- Elasticsearch Guide: other versions:
- Getting Started
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- Breaking changes in 2.3
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path.data
striping - Mapping changes
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cat
changes - Java API changes
- API Conventions
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- Aggregations
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- Avg Aggregation
- Cardinality Aggregation
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- Geo Bounds Aggregation
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analyzer
boost
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doc_values
dynamic
enabled
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format
geohash
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ignore_malformed
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index
index_options
lat_lon
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precision_step
properties
search_analyzer
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store
term_vector
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- Modules
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- Glossary of terms
- Release Notes
- 2.3.5 Release Notes
- 2.3.4 Release Notes
- 2.3.3 Release Notes
- 2.3.2 Release Notes
- 2.3.1 Release Notes
- 2.3.0 Release Notes
- 2.2.2 Release Notes
- 2.2.1 Release Notes
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- 2.1.1 Release Notes
- 2.1.0 Release Notes
- 2.0.2 Release Notes
- 2.0.1 Release Notes
- 2.0.0 Release Notes
- 2.0.0-rc1 Release Notes
- 2.0.0-beta2 Release Notes
- 2.0.0-beta1 Release Notes
WARNING: Version 2.3 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
Filter uses
GeoJSON to represent shapes.
Given a document that looks like this:
{ "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:
{ "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:
{ "bool": { "must": { "match_all": {} }, "filter": { "geo_shape": { "location": { "indexed_shape": { "id": "DEU", "type": "countries", "index": "shapes", "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.