You can use $push operator for this. Let us first create a collection with documents
>db.twoSeparateArraysDemo.insertOne({"StudentName":"Larry","StudentFirstGameScore":[98],"StudentSecondGameScore":[77]}); { "acknowledged" : true, "insertedId" : ObjectId("5c9b152815e86fd1496b38b8") } >db.twoSeparateArraysDemo.insertOne({"StudentName":"Mike","StudentFirstGameScore":[58],"StudentSecondGameScore":[78]}); { "acknowledged" : true, "insertedId" : ObjectId("5c9b152d15e86fd1496b38b9") } >db.twoSeparateArraysDemo.insertOne({"StudentName":"David","StudentFirstGameScore":[65],"StudentSecondGameScore":[67]}); { "acknowledged" : true, "insertedId" : ObjectId("5c9b153315e86fd1496b38ba") }
Following is the query to display all documents from a collection with the help of find() method
> db.twoSeparateArraysDemo.find().pretty();
This will produce the following output
{ "_id" : ObjectId("5c9b152815e86fd1496b38b8"), "StudentName" : "Larry", "StudentFirstGameScore" : [ 98 ], "StudentSecondGameScore" : [ 77 ] } { "_id" : ObjectId("5c9b152d15e86fd1496b38b9"), "StudentName" : "Mike", "StudentFirstGameScore" : [ 58 ], "StudentSecondGameScore" : [ 78 ] } { "_id" : ObjectId("5c9b153315e86fd1496b38ba"), "StudentName" : "David", "StudentFirstGameScore" : [ 65 ], "StudentSecondGameScore" : [ 67 ] }
Following is the query to push two separate arrays in one update call in MongoDB
> db.twoSeparateArraysDemo.update({_id:ObjectId("5c9b152d15e86fd1496b38b9")}, { $push : { StudentFirstGameScore : 45, StudentSecondGameScore : 99}}); WriteResult({ "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 })
Let us check the value is pushed in two separate arrays or not
> db.twoSeparateArraysDemo.find().pretty();
This will produce the following output
{ "_id" : ObjectId("5c9b152815e86fd1496b38b8"), "StudentName" : "Larry", "StudentFirstGameScore" : [ 98 ], "StudentSecondGameScore" : [ 77 ] } { "_id" : ObjectId("5c9b152d15e86fd1496b38b9"), "StudentName" : "Mike", "StudentFirstGameScore" : [ 58, 45 ], "StudentSecondGameScore" : [ 78, 99 ] } { "_id" : ObjectId("5c9b153315e86fd1496b38ba"), "StudentName" : "David", "StudentFirstGameScore" : [ 65 ], "StudentSecondGameScore" : [ 67 ] }