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Important
This feature is in Public Preview. You can confirm preview enrollment on the Previews page. See Manage Azure Databricks previews.
Parses the WKT description and returns the corresponding Geometry value.
For the corresponding Databricks SQL function, see st_geomfromwkt function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.st_geomfromwkt(col1=<col1>, col2=<col2>)
Parameters
| Parameter | Type | Description |
|---|---|---|
col1 |
pyspark.sql.Column or str |
A string in WKT format, representing a geometry value. |
col2 |
pyspark.sql.Column or int, optional |
The optional SRID of the geometry. Default is 0. |
Examples
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('LINESTRING(5 6,7 -8)',)], ['wkt'])
df.select(dbf.st_astext(dbf.st_geomfromwkt('wkt')).alias('result')).collect()
[Row(result='LINESTRING(5 6,7 -8)')]
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('LINESTRING(5 6,7 -8)', 3857,)], ['wkt', 'srid'])
df.select(dbf.st_astext(dbf.st_geomfromwkt('wkt', 'srid')).alias('result')).collect()
[Row(result='LINESTRING(5 6,7 -8)')]