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MongoDB Articles - Page 19 of 135
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For this, use ensureIndex(). Let us create a collection with documents −> db.demo678.ensureIndex({id:1,"details.userId":1}); { "createdCollectionAutomatically" : true, "numIndexesBefore" : 1, "numIndexesAfter" : 2, "ok" : 1 } > db.demo678.insertOne( ... { ... id:101, ... ... "details" : [ ... { ... "userId" : "1001", ... "userName":"Chris" ... }, ... { ... "userId" : "1002", ... "userName":"David" ... } ... ], ... "otherDetails" : [ ... { ... CountryName:"US", ... EmailId:["Chris@gmail.com","David@gmail.com"] ... } ... ] ... } ... ); { "acknowledged" : true, "insertedId" : ObjectId("5ea4276904263e90dac943fc") }Display all documents from a collection with the help of find() method −> db.demo678.find();This will produce the following output −{ "_id" : ObjectId("5ea4276904263e90dac943fc"), "id" : 101, "details" : [ { "userId" : "1001", "userName" : "Chris" }, { "userId" : "1002", "userName" : "David" } ], "otherDetails" : [ { "CountryName" : "US", "EmailId" : [ "Chris@gmail.com", "David@gmail.com" ] } ] }
279 Views
Let us create a collection with documents −> db.demo677.insertOne({Value:10}); { "acknowledged" : true, "insertedId" : ObjectId("5ea421f404263e90dac943f8") } > db.demo677.insertOne({Value:50}); { "acknowledged" : true, "insertedId" : ObjectId("5ea421f704263e90dac943f9") } > db.demo677.insertOne({Value:20}); { "acknowledged" : true, "insertedId" : ObjectId("5ea421fa04263e90dac943fa") } > db.demo677.insertOne({Value:20}); { "acknowledged" : true, "insertedId" : ObjectId("5ea421fe04263e90dac943fb") }Display all documents from a collection with the help of find() method −> db.demo677.find();This will produce the following output −{ "_id" : ObjectId("5ea421f404263e90dac943f8"), "Value" : 10 } { "_id" : ObjectId("5ea421f704263e90dac943f9"), "Value" : 50 } { "_id" : ObjectId("5ea421fa04263e90dac943fa"), "Value" : 20 } { "_id" : ... Read More
206 Views
For group query, use MongoDB $group and get the count with $sum. Let us create a collection with documents −> db.demo676.insertOne({"Marks":87}); { "acknowledged" : true, "insertedId" : ObjectId("5ea41eed04263e90dac943f2") } > db.demo676.insertOne({"Marks":75}); { "acknowledged" : true, "insertedId" : ObjectId("5ea41ef304263e90dac943f3") } > db.demo676.insertOne({"Marks":87}); { "acknowledged" : true, "insertedId" : ObjectId("5ea41ef404263e90dac943f4") } > db.demo676.insertOne({"Marks":65}); { "acknowledged" : true, "insertedId" : ObjectId("5ea41ef704263e90dac943f5") } > db.demo676.insertOne({"Marks":65}); { "acknowledged" : true, "insertedId" : ObjectId("5ea41ef804263e90dac943f6") }Display all documents from a collection with the help of find() method −> db.demo676.find();This will produce the following output −{ "_id" : ... Read More
156 Views
Let us create a collection with documents −> db.demo675.insertOne({ ... "ListOfNames":["John", "Chris", "David"]}); { "acknowledged" : true, "insertedId" : ObjectId("5ea3f5b404263e90dac943ef") } > db.demo675.insertOne({ "ListOfNames":["Bob", "Johnson", "Sam"]}); { "acknowledged" : true, "insertedId" : ObjectId("5ea3f5c804263e90dac943f0") } > db.demo675.insertOne({ "ListOfNames":["Jace", "Sam"]}); { "acknowledged" : true, "insertedId" : ObjectId("5ea3f5d304263e90dac943f1") }Display all documents from a collection with the help of find() method −> db.demo675.find();This will produce the following output −{ "_id" : ObjectId("5ea3f5b404263e90dac943ef"), "ListOfNames" : [ "John", "Chris", "David" ] } { "_id" : ObjectId("5ea3f5c804263e90dac943f0"), "ListOfNames" : [ "Bob", "Johnson", "Sam" ] } { "_id" : ObjectId("5ea3f5d304263e90dac943f1"), "ListOfNames" : ... Read More
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The $or operator performs a logical OR operation on an array of two or more expressions. Let us create a collection with documents −> db.demo674.insertOne({Name:"Chris", Age:21}); { "acknowledged" : true, "insertedId" : ObjectId("5ea3f33604263e90dac943eb") } > db.demo674.insertOne({Name:"David", Age:23}); { "acknowledged" : true, "insertedId" : ObjectId("5ea3f33c04263e90dac943ec") } > db.demo674.insertOne({Name:"Bob", Age:21}); { "acknowledged" : true, "insertedId" : ObjectId("5ea3f34204263e90dac943ed") } > db.demo674.insertOne({Name:"John", Age:24}); { "acknowledged" : true, "insertedId" : ObjectId("5ea3f34804263e90dac943ee") }Display all documents from a collection with the help of find() method −> db.demo674.find();This will produce the following output −{ "_id" : ObjectId("5ea3f33604263e90dac943eb"), "Name" : "Chris", ... Read More
100 Views
Use max field in order to limit the number of documents in the collection. Following is the query to use the max field in the capped collection −> db.createCollection("demo673", { capped : true, size : 100, max :50 } ) { "ok" : 1 }Let us create a collection with documents −> db.demo673.insertOne({Name:"John", Age:23}); { "acknowledged" : true, "insertedId" : ObjectId("5ea3ec7304263e90dac943e8") } > db.demo673.insertOne({Name:"Bob", Age:21}); { "acknowledged" : true, "insertedId" : ObjectId("5ea3ec7804263e90dac943e9") } > db.demo673.insertOne({Name:"David", Age:20}); { "acknowledged" : true, "insertedId" : ObjectId("5ea3ec7f04263e90dac943ea") }Display all documents from a collection with the help of find() ... Read More
228 Views
To fetch a specific document, use dot notation in MongoDB find(). Let us create a collection with documents −> db.demo672.insertOne({Brand:[{CategoryName:"Mobile", "Name":"Oppo"}]}); { "acknowledged" : true, "insertedId" : ObjectId("5ea3ea9b04263e90dac943e5") } > db.demo672.insertOne({Brand:[{CategoryName:"Mobile", "Name":"Samsung"}]}); { "acknowledged" : true, "insertedId" : ObjectId("5ea3eaa404263e90dac943e6") } > db.demo672.insertOne({Brand:[{CategoryName:"Mobile", "Name":"OnePlus"}]}); { "acknowledged" : true, "insertedId" : ObjectId("5ea3eacc04263e90dac943e7") }Display all documents from a collection with the help of find() method −> db.demo672.find();This will produce the following output −{ "_id" : ObjectId("5ea3ea9b04263e90dac943e5"), "Brand" : [ { "CategoryName" : "Mobile", "Name" : "Oppo" } ] } { "_id" : ObjectId("5ea3eaa404263e90dac943e6"), "Brand" : [ { ... Read More
686 Views
To get fields from multiple sub-documents, use MongoDB aggregate with $unwind. Let us create a collection with documents −> db.demo671.insertOne( ... { ... ... "details" : [ ... { ... "id" : "1" ... }, ... { ... CountryName:"US", ... "details1" : [ ... { ... "id" : "1" ... }, ... { ... "id" : "2" ... } ... ] ... ... Read More
852 Views
To access subdocuments in MongoDB, use find() with dot notation. Let us create a collection with documents −> db.demo670.insertOne({ ... id:101, ... "details": ... { ... Name:"Chris", ... Age:21, ... CountryName:"US", ... SubjectName:"MongoDB" ... } ... } ... ); { "acknowledged" : true, "insertedId" : ObjectId("5ea3e31d04263e90dac943de") } > db.demo670.insertOne({ id:102, "details": { Name:"David", Age:22, CountryName:"UK", SubjectName:"MySQL" } } ); { "acknowledged" : true, "insertedId" : ObjectId("5ea3e33604263e90dac943df") }Display all documents from a collection with the help of find() method −> db.demo670.find();This will produce the following output −{ "_id" : ObjectId("5ea3e31d04263e90dac943de"), "id" : 101, "details" : { "Name" ... Read More
173 Views
To get the maximum element from the collection, sort in descending order with limit. Let us create a collection with documents −> > db.demo669.insertOne({"Marks":76}); { "acknowledged" : true, "insertedId" : ObjectId("5ea3133c04263e90dac943d9") } > db.demo669.insertOne({"Marks":55}); { "acknowledged" : true, "insertedId" : ObjectId("5ea3133f04263e90dac943da") } > db.demo669.insertOne({"Marks":89}); { "acknowledged" : true, "insertedId" : ObjectId("5ea3134204263e90dac943db") } > db.demo669.insertOne({"Marks":88}); { "acknowledged" : true, "insertedId" : ObjectId("5ea3134504263e90dac943dc") } > db.demo669.insertOne({"Marks":79}); { "acknowledged" : true, "insertedId" : ObjectId("5ea3134e04263e90dac943dd") }Display all documents from a collection with the help of find() method −> db.demo669.find();This will produce the following output ... Read More