st_asbinary

Preview

Support for GEOGRAPHY values is in Public Preview. Support for GEOMETRY values is generally available.

Returns the input Geography or Geometry value in WKB format.

For the corresponding Databricks SQL function, see st_asbinary function.

Syntax

Python

from pyspark.databricks.sql import functions as dbf

dbf.st_asbinary(col1=<col1>, col2=<col2>)

Parameters

Parameter	Type	Description
col1	pyspark.sql.Column or str	A geospatial value, either a Geography or Geometry.
col2	pyspark.sql.Column or str, optional	The optional endianness of the output WKB, NDR for little-endian (default) or XDR for big-endian.

Examples

Python

from pyspark.databricks.sql import functions as dbf
from pyspark.sql.functions import hex
df = spark.createDataFrame([('LINESTRING(1 2,3 4)',)], ['wkt'])
df.select(hex(dbf.st_asbinary(dbf.st_geogfromtext('wkt'))).alias('result')).collect()

Output

[Row(result='010200000002000000000000000000F03F000000000000004000000000000008400000000000001040')]

Python

from pyspark.databricks.sql import functions as dbf
from pyspark.sql.functions import hex
df = spark.createDataFrame([('LINESTRING(1 2,3 4)', 'NDR',)], ['wkt', 'e'])
df.select(hex(dbf.st_asbinary(dbf.st_geogfromtext('wkt'), df.e)).alias('result')).collect()

Output

[Row(result='010200000002000000000000000000F03F000000000000004000000000000008400000000000001040')]

Python

from pyspark.databricks.sql import functions as dbf
from pyspark.sql.functions import hex
df = spark.createDataFrame([('LINESTRING(1 2,3 4)',)], ['wkt'])
df.select(hex(dbf.st_asbinary(dbf.st_geogfromtext('wkt'), 'XDR')).alias('result')).collect()

Output

[Row(result='0000000002000000023FF0000000000000400000000000000040080000000000004010000000000000')]