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- [[query-dsl-nested-query]]
- === Nested Query
- Nested query allows to query nested objects / docs (see
- <<nested,nested mapping>>). The
- query is executed against the nested objects / docs as if they were
- indexed as separate docs (they are, internally) and resulting in the
- root parent doc (or parent nested mapping). Here is a sample mapping we
- will work with:
- [source,js]
- --------------------------------------------------
- {
- "type1" : {
- "properties" : {
- "obj1" : {
- "type" : "nested"
- }
- }
- }
- }
- --------------------------------------------------
- And here is a sample nested query usage:
- [source,js]
- --------------------------------------------------
- {
- "nested" : {
- "path" : "obj1",
- "score_mode" : "avg",
- "query" : {
- "bool" : {
- "must" : [
- {
- "match" : {"obj1.name" : "blue"}
- },
- {
- "range" : {"obj1.count" : {"gt" : 5}}
- }
- ]
- }
- }
- }
- }
- --------------------------------------------------
- The query `path` points to the nested object path, and the `query`
- includes the query that will run on the nested docs matching the
- direct path, and joining with the root parent docs. Note that any
- fields referenced inside the query must use the complete path (fully
- qualified).
- The `score_mode` allows to set how inner children matching affects
- scoring of parent. It defaults to `avg`, but can be `sum`, `min`,
- `max` and `none`.
- There is also an `ignore_unmapped` option which, when set to `true` will
- ignore an unmapped `path` and will not match any documents for this query.
- This can be useful when querying multiple indexes which might have different
- mappings. When set to `false` (the default value) the query will throw an
- exception if the `path` is not mapped.
- Multi level nesting is automatically supported, and detected, resulting
- in an inner nested query to automatically match the relevant nesting
- level (and not root) if it exists within another nested query.
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