To add MD5 hash value, use hex_md5(). Let us first create a collection with documents −>db.addMd5HashValueDemo.insertOne({"UserName":"Adam", "UserPassword":"Adam123456"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd6a4c66d78f205348bc619") } >db.addMd5HashValueDemo.insertOne({"UserName":"Chris", "UserPassword":"Chris_121#"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd6a4e46d78f205348bc61a") }Following is the query to display all documents from a collection with the help of find() method −> db.addMd5HashValueDemo.find();This will produce the following output −{ "_id" : ObjectId("5cd6a4c66d78f205348bc619"), "UserName" : "Adam", "UserPassword" : "Adam123456" } { "_id" : ObjectId("5cd6a4e46d78f205348bc61a"), "UserName" : "Chris", "UserPassword" : "Chris_121#" }Following is the query to add md5 hash value to mongo collection −> db.addMd5HashValueDemo.find().forEach( function(documentPass){    documentPass.Value ... Read More

To get a list of values, use $group aggregation along with $push operator. Let us first create a collection with documents −> db.groupByDemo.insertOne({"UserName":"John", "Subject":"MongoDB"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd69f0457806ebf1256f136") } > db.groupByDemo.insertOne({"UserName":"Larry", "Subject":"MySQL"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd69f0657806ebf1256f137") } > db.groupByDemo.insertOne({"UserName":"John", "Subject":"Java"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd69f0d57806ebf1256f138") } > db.groupByDemo.insertOne({"UserName":"John", "Subject":"C"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd69f1357806ebf1256f139") } > db.groupByDemo.insertOne({"UserName":"Larry", "Subject":"SQL Server"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd69f1c57806ebf1256f13a") }Following is the query to display all documents from a collection with the help ... Read More

For this, use the $all operator. Let us first create a collection with documents −>db.findDocumentExactlySameInArrayDemo.insertOne({"TechnicalSubjects":["C++", "Java", "MongoDB"]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd69a5f57806ebf1256f12e") } >db.findDocumentExactlySameInArrayDemo.insertOne({"TechnicalSubjects":["MySQL", "Java", "MongoDB"]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd69ac057806ebf1256f12f") } >db.findDocumentExactlySameInArrayDemo.insertOne({"TechnicalSubjects":["C#", "Python", "MongoDB"]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd69ad457806ebf1256f130") } >db.findDocumentExactlySameInArrayDemo.insertOne({"TechnicalSubjects":["MySQL", "C", "MongoDB"]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd69adf57806ebf1256f131") }Following is the query to display all documents from a collection with the help of find() method −> db.findDocumentExactlySameInArrayDemo.find().pretty();This will produce the following output −{    "_id" : ObjectId("5cd69a5f57806ebf1256f12e"),    "TechnicalSubjects" : [     ... Read More

Use $max and $min operator along with aggregate framework to get the maximum and minimum value. Let us first create a collection with documents −> db.maxAndMinDemo.insertOne({"Value":98}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd698a357806ebf1256f129") } > db.maxAndMinDemo.insertOne({"Value":97}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd698af57806ebf1256f12a") } > db.maxAndMinDemo.insertOne({"Value":69}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd698b357806ebf1256f12b") } > db.maxAndMinDemo.insertOne({"Value":96}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd698b657806ebf1256f12c") } > db.maxAndMinDemo.insertOne({"Value":99}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd698b957806ebf1256f12d") }Following is the query to display all documents from a collection with the help of find() method ... Read More

You can use $addToSet operator for this. Let us first create a collection with documents −> db.insertDataIntoArrayDemo.insertOne(    {       "UserDetails":[          {             "UserId" :"user121",             "userGroupMessage":[]          },          {             "UserId" :"user221",             "userGroupMessage":["Cool", "Good Morning"]          }       ]    } ); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd694e157806ebf1256f128") }Following is the query to display all documents from ... Read More

To get MySQL LIKE statement, use the REGEX in MongoDB. Let us first create a collection with documents −> db.likeInMongoDBDemo.insertOne({"Name" : "Sam"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd6922857806ebf1256f123") } > db.likeInMongoDBDemo.insertOne({"Name" : "John" }); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd6923157806ebf1256f124") } > db.likeInMongoDBDemo.insertOne({"Name" : "Scott"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd6924557806ebf1256f125") } > db.likeInMongoDBDemo.insertOne({"Name" : "Sean"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd6924f57806ebf1256f126") } > db.likeInMongoDBDemo.insertOne({"Name" : "Samuel"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd6925857806ebf1256f127") }Following is the query to display all documents from a collection with ... Read More

To merge, use $setUnion operator. Let us first create a collection with documents −> db.mergeTwoArrayFieldDemo.insertOne({"NaturalNumbers":[1,2,3,8,10,20,30],"WholeNumbers":[0,1,2,63,78,20,45]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd68e4057806ebf1256f11d") }Following is the query to display all documents from a collection with the help of find() method −> db.mergeTwoArrayFieldDemo.find().pretty();This will produce the following output −{    "_id" : ObjectId("5cd68e4057806ebf1256f11d"),    "NaturalNumbers" : [       1,       2,       3,       8,       10,       20,       30    ],    "WholeNumbers" : [       0,       1,       2,       63,       78,       20,       45    ] }Following is the query to merge two array field in MongoDB.> db.mergeTwoArrayFieldDemo.aggregate([    { "$project": {       "MergedArray": { "$setUnion": [ "$NaturalNumbers", "$WholeNumbers" ] }    }} ]);This will produce the following output −{ "_id" : ObjectId("5cd68e4057806ebf1256f11d"), "MergedArray" : [ 0, 1, 2, 3, 8, 10, 20, 30, 45, 63, 78 ] }

Let us first create a collection with documents −> db.findByObjectIdDemo.insertOne({"ClientName":"Larry", "ClientAge":23}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd68cd657806ebf1256f11a") } > db.findByObjectIdDemo.insertOne({"ClientName":"Chris", "ClientAge":26}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd68cdc57806ebf1256f11b") } > db.findByObjectIdDemo.insertOne({"ClientName":"David", "ClientAge":38, "isMarried":true}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd68cf657806ebf1256f11c") }Following is the query to display all documents from a collection with the help of find() method −> db.findByObjectIdDemo.find().pretty();This will produce the following output −{    "_id" : ObjectId("5cd68cd657806ebf1256f11a"),    "ClientName" : "Larry",    "ClientAge" : 23 } {    "_id" : ObjectId("5cd68cdc57806ebf1256f11b"),    "ClientName" : "Chris",    "ClientAge" : 26 } { ... Read More

Let’s say you have saved the Login date of users. Now, you want the users who logged in between specific dates i.e. login date. For this, use $gte and $lt operator along with count(). Let us first create a collection with documents −> db.findDataByDateDemo.insertOne({"UserName":"John", "UserLoginDate":new ISODate("2019-01-31")}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cdd8cd7bf3115999ed511ed") } > db.findDataByDateDemo.insertOne({"UserName":"Larry", "UserLoginDate":new ISODate("2019-02-01")}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cdd8ce7bf3115999ed511ee") } > db.findDataByDateDemo.insertOne({"UserName":"Sam", "UserLoginDate":new ISODate("2019-05-02")}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cdd8cf3bf3115999ed511ef") } > db.findDataByDateDemo.insertOne({"UserName":"David", "UserLoginDate":new ISODate("2019-05-16")}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cdd8d00bf3115999ed511f0") } > db.findDataByDateDemo.insertOne({"UserName":"Carol", ... Read More

You can use $group operator with _id: null. Following is the syntax −db.yourCollectionName.aggregate([{$group: {_id:null, "anyFieldName": {$avg:"$yourFieldName"} } }]);Let us first create a collection with documents −> db.caculateTheAverageValueDemo.insertOne({"Population":100}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd68a197924bb85b3f4895f") } > db.caculateTheAverageValueDemo.insertOne({"Population":500}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd68a1c7924bb85b3f48960") } > db.caculateTheAverageValueDemo.insertOne({"Population":200}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd68a237924bb85b3f48961") } > db.caculateTheAverageValueDemo.insertOne({"Population":100}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd68a297924bb85b3f48962") } > db.caculateTheAverageValueDemo.insertOne({"Population":100}); {    "acknowledged" : true,    "insertedId" : ObjectId("5cd68a2e7924bb85b3f48963") }Following is the query to display all documents from a collection with the help of find() ... Read More