138 lines
3.2 KiB
Plaintext
138 lines
3.2 KiB
Plaintext
[[query-dsl-geo-polygon-query]]
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=== Geo Polygon Query
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A query allowing to include hits that only fall within a polygon of
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points. Here is an example:
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[source,js]
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--------------------------------------------------
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{
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"bool" : {
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"query" : {
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"match_all" : {}
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},
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"filter" : {
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"geo_polygon" : {
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"person.location" : {
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"points" : [
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{"lat" : 40, "lon" : -70},
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{"lat" : 30, "lon" : -80},
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{"lat" : 20, "lon" : -90}
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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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[float]
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==== Query Options
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[cols="<,<",options="header",]
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|=======================================================================
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|Option |Description
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|`_name` |Optional name field to identify the filter
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|`ignore_malformed` |Set to `true` to accept geo points with invalid latitude or
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longitude (default is `false`).
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|=======================================================================
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[float]
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==== Allowed Formats
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[float]
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===== Lat Long 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_polygon" : {
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"person.location" : {
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"points" : [
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[-70, 40],
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[-80, 30],
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[-90, 20]
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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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[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_polygon" : {
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"person.location" : {
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"points" : [
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"40, -70",
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"30, -80",
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"20, -90"
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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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[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_polygon" : {
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"person.location" : {
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"points" : [
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"drn5x1g8cu2y",
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"30, -80",
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"20, -90"
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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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[float]
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==== geo_point Type
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The query *requires* the <<geo-point,`geo_point`>> type to be set on the
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relevant field.
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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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