ST_PolyFromEsriJSON

ST_PolyFromEsriJSON takes a string column and returns a polygon column. The input string column must contain the Esri JSON representation of polygon geometries. You can optionally specify a spatial reference for the result polygon column. The sr parameter value must be a valid SRID or WKT string. Any SRID defined in the input strings will not be used. If a polygon cannot be created from the input string the function will return null.

FunctionSyntax
Pythonpoly_from_esri_json(json_str,sr=None)
SQLST_PolyFromEsriJson(json_str,sr)
ScalapolyFromEsriJson(json,sr)

For more details, go to the GeoAnalytics Engine API reference for poly_from_esri_json.

Examples

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from geoanalytics.sql import functions as ST

poly_esri_json = '{"rings":[[[20,30],[18,28],[22,35],[20,30]]]}'

df = spark.createDataFrame([(poly_esri_json, )], ["esri_json"])

df.select(ST.poly_from_esri_json("esri_json", sr=4326).alias("poly_from_esri_json")).show(truncate=False)
Result
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+---------------------------------------------+
|poly_from_esri_json                          |
+---------------------------------------------+
|{"rings":[[[20,30],[18,28],[22,35],[20,30]]]}|
+---------------------------------------------+

Version table

ReleaseNotes

1.0.0

Python and SQL functions introduced

1.5.0

Scala function introduced

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