try_subtract

Returns left-right and the result is null on overflow. The acceptable input types are the same with the - operator. Supports Spark Connect.

For the corresponding Databricks SQL function, see try_subtract function.

Syntax

Python

from pyspark.databricks.sql import functions as dbf

dbf.try_subtract(left=<left>, right=<right>)

Parameters

Parameter	Type	Description
left	pyspark.sql.Column or column name
right	pyspark.sql.Column or column name

Examples

Python

from pyspark.databricks.sql import functions as dbf
spark.createDataFrame(
    [(1982, 15), (1990, 2)], ["birth", "age"]
).select("*", dbf.try_subtract("birth", "age")).show()

Output

+-----+---+------------------------+
|birth|age|try_subtract(birth, age)|
+-----+---+------------------------+
| 1982| 15|                    1967|
| 1990|  2|                    1988|
+-----+---+------------------------+

Python

from pyspark.databricks.sql import functions as dbf
spark.sql(
    "SELECT * FROM VALUES (DATE('2015-10-01')) AS TAB(date)"
).select("*", dbf.try_subtract("date", dbf.lit(1))).show()

Output

+----------+---------------------+
|      date|try_subtract(date, 1)|
+----------+---------------------+
|2015-10-01|           2015-09-30|
+----------+---------------------+