167 lines
5.0 KiB
Plaintext
167 lines
5.0 KiB
Plaintext
[role="xpack"]
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[testenv="basic"]
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[[ingest-circle-processor]]
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=== Circle processor
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++++
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<titleabbrev>Circle</titleabbrev>
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++++
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Converts circle definitions of shapes to regular polygons which approximate them.
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[[circle-processor-options]]
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.Circle Processor Options
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[options="header"]
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|======
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| Name | Required | Default | Description
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| `field` | yes | - | The string-valued field to trim whitespace from
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| `target_field` | no | `field` | The field to assign the polygon shape to, by default `field` is updated in-place
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| `ignore_missing` | no | `false` | If `true` and `field` does not exist, the processor quietly exits without modifying the document
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| `error_distance` | yes | - | The difference between the resulting inscribed distance from center to side and the circle's radius (measured in meters for `geo_shape`, unit-less for `shape`)
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| `shape_type` | yes | - | which field mapping type is to be used when processing the circle: `geo_shape` or `shape`
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include::common-options.asciidoc[]
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|======
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image:images/spatial/error_distance.png[]
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[source,console]
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--------------------------------------------------
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PUT circles
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{
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"mappings": {
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"properties": {
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"circle": {
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"type": "geo_shape"
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}
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}
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}
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}
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PUT _ingest/pipeline/polygonize_circles
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{
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"description": "translate circle to polygon",
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"processors": [
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{
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"circle": {
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"field": "circle",
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"error_distance": 28.0,
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"shape_type": "geo_shape"
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}
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}
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]
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}
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--------------------------------------------------
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Using the above pipeline, we can attempt to index a document into the `circles` index.
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The circle can be represented as either a WKT circle or a GeoJSON circle. The resulting
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polygon will be represented and indexed using the same format as the input circle. WKT will
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be translated to a WKT polygon, and GeoJSON circles will be translated to GeoJSON polygons.
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==== Example: Circle defined in Well Known Text
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In this example a circle defined in WKT format is indexed
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[source,console]
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--------------------------------------------------
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PUT circles/_doc/1?pipeline=polygonize_circles
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{
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"circle": "CIRCLE (30 10 40)"
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}
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GET circles/_doc/1
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--------------------------------------------------
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// TEST[continued]
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The response from the above index request:
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[source,console-result]
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--------------------------------------------------
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{
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"found": true,
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"_index": "circles",
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"_type": "_doc",
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"_id": "1",
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"_version": 1,
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"_seq_no": 22,
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"_primary_term": 1,
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"_source": {
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"circle": "POLYGON ((30.000365257263184 10.0, 30.000111397193788 10.00034284530941, 29.999706043744222 10.000213571721195, 29.999706043744222 9.999786428278805, 30.000111397193788 9.99965715469059, 30.000365257263184 10.0))"
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}
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}
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--------------------------------------------------
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// TESTRESPONSE[s/"_seq_no": \d+/"_seq_no" : $body._seq_no/ s/"_primary_term": 1/"_primary_term" : $body._primary_term/]
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==== Example: Circle defined in GeoJSON
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In this example a circle defined in GeoJSON format is indexed
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[source,console]
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--------------------------------------------------
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PUT circles/_doc/2?pipeline=polygonize_circles
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{
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"circle": {
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"type": "circle",
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"radius": "40m",
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"coordinates": [30, 10]
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}
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}
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GET circles/_doc/2
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--------------------------------------------------
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// TEST[continued]
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The response from the above index request:
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[source,console-result]
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--------------------------------------------------
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{
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"found": true,
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"_index": "circles",
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"_type": "_doc",
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"_id": "2",
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"_version": 1,
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"_seq_no": 22,
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"_primary_term": 1,
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"_source": {
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"circle": {
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"coordinates": [
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[
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[30.000365257263184, 10.0],
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[30.000111397193788, 10.00034284530941],
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[29.999706043744222, 10.000213571721195],
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[29.999706043744222, 9.999786428278805],
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[30.000111397193788, 9.99965715469059],
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[30.000365257263184, 10.0]
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]
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],
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"type": "Polygon"
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}
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}
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}
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--------------------------------------------------
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// TESTRESPONSE[s/"_seq_no": \d+/"_seq_no" : $body._seq_no/ s/"_primary_term": 1/"_primary_term" : $body._primary_term/]
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[[circle-processor-notes]]
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==== Notes on Accuracy
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Accuracy of the polygon that represents the circle is defined as `error_distance`. The smaller this
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difference is, the closer to a perfect circle the polygon is.
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Below is a table that aims to help capture how the radius of the circle affects the resulting number of sides
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of the polygon given different inputs.
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The minimum number of sides is `4` and the maximum is `1000`.
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[[circle-processor-accuracy]]
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.Circle Processor Accuracy
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[options="header"]
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|======
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| error_distance | radius in meters | number of sides of polygon
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| 1.00 | 1.0 | 4
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| 1.00 | 10.0 | 14
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| 1.00 | 100.0 | 45
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| 1.00 | 1000.0 | 141
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| 1.00 | 10000.0 | 445
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| 1.00 | 100000.0 | 1000
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|======
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