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$searchMeta

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  • Syntax
  • Fields
  • Behavior
  • Metadata Result Types
  • Example
  • Troubleshooting
$searchMeta

The $searchMeta stage returns different types of metadata result documents.

Note

To run $searchMeta queries over sharded collections, your cluster must run MongoDB v6.0 or later.

A $searchMeta pipeline stage has the following prototype form:

{
$searchMeta: {
"index": "<index-name>",
"<collector-name>"|"<operator-name>": {
<collector-specification>|<operator-specification>
},
"count": {
<count-options>
}
}
}

The $searchMeta stage takes a document with the following fields:

Field
Type
Necessity
Description
<collector-name>
object
Conditional
Name of the collector to use with the query. You can provide a document that contains the collector-specific options as the value for this field. Value must be facet to retrieve a mapping of the defined facet names to an array of buckets for that facet. To learn more, see facet. You must specify this or <operator-name>.
count
object
Optional
Document that specifies the count options for retrieving a count of the results. To learn more, see Count Atlas Search Results.
index
string
Optional

Name of the Atlas Search index to use. If omitted, defaults to default.

Atlas Search doesn't return results if you misspell the index name or if the specified index doesn't already exist on the cluster.

<operator-name>
object
Conditional
Name of the operator to search with. You can provide a document that contains the operator-specific options as the value for this field. You must specify this or <collector-name>. $searchMeta returns the default count metadata only.

The $searchMeta stage must be the first stage in any pipeline.

The structure of the metadata results document that is returned by the $searchMeta stage varies based on the type of results. Atlas Search supports the following result types:

Type
Result Structure
count
The count result included in the results indicate whether the count returned in the results is a total count of the search results, or a lower bound. To learn more, see Count Results.
facet
The result to a facet query is a mapping of the defined facet names to an array of buckets for that facet. To learn more, see Facet Results.

Suppose the following index on the sample_mflix.movies collection.

{
"mappings": {
"dynamic": false,
"fields": {
"year": {
"type": "number"
}
}
}
}

The following query searches for the number of movies released in 1998 using the $searchMeta stage.

db.movies.aggregate([
{
"$searchMeta": {
"range": {
"path": "year",
"gte": 1998,
"lt": 1999
},
"count": {
"type": "total"
}
}
}
])
[ { count: { total: Long("552") } } ]

If you are experiencing issues with your Atlas Search $search queries, see Troubleshoot Atlas Search Errors.

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