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]
--------------------------------------------------
{
    "filtered" : {
        "query" : {
            "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

|`coerce` |Set to `true` to normalize longitude and latitude values to a
standard -180:180 / -90:90 coordinate system. (default is `false`).

|`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 <<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]
--------------------------------------------------
{
    "filtered" : {
        "query" : {
            "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]
--------------------------------------------------
{
    "filtered" : {
        "query" : {
            "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]
--------------------------------------------------
{
    "filtered" : {
        "query" : {
            "match_all" : {}
        },
        "filter" : {
            "geo_bounding_box" : {
                "pin.location" : {
                    "top_left" : "40.73, -74.1",
                    "bottom_right" : "40.01, -71.12"
                }
            }
        }
    }
}
--------------------------------------------------

[float]
===== Geohash

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


[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]
==== 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]
--------------------------------------------------
{
    "filtered" : {
        "query" : {
            "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"
            }
        }
    }
}
--------------------------------------------------