To aggregate nested documents in MongoDB, you can use $group. Let us first create a collection with documents −> db.aggregateDemo.insertOne( ...    { ...       "ProductInformation": [ ...          { ...             "Product1": [ ...           ... Read More

To update, just save new ID and remove the old one using remove(). Let us first create a collection with documents −> db.updatingDemo.insertOne({"StudentName":"Robert"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e04dae5150ee0e76c06a04b") } > db.updatingDemo.insertOne({"StudentName":"Bob"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e04dae7150ee0e76c06a04c") }Following is the query to display ... Read More

To add a column, you need to update the collection. The syntax is as follows −db.getCollection(yourCollectionName).update({}, {$set: {"yourColumnName": "yourValue"}}, false, true);To understand the above syntax, let us create a collection with documents −> db.addColumnDemo.insertOne({"StudentId":101, "StudentName":"Chris"}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e04d66af5e889d7a519950f") } > db.addColumnDemo.insertOne({"StudentId":102, "StudentName":"Robert"}); {   ... Read More

To check for a specific value, use $in. Let us first create a collection with documents −> db.testInArray.insertOne({"ListOfNumbers":[10, 56, 78, 90, 32]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e04d42df5e889d7a519950d") } > db.testInArray.insertOne({"ListOfNumbers":[56, 78, 91, 100]}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e04d588f5e889d7a519950e") }Following is the query ... Read More

For this, simply use find(). For a different format, use pretty(). Let us first create a collection with documents −> db.getSpecificData.insertOne( ... { ...    "StudentName": "John", ...    "Information": { ...       "FatherName": "Chris", ...       "Place": { ...          "CountryName": "US", ... Read More

To copy rows into another collection, use MongoDB. The syntax is as follows wherein “yourOldCollectionName” is the old collection, whereas where this collection will get copied is our new collection i.e. “yourNewCollectionName” −db.yourOldCollectionName.aggregate([{ $sample: { size: 333333 }}, {$out: "yourNewCollectionName"} ], {allowDiskUse: true});Let us first create a collection with documents ... Read More

In this case, use the concept of index on a particular field. Let us first create a collection with documents. Here, we have created index as well using createIndex() −> db.decreasetimeusingindex.createIndex({"StudentName":1}); {    "createdCollectionAutomatically" : true,    "numIndexesBefore" : 1,    "numIndexesAfter" : 2,    "ok" : 1 } > ... Read More

Extract a particular element from a nested array with the help of dot(.) notation. Let us first create a collection with documents −> db.extractParticularElementDemo.insertOne( ...    { ...       "_id" : 101, ...       "StudentName" : "John", ...       "StudentInformation" : [ ...   ... Read More

Use MongoDB $literal to set a string literal. Let us first create a collection with documents −>db.replacevaluedemo.insertOne({"StudentName":"Chris", "StudentFavouriteSubject":{"TeacherName":"Bob", "SubjectCode":"MySQL111"}}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e0390a3f5e889d7a51994fd") } >db.replacevaluedemo.insertOne({"StudentName":"Mike", "StudentFavouriteSubject":{"TeacherName":"David", "SubjectCode":"3221Java"}}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e0390b8f5e889d7a51994fe") }Following is the query to display all documents from ... Read More

Use aggregation $gte and $lte along with $sum to count and sum a field between 2 dates. Let us first create a collection with documents −> db.countandsumdemo.insertOne({"Value":10, "created_at":ISODate('2019-10-11')}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e038e6df5e889d7a51994fa") } > db.countandsumdemo.insertOne({"Value":50, "created_at":ISODate('2019-01-31')}); {    "acknowledged" : true,    "insertedId" : ObjectId("5e038e77f5e889d7a51994fb") ... Read More