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Important
This feature is in Public Preview.
Returns the 2D Cartesian distance between the two input geometries. The units of the result are those of the coordinates of the input geometries.
For the corresponding Databricks SQL function, see st_distance function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.st_distance(col1=<col1>, col2=<col2>)
Parameters
| Parameter | Type | Description |
|---|---|---|
col1 |
pyspark.sql.Column or str |
The first Geometry value. |
col2 |
pyspark.sql.Column or str |
The second Geometry value. |
Notes
The two geometries are expected to have the same SRID value, otherwise an error is returned.
Examples
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('POINT(0 0)','LINESTRING(-10 10,20 10)',)], ['wkt1', 'wkt2'])
df.select(dbf.st_distance(dbf.st_geomfromtext('wkt1'), dbf.st_geomfromtext('wkt2')).alias('result')).collect()
[Row(result=10.0)]