st_asbinary

Preview

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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')]