73 lines
2.2 KiB
Plaintext
73 lines
2.2 KiB
Plaintext
[[query-dsl-nested-query]]
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=== Nested Query
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Nested query allows to query nested objects / docs (see
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<<nested,nested mapping>>). The
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query is executed against the nested objects / docs as if they were
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indexed as separate docs (they are, internally) and resulting in the
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root parent doc (or parent nested mapping). Here is a sample mapping we
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will work with:
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[source,js]
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--------------------------------------------------
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PUT /my_index
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{
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"mappings": {
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"_doc" : {
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"properties" : {
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"obj1" : {
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"type" : "nested"
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}
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}
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}
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}
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}
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--------------------------------------------------
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// CONSOLE
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// TESTSETUP
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And here is a sample nested query usage:
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[source,js]
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--------------------------------------------------
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GET /_search
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{
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"query": {
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"nested" : {
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"path" : "obj1",
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"score_mode" : "avg",
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"query" : {
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"bool" : {
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"must" : [
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{ "match" : {"obj1.name" : "blue"} },
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{ "range" : {"obj1.count" : {"gt" : 5}} }
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]
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}
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}
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}
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}
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}
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--------------------------------------------------
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// CONSOLE
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The query `path` points to the nested object path, and the `query`
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includes the query that will run on the nested docs matching the
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direct path, and joining with the root parent docs. Note that any
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fields referenced inside the query must use the complete path (fully
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qualified).
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The `score_mode` allows to set how inner children matching affects
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scoring of parent. It defaults to `avg`, but can be `sum`, `min`,
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`max` and `none`.
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There is also an `ignore_unmapped` option which, when set to `true` will
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ignore an unmapped `path` and will not match any documents for this query.
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This can be useful when querying multiple indexes which might have different
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mappings. When set to `false` (the default value) the query will throw an
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exception if the `path` is not mapped.
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Multi level nesting is automatically supported, and detected, resulting
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in an inner nested query to automatically match the relevant nesting
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level (and not root) if it exists within another nested query.
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