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merged 2 commits into from
Apr 5, 2023
Merged

Enhanced REST tests for geo and cartesian centroid #94964

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d6191ce
Enhanced REST tests for geo and cartesian centroid
craigtaverner Mar 31, 2023
a911777
Enforce single shard
craigtaverner Apr 3, 2023
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297 changes: 297 additions & 0 deletions ...ck/plugin/src/yamlRestTest/resources/rest-api-spec/test/spatial/20_cartesian_centroid.yml
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setup:
- skip:
features: close_to

- do:
indices.create:
index: locations
body:
mappings:
properties:
location:
type: shape
city:
type: keyword
name:
type: keyword

- do:
bulk:
refresh: true
index: locations
body: |
{"index":{}}
{"location": "POINT(488.9187 5237.3184)", "city": "Amsterdam", "name": "Royal Palace Amsterdam"}
{"index":{}}
{"location": "POINT(488.5057 5237.0159)", "city": "Amsterdam", "name": "The Amsterdam Dungeon"}
{"index":{}}
{"location": "POINT(490.1618 5236.9219)", "city": "Amsterdam", "name": "Museum Het Rembrandthuis"}
{"index":{}}
{"location": "POINT(491.2350 5237.4081)", "city": "Amsterdam", "name": "NEMO Science Museum"}
{"index":{}}
{"location": "POINT(491.4722 5237.1667)", "city": "Amsterdam", "name": "Nederlands Scheepvaartmuseum"}
{"index":{}}
{"location": "POINT(488.394 5237.52)", "city": "Amsterdam", "name": "Anne Frank House"}
{"index":{}}
{"location": "POINT(440.5200 5122.2900)", "city": "Antwerp", "name": "Letterenhuis"}
{"index":{}}
{"location": "POINT(233.6389 4886.1111)", "city": "Paris", "name": "Musée du Louvre"}
{"index":{}}
{"location": "POINT(232.7000 4886.0000)", "city": "Paris", "name": "Musée dOrsay"}

- do:
indices.create:
index: shapes
body:
mappings:
properties:
shape:
type: shape
category:
type: keyword
name:
type: keyword

- do:
bulk:
refresh: true
index: shapes
body: |
{"index":{}}
{"shape": "POINT(488.9187 5237.3184)", "category": "points", "name": "Royal Palace Amsterdam"}
{"index":{}}
{"shape": "POINT(488.5057 5237.0159)", "category": "points", "name": "The Amsterdam Dungeon"}
{"index":{}}
{"shape": "POINT(490.1618 5236.9219)", "category": "points", "name": "Museum Het Rembrandthuis"}
{"index":{}}
{"shape": "POINT(491.2350 5237.4081)", "category": "points", "name": "NEMO Science Museum"}
{"index":{}}
{"shape": "POINT(491.4722 5237.1667)", "category": "points", "name": "Nederlands Scheepvaartmuseum"}
{"index":{}}
{"shape": "POINT(488.394 5237.52)", "category": "points", "name": "Anne Frank House"}
{"index":{}}
{"shape": "LINESTRING(491.4722 5237.1667, 488.9187 5237.3184)", "category": "linestrings", "name": "Path of: Nederlands Scheepvaartmuseum, Royal Palace Amsterdam"}
{"index":{}}
{"shape": "LINESTRING(490.1618 5236.9219, 491.2350 5237.4081, 491.4722 5237.1667)", "category": "linestrings", "name": "Path of: Museum Het Rembrandthuis, NEMO Science Museum, Nederlands Scheepvaartmuseum"}
{"index":{}}
{"shape": "LINESTRING(488.9187 5237.3184, 488.5057 5237.0159, 490.1618 5236.9219, 491.2350 5237.4081, 491.4722 5237.1667)", "category": "linestrings", "name": "Path of: Royal Palace Amsterdam, The Amsterdam Dungeon, Museum Het Rembrandthuis, NEMO Science Museum, Nederlands Scheepvaartmuseum"}
{"index":{}}
{"shape": "POLYGON((488.9187 5237.3184, 488.5057 5237.0159, 490.1618 5236.9219, 491.4722 5237.1667, 491.2350 5237.4081, 488.9187 5237.3184))", "category": "polygons", "name": "Area of: Royal Palace Amsterdam, The Amsterdam Dungeon, Museum Het Rembrandthuis, Nederlands Scheepvaartmuseum, NEMO Science Museum"}
{"index":{}}
{"shape": "POLYGON((488.35 5237.50, 488.44 5237.50, 488.44 5237.54, 488.35 5237.54, 488.35 5237.50))", "category": "polygons", "name": "Box around: Anne Frank House"}
{"index":{}}
{"shape": "MULTIPOLYGON(((488.9187 5237.3184, 488.5057 5237.0159, 490.1618 5236.9219, 491.4722 5237.1667, 491.2350 5237.4081, 488.9187 5237.3184)), ((488.35 5237.50, 488.44 5237.50, 488.44 5237.54, 488.35 5237.54, 488.35 5237.50)))", "category": "multipolygons", "name": "Two areas"}
{"index":{}}
{"shape": "GEOMETRYCOLLECTION(POINT(488.394 5237.52), LINESTRING(488.9187 5237.3184, 488.5057 5237.0159, 490.1618 5236.9219, 491.2350 5237.4081, 491.4722 5237.1667), POLYGON((488.35 5237.50, 488.44 5237.50, 488.44 5237.54, 488.35 5237.54, 488.35 5237.50)), MULTIPOLYGON(((488.9187 5237.3184, 488.5057 5237.0159, 490.1618 5236.9219, 491.4722 5237.1667, 491.2350 5237.4081, 488.9187 5237.3184)), ((488.35 5237.50, 488.44 5237.50, 488.44 5237.54, 488.35 5237.54, 488.35 5237.50))))", "category": "collections", "name": "Collection of point, line, polygon and multipolygon"}
{"index":{}}
{"shape": "GEOMETRYCOLLECTION(POINT(488.394 5237.52), LINESTRING(488.9187 5237.3184, 488.5057 5237.0159, 490.1618 5236.9219, 491.2350 5237.4081, 491.4722 5237.1667), POLYGON((488.35 5237.50, 488.44 5237.50, 488.44 5237.54, 488.35 5237.54, 488.35 5237.50)))", "category": "collections", "name": "Collection of point, line and polygon"}
{"index":{}}
{"shape": "GEOMETRYCOLLECTION(POINT(488.394 5237.52), LINESTRING(488.9187 5237.3184, 488.5057 5237.0159, 490.1618 5236.9219, 491.2350 5237.4081, 491.4722 5237.1667))", "category": "collections", "name": "Collection of point and line"}
{"index":{}}
{"shape": "GEOMETRYCOLLECTION(POINT(488.394 5237.52))", "category": "collections", "name": "Collection of one point"}
{"index":{}}
{"shape": "GEOMETRYCOLLECTION(POINT(488.394 5237.52), POINT(488.9187 5237.3184))", "category": "collections", "name": "Collection of two points"}

- do:
indices.refresh: { }

---
"Test cartesian_centroid aggregation on cartesian shape points":
- do:
search:
rest_total_hits_as_int: true
index: locations
size: 0
body:
aggs:
centroid:
cartesian_centroid:
field: location
- match: { hits.total: 9 }
- match: { aggregations.centroid.count: 9 }
- close_to: { aggregations.centroid.location.x: { value: 427.2829, error: 0.0001 } }
- close_to: { aggregations.centroid.location.y: { value: 5146.4169, error: 0.0001 } }

---
"Test cartesian_centroid aggregation on cartesian shape shapes":
- do:
search:
rest_total_hits_as_int: true
index: shapes
size: 0
body:
aggs:
centroid:
cartesian_centroid:
field: shape
- match: { hits.total: 17 }
- match: { aggregations.centroid.count: 17 }
- close_to: { aggregations.centroid.location.x: { value: 490.0065, error: 0.0001 } }
- close_to: { aggregations.centroid.location.y: { value: 5237.1722, error: 0.0001 } }

---
"Test cartesian_centroid aggregation on cartesian shape points with filter":
- do:
search:
rest_total_hits_as_int: true
index: locations
size: 0
body:
query:
term:
city: "Amsterdam"
aggs:
centroid:
cartesian_centroid:
field: location
- match: { hits.total: 6 }
- match: { aggregations.centroid.count: 6 }
- close_to: { aggregations.centroid.location.x: { value: 489.7812, error: 0.0001 } }
- close_to: { aggregations.centroid.location.y: { value: 5237.2252, error: 0.0001 } }

---
"Test cartesian_centroid aggregation on cartesian shape shapes with filter":
- do:
search:
rest_total_hits_as_int: true
index: shapes
size: 0
body:
query:
term:
category: "points"
aggs:
centroid:
cartesian_centroid:
field: shape
- match: { hits.total: 6 }
- match: { aggregations.centroid.count: 6 }
- close_to: { aggregations.centroid.location.x: { value: 489.7812, error: 0.0001 } }
- close_to: { aggregations.centroid.location.y: { value: 5237.2252, error: 0.0001 } }

---
"Test cartesian_centroid aggregation on cartesian shape points with grouping":
- do:
search:
rest_total_hits_as_int: true
index: locations
size: 0
body:
aggs:
cities:
terms:
field: "city"
aggs:
centroid:
cartesian_centroid:
field: location
- match: { hits.total: 9 }
- length: { aggregations.cities.buckets: 3 }
- match: { aggregations.cities.buckets.0.key: "Amsterdam" }
- match: { aggregations.cities.buckets.0.doc_count: 6 }
- match: { aggregations.cities.buckets.0.centroid.count: 6 }
- close_to: { aggregations.cities.buckets.0.centroid.location.x: { value: 489.7812, error: 0.0001 } }
- close_to: { aggregations.cities.buckets.0.centroid.location.y: { value: 5237.2252, error: 0.0001 } }
- match: { aggregations.cities.buckets.1.key: "Paris" }
- match: { aggregations.cities.buckets.1.doc_count: 2 }
- match: { aggregations.cities.buckets.1.centroid.count: 2 }
- close_to: { aggregations.cities.buckets.1.centroid.location.x: { value: 233.1694, error: 0.0001 } }
- close_to: { aggregations.cities.buckets.1.centroid.location.y: { value: 4886.0557, error: 0.0001 } }
- match: { aggregations.cities.buckets.2.key: "Antwerp" }
- match: { aggregations.cities.buckets.2.doc_count: 1 }
- match: { aggregations.cities.buckets.2.centroid.count: 1 }
- close_to: { aggregations.cities.buckets.2.centroid.location.x: { value: 440.5200, error: 0.0001 } }
- close_to: { aggregations.cities.buckets.2.centroid.location.y: { value: 5122.2900, error: 0.0001 } }

---
"Test cartesian_centroid aggregation on cartesian shape shapes with grouping":
- do:
search:
rest_total_hits_as_int: true
index: shapes
size: 0
body:
aggs:
categories:
terms:
field: "category"
aggs:
centroid:
cartesian_centroid:
field: shape
- match: { hits.total: 17 }
- length: { aggregations.categories.buckets: 5 }
- match: { aggregations.categories.buckets.0.key: "points" }
- match: { aggregations.categories.buckets.0.doc_count: 6 }
- match: { aggregations.categories.buckets.0.centroid.count: 6 }
- close_to: { aggregations.categories.buckets.0.centroid.location.x: { value: 489.7812, error: 0.0001 } }
- close_to: { aggregations.categories.buckets.0.centroid.location.y: { value: 5237.2252, error: 0.0001 } }
- match: { aggregations.categories.buckets.1.key: "collections" }
- match: { aggregations.categories.buckets.1.doc_count: 5 }
- match: { aggregations.categories.buckets.1.centroid.count: 5 }
- close_to: { aggregations.categories.buckets.1.centroid.location.x: { value: 489.9987, error: 0.0001 } }
- close_to: { aggregations.categories.buckets.1.centroid.location.y: { value: 5237.1741, error: 0.0001 } }
- match: { aggregations.categories.buckets.2.key: "linestrings" }
- match: { aggregations.categories.buckets.2.doc_count: 3 }
- match: { aggregations.categories.buckets.2.centroid.count: 3 }
- close_to: { aggregations.categories.buckets.2.centroid.location.x: { value: 490.1672, error: 0.0001 } }
- close_to: { aggregations.categories.buckets.2.centroid.location.y: { value: 5237.1595, error: 0.0001 } }
- match: { aggregations.categories.buckets.3.key: "polygons" }
- match: { aggregations.categories.buckets.3.doc_count: 2 }
- match: { aggregations.categories.buckets.3.centroid.count: 2 }
- close_to: { aggregations.categories.buckets.3.centroid.location.x: { value: 490.0105, error: 0.0001 } }
- close_to: { aggregations.categories.buckets.3.centroid.location.y: { value: 5237.1712, error: 0.0001 } }
- match: { aggregations.categories.buckets.4.key: "multipolygons" }
- match: { aggregations.categories.buckets.4.doc_count: 1 }
- match: { aggregations.categories.buckets.4.centroid.count: 1 }
- close_to: { aggregations.categories.buckets.4.centroid.location.x: { value: 490.0105, error: 0.0001 } }
- close_to: { aggregations.categories.buckets.4.centroid.location.y: { value: 5237.1714, error: 0.0001 } }

---
"Test cartesian_centroid aggregation on cartesian shape shapes with grouping and filter":
- do:
search:
rest_total_hits_as_int: true
index: shapes
size: 0
body:
query:
term:
category: "collections"
aggs:
names:
terms:
field: "name"
order:
_key: "asc"
aggs:
centroid:
cartesian_centroid:
field: shape
- match: { hits.total: 5 }
- length: { aggregations.names.buckets: 5 }
- match: { aggregations.names.buckets.0.key: "Collection of one point" }
- match: { aggregations.names.buckets.0.doc_count: 1 }
- match: { aggregations.names.buckets.0.centroid.count: 1 }
- close_to: { aggregations.names.buckets.0.centroid.location.x: { value: 488.394, error: 0.0001 } }
- close_to: { aggregations.names.buckets.0.centroid.location.y: { value: 5237.5200, error: 0.0001 } }
- match: { aggregations.names.buckets.1.key: "Collection of point and line" }
- match: { aggregations.names.buckets.1.doc_count: 1 }
- match: { aggregations.names.buckets.1.centroid.count: 1 }
- close_to: { aggregations.names.buckets.1.centroid.location.x: { value: 489.86888, error: 0.0001 } }
- close_to: { aggregations.names.buckets.1.centroid.location.y: { value: 5237.0883, error: 0.0001 } }
- match: { aggregations.names.buckets.2.key: "Collection of point, line and polygon" }
- match: { aggregations.names.buckets.2.doc_count: 1 }
- match: { aggregations.names.buckets.2.centroid.count: 1 }
- close_to: { aggregations.names.buckets.2.centroid.location.x: { value: 488.395, error: 0.0001 } }
- close_to: { aggregations.names.buckets.2.centroid.location.y: { value: 5237.5201, error: 0.0001 } }
- match: { aggregations.names.buckets.3.key: "Collection of point, line, polygon and multipolygon" }
- match: { aggregations.names.buckets.3.doc_count: 1 }
- match: { aggregations.names.buckets.3.centroid.count: 1 }
- close_to: { aggregations.names.buckets.3.centroid.location.x: { value: 490.0046, error: 0.0001 } }
- close_to: { aggregations.names.buckets.3.centroid.location.y: { value: 5237.1729, error: 0.0001 } }
- match: { aggregations.names.buckets.4.key: "Collection of two points" }
- match: { aggregations.names.buckets.4.doc_count: 1 }
- match: { aggregations.names.buckets.4.centroid.count: 1 }
- close_to: { aggregations.names.buckets.4.centroid.location.x: { value: 488.6563, error: 0.0001 } }
- close_to: { aggregations.names.buckets.4.centroid.location.y: { value: 5237.4194, error: 0.0001 } }
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