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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.
Returns True if the 2D Cartesian distance between the two input geometries is smaller than or equal to the input distance. The units of the distance are those of the coordinates of the input geometries.
For the corresponding Databricks SQL function, see st_dwithin function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.st_dwithin(col1=<col1>, col2=<col2>, col3=<col3>)
Parameters
| Parameter | Type | Description |
|---|---|---|
col1 |
pyspark.sql.Column or str |
The first Geometry value. |
col2 |
pyspark.sql.Column or str |
The second Geometry value. |
col3 |
pyspark.sql.Column or float |
The distance threshold. |
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_dwithin(dbf.st_geomfromtext('wkt1'), dbf.st_geomfromtext('wkt2'), 10.0).alias('result')).collect()
[Row(result=True)]