GlobalsDB एक सार्वभौमिक NoSQL डेटाबेस है। भाग २

• वैश्विक नाम
• अनुक्रमित (शून्य, एक या अधिक)। वे पाठ्य या संख्यात्मक हो सकते हैं।
• मूल्य (जो वास्तव में, वैश्विक तत्व में संग्रहीत होता है)। हो सकता है पाठात्मक या संख्यात्मक

globalName[subscript1, subscript2, ..subscriptN] = value 

 myGlobal["a"] = 123 myGlobal["b", "c1"] = "foo" myGlobal["b", "c2"] = "foo2" myGlobal["d", "e1", "f1"] = "bar1" myGlobal["d", "e1", "f2"] = "bar2" myGlobal["d", "e2", "f1"] = "bar1" myGlobal["d", "e2", "f2"] = "bar2" myGlobal["d", "e2", "f3"] = "bar3" 

 var globalNode = { global:"myGlobal", subscripts: ["b","c3"], data: "Rob" }; db.set(globalNode, function(error,results) { // etc }); 

 var globalNode = { global:"myGlobal", subscripts: ["b","c3"], data: "Rob" }; db.set(globalNode); 

अनुवादक का ध्यान दें: हालाँकि, यदि आपको नेटवर्क NoSQL डेटाबेस की आवश्यकता है, तो इसे उसी Node.JS + GlobalsDB पर बनाना आसान है - उदाहरण के लिए, केवल JSON आधारित API लिखें।

 keyValueStore[key] = value 

 telephone["211-555-9012"] = "James, George" telephone["617-555-1414"] = "Tweed, Rob" 

 Telephone[phoneNumber, "name"] = value Telephone[phoneNumber, "address"] = value 

 telephone["211-555-9012", "name"] = "James, George" telephone["211-555-9012", "address"] = "5308, 12th Avenue, Brooklyn" telephone["617-555-1414", "name"] = "Tweed, Rob" telephone["617-555-1414", "address"] = "112 Beacon Street, Boston" 

 var gnode = { global: "telephone", subscripts: ["617-555-1414", "name"], data: "Tweed, Rob" }; db.set(gnode); 

 nameIndex[name, phoneNumber] = "" 

 nameIndex["James, George", "211-555-9012"] = "" nameIndex["Tweed, Rob", "617-555-1414"] = "" 

 gnode = { global: "nameIndex", subscripts:["James, George"] }; var nextName = db.order(gnode).result; 

 nextName = "Tweed, Rob" 

 telephone["data", phoneNumber, "address"] = address telephone["data", phoneNumber, "name"] = name telephone["nameIndex", name, phoneNumber] = "" 

 list[listName, "firstNode"] = nodeNo list[listName, "lastNode"] = nodeNo list[listName, "node", nodeNo, "value"] = value list[listName, "node", nodeNo, "nextNode"] = nextNodeNo list[listName, "node", nodeNo, "previousNode"] = prevNodeNo 

• लूटना
• जॉर्ज
• जॉन

 list["myList", "firstNode"] = 5 list["myList", "lastNode"] = 2 list["myList", "nodeCounter"] = 5 list["myList", "node", 2, "previousNode"] = 4 list["myList", "node", 2, "value"] = "John" list["myList", "node", 4, "nextNode"] = 2 list["myList", "node", 4, "previousNode"] = 5 list["myList", "node", 4, "value"] = "George" list["myList", "node", 5, "nextNode"] = 4 list["myList", "node", 5, "value"] = "Rob" 

• पहले या अंतिम नोड के लिए पॉइंटर रीसेट करें
• आइटम मान जोड़ें या निकालें
• सूची से आइटम डालने या निकालने के लिए अगले और पिछले आइटम के लिए सही मान सेट करें

 list["myList", "firstNode"] = 6 list["myList", "lastNode"] = 2 list["myList", "nodeCounter"] = 6 list["myList", "node", 2, "previousNode"] = 4 list["myList", "node", 2, "value"] = "John" list["myList", "node", 4, "nextNode"] = 2 list["myList", "node", 4, "previousNode"] = 5 list["myList", "node", 4, "value"] = "George" list["myList", "node", 5, "nextNode"] = 4 list["myList", "node", 5, "previousNode"] = 6 list["myList", "node", 5, "value"] = "Rob" list["myList", "node", 6, "nextNode"] = 5 list["myList", "node", 6, "value"] = "Chris" 

 List["myList", "count"] = noOfNodes 

 theSet[setName, elementValue] = "" 

 Set: theSet["mySet", "Rob"] = "" 

 Kill: theSet["mySet", "Rob"] 

 Data: theSet["mySet", "Rob"] → 1 Data: theSet["mySet", "Robxxx"] → 0 

 gnode = { global: "theset", subscripts: ["mySet", "Rob"] }; var exists = db.data(gnode).defined; 

 Hash[hashName, value] = "" 

 columnStore[columnName, rowId] = value 

 user["dateOfBirth", 3] = "1987-01-23" user["email", 1] = "rob@foo.com" user["email", 2] = "george@foo.com" user["name", 1] = "Rob" user["name", 2] = "George" user["name", 3] = "John" user["state", 1] = "MA" user["state", 2] = "NY" user["telephone", 2] = "211-555-4121" 

 userIndex["byRow", rowId, columnName] = "" userIndex["byValue", value, columnName, rowId] = "" 

 {key:"value"} 

 Document["key"] = "value" 

 var json = { node: { global: "Document", subscripts: [] }, object: { key: "value" } }; db.update(json, 'object'); 

 var json = db.retrieve({global: 'Document'},"object"); console.log("Document = " + JSON.stringify(json.object)); 

 {this:{looks:{very:"cool"}}} 

 Document["this", "looks", "very"] = "cool" 

 var json = { node: { global: "Document", subscripts: [] }, object: { this: { looks: { very: "cool" } } } }; db.update(json, "object"); 

 ["this","is","cool"] 

 document[1] = "this" document[2] = "is" document[3] = "cool" 

 var json = { node: { global: "Document", subscripts: [] }, object: { 1: "this", 2: "is", 3: "cool" } }; db.update(json, "object"); 

 var json = db.retrieve({global: "Document"}, "object"); console.log("Document = " + JSON.stringify(json.object)); Document = {"1":"this", "2":"is", "3":"cool"} 

 { "age": "26", "contact": { "address": { "city": "Boston", "street": "112 Beacon Street" }, "cell": "617-555-1761", "email": "rob@foo.com", "telephone": "617-555-1212" }, "knows": { "1": "George", "2": "John", "3": "Chris" }, "medications": { "1": { "dose": "5mg", "drug": "Zolmitripan" }, "2": { "dose": "500mg", "drug": "Paracetemol" } }, "name": "Rob", "sex": "Male" } 

 person["age"] = 26 person["contact", "address", "city"] = "Boston" person["contact", "address", "street"] = "112 Beacon Street" person["contact", "cell"] = "617-555-1761" person["contact", "eMail"] = "rob@foo.com" person["contact", "telephone"] = "617-555-1212" person["knows", 1] = "George" person["knows", 2] = "John" person["knows", 3] = "Chris" person["medications", 1, "drug"] = "Zolmitripan" person["medications", 1, "dose"] = "5mg" person["medications", 2, "drug"] = "Paracetamol" person["medications", 2, "dose"] = "500mg" person["name"] = "Rob" person["sex"] = "Male" 

 var json = { node: { global: "person", subscripts: [] }, object: { name: "Rob", age: 26, knows: { 1: "George", 2: "John", 3: "Chris" }, medications: { 1: { drug: "Zolmitripan", dose: "5mg" }, 2: { drug: "Paracetemol", dose: "500mg" } }, contact: { email: "rob@foo.com", address: { street: "112 Beacon Street", city: "Boston" }, telephone: "617-555-1212", cell: "617-555-1761" }, sex: "Male" } }; db.update(json, "object"); 

 var json = db.retrieve({global: "person"}, "object").object; 

 person[personId, "knows", personId] = "" person[personId, "knows", personId, key) = value person[personId, "name"] = name 

 person[1, "knows", 2] = "" person[1, "knows", 2, "disclosure"] = "public" person[1, "knows", 2, "timestamp"] = "2008-08-16T12:23:01Z" person[1, "knows", 7] = "" person[1, "name"] = "Rob" person[2, "name"] = "John" person[7, "knows", 2] = "" person[7, "knows", 2, "disclosure"] = "public" person[7, "knows", 2, "timestamp"] = "2009-12-16T10:06:44Z" person[7, "name"] = "George" 

 node[nodeType, nodeId] = "" node[nodeType, nodeId, attribute] = attributeValue edge[edgeType, fromNodeId, toNodeId] = "" edge[edgeType, fromNodeId, toNodeId, attribute] = attributeValue edgeReverse[edgeType, toNodeId, fromNodeId] = "" 

• XML DOM / Native XML डेटाबेस। GlobalsDB लगातार XML DOM फ़ाइलों के साथ काम करने के लिए बहुत अच्छा है। एक्सएमएल दस्तावेज़ अनिवार्य रूप से एक ग्राफ़ है जो विभिन्न प्रकार के नोड्स और उनके बीच संबंधों का प्रतिनिधित्व करता है (जैसे कि फर्स्ट चाइल्ड, लास्ट चाइल्ड, नेक्स्टब्लिंग, पैरेंट, आदि)। संक्षेप में, यह GlobalsDB को मूल XML डेटाबेस के रूप में कार्य करने की अनुमति देता है। Node.js ewdDOM के लिए मॉड्यूल इस तरह के डेटाबेस का एक हल्का कार्यान्वयन है।
• संबंधपरक तालियाँ। कांच के मॉडल ग्लोबल्स पर रिलेशनल टेबल बनाते हैं, ताकि मानक एसक्यूएल प्रश्नों का उपयोग किया जा सके। यानी GlobalsDB को NoSQL इंजन के आधार के रूप में माना जा सकता है, और Caché ने NOSQL (यानी न केवल केवल SQL - न केवल SQL) डेटाबेस की क्षमताओं को जोड़ा है।
• ऑब्जेक्ट डीबी। कैच मॉडल वस्तुओं को विश्व स्तर पर प्रदर्शित करता है और वस्तुओं और संबंधपरक तालिकाओं के बीच एक प्रत्यक्ष मानचित्रण भी प्रदान करता है। अब आप समझ गए होंगे कि यह कैसे लागू किया जाता है।