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db.collection.createSearchIndex()

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Definition

Syntax
Command Fields
Search Index Definition Syntax
Behavior
Access Control
Examples
Create a Search Index on All Fields
Create a Search Index with a Language Analyzer
Create a Search Index with the Default Name

Definition

db.collection.createSearchIndex()

New in version 7.0: (Also available starting in 6.0.7)

Creates an Atlas Search index on a specified collection.

Important

This command can only be run on a deployment hosted on MongoDB Atlas, and requires an Atlas cluster tier of at least M10.

Important

mongosh Method

This page documents a mongosh method. This is not the documentation for database commands or language-specific drivers, such as Node.js.

For the database command, see the createSearchIndexes command.

For MongoDB API drivers, refer to the language-specific MongoDB driver documentation.

For the legacy mongo shell documentation, refer to the documentation for the corresponding MongoDB Server release:

mongo shell v4.4

Syntax

Command syntax:

db.<collection>.createSearchIndex(
   <name>,
   {
      <definition>
   }
)

Command Fields

createSearchIndex() takes these fields:

Field	Type	Necessity	Description
`name`	string	Optional	Name of the search index to create. You cannot create multiple indexes with the same name on a single collection. If you do not specify a `name`, the index is named `default`.
`definition`	document	Required	Document describing the index to create. For details on `definition` syntax, see Search Index Definition Syntax.

Search Index Definition Syntax

The search index definition takes the following fields:

{
   analyzer: "<analyzer-for-index>",
   searchAnalyzer: "<analyzer-for-query>",
   mappings: {
      dynamic: <boolean>,
      fields: { <field-definition> }
   },
   analyzers: [ <custom-analyzer> ],
   storedSource: <boolean> | {
      <stored-source-definition>
   },
   synonyms: [ {
      name: "<synonym-mapping-name>",
      source: {
         collection: "<source-collection-name>"
      },
      analyzer: "<synonym-mapping-analyzer>"
   } ]
}

Field	Type	Necessity	Description
`analyzer`	string	Optional	Specifies the analyzer to apply to string fields when indexing. If you omit this field, the index uses the standard analyzer.
`searchAnalyzer`	string	Optional	Specifies the analyzer to apply to query text before the text is searched. If you omit this field, the index uses the same analyzer specified in the `analyzer` field. If you omit both the `searchAnalyzer` and the `analyzer` fields, the index uses the standard analyzer.
`mappings`	object	Optional	Specifies how to index fields on different paths for this index.
`mappings.dynamic`	boolean	Optional	Enables or disables dynamic field mapping for this index. If set to `true`, the index contains all fields containing supported data types. If set to `false`, you must specify individual fields to index using `mappings.fields`. If omitted, defaults to `false`.
`mappings.fields`	document	Conditional	Required only if dynamic mapping is disabled. Specifies the fields to index. To learn more, see Define Field Mappings.
`analyzers`	array	Optional	Specifies the Custom Analyzers to use in this index.
`storedSource`	boolean or Stored Source Definition	Optional	Specifies document fields to store for queries performed using the returnedStoredSource option. You can store fields of all Data Types on Atlas Search. The `storedSource` value can be one of these: `true`, to store all fields `false`, to not store any fields An object that specifies the fields to `include` or `exclude` from storage If omitted, defaults to `false`. To learn more, see Define Stored Source Fields in Your Atlas Search Index.
`synonyms`	array of Synonym Mapping Definitions	Optional	Specifies synonym mappings to use in your index. Configuring synonyms allows you to you index and search for words that have the same or a similar meaning. To learn more, see Define Synonym Mappings in Your Atlas Search Index.

Behavior

createSearchIndex() triggers an index build. There may be a delay between when you receive a response from the command and when the index is ready.

To see the status of your search indexes, use the $listSearchIndexes aggregation stage.

Access Control

If your deployment enforces access control, the user running createSearchIndex() must have the createSearchIndexes privilege action on the database or collection:

{
   resource: {
      db : <database>,
      collection: <collection>
   },
   actions: [ "createSearchIndexes" ]
}

The built-in readWrite role provides the createSearchIndexes privilege. The following example grants accountUser01 the readWrite role on the products database:

db.grantRolesToUser(
   "accountUser01",
   [ { role: "readWrite", db: "products" } ]
)

Examples

Create a Search Index on All Fields

The following example creates a search index named searchIndex01 on the movies collection:

db.movies.createSearchIndex(
   "searchIndex01",
   { mappings: { dynamic: true } }
)

The index definition specifies mappings: { dynamic: true }, which means that the index contains all fields in the collection that have supported data types.

Create a Search Index with a Language Analyzer

A language analyzer introduces stop-words, which are words that are not significant enough to be indexed.

The following example creates a search index named frenchIndex01 on the cars collection, and specifies the lucene.french analyzer on the fr field:

db.cars.createSearchIndex(
   "frenchIndex01",
   {
      mappings: {
         fields: {
            subject: {
               fields: {
                  fr: {
                     analyzer: "lucene.french",
                     type: "string"
                  }
               },
               type: "document"
            }
         }
      }
   }
)

To learn more about language analyzers, see Language Analyzers.

Create a Search Index with the Default Name

The following createSearchIndex() method only specifies the index definition and omits the index name. The command creates a search index with the name default on the food collection:

db.food.createSearchIndex(
   {
      mappings: {
         fields: {
            title: {
               type: "string"
            }
         }
      }
   }
)

← Atlas Search Index Methods

db.collection.dropSearchIndex() →