Indexes support the efficient execution of queries in MongoDB. To
create an index on a field or fields, pass an index specification
document to the MongoCollection.createIndex() method.
The Scala driver provides the Indexes Builder Class class that includes static factory methods to create index specification documents for the various MongoDB index key types. To learn more about index types, see Indexes in the Server manual.
Note
MongoDB only creates an index if an index of the same specification does not already exist.
Prerequisites
You must include the following import statements in your program to run the code examples in this guide:
import org.mongodb.scala._ import org.mongodb.Indexes import org.mongodb.IndexOptions import org.mongodb.Filters 
Note
This guide uses the Observable implicits as covered in the
Quick Start Primer.
Connect to a MongoDB Deployment
First, connect to a MongoDB deployment, then declare and define
MongoDatabase and MongoCollection instances.
The following code connects to a standalone
MongoDB deployment running on localhost on port 27017. Then, it
defines the database variable to refer to the test database and
the collection variable to refer to the restaurants collection:
val mongoClient: MongoClient = MongoClient() val database: MongoDatabase = mongoClient.getDatabase("test") val collection: MongoCollection[Document] = database.getCollection("restaurants") 
To learn more about connecting to MongoDB deployments, see the Connect to MongoDB tutorial.
Ascending Index
To create a specification for an ascending index, use the
Indexes.ascending() static helper method.
Single Ascending Index
The following example creates an ascending index on the name field:
collection.createIndex(Indexes.ascending("name"))           .printResults() 
Compound Ascending Index
The following example creates an ascending compound index on the
stars field and the name field:
collection.createIndex(Indexes.ascending("stars", "name"))           .printResults() 
To view an alternative way to create a compound index, see the Compound Indexes section.
Descending Index
To create a specification of a descending index, use the
Indexes.descending() static helper method.
Single Descending Key Index
The following example creates a descending index on the stars field:
collection.createIndex(Indexes.descending("stars"))           .printResults() 
Compound Descending Key Index
The following example creates a descending compound index on the
stars field and the name field:
collection.createIndex(Indexes.descending("stars", "name"))           .printResults() 
To view an alternative way to create a compound index, see the Compound Indexes section.
Compound Indexes
To create a specification for a compound index, use the
Indexes.compoundIndex() static helper method.
Note
To create a specification for a compound index where all the keys are
ascending, you can use the ascending() method. To create a
specification for a compound index where all the keys are descending,
you can use the descending() method.
The following example creates a compound index on the stars field
in descending order and the name field in ascending order:
collection.createIndex(               Indexes.compoundIndex(Indexes.descending("stars"),                                     Indexes.ascending("name")))           .printResults() 
Text Indexes
MongoDB provides text indexes to support text search of string
content. Text indexes can include any field whose value is a string or
an array of string elements. To create a specification for a text
index, use the Indexes.text() helper method.
The following example creates a text index on the name field:
collection.createIndex(Indexes.text("name"))           .printResults() 
To learn more about text indexes, see Text Indexes in the Server manual.
Hashed Index
To create a specification for a hashed index index, use the
Indexes.hashed() static helper method.
The following example creates a hashed index on the _id field:
collection.createIndex(Indexes.hashed("_id"))           .printResults() 
To learn more about hashed indexes, see Hashed Indexes in the Server manual.
Geospatial Indexes
To support geospatial queries, MongoDB supports various geospatial indexes. To learn more about geospatial indexes, see Geospatial Indexes in the Server manual.
2dsphere
To create a specification for a 2dsphere index, use the
Indexes.geo2dsphere() static helper method.
The following example creates a 2dsphere index on the
contact.location field:
collection.createIndex(Indexes.geo2dsphere("contact.location"))           .printResults() 
IndexOptions
In addition to the index specification document, the
createIndex() method can take an index options document that
directs the driver to create unique indexes or partial indexes.
The driver provides the IndexOptions class to specify various
index options.
Add the following import statement to your code to create an
IndexOptions instance.
import org.mongodb.scala.model.IndexOptions 
Unique Index
The following code specifies the unique(true) option to create a
unique index on the name and stars fields:
val indexOptions = IndexOptions().unique(true) collection.createIndex(Indexes.ascending("name", "stars"), indexOptions)           .printResults() 
To learn more about unique indexes, see Unique Indexes in the Server manual.
Partial Index
To create a partial index, include the partialFilterExpression index
option.
The following example creates a partial index on documents in which the
value of the status field is "A".
val partialFilterIndexOptions = IndexOptions()              .partialFilterExpression(Filters.exists("contact.email")) collection.createIndex(                 Indexes.descending("name", "stars"), partialFilterIndexOptions)           .printResults() 
To learn more about partial indexes, see Partial Indexes in the Server manual.
Get a List of Indexes on a Collection
Use the listIndexes() method to get a list of indexes. The following code
lists the indexes on the collection:
collection.listIndexes().printResults() 
To learn about other index options, see Index Properties in the Server manual.