MongoDB: To create a collection Explicitly by using for loop condition:-

 To create a collection Explicitly by using for loop condition:-

MongoDB Enterprise >  for(var i=1; i<=20; i++) db.users.insert({ "Name" : " Test User" + i, "Age" : 50+i, "Gender" : "F", "Country" : "India"});
WriteResult({ "nInserted" : 1 })
MongoDB Enterprise >

MongoDB Enterprise > db.users.find();

{ "_id" : ObjectId("5b7e476f4b924fa09c9684a2"), "Name" : " Test User1", "Age" : 11, "Gender" : "F", "Country" : "India" }

{ "_id" : ObjectId("5b7e476f4b924fa09c9684a3"), "Name" : " Test User2", "Age" : 12, "Gender" : "F", "Country" : "India" }

{ "_id" : ObjectId("5b7e476f4b924fa09c9684a4"), "Name" : " Test User3", "Age" : 13, "Gender" : "F", "Country" : "India" }

{ "_id" : ObjectId("5b7e476f4b924fa09c9684a5"), "Name" : " Test User4", "Age" : 14, "Gender" : "F", "Country" : "India" }

{ "_id" : ObjectId("5b7e476f4b924fa09c9684a6"), "Name" : " Test User5", "Age" : 15, "Gender" : "F", "Country" : "India" }

{ "_id" : ObjectId("5b7e476f4b924fa09c9684a7"), "Name" : " Test User6", "Age" : 16, "Gender" : "F", "Country" : "India" }

{ "_id" : ObjectId("5b7e476f4b924fa09c9684a8"), "Name" : " Test User7", "Age" : 17, "Gender" : "F", "Country" : "India" }

{ "_id" : ObjectId("5b7e476f4b924fa09c9684a9"), "Name" : " Test User8", "Age" : 18, "Gender" : "F", "Country" : "India" }

{ "_id" : ObjectId("5b7e476f4b924fa09c9684aa"), "Name" : " Test User9", "Age" : 19, "Gender" : "F", "Country" : "India" }

{ "_id" : ObjectId("5b7e476f4b924fa09c9684ab"), "Name" : " Test User10", "Age" : 20, "Gender" : "F", "Country" : "India" }

{ "_id" : ObjectId("5b7e476f4b924fa09c9684ac"), "Name" : " Test User11", "Age" : 21, "Gender" : "F", "Country" : "India" }

{ "_id" : ObjectId("5b7e476f4b924fa09c9684ad"), "Name" : " Test User12", "Age" : 22, "Gender" : "F", "Country" : "India" }

{ "_id" : ObjectId("5b7e476f4b924fa09c9684ae"), "Name" : " Test User13", "Age" : 23, "Gender" : "F", "Country" : "India" }

{ "_id" : ObjectId("5b7e476f4b924fa09c9684af"), "Name" : " Test User14", "Age" : 24, "Gender" : "F", "Country" : "India" }

{ "_id" : ObjectId("5b7e476f4b924fa09c9684b0"), "Name" : " Test User15", "Age" : 25, "Gender" : "F", "Country" : "India" }

{ "_id" : ObjectId("5b7e476f4b924fa09c9684b1"), "Name" : " Test User16", "Age" : 26, "Gender" : "F", "Country" : "India" }

{ "_id" : ObjectId("5b7e476f4b924fa09c9684b2"), "Name" : " Test User17", "Age" : 27, "Gender" : "F", "Country" : "India" }

{ "_id" : ObjectId("5b7e476f4b924fa09c9684b3"), "Name" : " Test User18", "Age" : 28, "Gender" : "F", "Country" : "India" }

{ "_id" : ObjectId("5b7e476f4b924fa09c9684b4"), "Name" : " Test User19", "Age" : 29, "Gender" : "F", "Country" : "India" }

{ "_id" : ObjectId("5b7e476f4b924fa09c9684b5"), "Name" : " Test User20", "Age" : 30, "Gender" : "F", "Country" : "India" }

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MongoDB Enterprise >