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try_to_geography

Preview

This feature is in Public Preview.

Parses the input BINARY or string value and returns the corresponding Geography value. None is returned if the input is invalid.

For the corresponding Databricks SQL function, see try_to_geography function.

Syntax​

Python
from pyspark.databricks.sql import functions as dbf

dbf.try_to_geography(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 format representing a Geography value.

Examples​

Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('POINT Z (3 4 5)',)], ['wkt'])
df.select(dbf.st_asewkt(dbf.try_to_geography('wkt')).alias('result')).collect()
Output
[Row(result='SRID=4326;POINT Z (3 4 5)')]
Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('{"type":"MultiPoint","coordinates":[[3,4,5]]}',)], ['geojson'])
df.select(dbf.st_asewkt(dbf.try_to_geography('geojson')).alias('result')).collect()
Output
[Row(result='SRID=4326;MULTIPOINT Z ((3 4 5))')]
Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([(bytes.fromhex('01ef0300000100000001e9030000000000000000084000000000000010400000000000001440'),)], ['wkb'])
df.select(dbf.st_asewkt(dbf.try_to_geography('wkb')).alias('result')).collect()
Output
[Row(result='SRID=4326;GEOMETRYCOLLECTION Z (POINT Z (3 4 5))')]
Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('invalid wkt',)], ['wkt'])
df.select(dbf.st_asewkt(dbf.try_to_geography('wkt')).alias('result')).collect()
Output
[Row(result=None)]