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Adgang til denne side kræver godkendelse. Du kan prøve at ændre mapper.
Important
This feature is in Public Preview. You can confirm preview enrollment on the Previews page. See Manage Azure Databricks previews.
Returns the input Geography or Geometry value in WKB format.
For the corresponding Databricks SQL function, see st_asbinary function.
Syntax
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
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()
[Row(result='010200000002000000000000000000F03F000000000000004000000000000008400000000000001040')]
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()
[Row(result='010200000002000000000000000000F03F000000000000004000000000000008400000000000001040')]
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()
[Row(result='0000000002000000023FF0000000000000400000000000000040080000000000004010000000000000')]