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Text Search Operators (Self-Managed Deployments)

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  • Query Framework
  • Aggregation Pipeline


This page describes text query capabilities for self-managed (non-Atlas) deployments. For data hosted on MongoDB Atlas, MongoDB offers an improved full-text query solution, Atlas Search.

Use the $text query operator to perform text searches on a collection with a text index.

$text tokenizes the search string using whitespace and most punctuation as delimiters, and perform a logical OR of all such tokens in the search string.

For example, you could use the following query to find all stores containing any terms from the list "coffee", "shop", and "java" in the stores collection:

db.stores.find( { $text: { $search: "java coffee shop" } } )

Use the $meta query operator to obtain and sort by the relevance score of each matching document. For example, to order a list of coffee shops in order of relevance, run the following:

{ $text: { $search: "coffee shop cake" } },
{ score: { $meta: "textScore" } }
).sort( { score: { $meta: "textScore" } } )

For more information on the $text and $meta operators, including restrictions and behavior, see:

When working with aggregation pipelines, use $match with a $text expression to execute a text search query. To sort the results in order of relevance score, use the $meta aggregation operator in the $sort stage [1].

For more information and examples of $text in Aggregation Operations pipelines, see $text in the Aggregation Pipeline.

For data hosted on MongoDB Atlas, Atlas Search provides the $search aggregation stage to perform full-text search on your collections.

[1] The behavior and requirements of the $meta projection operator differ from that of the $meta aggregation operator. For details on the $meta aggregation operator, see the $meta aggregation operator reference page.




Aggregation Pipeline