Create an index to efficiently run complex queries. Let us first create a collection with documents −
> db.demo400.insertOne({SubjectName:"Java Spring"});
{
"acknowledged" : true,
"insertedId" : ObjectId("5e610720fac4d418a0178572")
}
> db.demo400.insertOne({SubjectName:"Spring Hibernate"});
{
"acknowledged" : true,
"insertedId" : ObjectId("5e61072dfac4d418a0178573")
}
> db.demo400.insertOne({SubjectName:"Java Hibernate"});
{
"acknowledged" : true,
"insertedId" : ObjectId("5e610736fac4d418a0178574")
}
> db.demo400.createIndex({SubjectName:"text"});
{
"createdCollectionAutomatically" : false,
"numIndexesBefore" : 1,
"numIndexesAfter" : 2,
"ok" : 1
}Display all documents from a collection with the help of find() method −
> db.demo400.find();
This will produce the following output −
{ "_id" : ObjectId("5e610720fac4d418a0178572"), "SubjectName" : "Java Spring" }
{ "_id" : ObjectId("5e61072dfac4d418a0178573"), "SubjectName" : "Spring Hibernate" }
{ "_id" : ObjectId("5e610736fac4d418a0178574"), "SubjectName" : "Java Hibernate" }Following is the query to efficiently perform complex queries on unindexed fields −
> db.demo400.find({ $text: { $search: "Spring" } } )This will produce the following output −
{ "_id" : ObjectId("5e61072dfac4d418a0178573"), "SubjectName" : "Spring Hibernate" }
{ "_id" : ObjectId("5e610720fac4d418a0178572"), "SubjectName" : "Java Spring" }