to_geometry

Important

This feature is in Public Preview. You can confirm preview enrollment on the Previews page. See Manage Azure Databricks previews.

Parses the input BINARY or string value and returns the corresponding Geometry value. An error is thrown for invalid input.

For the corresponding Databricks SQL function, see to_geometry function.

Syntax

from pyspark.databricks.sql import functions as dbf

dbf.to_geometry(col=<col>)

Parameters

Parameter	Type	Description
col	pyspark.sql.Column or str	A string value in WKT or GeoJSON format, or a BINARY value in WKB or EWKB format representing a Geometry value.

Examples

from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('POINT Z (3 4 5)',)], ['wkt'])
df.select(dbf.st_asewkt(dbf.to_geometry('wkt')).alias('result')).collect()

[Row(result='POINT Z (3 4 5)')]

from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('{"type":"MultiPoint","coordinates":[[3,4,5]]}',)], ['geojson'])
df.select(dbf.st_asewkt(dbf.to_geometry('geojson')).alias('result')).collect()

[Row(result='SRID=4326;MULTIPOINT Z ((3 4 5))')]

from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([(bytes.fromhex('01ef0300000100000001e9030000000000000000084000000000000010400000000000001440'),)], ['wkb'])
df.select(dbf.st_asewkt(dbf.to_geometry('wkb')).alias('result')).collect()

[Row(result='GEOMETRYCOLLECTION Z (POINT Z (3 4 5))')]

from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([(bytes.fromhex('01020000a0110f000002000000000000000000084000000000000010400000000000001440000000000000084000000000000010400000000000001440'),)], ['ewkb'])
df.select(dbf.st_asewkt(dbf.to_geometry('ewkb')).alias('result')).collect()

[Row(result='SRID=3857;LINESTRING Z (3 4 5,3 4 5)')]