- Elasticsearch Guide: other versions:
- Getting Started
- Set up Elasticsearch
- Installing Elasticsearch
- Configuring Elasticsearch
- Important Elasticsearch configuration
- Important System Configuration
- Bootstrap Checks
- Heap size check
- File descriptor check
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- Stopping Elasticsearch
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- Breaking changes
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- Ingest changes
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- Packaging changes
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- Plugins changes
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- Settings changes
- Stats and info changes
- Breaking changes in 6.1
- Breaking changes in 6.0
- X-Pack Breaking Changes
- API Conventions
- Document APIs
- Search APIs
- Aggregations
- Metrics Aggregations
- Avg Aggregation
- Cardinality Aggregation
- Extended Stats Aggregation
- Geo Bounds Aggregation
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- Max Aggregation
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- Filters Aggregation
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- Reverse nested Aggregation
- Sampler Aggregation
- Significant Terms Aggregation
- Significant Text Aggregation
- Terms Aggregation
- Pipeline Aggregations
- Avg Bucket Aggregation
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- Max Bucket Aggregation
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- Stats Bucket Aggregation
- Extended Stats Bucket Aggregation
- Percentiles Bucket Aggregation
- Moving Average Aggregation
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- Bucket Script Aggregation
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- Serial Differencing Aggregation
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- Caching heavy aggregations
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- Metrics Aggregations
- Indices APIs
- Create Index
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- Analysis
- Anatomy of an analyzer
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- Token Filters
- Standard Token Filter
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- Modules
- Index Modules
- Ingest Node
- Pipeline Definition
- Ingest APIs
- Accessing Data in Pipelines
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- Processors
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- Monitoring Elasticsearch
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- Security APIs
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- Definitions
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- How To
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- Glossary of terms
- Release Notes
- 6.1.4 Release Notes
- 6.1.3 Release Notes
- 6.1.2 Release Notes
- 6.1.1 Release Notes
- 6.1.0 Release Notes
- 6.0.1 Release Notes
- 6.0.0 Release Notes
- 6.0.0-rc2 Release Notes
- 6.0.0-rc1 Release Notes
- 6.0.0-beta2 Release Notes
- 6.0.0-beta1 Release Notes
- 6.0.0-alpha2 Release Notes
- 6.0.0-alpha1 Release Notes
- 6.0.0-alpha1 Release Notes (Changes previously released in 5.x)
- X-Pack Release Notes
WARNING: Version 6.1 of Elasticsearch has passed its EOL date.
This documentation is no longer being maintained and may be removed. If you are running this version, we strongly advise you to upgrade. For the latest information, see the current release documentation.
Nested Query
editNested Query
editNested query allows to query nested objects / docs (see 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:
PUT /my_index { "mappings": { "type1" : { "properties" : { "obj1" : { "type" : "nested" } } } } }
And here is a sample nested query usage:
GET /_search { "query": { "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.