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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)
191 lines
4.5 KiB
Plaintext
191 lines
4.5 KiB
Plaintext
[[query-dsl-geo-distance-query]]
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=== Geo Distance Query
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Filters documents that include only hits that exists within a specific
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distance from a geo point. Assuming the following indexed json:
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[source,js]
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--------------------------------------------------
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{
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"pin" : {
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"location" : {
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"lat" : 40.12,
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"lon" : -71.34
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}
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}
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}
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--------------------------------------------------
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Then the following simple query can be executed with a `geo_distance`
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filter:
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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_distance" : {
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"distance" : "200km",
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"pin.location" : {
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"lat" : 40,
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"lon" : -70
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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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[float]
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==== Accepted Formats
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In much the same way the `geo_point` type can accept different
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representation of the geo point, the filter can accept it as well:
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[float]
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===== Lat Lon As Properties
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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_distance" : {
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"distance" : "12km",
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"pin.location" : {
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"lat" : 40,
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"lon" : -70
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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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[float]
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===== Lat Lon As Array
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Format in `[lon, lat]`, note, the order of lon/lat here in order to
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conform with http://geojson.org/[GeoJSON].
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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_distance" : {
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"distance" : "12km",
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"pin.location" : [-70, 40]
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}
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}
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}
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}
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--------------------------------------------------
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[float]
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===== Lat Lon As String
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Format in `lat,lon`.
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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_distance" : {
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"distance" : "12km",
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"pin.location" : "40,-70"
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}
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}
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}
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}
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--------------------------------------------------
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[float]
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===== Geohash
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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_distance" : {
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"distance" : "12km",
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"pin.location" : "drm3btev3e86"
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}
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}
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}
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}
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--------------------------------------------------
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[float]
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==== Options
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The following are options allowed on the filter:
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[horizontal]
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`distance`::
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The radius of the circle centred on the specified location. Points which
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fall into this circle are considered to be matches. The `distance` can be
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specified in various units. See <<distance-units>>.
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`distance_type`::
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How to compute the distance. Can either be `sloppy_arc` (default), `arc` (slightly more precise but significantly slower) or `plane` (faster, but inaccurate on long distances and close to the poles).
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`optimize_bbox`::
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Whether to use the optimization of first running a bounding box check
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before the distance check. Defaults to `memory` which will do in memory
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checks. Can also have values of `indexed` to use indexed value check (make
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sure the `geo_point` type index lat lon in this case), or `none` which
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disables bounding box optimization.
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`_name`::
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Optional name field to identify the query
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`ignore_malformed`::
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Set to `true` to accept geo points with invalid latitude or
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longitude (default is `false`).
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[float]
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==== geo_point Type
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The filter *requires* the `geo_point` type to be set on the relevant
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field.
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[float]
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==== Multi Location Per Document
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The `geo_distance` filter can work with multiple locations / points per
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document. Once a single location / point matches the filter, the
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document will be included in the filter.
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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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