Gian Merlino 42590ae64b
Refresh query docs. (#9704)
* Refresh query docs.

Larger changes:

- New doc: querying/datasource.md describes the various kinds of
datasources you can use, and has examples for both SQL and native.
- New doc: querying/query-execution.md describes how native queries
are executed at a high level. It doesn't go into the details of specific
query engines or how queries run at a per-segment level. But I think it
would be good to add or link that content here in the future.
- Refreshed doc: querying/sql.md updated to refer to joins, reformatted
a bit, added a new "Query translation" section that explains how
queries are translated from SQL to native, and removed configuration
details (moved to configuration/index.md).
- Refreshed doc: querying/joins.md updated to refer to join datasources.

Smaller changes:

- Add helpful banners to the top of query documentation pages telling
people whether a given page describes SQL, native, or both.
- Add SQL metrics to operations/metrics.md.
- Add some color and cross-links in various places.
- Add native query component docs to the sidebar, and renamed them so
they look nicer.
- Remove Select query from the sidebar.
- Fix Broker SQL configs in configuration/index.md. Remove them from
querying/sql.md.
- Combined querying/searchquery.md and querying/searchqueryspec.md.

* Updates.

* Fix numbering.

* Fix glitches.

* Add new words to spellcheck file.

* Assorted changes.

* Further adjustments.

* Add missing punctuation.
2020-04-15 16:12:20 -07:00

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Markdown

---
id: geo
title: "Spatial filters"
---
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> Apache Druid supports two query languages: [Druid SQL](../querying/sql.md) and [native queries](../querying/querying.md).
> This document describes functionality that is only available in the native language.
Apache Druid supports filtering specially spatially indexed columns based on an origin and a bound.
## Spatial indexing
In any of the data specs, there is the option of providing spatial dimensions. For example, for a JSON data spec, spatial dimensions can be specified as follows:
```json
{
"type": "hadoop",
"dataSchema": {
"dataSource": "DatasourceName",
"parser": {
"type": "string",
"parseSpec": {
"format": "json",
"timestampSpec": {
"column": "timestamp",
"format": "auto"
},
"dimensionsSpec": {
"dimensions": [],
"spatialDimensions": [{
"dimName": "coordinates",
"dims": ["lat", "long"]
}]
}
}
}
}
}
```
## Spatial filters
|property|description|required?|
|--------|-----------|---------|
|dimName|The name of the spatial dimension. A spatial dimension may be constructed from multiple 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|A list of dimension names that comprise a spatial dimension.|no|
The grammar for a spatial filter is as follows:
```json
"filter" : {
"type": "spatial",
"dimension": "spatialDim",
"bound": {
"type": "rectangular",
"minCoords": [10.0, 20.0],
"maxCoords": [30.0, 40.0]
}
}
```
### Bound types
#### `rectangular`
|property|description|required?|
|--------|-----------|---------|
|minCoords|List of minimum dimension coordinates for coordinates [x, y, z, …]|yes|
|maxCoords|List of maximum dimension coordinates for coordinates [x, y, z, …]|yes|
#### `radius`
|property|description|required?|
|--------|-----------|---------|
|coords|Origin coordinates in the form [x, y, z, …]|yes|
|radius|The float radius value|yes|
#### `polygon`
|property|description|required?|
|--------|-----------|---------|
|abscissa|Horizontal coordinate for corners of the polygon|yes|
|ordinate|Vertical coordinate for corners of the polygon|yes|