How do I index “or” in MongoDB for indexing multiple fields?

MongoDBDatabaseBig Data Analytics

To index multiple fields, use ensureIndex() for a combination. With ensureIndex(), we can create an index and even pass multiple fields. Let us create a collection with documents −

> db.demo53.ensureIndex({"StudentFirstName":1,"StudentAge":1});
{
   "createdCollectionAutomatically" : true,
   "numIndexesBefore" : 1,
   "numIndexesAfter" : 2,
   "ok" : 1
}
> db.demo53.ensureIndex({"StudentFirstName":1,"StudentCountryName":1});
{
   "createdCollectionAutomatically" : false,
   "numIndexesBefore" : 2,
   "numIndexesAfter" : 3,
   "ok" : 1
}
>db.demo53.insertOne({"StudentFirstName":"Chris","StudentAge":21,"StudentCountryName":"US"});
{
   "acknowledged" : true,
   "insertedId" : ObjectId("5e271431cfb11e5c34d89911")
}
>db.demo53.insertOne({"StudentFirstName":"David","StudentAge":23,"StudentCountryName":"UK"});
{
   "acknowledged" : true,
   "insertedId" : ObjectId("5e27143ccfb11e5c34d89912")
}
>db.demo53.insertOne({"StudentFirstName":"Mike","StudentAge":24,"StudentCountryName":"AUS"});
{
   "acknowledged" : true,
   "insertedId" : ObjectId("5e27144bcfb11e5c34d89913")
}

Display all documents from a collection with the help of find() method −

> db.demo53.find();

This will produce the following output −

{ "_id" : ObjectId("5e271431cfb11e5c34d89911"), "StudentFirstName" : "Chris", "StudentAge" : 21, "StudentCountryName" : "US" }
{ "_id" : ObjectId("5e27143ccfb11e5c34d89912"), "StudentFirstName" : "David", "StudentAge" : 23, "StudentCountryName" : "UK" }
{ "_id" : ObjectId("5e27144bcfb11e5c34d89913"), "StudentFirstName" : "Mike", "StudentAge" : 24, "StudentCountryName" : "AUS" }
raja
Published on 03-Apr-2020 16:02:39
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