317 lines
7.8 KiB
Plaintext
317 lines
7.8 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` or `geo_point` type.
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Requires the <<geo-shape,`geo_shape` Mapping>> or the
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<<geo-point,`geo_point` 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 with locations as `geo_shape` fields:
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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 {es}'s `envelope` GeoJSON
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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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The above query can, similarly, be queried on `geo_point` fields.
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[source,console]
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--------------------------------------------------
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PUT /example_points
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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_point"
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}
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}
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}
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}
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PUT /example_points/_doc/1?refresh
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{
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"name": "Wind & Wetter, Berlin, Germany",
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"location": [13.400544, 52.530286]
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}
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--------------------------------------------------
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// TEST[continued]
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Using the same query, the documents with matching `geo_point` fields are
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returned.
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[source,console]
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--------------------------------------------------
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GET /example_points/_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": "intersects"
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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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// TEST[continued]
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[source,console-result]
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--------------------------------------------------
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{
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"took" : 17,
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"timed_out" : false,
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"_shards" : {
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"total" : 1,
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"successful" : 1,
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"skipped" : 0,
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"failed" : 0
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},
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"hits" : {
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"total" : {
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"value" : 1,
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"relation" : "eq"
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},
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"max_score" : 1.0,
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"hits" : [
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{
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"_index" : "example_points",
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"_type" : "_doc",
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"_id" : "1",
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"_score" : 1.0,
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"_source" : {
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"name": "Wind & Wetter, Berlin, Germany",
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"location": [13.400544, 52.530286]
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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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// TESTRESPONSE[s/"took" : 17/"took" : $body.took/]
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==== Pre-Indexed Shape
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The query also supports using a shape which has already been indexed in another
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index. This is particularly useful for when you have a pre-defined list of
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shapes and you want to reference the list using
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a logical name (for example 'New Zealand') rather than having to provide
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coordinates 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 to
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'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 which
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spatial relation operators may be used at search time.
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The following is a complete list of spatial relation operators available when
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searching a field of type `geo_shape`:
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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 has nothing in
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common with the query geometry.
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* `WITHIN` - Return all documents whose `geo_shape` field is within the query
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geometry.
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* `CONTAINS` - Return all documents whose `geo_shape` field contains the query
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geometry.
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When searching a field of type `geo_point` there is a single supported spatial
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relation operator:
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* `INTERSECTS` - (default) Return all documents whose `geo_point` field
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intersects the query geometry.
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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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==== Shape Types supported for Geo-Point
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When searching a field of type `geo_point` the following shape types are not
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supported:
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* `POINT`
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* `LINE`
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* `MULTIPOINT`
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* `MULTILINE`
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==== Notes
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* Geo-shape queries on geo-shapes implemented with
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<<prefix-trees, `PrefixTrees`>> will not be executed if
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<<query-dsl-allow-expensive-queries, `search.allow_expensive_queries`>> is set
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to false.
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* When data is indexed in a `geo_shape` field as an array of shapes, the arrays
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are treated as one shape. For this reason, the following requests are
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equivalent.
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[source,console]
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--------------------------------------------------
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PUT /test/_doc/1
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{
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"location": [
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{
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"coordinates": [46.25,20.14],
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"type": "point"
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},
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{
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"coordinates": [47.49,19.04],
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"type": "point"
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}
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]
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}
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--------------------------------------------------
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[source,console]
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--------------------------------------------------
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PUT /test/_doc/1
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{
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"location":
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{
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"coordinates": [[46.25,20.14],[47.49,19.04]],
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"type": "multipoint"
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}
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}
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--------------------------------------------------
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