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c595322d90
The change adds a new option to the geo_* queries: ignore_unmapped. If this option is set to false, the toQuery method on the QueryBuilder will throw an exception if the field specified in the query is unmapped. If the option is set to true, the toQuery method on the QueryBuilder will return a MatchNoDocsQuery. The default value is false so the queries work how they do today (throwing an exception on unmapped field)
129 lines
4.0 KiB
Plaintext
129 lines
4.0 KiB
Plaintext
[[query-dsl-geo-shape-query]]
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=== GeoShape Query
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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 PrefixTree 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` Filter uses
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http://www.geojson.org[GeoJSON] to represent shapes.
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Given a document that looks like this:
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[source,js]
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--------------------------------------------------
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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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The following query will find the point using the Elasticsearch's
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`envelope` GeoJSON extension:
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[source,js]
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--------------------------------------------------
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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 and/or index type. 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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* `type` - Index type where the pre-indexed shape is.
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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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The following is an example of using the Filter with a pre-indexed
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shape:
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[source,js]
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--------------------------------------------------
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{
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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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"indexed_shape": {
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"id": "DEU",
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"type": "countries",
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"index": "shapes",
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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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==== 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.
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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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