165 lines
4.6 KiB
Plaintext
165 lines
4.6 KiB
Plaintext
[[query-dsl-geo-shape-query]]
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=== Geo-shape query
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++++
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<titleabbrev>Geo-shape</titleabbrev>
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++++
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Filter documents indexed using the `geo_shape` type.
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Requires the <<geo-shape,`geo_shape` Mapping>>.
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The `geo_shape` query uses the same grid square representation as the
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`geo_shape` mapping to find documents that have a shape that intersects
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with the query shape. It will also use the same Prefix Tree configuration
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as defined for the field mapping.
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The query supports two ways of defining the query shape, either by
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providing a whole shape definition, or by referencing the name of a shape
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pre-indexed in another index. Both formats are defined below with
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examples.
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==== Inline Shape Definition
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Similar to the `geo_shape` type, the `geo_shape` query uses
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http://www.geojson.org[GeoJSON] to represent shapes.
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Given the following index:
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[source,console]
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--------------------------------------------------
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PUT /example
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{
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"mappings": {
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"properties": {
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"location": {
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"type": "geo_shape"
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}
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}
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}
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}
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POST /example/_doc?refresh
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{
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"name": "Wind & Wetter, Berlin, Germany",
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"location": {
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"type": "point",
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"coordinates": [13.400544, 52.530286]
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}
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}
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--------------------------------------------------
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// TESTSETUP
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The following query will find the point using the Elasticsearch's
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`envelope` GeoJSON extension:
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[source,console]
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--------------------------------------------------
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GET /example/_search
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{
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"query":{
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"bool": {
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"must": {
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"match_all": {}
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},
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"filter": {
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"geo_shape": {
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"location": {
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"shape": {
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"type": "envelope",
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"coordinates" : [[13.0, 53.0], [14.0, 52.0]]
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},
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"relation": "within"
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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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==== Pre-Indexed Shape
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The Query also supports using a shape which has already been indexed in
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another index. This is particularly useful for when
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you have a pre-defined list of shapes which are useful to your
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application and you want to reference this using a logical name (for
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example 'New Zealand') rather than having to provide their coordinates
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each time. In this situation it is only necessary to provide:
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* `id` - The ID of the document that containing the pre-indexed shape.
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* `index` - Name of the index where the pre-indexed shape is. Defaults
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to 'shapes'.
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* `path` - The field specified as path containing the pre-indexed shape.
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Defaults to 'shape'.
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* `routing` - The routing of the shape document if required.
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The following is an example of using the Filter with a pre-indexed
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shape:
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[source,console]
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--------------------------------------------------
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PUT /shapes
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{
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"mappings": {
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"properties": {
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"location": {
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"type": "geo_shape"
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}
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}
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}
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}
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PUT /shapes/_doc/deu
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{
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"location": {
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"type": "envelope",
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"coordinates" : [[13.0, 53.0], [14.0, 52.0]]
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}
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}
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GET /example/_search
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{
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"query": {
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"bool": {
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"filter": {
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"geo_shape": {
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"location": {
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"indexed_shape": {
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"index": "shapes",
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"id": "deu",
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"path": "location"
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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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--------------------------------------------------
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==== Spatial Relations
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The <<spatial-strategy, geo_shape strategy>> mapping parameter determines
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which spatial relation operators may be used at search time.
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The following is a complete list of spatial relation operators available:
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* `INTERSECTS` - (default) Return all documents whose `geo_shape` field
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intersects the query geometry.
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* `DISJOINT` - Return all documents whose `geo_shape` field
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has nothing in common with the query geometry.
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* `WITHIN` - Return all documents whose `geo_shape` field
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is within the query geometry.
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* `CONTAINS` - Return all documents whose `geo_shape` field
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contains the query geometry. Note: this is only supported using the
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`recursive` Prefix Tree Strategy deprecated[6.6]
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[float]
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==== Ignore Unmapped
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When set to `true` the `ignore_unmapped` option will ignore an unmapped field
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and will not match any documents for this query. This can be useful when
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querying multiple indexes which might have different mappings. When set to
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`false` (the default value) the query will throw an exception if the field
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is not mapped.
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