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Important
This feature is in Public Preview.
Returns the geodesic distance (in meters) between two point geometries on the WGS84 ellipsoid.
For the corresponding Databricks SQL function, see st_distancespheroid function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.st_distancespheroid(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. The coordinates of the two point geometries are expected to be longitudes and latitudes in degrees, in that order.
Examples
from pyspark.databricks.sql import functions as dbf
from pyspark.sql.functions.builtin import round
df = spark.createDataFrame([('POINT(2 3)','POINT ZM (6 7 23 1000)',)], ['wkt1', 'wkt2'])
df.select(round(dbf.st_distancespheroid(dbf.st_geomfromtext('wkt1'), dbf.st_geomfromtext('wkt2')), 3).alias('result')).collect()
[Row(result=626380.599)]