👨🏼‍🚀 ✉️ 🧑🏽‍🤝‍🧑🏼 Mongodb 3.2 कुछ विवरण जारी करता है 😓 🖕🏻 🕧

दूसरे दिन, mongodb की एक नई स्थिर रिलीज जारी की mongodb । इस संस्करण में, कई नवाचारों को जोड़ा गया जैसे कि mongodb , LEFT JOIN , दस्तावेज़ सत्यापन, आदि के साथ दृश्य कार्य के लिए एक नया GUI । हम नीचे दिए गए छोटे उदाहरणों में इनमें से कुछ गुणों पर विचार करेंगे।

आंशिक सूचकांक

MongoDB 3.2 केवल उन संग्रह दस्तावेजों के लिए अनुक्रमित बनाने की क्षमता प्रदान करता है जो निर्दिष्ट फ़िल्टर से मेल खाएंगे। सूचकांक में आवश्यक दस्तावेजों के केवल एक हिस्से को अनुक्रमणित करने से कई फायदे होते हैं, जैसे कि कम भंडारण आवश्यकताएं, और कम उत्पादकता लागत, एक सूचकांक बनाने और बनाए रखने के लिए। आप सभी प्रकार के MongoDB इंडेक्स के लिए partialFilterExpression विकल्प को निर्दिष्ट कर सकते हैं।

एक आंशिक अनुक्रमणिका बनाने के लिए, नए partialFilterExpression विकल्प के साथ db.collection.createIndex() विधि का उपयोग करें। निम्नलिखित उदाहरण में, एक समग्र सूचकांक बनाएं जो केवल उन दस्तावेजों को 5 से अधिक की रेटिंग के साथ अनुक्रमित करेगा।

 db.restaurants.createIndex( { cuisine: 1, name: 1 }, { partialFilterExpression: { rating: { $gt: 5 } } } )

विरल सूचकांक के साथ तुलना।

एक आंशिक सूचकांक एक विरल सूचकांक की तुलना में क्षमताओं का एक बड़ा सेट प्रदान करता है और इसलिए यह बेहतर है। एक आंशिक सूचकांक यह इंगित करने के लिए अधिक अभिव्यंजक तंत्र प्रदान करता है कि कौन से दस्तावेज़ सर्वोत्तम अनुक्रमित हैं।
स्पार्स अनुक्रमित अनुक्रमित क्षेत्र की उपस्थिति के आधार पर केवल अनुक्रमण के लिए दस्तावेजों का चयन करते हैं।
आंशिक सूचकांक का उपयोग करते हुए विरल सूचकांक व्यवहार का एक उदाहरण:

 db.contacts.createIndex( { name: 1 }, { partialFilterExpression: { name: { $exists: true } } } )

एक आंशिक सूचकांक के साथ एक और उदाहरण पर विचार करें, यहां उस क्षेत्र को किस name से अनुक्रमित किया जाएगा, और वह क्षेत्र जिसके द्वारा दस्तावेजों को फ़िल्टर किया जाएगा वह है:

 db.contacts.createIndex( { name: 1 }, { partialFilterExpression: { email: { $exists: true } } } )

निम्नलिखित क्वेरी एक सूचकांक का उपयोग कर सकती है:

 db.contacts.find( { name: "xyz", email: { $regex: /\.org$/ } } )

और इस क्वेरी के लिए, इंडेक्स का उपयोग नहीं किया जा सकता है:

 db.contacts.find( { name: "xyz", email: { $exists: false } } )

प्रतिबंध

mongodb आप एक इंडेक्स के कई संस्करण नहीं बना सकते हैं जो केवल मापदंडों में भिन्न होते हैं। आप कई आंशिक अनुक्रमणिकाएँ नहीं बना सकते जो केवल फ़िल्टर मापदंडों में भिन्न होती हैं।
mongodb पहले के संस्करणों ने आंशिक सूचकांक का समर्थन नहीं किया। सभी sharded क्लस्टर, प्रतिकृति सेट, और सभी नोड्स mongodb 3.2 पर काम करना चाहिए।
_id इंडेक्स आंशिक इंडेक्स नहीं हो सकता।
एक शार्क कुंजी एक आंशिक सूचकांक नहीं हो सकती।

restaurants संग्रह पर विचार करें, जिसमें निम्नलिखित दस्तावेज शामिल हैं और इस तरह दिखता है:

 { "_id" : ObjectId("5641f6a7522545bc535b5dc9"), "address" : { "building" : "1007", "coord" : [ -73.856077, 40.848447 ], "street" : "Morris Park Ave", "zipcode" : "10462" }, "borough" : "Bronx", "cuisine" : "Bakery", "rating" : { "date" : ISODate("2014-03-03T00:00:00Z"), "grade" : "A", "score" : 2 }, "name" : "Morris Park Bake Shop", "restaurant_id" : "30075445" }

हम उन दस्तावेज़ों को केवल फ़िल्टर cuisine उन क्षेत्रों के लिए एक इंडेक्स जोड़ सकते हैं जो borough और cuisine

 db.restaurants.createIndex( { borough: 1, cuisine: 1 }, { partialFilterExpression: { 'rating.grade': { $eq: "A" } } } )

एक आंशिक अनुक्रमणिका का उपयोग करके restaurants संग्रह पर निम्नलिखित क्वेरी Bronx में स्थित सभी रेस्तरां वापस rating.grade जहां rating.grade A बराबर है

 db.restaurants.find( { borough: "Bronx", 'rating.grade': "A" } )

और यह अनुरोध इंडेक्स का उपयोग करने में सक्षम नहीं होगा, क्योंकि rating.grade कोई फ़ील्ड नहीं हैं

 db.restaurants.find( { borough: "Bronx", cuisine: "Bakery" } )

आंशिक विशिष्टता प्रतिबंधित सूचकांक

एक आंशिक सूचकांक को उन दस्तावेजों पर लागू किया जा सकता है जिनमें एक अद्वितीय बाधा होती है ।

उदाहरण के लिए, निम्नलिखित दस्तावेजों वाले users संग्रह को लें:

 { "_id" : ObjectId("56424f1efa0358a27fa1f99a"), "username" : "david", "age" : 29 } { "_id" : ObjectId("56424f37fa0358a27fa1f99b"), "username" : "amanda", "age" : 35 } { "_id" : ObjectId("56424fe2fa0358a27fa1f99c"), "username" : "rajiv", "age" : 57 }

निम्नलिखित ऑपरेशन एक सूचकांक बनाएगा जो username फ़ील्ड पर एक अद्वितीय बाधा और अभिव्यक्ति की age: { $gte: 21 } लिए एक आंशिक फिल्टर लगाता है age: { $gte: 21 }

 db.users.createIndex( { username: 1 }, { unique: true, partialFilterExpression: { age: { $gte: 21 } } } )

सूचकांक निम्नलिखित दस्तावेजों के सम्मिलन को रोकता है क्योंकि निर्दिष्ट नाम वाले दस्तावेज़ पहले से मौजूद हैं और age क्षेत्र 21 से अधिक है:

 db.users.insert( { username: "david", age: 27 } ) db.users.insert( { username: "amanda", age: 25 } ) db.users.insert( { username: "rajiv", age: 32 } )

और ये दस्तावेज डाले जाएंगे:

 db.users.insert( { username: "david", age: 20 } ) db.users.insert( { username: "amanda" } ) db.users.insert( { username: "rajiv", age: null } )

मान्यता

संस्करण 3.2 शुरू होकर, मोंगोडब अद्यतन और सम्मिलन प्रक्रिया के दौरान दस्तावेजों की जांच करने की क्षमता प्रदान करता है। सत्यापन नियम निर्दिष्ट किए जाते हैं, जब संग्रह वैध रूप से विकल्प का उपयोग करके, या किसी मौजूदा संग्रह के लिए collMod कमांड का उपयोग करके बनाया जाता है। validator विकल्प एक ऐसे दस्तावेज को स्वीकार करता है जो कुछ अभिव्यक्तियों से मेल खाता है, $geoNear के अपवाद के साथ, $near , $nearSphere $near , $text और $where ।

contacts संग्रह बनाते समय सत्यापन बनाने के निम्नलिखित उदाहरण पर विचार करें:

 db.createCollection( "contacts", { validator: { $or: [ { phone: { $type: "string" } }, { email: { $regex: /@mongodb\.com$/ } }, { status: { $in: [ "Unknown", "Incomplete" ] } } ] } } )

MongoDB एक validationLevel विकल्प भी प्रदान करता है, जो निर्धारित करता है कि MongoDB मौजूदा दस्तावेज़ों के सत्यापन के नियमों को कितनी सख्ती से लागू करता है जब वे अपडेट किए जाते हैं, और एक validationAction विकल्प, जो यह निर्धारित करता है कि क्या मोंडोड को सत्यापन नियमों का उल्लंघन करने वाले दस्तावेज़ों को अस्वीकार करना चाहिए।

व्यवहार

दस्तावेजों को अपडेट और सम्मिलित करते समय वैधता होती है। संग्रह में मान्यता जोड़ते समय, मौजूदा दस्तावेजों को संशोधित नहीं किया जाता है।

मौजूदा दस्तावेज़

आप नियंत्रित कर सकते हैं कि mongodb विकल्प validationLevel विकल्प का उपयोग करके मौजूदा दस्तावेजों को कैसे संसाधित करता है।
डिफ़ॉल्ट रूप से, validationLevel mongodb strict , और mongodb सभी सम्मिलन और अद्यतनों के लिए सत्यापन नियम लागू करता है। यदि validationLevel को moderate सेट किया गया है, तो दस्तावेजों को सम्मिलित और अद्यतन करते समय सत्यापन नियम केवल उन दस्तावेजों पर लागू होते हैं जो पूरी तरह से वैध मानदंडों को पूरा करते हैं।

contacts संग्रह में निम्नलिखित दस्तावेजों पर विचार करें:

 { "_id": "125876" "name": "Anne", "phone": "+1 555 123 456", "city": "London", "status": "Complete" }, { "_id": "860000", "name": "Ivan", "city": "Vancouver" }

contacts संग्रह में सत्यापन जोड़ने के लिए कमांड चलाएँ:

 db.runCommand( { collMod: "contacts", validator: { $or: [ { phone: { $exists: true } }, { email: { $exists: true } } ] }, validationLevel: "moderate" } )

contacts संग्रह में अब एक सत्यापनकर्ता है। और अब यदि हम दस्तावेज़ को {_id: 125876} mongodb {_id: 125876} साथ अपडेट करते हैं, तो mongodb सत्यापन नियमों को लागू करेगा, क्योंकि मौजूदा दस्तावेज़ मानदंडों को पूरा करता है। और दस्तावेज़ के लिए { _id:860000 } , मोंगॉडब अपडेट के लिए सत्यापन नियमों को लागू नहीं करेगा, क्योंकि दस्तावेज़ सत्यापन नियम का पालन नहीं करता है।
अगर हमें सत्यापन को अक्षम करने की आवश्यकता है, तो हम validationLevel off करने के विकल्प को सेट कर सकते हैं।

अस्वीकार किए गए दस्तावेजों को स्वीकार या अस्वीकार करें

validationAction विकल्प यह निर्धारित करता है कि सत्यापन नियमों का उल्लंघन करने वाले दस्तावेजों से कैसे निपटें।
डिफ़ॉल्ट रूप से, validationAction error लिए सेट है और MongoDB सत्यापन नियम का उल्लंघन होने पर दस्तावेजों के किसी भी आवेषण और अपडेट को अस्वीकार करता है। जब validationAction लिए warn , तो MongoDB दस्तावेज़ों को लॉग करता है, लेकिन आवेषण और अपडेट की अनुमति देता है।

निम्न उदाहरण एक सत्यापनकर्ता के साथ एक contacts संग्रह बनाता है जो यह दर्शाता है कि सम्मिलित या अपडेट किए गए दस्तावेज़ों को निम्न तीन स्थितियों में से कम से कम एक को पूरा करना होगा:

phone फ़ील्ड एक स्ट्रिंग होना चाहिए
email फ़ील्ड को अनुपालन के लिए नियमित अभिव्यक्ति द्वारा जाँच की जानी चाहिए
status फ़ील्ड या तो अज्ञात या अपूर्ण होना चाहिए।

 db.createCollection( "contacts", { validator: { $or: [ { phone: { $type: "string" } }, { email: { $regex: /@mongodb\.com$/ } }, { status: { $in: [ "Unknown", "Incomplete" ] } } ], validationAction: "warn" } } )

अगली प्रविष्टि विफल होनी चाहिए, लेकिन चूंकि सत्यापन सत्यापन

validationAction warn , .
2015-10-15T11:20:44.260-0400 W STORAGE [conn3] Document would fail validation collection: example.contacts doc: { _id: ObjectId('561fc44c067a5d85b96274e4'), name: "Amanda", status: "Updated" }

नियम

validationAction warn , .
2015-10-15T11:20:44.260-0400 W STORAGE [conn3] Document would fail validation collection: example.contacts doc: { _id: ObjectId('561fc44c067a5d85b96274e4'), name: "Amanda", status: "Updated" }

validationAction warn , .
2015-10-15T11:20:44.260-0400 W STORAGE [conn3] Document would fail validation collection: example.contacts doc: { _id: ObjectId('561fc44c067a5d85b96274e4'), name: "Amanda", status: "Updated" }

 validationAction   warn ,         . 
 2015-10-15T11:20:44.260-0400 W STORAGE [conn3] Document would fail validation collection: example.contacts doc: { _id: ObjectId('561fc44c067a5d85b96274e4'), name: "Amanda", status: "Updated" }

validationAction warn , .
2015-10-15T11:20:44.260-0400 W STORAGE [conn3] Document would fail validation collection: example.contacts doc: { _id: ObjectId('561fc44c067a5d85b96274e4'), name: "Amanda", status: "Updated" }

प्रतिबंध

आप admin , local संग्रहों को मान्यता प्रदान नहीं कर सकते।
और आप system.* संग्रह के लिए एक सत्यापनकर्ता निर्दिष्ट नहीं कर सकते system.*

एग्रीगेशन फ्रेमवर्क और लेफ्टिनेंट इनोवेशन

$lookup - कई संग्रह को लिंक करना।
यद्यपि इस ऑपरेटर को mongodb लिए इसके left join कहा जाता था mongodb फिर भी यह मुझे लगता है कि यह प्रश्न थोड़ा व्यापक है, और इसे विभिन्न प्रकार के दस्तावेजों को जोड़ने के संदर्भ में माना जाना चाहिए, न कि संग्रह। मैंने इस प्रश्न का कुछ विस्तार से यहाँ वर्णन किया है ।
$lookup में निम्नलिखित सिंटैक्स है:

 { $lookup: { from: <  >, localField: <   >, foreignField: <     >, as: < > } }

उदाहरण में, हमारे पास दो संग्रह हैं:
orders संग्रह में निम्नलिखित दस्तावेज शामिल हैं:

 { "_id" : 1, "item" : "abc", "price" : 12, "quantity" : 2 } { "_id" : 2, "item" : "jkl", "price" : 20, "quantity" : 1 } { "_id" : 3 }

और एक inventory संग्रह जिसमें दस्तावेज़ हैं:

 { "_id" : 1, "sku" : "abc", description: "product 1", "instock" : 120 } { "_id" : 2, "sku" : "def", description: "product 2", "instock" : 80 } { "_id" : 3, "sku" : "ijk", description: "product 3", "instock" : 60 } { "_id" : 4, "sku" : "jkl", description: "product 4", "instock" : 70 } { "_id" : 5, "sku": null, description: "Incomplete" } { "_id" : 6 }

निम्नलिखित संग्रह ऑपरेशन, orders कलेक्शन के लिए, डॉक्युमेंट्स से orders साथ डॉक्यूमेंट फील्ड से orders और inventory से sku फील्ड से डॉक्युमेंट्स को लिंक करेगा।

 db.orders.aggregate([ { $lookup: { from: "inventory", localField: "item", foreignField: "sku", as: "inventory_docs" } } ])

बाहर निकलने पर, यह ऑपरेशन निम्नलिखित दस्तावेज लौटाएगा:

 { "_id" : 1, "item" : "abc", "price" : 12, "quantity" : 2, "inventory_docs" : [ { "_id" : 1, "sku" : "abc", description: "product 1", "instock" : 120 } ] } { "_id" : 2, "item" : "jkl", "price" : 20, "quantity" : 1, "inventory_docs" : [ { "_id" : 4, "sku" : "jkl", "description" : "product 4", "instock" : 70 } ] } { "_id" : 3, "inventory_docs" : [ { "_id" : 5, "sku" : null, "description" : "Incomplete" }, { "_id" : 6 } ] }

$sample - बेतरतीब ढंग से इनपुट स्ट्रीम से दस्तावेजों की एक संख्या का चयन करता है।
वाक्य रचना:

 { $sample: { size: <positive integer> } }

उदाहरण में, हमारे पास एक users संग्रह है जिसमें निम्नलिखित दस्तावेज हैं:

 { "_id" : 1, "name" : "dave123", "q1" : true, "q2" : true } { "_id" : 2, "name" : "dave2", "q1" : false, "q2" : false } { "_id" : 3, "name" : "ahn", "q1" : true, "q2" : true } { "_id" : 4, "name" : "li", "q1" : true, "q2" : false } { "_id" : 5, "name" : "annT", "q1" : false, "q2" : true } { "_id" : 6, "name" : "li", "q1" : true, "q2" : true } { "_id" : 7, "name" : "ty", "q1" : false, "q2" : true }

एकत्रीकरण ऑपरेशन बेतरतीब ढंग से संग्रह से तीन दस्तावेजों का चयन करेगा:

 db.users.aggregate( [ { $sample: { size: 3 } } ] )

PostgreSQL 9.5 , जो रिलीज़ होने वाला है, में भी एक समान सुविधा है।

$indexStats - प्रत्येक सूचकांक के लिए उपयोग के आंकड़े लौटाता है।
एक संग्रह के लिए प्रत्येक सूचकांक के लिए उपयोग के आंकड़े लौटाता है। यदि अभिगम नियंत्रण के साथ लॉन्च किया गया है, तो उपयोगकर्ता के पास विशेषाधिकारों को शामिल करना चाहिए।

वाक्य रचना:

 { $indexStats: { } }

उदाहरण के लिए, orders संग्रह को लें, जिसमें निम्नलिखित दस्तावेज हैं:

 { "_id" : 1, "item" : "abc", "price" : 12, "quantity" : 2, "type": "apparel" } { "_id" : 2, "item" : "jkl", "price" : 20, "quantity" : 1, "type": "electronics" } { "_id" : 3, "item" : "abc", "price" : 10, "quantity" : 5, "type": "apparel" }

संग्रह पर निम्नलिखित दो सूचकांक बनाएँ:

 db.orders.createIndex( { item: 1, quantity: 1 } ) db.orders.createIndex( { type: 1, item: 1 } )

आइए कुछ प्रश्नों पर अमल करें:

 db.orders.find( { type: "apparel"} ) db.orders.find( { item: "abc" } ).sort( { quantity: 1 } )

orders संग्रह के लिए सूचकांक के उपयोग पर आंकड़े देखने के लिए, निम्नलिखित ऑपरेशन करें:

 db.orders.aggregate( [ { $indexStats: { } } ] )

ऑपरेशन प्रत्येक सूचकांक के आँकड़ों वाले दस्तावेज़ लौटाएगा:

 { "name" : "item_1_quantity_1", "key" : { "item" : 1, "quantity" : 1 }, "host" : "examplehost.local:27017", "accesses" : { "ops" : NumberLong(1), "since" : ISODate("2015-10-02T14:31:53.685Z") } } { "name" : "_id_", "key" : { "_id" : 1 }, "host" : "examplehost.local:27017", "accesses" : { "ops" : NumberLong(0), "since" : ISODate("2015-10-02T14:31:32.479Z") } } { "name" : "type_1_item_1", "key" : { "type" : 1, "item" : 1 }, "host" : "examplehost.local:27017", "accesses" : { "ops" : NumberLong(1), "since" : ISODate("2015-10-02T14:31:58.321Z") } }

$stdDevSamp - इनपुट मूल्यों के नमूने के मानक विचलन की $stdDevSamp है।
$group और $project से उपलब्ध, गैर-संख्यात्मक मानों को अनदेखा करता है और यदि हां, तो null ।
उदाहरण के लिए, users संग्रह लें:

 {_id: 0, username: "user0", age: 20} {_id: 1, username: "user1", age: 42} {_id: 2, username: "user2", age: 28}

उपयोगकर्ताओं के यादृच्छिक नमूने के मानक विचलन की गणना करने के लिए, हम पहले 100 उपयोगकर्ताओं के नमूने के लिए $sample ऑपरेटर का उपयोग करते हैं, और फिर गणना के लिए $stdDevSamp उपयोग करते हैं।

 db.users.aggregate( [ { $sample: { size: 100 } }, { $group: { _id: null, ageStdDev: { $stdDevSamp: "$age" } } } ] )

परिणाम:

 { "_id" : null, "ageStdDev" : 7.811258386185771 }

नए एकत्रीकरण अंकगणितीय ऑपरेटर

$sqrt - वर्गमूल की गणना करता है।
वाक्य-विन्यास

 { $sqrt: <number> }

सरल उदाहरण:

 { $sqrt: 25 } 5 { $sqrt: 30 } 5.477225575051661 { $sqrt: null } null

दस्तावेजों के साथ points का एक संग्रह है:

 { _id: 1, p1: { x: 5, y: 8 }, p2: { x: 0, y: 5} } { _id: 2, p1: { x: -2, y: 1 }, p2: { x: 1, y: 5} } { _id: 3, p1: { x: 4, y: 4 }, p2: { x: 4, y: 0} }

निम्नलिखित उदाहरण p1 और p2 बीच की दूरी की गणना करने के लिए $sqrt का उपयोग करता है:

 db.points.aggregate([ { $project: { distance: { $sqrt: { $add: [ { $pow: [ { $subtract: [ "$p2.y", "$p1.y" ] }, 2 ] }, { $pow: [ { $subtract: [ "$p2.x", "$p1.x" ] }, 2 ] } ] } } } } ])

आउटपुट निम्न परिणाम है:

 { "_id" : 1, "distance" : 5.830951894845301 } { "_id" : 2, "distance" : 5 } { "_id" : 3, "distance" : 4 }

$abs - किसी संख्या का निरपेक्ष मान लौटाता है
वाक्य-विन्यास

 { $abs: <number> }

एक सरल उदाहरण:

 { $abs: -1 } 1 { $abs: 1 } 1 { $abs: null } null

ratings संग्रह में दस्तावेज हैं:

 { _id: 1, start: 5, end: 8 } { _id: 2, start: 4, end: 4 } { _id: 3, start: 9, end: 7 } { _id: 4, start: 6, end: 7 }

निम्नलिखित उदाहरण प्रारंभिक और अंतिम रेटिंग के बीच अंतर की गणना करता है:

 db.ratings.aggregate([ { $project: { delta: { $abs: { $subtract: [ "$start", "$end" ] } } } } ])

आउटपुट:

 { "_id" : 1, "delta" : 3 } { "_id" : 2, "delta" : 0 } { "_id" : 3, "delta" : 2 } { "_id" : 4, "delta" : 1 }

$log - लॉगरिदम की गणना करता है।
वाक्य-विन्यास

 { $log: [ <number>, <base> ] }

किसी संख्या के लघुगणक की गणना करता है, और परिणाम को एक अंश के रूप में लौटाता है।
examples का एक संग्रह है:

 { _id: 1, positiveInt: 5 } { _id: 2, positiveInt: 2 } { _id: 3, positiveInt: 23 } { _id: 4, positiveInt: 10 }

सकारात्मक उदाहरण का प्रतिनिधित्व करने के लिए आवश्यक बिट्स की संख्या निर्धारित करने के लिए निम्न उदाहरण log2 का उपयोग करता है

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

. : { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } $ln - . { $ln: <number> } { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } , : db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) : { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } $pow - ( ). : { $pow: [ <number>, <exponent> ] } : { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } , : db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) : { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } $exp - . { exp: <number> } : { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 $trunc - . : { $trunc: <number> } { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 $ceil - , . : { $ceil: <number> } { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 $floor - , . : { floor: <number> } : { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } $slice - . : { $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] } { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } , favorites : db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } $arrayElemAt - . : { $arrayElemAt: [ <array>, <idx> ] } : { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } $concatArrays - . : { $concatArrays: [ <array1>, <array2>, ... ] } : { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] $isArray - , . { $isArray: [ ] } warehouses : { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } , instock , ordered , , , , : db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } $filter - . { $filter: { input: <array>, as: <string>, cond: <expression> } } : { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] $project mongodb 3.2 , $project , [] , . : { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } $project x y myArray : db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) : { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } , mongorestore mongodump , , , . test.20150715.archive test . . mongorestore --archive=test.20150715.archive --db test , mongorestore archive . : mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 CRUD CRUD (Create/Read/Update/Delete) API , mongo shell . db.collection.bulkWrite() - , . , bulkWrite() , : db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne . db.collection.deleteMany() - db.collection.remove() . db.collection.deleteOne() - db.collection.remove() justOne true - db.collection.remove( , true ) db.collection.remove( , { justOne: true } ). db.collection.findOneAndDelete() - db.collection.findAndModify() remove true. db.collection.findOneAndReplace() - db.collection.findAndModify() . db.collection.findOneAndUpdate() - db.collection.findAndModify() update . db.collection.insertMany() - db.collection.insert() . db.collection.insertOne() - db.collection.insert() . db.collection.replaceOne() - db.collection.update( , ) . db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true . db.collection.updateOne() - db.collection.update( , ) WiredTiger fsyncLock MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , . WiredTiger . GUI compass Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon . compass, , Mac OS Windows. , , . , GUI Windows mongoDB , : , “” C:\mongodb . : mkdir c:\data\db mkdir c:\data\log C:\mongodb\mongod.cfg : systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db mongodb : "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install : net start MongoDB , . , c:\mongodb\mongo.exe compass, . : , , . , . , , (, ) json. , , GUI , - . PS . mongodb windows compass mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

. : { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } $ln - . { $ln: <number> } { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } , : db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) : { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } $pow - ( ). : { $pow: [ <number>, <exponent> ] } : { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } , : db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) : { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } $exp - . { exp: <number> } : { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 $trunc - . : { $trunc: <number> } { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 $ceil - , . : { $ceil: <number> } { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 $floor - , . : { floor: <number> } : { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } $slice - . : { $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] } { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } , favorites : db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } $arrayElemAt - . : { $arrayElemAt: [ <array>, <idx> ] } : { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } $concatArrays - . : { $concatArrays: [ <array1>, <array2>, ... ] } : { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] $isArray - , . { $isArray: [ ] } warehouses : { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } , instock , ordered , , , , : db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } $filter - . { $filter: { input: <array>, as: <string>, cond: <expression> } } : { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] $project mongodb 3.2 , $project , [] , . : { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } $project x y myArray : db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) : { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } , mongorestore mongodump , , , . test.20150715.archive test . . mongorestore --archive=test.20150715.archive --db test , mongorestore archive . : mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 CRUD CRUD (Create/Read/Update/Delete) API , mongo shell . db.collection.bulkWrite() - , . , bulkWrite() , : db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne . db.collection.deleteMany() - db.collection.remove() . db.collection.deleteOne() - db.collection.remove() justOne true - db.collection.remove( , true ) db.collection.remove( , { justOne: true } ). db.collection.findOneAndDelete() - db.collection.findAndModify() remove true. db.collection.findOneAndReplace() - db.collection.findAndModify() . db.collection.findOneAndUpdate() - db.collection.findAndModify() update . db.collection.insertMany() - db.collection.insert() . db.collection.insertOne() - db.collection.insert() . db.collection.replaceOne() - db.collection.update( , ) . db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true . db.collection.updateOne() - db.collection.update( , ) WiredTiger fsyncLock MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , . WiredTiger . GUI compass Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon . compass, , Mac OS Windows. , , . , GUI Windows mongoDB , : , “” C:\mongodb . : mkdir c:\data\db mkdir c:\data\log C:\mongodb\mongod.cfg : systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db mongodb : "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install : net start MongoDB , . , c:\mongodb\mongo.exe compass, . : , , . , . , , (, ) json. , , GUI , - . PS . mongodb windows compass mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

. : { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } $ln - . { $ln: <number> } { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } , : db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) : { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } $pow - ( ). : { $pow: [ <number>, <exponent> ] } : { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } , : db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) : { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } $exp - . { exp: <number> } : { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 $trunc - . : { $trunc: <number> } { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 $ceil - , . : { $ceil: <number> } { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 $floor - , . : { floor: <number> } : { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } $slice - . : { $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] } { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } , favorites : db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } $arrayElemAt - . : { $arrayElemAt: [ <array>, <idx> ] } : { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } $concatArrays - . : { $concatArrays: [ <array1>, <array2>, ... ] } : { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] $isArray - , . { $isArray: [ ] } warehouses : { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } , instock , ordered , , , , : db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } $filter - . { $filter: { input: <array>, as: <string>, cond: <expression> } } : { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] $project mongodb 3.2 , $project , [] , . : { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } $project x y myArray : db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) : { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } , mongorestore mongodump , , , . test.20150715.archive test . . mongorestore --archive=test.20150715.archive --db test , mongorestore archive . : mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 CRUD CRUD (Create/Read/Update/Delete) API , mongo shell . db.collection.bulkWrite() - , . , bulkWrite() , : db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne . db.collection.deleteMany() - db.collection.remove() . db.collection.deleteOne() - db.collection.remove() justOne true - db.collection.remove( , true ) db.collection.remove( , { justOne: true } ). db.collection.findOneAndDelete() - db.collection.findAndModify() remove true. db.collection.findOneAndReplace() - db.collection.findAndModify() . db.collection.findOneAndUpdate() - db.collection.findAndModify() update . db.collection.insertMany() - db.collection.insert() . db.collection.insertOne() - db.collection.insert() . db.collection.replaceOne() - db.collection.update( , ) . db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true . db.collection.updateOne() - db.collection.update( , ) WiredTiger fsyncLock MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , . WiredTiger . GUI compass Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon . compass, , Mac OS Windows. , , . , GUI Windows mongoDB , : , “” C:\mongodb . : mkdir c:\data\db mkdir c:\data\log C:\mongodb\mongod.cfg : systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db mongodb : "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install : net start MongoDB , . , c:\mongodb\mongo.exe compass, . : , , . , . , , (, ) json. , , GUI , - . PS . mongodb windows compass mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

. : { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } $ln - . { $ln: <number> } { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } , : db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) : { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } $pow - ( ). : { $pow: [ <number>, <exponent> ] } : { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } , : db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) : { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } $exp - . { exp: <number> } : { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 $trunc - . : { $trunc: <number> } { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 $ceil - , . : { $ceil: <number> } { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 $floor - , . : { floor: <number> } : { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } $slice - . : { $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] } { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } , favorites : db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } $arrayElemAt - . : { $arrayElemAt: [ <array>, <idx> ] } : { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } $concatArrays - . : { $concatArrays: [ <array1>, <array2>, ... ] } : { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] $isArray - , . { $isArray: [ ] } warehouses : { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } , instock , ordered , , , , : db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } $filter - . { $filter: { input: <array>, as: <string>, cond: <expression> } } : { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] $project mongodb 3.2 , $project , [] , . : { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } $project x y myArray : db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) : { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } , mongorestore mongodump , , , . test.20150715.archive test . . mongorestore --archive=test.20150715.archive --db test , mongorestore archive . : mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 CRUD CRUD (Create/Read/Update/Delete) API , mongo shell . db.collection.bulkWrite() - , . , bulkWrite() , : db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne . db.collection.deleteMany() - db.collection.remove() . db.collection.deleteOne() - db.collection.remove() justOne true - db.collection.remove( , true ) db.collection.remove( , { justOne: true } ). db.collection.findOneAndDelete() - db.collection.findAndModify() remove true. db.collection.findOneAndReplace() - db.collection.findAndModify() . db.collection.findOneAndUpdate() - db.collection.findAndModify() update . db.collection.insertMany() - db.collection.insert() . db.collection.insertOne() - db.collection.insert() . db.collection.replaceOne() - db.collection.update( , ) . db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true . db.collection.updateOne() - db.collection.update( , ) WiredTiger fsyncLock MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , . WiredTiger . GUI compass Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon . compass, , Mac OS Windows. , , . , GUI Windows mongoDB , : , “” C:\mongodb . : mkdir c:\data\db mkdir c:\data\log C:\mongodb\mongod.cfg : systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db mongodb : "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install : net start MongoDB , . , c:\mongodb\mongo.exe compass, . : , , . , . , , (, ) json. , , GUI , - . PS . mongodb windows compass mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

. : { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } $ln - . { $ln: <number> } { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } , : db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) : { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } $pow - ( ). : { $pow: [ <number>, <exponent> ] } : { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } , : db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) : { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } $exp - . { exp: <number> } : { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 $trunc - . : { $trunc: <number> } { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 $ceil - , . : { $ceil: <number> } { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 $floor - , . : { floor: <number> } : { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } $slice - . : { $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] } { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } , favorites : db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } $arrayElemAt - . : { $arrayElemAt: [ <array>, <idx> ] } : { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } $concatArrays - . : { $concatArrays: [ <array1>, <array2>, ... ] } : { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] $isArray - , . { $isArray: [ ] } warehouses : { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } , instock , ordered , , , , : db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } $filter - . { $filter: { input: <array>, as: <string>, cond: <expression> } } : { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] $project mongodb 3.2 , $project , [] , . : { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } $project x y myArray : db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) : { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } , mongorestore mongodump , , , . test.20150715.archive test . . mongorestore --archive=test.20150715.archive --db test , mongorestore archive . : mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 CRUD CRUD (Create/Read/Update/Delete) API , mongo shell . db.collection.bulkWrite() - , . , bulkWrite() , : db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne . db.collection.deleteMany() - db.collection.remove() . db.collection.deleteOne() - db.collection.remove() justOne true - db.collection.remove( , true ) db.collection.remove( , { justOne: true } ). db.collection.findOneAndDelete() - db.collection.findAndModify() remove true. db.collection.findOneAndReplace() - db.collection.findAndModify() . db.collection.findOneAndUpdate() - db.collection.findAndModify() update . db.collection.insertMany() - db.collection.insert() . db.collection.insertOne() - db.collection.insert() . db.collection.replaceOne() - db.collection.update( , ) . db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true . db.collection.updateOne() - db.collection.update( , ) WiredTiger fsyncLock MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , . WiredTiger . GUI compass Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon . compass, , Mac OS Windows. , , . , GUI Windows mongoDB , : , “” C:\mongodb . : mkdir c:\data\db mkdir c:\data\log C:\mongodb\mongod.cfg : systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db mongodb : "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install : net start MongoDB , . , c:\mongodb\mongo.exe compass, . : , , . , . , , (, ) json. , , GUI , - . PS . mongodb windows compass mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

. : { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } $ln - . { $ln: <number> } { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } , : db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) : { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } $pow - ( ). : { $pow: [ <number>, <exponent> ] } : { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } , : db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) : { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } $exp - . { exp: <number> } : { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 $trunc - . : { $trunc: <number> } { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 $ceil - , . : { $ceil: <number> } { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 $floor - , . : { floor: <number> } : { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } $slice - . : { $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] } { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } , favorites : db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } $arrayElemAt - . : { $arrayElemAt: [ <array>, <idx> ] } : { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } $concatArrays - . : { $concatArrays: [ <array1>, <array2>, ... ] } : { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] $isArray - , . { $isArray: [ ] } warehouses : { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } , instock , ordered , , , , : db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } $filter - . { $filter: { input: <array>, as: <string>, cond: <expression> } } : { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] $project mongodb 3.2 , $project , [] , . : { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } $project x y myArray : db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) : { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } , mongorestore mongodump , , , . test.20150715.archive test . . mongorestore --archive=test.20150715.archive --db test , mongorestore archive . : mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 CRUD CRUD (Create/Read/Update/Delete) API , mongo shell . db.collection.bulkWrite() - , . , bulkWrite() , : db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne . db.collection.deleteMany() - db.collection.remove() . db.collection.deleteOne() - db.collection.remove() justOne true - db.collection.remove( , true ) db.collection.remove( , { justOne: true } ). db.collection.findOneAndDelete() - db.collection.findAndModify() remove true. db.collection.findOneAndReplace() - db.collection.findAndModify() . db.collection.findOneAndUpdate() - db.collection.findAndModify() update . db.collection.insertMany() - db.collection.insert() . db.collection.insertOne() - db.collection.insert() . db.collection.replaceOne() - db.collection.update( , ) . db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true . db.collection.updateOne() - db.collection.update( , ) WiredTiger fsyncLock MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , . WiredTiger . GUI compass Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon . compass, , Mac OS Windows. , , . , GUI Windows mongoDB , : , “” C:\mongodb . : mkdir c:\data\db mkdir c:\data\log C:\mongodb\mongod.cfg : systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db mongodb : "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install : net start MongoDB , . , c:\mongodb\mongo.exe compass, . : , , . , . , , (, ) json. , , GUI , - . PS . mongodb windows compass mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

 . 
 : 
 { "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 } 
 $ln -    . 
  
 { $ln: <number> } 
 { _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 } 
   ,    : 
 db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ) 
 : 
 { "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 } 
 
 $pow -      (  ). 
 : 
 { $pow: [ <number>, <exponent> ] } : 
 { $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04 
 { "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] } 
  ,     : 
 db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]) 
 : 
 { "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 } 
 
 $exp -     . 
  
 { exp: <number> } 
 : 
 { $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127 
 
 $trunc -     . 
 : 
 { $trunc: <number> } 
 { $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2 
 
 $ceil -    ,     . 
 : 
 { $ceil: <number> } 
 { $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2 
 
 $floor -    ,     . 
 : 
 { floor: <number> } 
 : 
 { $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3 
 
 { _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 } 
 
        
 $slice -   . 
 : 
 { $slice: [ <array>, <n> ] }  { $slice: [ <array>, <position>, <n> ] } 
 { "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] } 
 { "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] } 
 { "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] } 
 { "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] } 
   ,       favorites   : 
 db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] } 
 
 $arrayElemAt -       . 
 : 
 { $arrayElemAt: [ <array>, <idx> ] } 
 : 
 { $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] } 
 
 $concatArrays -  . 
 : 
 { $concatArrays: [ <array1>, <array2>, ... ] } 
 : 
 { $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ] 
 
 $isArray - ,     . 
  
 { $isArray: [ ] } 
     warehouses   : 
 { "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] } 
 
  ,     instock ,   ordered ,  ,    ,   ,    : 
 
 db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] } 
 
 $filter -     . 
  
 { $filter: { input: <array>, as: <string>, cond: <expression> } } 
 : 
 { $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ] 
 
    $project 
  mongodb 3.2 ,  $project ,      [] ,       . 
    : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 } 
  $project   x  y    myArray : 
 db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ) 
 : 
 { "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] } 
      ,  
 mongorestore  mongodump     ,   ,     ,     . 
 
      test.20150715.archive   test .   . 
 mongorestore --archive=test.20150715.archive --db test 
     ,   mongorestore   archive    . : 
 mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018 
 
    CRUD 
 
    CRUD (Create/Read/Update/Delete) API ,  mongo shell    . 
 
 db.collection.bulkWrite() -    ,      . 
  ,    bulkWrite() ,   : 
 db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } ) 
  ordered : false ,    . , deleteOne  deleteMany             insertOne , updateOne , updateMany  replaceOne . 
 
 db.collection.deleteMany() -  db.collection.remove() . 
 db.collection.deleteOne() -  db.collection.remove()   justOne   true 
  - db.collection.remove( , true )  db.collection.remove( , { justOne: true } ). 
 db.collection.findOneAndDelete() -  db.collection.findAndModify()   remove   true. 
 db.collection.findOneAndReplace() -  db.collection.findAndModify() . 
 db.collection.findOneAndUpdate() -  db.collection.findAndModify()     update  . 
 db.collection.insertMany() -  db.collection.insert()      . 
 db.collection.insertOne() -  db.collection.insert()     . 
 db.collection.replaceOne() -   db.collection.update( , )       . 
 db.collection.updateMany() -  db.collection.update( , , { multi: true, ... })    multi   true . 
 db.collection.updateOne() -  db.collection.update( , ) 
 
  WiredTiger  fsyncLock 
   MongoDB 3.2 ,  WiredTiger   fsync   lock   mongo shell db.fsyncLock().  ,   WiredTiger ,    ,     ,       . 
     WiredTiger    . 
 
   GUI compass 
   Mongodb , ,    GUI    .   MongoDB Compass .              compass    c web .   nosql   couchdb      futon . 
 
    compass,    ,      Mac OS  Windows.       ,      ,     . 
 
 ,       GUI   Windows mongoDB   ,   : 
 ,     “”      C:\mongodb . 
           : 
 mkdir c:\data\db mkdir c:\data\log 
        C:\mongodb\mongod.cfg     : 
 systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db 
   mongodb : 
 "C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install 
    : 
 net start MongoDB 
  , .                 , c:\mongodb\mongo.exe 
 
       compass,        .       : 
  
         ,      ,         .      ,     . 
 
   ,  ,        (,   )      json. 
  
 
  ,   ,  GUI    ,   -   . 
 
 PS          . 
 
  mongodb  windows 
   compass 
  mongodb compass

.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .

{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }

$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }

$exp - .

{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127

$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2

$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2

$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3

{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }


$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }

$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }

$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]

$isArray - , .

{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }

, instock , ordered , , , , :

db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }

$filter - .

{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]

$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .

test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018

CRUD

CRUD (Create/Read/Update/Delete) API , mongo shell .

db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .

db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )

WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .

GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .

compass, , Mac OS Windows. , , .

, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe

compass, . :

, , . , .

, , (, ) json.


, , GUI , - .

PS .

mongodb windows
compass
mongodb compass

Mongodb 3.2 कुछ विवरण जारी करता है

आंशिक सूचकांक

विरल सूचकांक के साथ तुलना।

प्रतिबंध

आंशिक विशिष्टता प्रतिबंधित सूचकांक

मान्यता

व्यवहार

मौजूदा दस्तावेज़

अस्वीकार किए गए दस्तावेजों को स्वीकार या अस्वीकार करें

प्रतिबंध

एग्रीगेशन फ्रेमवर्क और लेफ्टिनेंट इनोवेशन

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