To remove the _id element, you can use the following syntax −db.yourCollectionName.find({}, {'_id': false}).pretty();To understand the above syntax, let us create a collection with the document. The query to create a collection with a document is as follows −> db.removingidElementDemo.insertOne({"UserName":"John", ... "UserAge":21}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c9153fd4afe5c1d2279d6ad") } > db.removingidElementDemo.insertOne({"UserName":"Carol", "UserAge":24}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c9154084afe5c1d2279d6ae") } > db.removingidElementDemo.insertOne({"UserName":"David", "UserAge":22}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c9154154afe5c1d2279d6af") } > db.removingidElementDemo.insertOne({"UserName":"Mike", "UserAge":26}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c9154204afe5c1d2279d6b0") } > db.removingidElementDemo.insertOne({"UserName":"Chris", "UserAge":20}); {    "acknowledged" : true,   ... Read More

There is no in-built function to count a number of keys in a document. In order to count a number of keys, you need to write some code.Let us create a collection with a document. The query to create a collection with a document is as follows −> db.numberofKeysInADocumentDemo.insertOne({    "UserName":"John", "UserAge":21, "UserEmailId":"john12@gmail.com", "UserCountryName":"US"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c9132584afe5c1d2279d6ac") }Display all documents from a collection with the help of find() method. The query is as follows −> db.numberofKeysInADocumentDemo.find().pretty();The following is the output −{    "_id" : ObjectId("5c9132584afe5c1d2279d6ac"),    "UserName" : "John",    "UserAge" : 21,   ... Read More

You can use “$regex” operator to implement the equivalent of SQL ‘like’ in MongoDB. To implement it, let us create a collection with a document. The query to create a collection with a document is as follows −> db.sqlLikeDemo.insertOne({"UserName":"John Smith", "UserAge":24}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c912e124afe5c1d2279d6a5") } > db.sqlLikeDemo.insertOne({"UserName":"John Doe", "UserAge":21}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c912e264afe5c1d2279d6a6") } > db.sqlLikeDemo.insertOne({"UserName":"Chris Williams", "UserAge":22}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c912e404afe5c1d2279d6a7") } > db.sqlLikeDemo.insertOne({"UserName":"Robert Taylor", "UserAge":26}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c912e4d4afe5c1d2279d6a8") } > db.sqlLikeDemo.insertOne({"UserName":"John Brown", "UserAge":27}); {    "acknowledged" ... Read More

PyMongo is a Python distribution containing tools for working with MongoDB. Use the following syntax to use a variable for collection name −var yourVariableName="yourCollectionName"; db[storeCollectionName].yourOperationName;To understand the above syntax, let us create a collection with the document. The query to create a collection with a document is as follows. We have used variable for collection name −> var storeCollectionName="new_Collection"; > db[storeCollectionName].insertOne({"UserName":"John", "UserAge":21}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c912aea4afe5c1d2279d6a0") } > db[storeCollectionName].insertOne({"UserName":"Carol", "UserAge":24}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c912af54afe5c1d2279d6a1") } > db[storeCollectionName].insertOne({"UserName":"Mike", "UserAge":27}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c912afe4afe5c1d2279d6a2") }Display ... Read More

To get the database data size in MongoDB, you can use stats() method. The syntax is as follows −db.stats();Let us use the database with the name ‘test’.Now, check the current database with the help of the following query −> db;The following is the output −testHere is the query to get database data size in MongoDB −> db.stats()The following is the output −{    "db" : "test",    "collections" : 114,    "views" : 0,    "objects" : 391,    "avgObjSize" : 83.0076726342711,    "dataSize" : 32456,    "storageSize" : 3211264,    "numExtents" : 0,    "indexes" : 120,    "indexSize" ... Read More

To find a document with Objectid in MongoDB, use the following syntax −db.yourCollectionName.find({"_id":ObjectId("yourObjectIdValue")}).pretty();To understand the above syntax, let us create a collection with the document. The query to create a collection with a document is as follows −> db.findDocumentWithObjectIdDemo.insertOne({"UserName":"Larry"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c90e4384afe5c1d2279d69b") } > db.findDocumentWithObjectIdDemo.insertOne({"UserName":"Mike", "UserAge":23}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c90e4444afe5c1d2279d69c") } > db.findDocumentWithObjectIdDemo.insertOne({"UserName":"Carol", "UserAge":26, "UserHobby":["Learning", "Photography"]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c90e4704afe5c1d2279d69d") }Display all documents from a collection with the help of find() method. The query is as follows −> db.findDocumentWithObjectIdDemo.find().pretty();The following is the output ... Read More

To avoid duplicate entries in MongoDB, you can use createIndex(). The syntax is as follows −db.yourCollectionName.createIndex({"yourFieldName":1}, {unique:true});Let us implement the above syntax. The query to avoid duplicate entries in MongoDB is a follows −> db.avoidDuplicateEntriesDemo.createIndex({"UserName":1}, {unique:true}); {    "createdCollectionAutomatically" : true,    "numIndexesBefore" : 1,    "numIndexesAfter" : 2,    "ok" : 1 }Now insert some records in the above collection. The query to insert record is as follows −> db.avoidDuplicateEntriesDemo.insertOne({"UserName":"John"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c90e1824afe5c1d2279d697") }Here is the error whenever you try to insert the same record once again −> db.avoidDuplicateEntriesDemo.insertOne({"UserName":"John"}); 2019-03-19T18:03:08.465+0530 E QUERY [js] ... Read More

MongoDB is better when you are querying array elements. Let us use the following syntax for querying array elements −db.yourCollectionName.find({yourArrayFieldName:"yourValue"}).pretty();The above syntax will return all those documents which have the value “yourValue” in an array field.To understand the concept, let us create a collection with the document. The query to create a collection with a document is as follows −> db.queryArrayElementsDemo.insertOne({    ... "StudentName":"John", "StudentFavouriteSubject":["C", "Java"]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c90c0354afe5c1d2279d694") } > db.queryArrayElementsDemo.insertOne({ "StudentName":"Carol", "StudentFavouriteSubject":["C", "C++"]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5c90c0434afe5c1d2279d695") } > db.queryArrayElementsDemo.insertOne({ "StudentName":"David", "StudentFavouriteSubject":["MongoDB", "Java"]}); {    "acknowledged" : ... Read More

To know which storage engine is used in MongoDB, you can use storageEngine. The syntax is as follows −db.serverStatus().storageEngine;To know all the configuration details of storage engine, you can use the following syntax:db.serverStatus().yourStorageEngineName;Let us implement the above syntax to know which storage engine is being used in MongoDB. The query is as follows −> db.serverStatus().storageEngine;The following is the output −{    "name" : "wiredTiger",    "supportsCommittedReads" : true,    "supportsSnapshotReadConcern" : true,    "readOnly" : false,    "persistent" : true }In order to know all configuration details about the above storage engine, the query is as follows −> db.serverStatus().wiredTiger;The following ... Read More

To get distinct list of sub-document field values, you can use dot(.). The syntax is as follows −db.yourCollectionName.distinct("yourOuterFieldName.yourInnerFieldName");To understand the concept, let us create a collection with the document. The query to create a collection with a document is as follows −> db.getDistinctListOfSubDocumentFieldDemo.insertOne(    ... {       ... "StudentId": 101,       ... "StudentPersonalDetails": [          ... {             ... "StudentName": "John",             ... "StudentAge":24          ... },          ... {             ... ... Read More