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This is a special version of to_binary that performs the same operation, but returns a NULL value instead of raising an error if the conversion cannot be performed.
For the corresponding Databricks SQL function, see try_to_binary function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.try_to_binary(col=<col>, format=<format>)
Parameters
| Parameter | Type | Description |
|---|---|---|
col |
pyspark.sql.Column or str |
Input column or strings. |
format |
pyspark.sql.Column or str, optional |
format to use to convert binary values. |
Examples
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([("abc",)], ["e"])
df.select(dbf.try_to_binary(df.e, dbf.lit("utf-8")).alias('r')).collect()
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([("414243",)], ["e"])
df.select(dbf.try_to_binary(df.e).alias('r')).collect()