elasticsearch/docs/reference/query-dsl/geo-bounding-box-query.asciidoc

[[query-dsl-geo-bounding-box-query]]
=== Geo Bounding Box Query

A query allowing to filter hits based on a point location using a
bounding box. Assuming the following indexed document:

[source,js]
--------------------------------------------------
{
    "pin" : {
        "location" : {
            "lat" : 40.12,
            "lon" : -71.34
        }
    }
}
--------------------------------------------------

Then the following simple query can be executed with a
`geo_bounding_box` filter:

[source,js]
--------------------------------------------------
{
    "bool" : {
        "must" : {
            "match_all" : {}
        },
        "filter" : {
            "geo_bounding_box" : {
                "pin.location" : {
                    "top_left" : {
                        "lat" : 40.73,
                        "lon" : -74.1
                    },
                    "bottom_right" : {
                        "lat" : 40.01,
                        "lon" : -71.12
                    }
                }
            }
        }
    }
}
--------------------------------------------------

[float]
==== Query Options

[cols="<,<",options="header",]
|=======================================================================
|Option |Description
|`_name` |Optional name field to identify the filter

|`ignore_malformed` |Set to `true` to
accept geo points with invalid latitude or longitude (default is `false`).

|`type` |Set to one of `indexed` or `memory` to defines whether this filter will
be executed in memory or indexed. See <<geo-bbox-type,Type>> below for further details
Default is `memory`.
|=======================================================================

[float]
==== Accepted Formats

In much the same way the geo_point type can accept different
representation of the geo point, the filter can accept it as well:

[float]
===== Lat Lon As Properties

[source,js]
--------------------------------------------------
{
    "bool" : {
        "must" : {
            "match_all" : {}
        },
        "filter" : {
            "geo_bounding_box" : {
                "pin.location" : {
                    "top_left" : {
                        "lat" : 40.73,
                        "lon" : -74.1
                    },
                    "bottom_right" : {
                        "lat" : 40.01,
                        "lon" : -71.12
                    }
                }
            }
        }
    }
}
--------------------------------------------------

[float]
===== Lat Lon As Array

Format in `[lon, lat]`, note, the order of lon/lat here in order to
conform with http://geojson.org/[GeoJSON].

[source,js]
--------------------------------------------------
{
    "bool" : {
        "must" : {
            "match_all" : {}
        },
        "filter" : {
            "geo_bounding_box" : {
                "pin.location" : {
                    "top_left" : [-74.1, 40.73],
                    "bottom_right" : [-71.12, 40.01]
                }
            }
        }
    }
}
--------------------------------------------------

[float]
===== Lat Lon As String

Format in `lat,lon`.

[source,js]
--------------------------------------------------
{
    "bool" : {
        "must" : {
            "match_all" : {}
        },
        "filter" : {
            "geo_bounding_box" : {
                "pin.location" : {
                    "top_left" : "40.73, -74.1",
                    "bottom_right" : "40.01, -71.12"
                }
            }
        }
    }
}
--------------------------------------------------

[float]
===== Geohash

[source,js]
--------------------------------------------------
{
    "bool" : {
        "must" : {
            "match_all" : {}
        },
        "filter" : {
            "geo_bounding_box" : {
                "pin.location" : {
                    "top_left" : "dr5r9ydj2y73",
                    "bottom_right" : "drj7teegpus6"
                }
            }
        }
    }
}
--------------------------------------------------

[float]
==== Vertices

The vertices of the bounding box can either be set by `top_left` and
`bottom_right` or by `top_right` and `bottom_left` parameters. More
over the names `topLeft`, `bottomRight`, `topRight` and `bottomLeft`
are supported. Instead of setting the values pairwise, one can use
the simple names `top`, `left`, `bottom` and `right` to set the
values separately.

[source,js]
--------------------------------------------------
{
    "bool" : {
        "must" : {
            "match_all" : {}
        },
        "filter" : {
            "geo_bounding_box" : {
                "pin.location" : {
                    "top" : 40.73,
                    "left" : -74.1,
                    "bottom" : 40.01,
                    "right" : -71.12
                }
            }
        }
    }
}
--------------------------------------------------


[float]
==== geo_point Type

The filter *requires* the `geo_point` type to be set on the relevant
field.

[float]
==== Multi Location Per Document

The filter can work with multiple locations / points per document. Once
a single location / point matches the filter, the document will be
included in the filter

[float]
[[geo-bbox-type]]
==== Type

The type of the bounding box execution by default is set to `memory`,
which means in memory checks if the doc falls within the bounding box
range. In some cases, an `indexed` option will perform faster (but note
that the `geo_point` type must have lat and lon indexed in this case).
Note, when using the indexed option, multi locations per document field
are not supported. Here is an example:

[source,js]
--------------------------------------------------
{
    "bool" : {
        "must" : {
            "match_all" : {}
        },
        "filter" : {
            "geo_bounding_box" : {
                "pin.location" : {
                    "top_left" : {
                        "lat" : 40.73,
                        "lon" : -74.1
                    },
                    "bottom_right" : {
                        "lat" : 40.10,
                        "lon" : -71.12
                    }
                },
                "type" : "indexed"
            }
        }
    }
}
--------------------------------------------------

[float]
==== Ignore Unmapped

When set to `true` the `ignore_unmapped` option will ignore an unmapped field
and will not match any documents for this query. This can be useful when
querying multiple indexes which might have different mappings. When set to
`false` (the default value) the query will throw an exception if the field
is not mapped.