--- id: geo title: "Spatial filters" --- > Apache Druid supports two query languages: [Druid SQL](../querying/sql.md) and [native queries](../querying/querying.md). > This document describes a feature that is only available in the native language. Apache Druid supports filtering spatially indexed columns based on an origin and a bound. This topic explains how to ingest and query spatial filters. For information on other filters supported by Druid, see [Query filters](../querying/filters.md). ## Spatial indexing Spatial indexing refers to ingesting data of a spatial data type, such as geometry or geography, into Druid. Spatial dimensions are string columns that contain coordinates separated by a comma. In the ingestion spec, you configure spatial dimensions in the `dimensionsSpec` object of the `dataSchema` component. You can provide spatial dimensions in any of the [data formats](../ingestion/data-formats.md) supported by Druid. The following example shows an ingestion spec with a spatial dimension named `coordinates`, which is constructed from the input fields `x` and `y`: ```json { "type": "hadoop", "dataSchema": { "dataSource": "DatasourceName", "parser": { "type": "string", "parseSpec": { "format": "json", "timestampSpec": { "column": "timestamp", "format": "auto" }, "dimensionsSpec": { "dimensions": [ { "type": "double", "name": "x" }, { "type": "double", "name": "y" } ], "spatialDimensions": [ { "dimName": "coordinates", "dims": [ "x", "y" ] } ] } } } } } ``` Each spatial dimension object in the `spatialDimensions` array is defined by the following fields: |Property|Description|Required| |--------|-----------|--------| |`dimName`|The name of a spatial dimension. You can construct a spatial dimension from other dimensions or it may already exist as part of an event. If a spatial dimension already exists, it must be an array of coordinate values.|yes| |`dims`|The list of dimension names that comprise the spatial dimension.|no| For information on how to use the ingestion spec to configure ingestion, see [Ingestion spec reference](../ingestion/ingestion-spec.md). For general information on loading data in Druid, see [Ingestion](../ingestion/index.md). ## Spatial filters A [filter](../querying/filters.md) is a JSON object indicating which rows of data should be included in the computation for a query. You can filter on spatial structures, such as rectangles and polygons, using the spatial filter. Spatial filters have the following structure: ```json "filter": { "type": "spatial", "dimension": , "bound": } ``` The following example shows a spatial filter with a rectangular bound type: ```json "filter" : { "type": "spatial", "dimension": "spatialDim", "bound": { "type": "rectangular", "minCoords": [10.0, 20.0], "maxCoords": [30.0, 40.0] } ``` The order of the dimension coordinates in the spatial filter must be equal to the order of the dimension coordinates in the `spatialDimensions` array. ### Bound types The `bound` property of the spatial filter object lets you filter on ranges of dimension values. You can define rectangular, radius, and polygon filter bounds. #### Rectangular The `rectangular` bound has the following elements: |Property|Description|Required| |--------|-----------|--------| |`minCoords`|The list of minimum dimension coordinates in the form [x, y]|yes| |`maxCoords`|The list of maximum dimension coordinates in the form [x, y]|yes| #### Radius The `radius` bound has the following elements: |Property|Description|Required| |--------|-----------|--------| |`coords`|Origin coordinates in the form [x, y]|yes| |`radius`|The float radius value|yes| #### Polygon The `polygon` bound has the following elements: |Property|Description|Required| |--------|-----------|--------| |`abscissa`|Horizontal coordinates for the corners of the polygon|yes| |`ordinate`|Vertical coordinates for the corners of the polygon|yes|