mirror of https://github.com/apache/druid.git
73 lines
1.8 KiB
Markdown
73 lines
1.8 KiB
Markdown
---
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layout: doc_page
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---
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# Geographic Queries
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Druid supports filtering specially spatially indexed columns based on an origin and a bound.
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# Spatial Indexing
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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:
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```json
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{
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"type": "hadoop",
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"dataSchema": {
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"dataSource": "DatasourceName",
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"parser": {
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"type": "string",
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"parseSpec": {
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"format": "json",
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"timestampSpec": {
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"column": "timestamp",
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"format": "auto"
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},
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"dimensionsSpec": {
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"dimensions": [],
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"spatialDimensions": [{
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"dimName": "coordinates",
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"dims": ["lat", "long"]
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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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|property|description|required?|
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|--------|-----------|---------|
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|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|
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|dims|A list of dimension names that comprise a spatial dimension.|no|
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# Spatial Filters
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The grammar for a spatial filter is as follows:
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```json
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"filter" : {
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"type": "spatial",
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"dimension": "spatialDim",
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"bound": {
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"type": "rectangular",
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"minCoords": [10.0, 20.0],
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"maxCoords": [30.0, 40.0]
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}
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}
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```
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Bounds
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------
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### Rectangular
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|property|description|required?|
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|--------|-----------|---------|
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|minCoords|List of minimum dimension coordinates for coordinates [x, y, z, …]|yes|
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|maxCoords|List of maximum dimension coordinates for coordinates [x, y, z, …]|yes|
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### Radius
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|property|description|required?|
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|--------|-----------|---------|
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|coords|Origin coordinates in the form [x, y, z, …]|yes|
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|radius|The float radius value|yes|
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