embeddedDocument
Note
The Atlas Search embeddedDocuments index option,
embeddedDocument operator, and embedded
scoring option are in preview. When an Atlas Search index on a replica set or
single MongoDB shard reaches Lucene's two billion document limit,
Atlas Search doesn't index new documents or apply updates to existing
documents for that index. A solution to accommodate this limitation will
be in place when this feature is generally available. To troubleshoot any
issues related to using this feature, contact Support.
Definition
embeddedDocumentThe
embeddedDocumentoperator is similar to $elemMatch operator. It constrains multiple query predicates to be satisfied from a single element of an array of embedded documents.embeddedDocumentcan be used only for queries over fields of type embeddedDocuments.
Syntax
embeddedDocument has the following syntax:
{ "embeddedDocument": { "path": "<path-to-field>", "operator": { <operator-specification> }, "score": { <score-options> } } }
Options
embeddedDocument uses the following options to construct a query:
Field | Type | Description | Necessity |
|---|---|---|---|
operator | object | Operator to use to query each document in the array of documents
that you specify in the path. The moreLikeThis
operator is not supported. | Required |
path | string | Indexed embeddedDocuments type field to
search. The specified field must be a parent for all operators
and fields specified using the operator option. See
Path Construction for more information. | Required |
score | object | Score to assign to matching search results. You can use the
embedded scoring option to configure scoring
options. If you omit this option or use another scoring option,
embeddedDocument operator uses the default aggregation
strategy, sum, for combining scores of embedded document
matches. To learn more, see Customize and Normalize the Score in Results. | Optional |
Behavior
When you query embedded documents in arrays using the
embeddedDocument operator, Atlas Search evaluates and scores the operator
query predicates at different stages of query execution. Atlas Search:
Evaluates each embedded document in the array independently.
Combines the scores of matching results as configured using the
embeddedoption, or scores by summing the scores of matching results if you don't specify anembeddedscore option.Joins the matching results with the parent document if other query predicates are specified through the compound operator.
Note
For string faceting, Atlas Search counts string facets once for each document in the result set. For an example of this behavior, see Examples.
Limitations
You can't highlight on queries inside the
embeddedDocument operator.
Examples
The following examples use the sample_supplies.sales collection
in the sample dataset. These
examples use the following index definition on the collection:
{ "mappings": { "dynamic": true, "fields": { "items": { "dynamic": true, "type": "embeddedDocuments" }, "purchaseMethod": { "type": "stringFacet" } } } }