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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
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
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
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
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
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
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
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
Use $all for array match. The $all operator selects the documents where the value of a field is an array that contains all the specified elements. Let us create a collection with documents −> db.demo668.createIndex({"ListOfSubject":1}); { "createdCollectionAutomatically" : true, "numIndexesBefore" : 1, "numIndexesAfter" : 2, "ok" : 1 } > db.demo668.insert({"ListOfSubject":["MySQL", "Java", "C"]}); WriteResult({ "nInserted" : 1 }) > db.demo668.insert({"ListOfSubject":["MongoDB", "Python", "C++"]}); WriteResult({ "nInserted" : 1 }) > db.demo668.insert({"ListOfSubject":["C#", "Spring", "Hibernate", "MongoDB"]}); WriteResult({ "nInserted" : 1 })Display all documents from a collection with the help of find() method −> db.demo668.find();This will produce the following output −{ ... Read More
The ObjectId does not accept the seed string. You need to use _id − StringValue. Let us create a collection with documents −> db.demo667.insertOne({_id:"Chris"}); { "acknowledged" : true, "insertedId" : "Chris" } > db.demo667.insertOne({_id:"David"}); { "acknowledged" : true, "insertedId" : "David" } > db.demo667.insertOne({_id:"Chris"}); 2020-04-23T22:01:23.268+0530 E QUERY [js] WriteError: E11000 duplicate key error collection: test.demo667 index: _id_ dup key: { : "Chris" } : WriteError({ "index" : 0, "code" : 11000, "errmsg" : "E11000 duplicate key error collection: test.demo667 index: _id_ dup key: { : \"Chris\" }", "op" : { "_id" : ... Read More