st_dump
Preview
This feature is in Public Preview. You can confirm preview enrollment on the Previews page. See Manage Databricks previews.
Returns an array containing the single geometries in the input geometry.
For the corresponding Databricks SQL function, see st_dump function.
Syntax
Python
from pyspark.databricks.sql import functions as dbf
dbf.st_dump(col=<col>)
Parameters
Parameter | Type | Description |
|---|---|---|
|
| A Geometry value. |
Examples
Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('MULTILINESTRING((1 2,3 4),(7 8,6 5))',)], ['wkt'])
df.select(dbf.st_asewkt(dbf.explode(dbf.st_dump(dbf.st_geomfromtext('wkt', 3857)))).alias('result')).collect()
Output
[Row(result='SRID=3857;LINESTRING(1 2,3 4)'), Row(result='SRID=3857;LINESTRING(7 8,6 5)')]
Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('GEOMETRYCOLLECTION(POINT EMPTY,MULTIPOINT(5 6,EMPTY,3 4))',)], ['wkt'])
df.select(dbf.st_astext(dbf.explode(dbf.st_dump(dbf.st_geomfromtext('wkt')))).alias('result')).collect()
Output
[Row(result='POINT EMPTY'), Row(result='POINT EMPTY'), Row(result='POINT(3 4)'), Row(result='POINT(5 6)')]