- 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
- Memory lock check
- Maximum number of threads check
- Maximum size virtual memory check
- Max file size check
- Maximum map count check
- Client JVM check
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- Stopping Elasticsearch
- Upgrade Elasticsearch
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- Breaking changes
- Breaking changes in 6.0
- Aggregations changes
- Analysis changes
- Cat API changes
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- Cluster changes
- Document API changes
- Indices changes
- Ingest changes
- Java API changes
- Mapping changes
- Packaging changes
- Percolator changes
- Plugins changes
- Reindex changes
- REST changes
- Scripting changes
- Search and Query DSL changes
- 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
- Geo Centroid Aggregation
- Max Aggregation
- Min Aggregation
- Percentiles Aggregation
- Percentile Ranks Aggregation
- Scripted Metric Aggregation
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- Sum Aggregation
- Top Hits Aggregation
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- Bucket Aggregations
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- Children Aggregation
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- Date Histogram Aggregation
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- Diversified Sampler Aggregation
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- Filters Aggregation
- Geo Distance Aggregation
- GeoHash grid Aggregation
- Global Aggregation
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- IP Range Aggregation
- Missing Aggregation
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- Range Aggregation
- Reverse nested Aggregation
- Sampler Aggregation
- Significant Terms Aggregation
- Significant Text Aggregation
- Terms Aggregation
- Pipeline Aggregations
- Avg Bucket Aggregation
- Derivative Aggregation
- Max Bucket Aggregation
- Min Bucket Aggregation
- Sum Bucket Aggregation
- Stats Bucket Aggregation
- Extended Stats Bucket Aggregation
- Percentiles Bucket Aggregation
- Moving Average Aggregation
- Cumulative Sum Aggregation
- Bucket Script Aggregation
- Bucket Selector Aggregation
- Bucket Sort Aggregation
- Serial Differencing Aggregation
- Matrix Aggregations
- Caching heavy aggregations
- Returning only aggregation results
- Aggregation Metadata
- Returning the type of the aggregation
- Metrics Aggregations
- Indices APIs
- Create Index
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- Indices Exists
- Open / Close Index API
- Shrink Index
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- Rollover Index
- Put Mapping
- Get Mapping
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- Types Exists
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- Analyze
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- cat APIs
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- Query DSL
- Mapping
- Analysis
- Anatomy of an analyzer
- Testing analyzers
- Analyzers
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- Tokenizers
- Token Filters
- Standard Token Filter
- ASCII Folding Token Filter
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- Length Token Filter
- Lowercase Token Filter
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- NGram Token Filter
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- Compound Word Token Filters
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- Unique Token Filter
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- Pattern Replace Token Filter
- Trim Token Filter
- Limit Token Count Token Filter
- Hunspell Token Filter
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- Normalization Token Filter
- CJK Width Token Filter
- CJK Bigram Token Filter
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- Keep Words Token Filter
- Keep Types Token Filter
- Classic Token Filter
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- Minhash Token Filter
- Character Filters
- Modules
- Index Modules
- Ingest Node
- Pipeline Definition
- Ingest APIs
- Accessing Data in Pipelines
- Handling Failures in Pipelines
- Processors
- Append Processor
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- Monitoring Elasticsearch
- X-Pack APIs
- Info API
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- Machine Learning APIs
- Close Jobs
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- Security APIs
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- Deprecation Info APIs
- Definitions
- X-Pack Commands
- How To
- Testing
- 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.
GeoShape Query
editGeoShape Query
editFilter documents indexed using the geo_shape
type.
Requires the geo_shape
Mapping.
The geo_shape
query uses the same grid square representation as the
geo_shape
mapping to find documents that have a shape that intersects
with the query shape. It will also use the same PrefixTree configuration
as defined for the field mapping.
The query supports two ways of defining the query shape, either by providing a whole shape definition, or by referencing the name of a shape pre-indexed in another index. Both formats are defined below with examples.
Inline Shape Definition
editSimilar to the geo_shape
type, the geo_shape
query uses
GeoJSON to represent shapes.
Given the following index:
PUT /example { "mappings": { "doc": { "properties": { "location": { "type": "geo_shape" } } } } } POST /example/doc?refresh { "name": "Wind & Wetter, Berlin, Germany", "location": { "type": "point", "coordinates": [13.400544, 52.530286] } }
The following query will find the point using the Elasticsearch’s
envelope
GeoJSON extension:
GET /example/_search { "query":{ "bool": { "must": { "match_all": {} }, "filter": { "geo_shape": { "location": { "shape": { "type": "envelope", "coordinates" : [[13.0, 53.0], [14.0, 52.0]] }, "relation": "within" } } } } } }
Pre-Indexed Shape
editThe Query also supports using a shape which has already been indexed in another index and/or index type. This is particularly useful for when you have a pre-defined list of shapes which are useful to your application and you want to reference this using a logical name (for example New Zealand) rather than having to provide their coordinates each time. In this situation it is only necessary to provide:
-
id
- The ID of the document that containing the pre-indexed shape. -
index
- Name of the index where the pre-indexed shape is. Defaults to shapes. -
type
- Index type where the pre-indexed shape is. -
path
- The field specified as path containing the pre-indexed shape. Defaults to shape.
The following is an example of using the Filter with a pre-indexed shape:
PUT /shapes { "mappings": { "doc": { "properties": { "location": { "type": "geo_shape" } } } } } PUT /shapes/doc/deu { "location": { "type": "envelope", "coordinates" : [[13.0, 53.0], [14.0, 52.0]] } } GET /example/_search { "query": { "bool": { "filter": { "geo_shape": { "location": { "indexed_shape": { "index": "shapes", "type": "doc", "id": "deu", "path": "location" } } } } } } }
Spatial Relations
editThe geo_shape strategy mapping parameter determines which spatial relation operators may be used at search time.
The following is a complete list of spatial relation operators available:
-
INTERSECTS
- (default) Return all documents whosegeo_shape
field intersects the query geometry. -
DISJOINT
- Return all documents whosegeo_shape
field has nothing in common with the query geometry. -
WITHIN
- Return all documents whosegeo_shape
field is within the query geometry. -
CONTAINS
- Return all documents whosegeo_shape
field contains the query geometry.
Ignore Unmapped
editWhen set to true
the ignore_unmapped
option will ignore an unmapped field
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 field
is not mapped.