2013-08-28 19:24:34 -04:00
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[[query-dsl-has-parent-query]]
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2019-07-18 10:18:11 -04:00
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=== Has parent query
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++++
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<titleabbrev>Has parent</titleabbrev>
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++++
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2013-08-28 19:24:34 -04:00
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2019-07-19 10:50:36 -04:00
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Returns child documents whose <<parent-join,joined>> parent document matches a
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provided query. You can create parent-child relationships between documents in
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the same index using a <<parent-join,join>> field mapping.
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[WARNING]
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====
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Because it performs a join, the `has_parent` query is slow compared to other queries.
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Its performance degrades as the number of matching parent documents increases.
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Each `has_parent` query in a search can increase query time significantly.
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====
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[[has-parent-query-ex-request]]
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==== Example request
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[[has-parent-index-setup]]
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===== Index setup
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To use the `has_parent` query, your index must include a <<parent-join,join>>
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field mapping. For example:
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2013-08-28 19:24:34 -04:00
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2019-09-09 12:35:50 -04:00
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[source,console]
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2019-07-19 10:50:36 -04:00
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----
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2020-07-27 15:58:26 -04:00
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PUT /my-index-000001
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{
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"mappings": {
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"properties": {
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"my-join-field": {
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"type": "join",
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"relations": {
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"parent": "child"
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}
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2020-07-21 15:49:58 -04:00
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},
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"tag": {
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"type": "keyword"
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}
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}
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2020-07-21 15:49:58 -04:00
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}
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2013-08-28 19:24:34 -04:00
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}
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2019-07-19 10:50:36 -04:00
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----
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// TESTSETUP
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2013-08-28 19:24:34 -04:00
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2019-07-19 10:50:36 -04:00
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[[has-parent-query-ex-query]]
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===== Example query
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2013-08-28 19:24:34 -04:00
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2019-09-09 12:35:50 -04:00
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[source,console]
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2019-07-19 10:50:36 -04:00
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----
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2020-07-27 15:58:26 -04:00
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GET /my-index-000001/_search
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{
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"query": {
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"has_parent": {
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"parent_type": "parent",
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"query": {
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"term": {
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"tag": {
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"value": "Elasticsearch"
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}
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}
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2020-07-21 15:49:58 -04:00
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}
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2013-08-28 19:24:34 -04:00
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}
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2020-07-21 15:49:58 -04:00
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}
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2013-08-28 19:24:34 -04:00
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}
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2019-07-19 10:50:36 -04:00
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----
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2016-04-14 04:37:18 -04:00
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2019-07-19 10:50:36 -04:00
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[[has-parent-top-level-params]]
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==== Top-level parameters for `has_parent`
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`parent_type`::
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(Required, string) Name of the parent relationship mapped for the
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<<parent-join,join>> field.
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`query`::
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(Required, query object) Query you wish to run on parent documents of the
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`parent_type` field. If a parent document matches the search, the query returns
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its child documents.
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`score`::
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+
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--
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(Optional, boolean) Indicates whether the <<query-filter-context,relevance
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score>> of a matching parent document is aggregated into its child documents.
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Defaults to `false`.
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If `false`, {es} ignores the relevance score of the parent document. {es} also
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assigns each child document a relevance score equal to the `query`'s `boost`,
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which defaults to `1`.
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2016-08-26 04:55:23 -04:00
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2019-07-19 10:50:36 -04:00
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If `true`, the relevance score of the matching parent document is aggregated
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into its child documents' relevance scores.
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--
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2016-08-26 04:55:23 -04:00
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`ignore_unmapped`::
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+
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--
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(Optional, boolean) Indicates whether to ignore an unmapped `parent_type` and
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not return any documents instead of an error. Defaults to `false`.
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2016-08-26 04:55:23 -04:00
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2019-07-19 10:50:36 -04:00
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If `false`, {es} returns an error if the `parent_type` is unmapped.
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You can use this parameter to query multiple indices that may not contain the
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`parent_type`.
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--
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[[has-parent-query-notes]]
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==== Notes
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[[has-parent-query-performance]]
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===== Sorting
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You cannot sort the results of a `has_parent` query using standard
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2020-07-23 13:44:47 -04:00
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<<sort-search-results,sort options>>.
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2019-07-19 10:50:36 -04:00
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If you need to sort returned documents by a field in their parent documents, use
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a `function_score` query and sort by `_score`. For example, the following query
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sorts returned documents by the `view_count` field of their parent documents.
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2016-08-26 04:55:23 -04:00
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2019-09-09 12:35:50 -04:00
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[source,console]
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2019-07-19 10:50:36 -04:00
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----
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2016-08-26 04:55:23 -04:00
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GET /_search
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{
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2020-07-21 15:49:58 -04:00
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"query": {
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"has_parent": {
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"parent_type": "parent",
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"score": true,
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"query": {
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"function_score": {
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"script_score": {
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"script": "_score * doc['view_count'].value"
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}
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2016-08-26 04:55:23 -04:00
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}
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2020-07-21 15:49:58 -04:00
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}
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2016-08-26 04:55:23 -04:00
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}
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2020-07-21 15:49:58 -04:00
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}
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2016-08-26 04:55:23 -04:00
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}
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2019-07-19 10:50:36 -04:00
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----
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