try_multiply

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_multiply function.

Syntax

from pyspark.databricks.sql import functions as dbf

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

Parameters

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

Examples

from pyspark.databricks.sql import functions as dbf
spark.createDataFrame(
    [(6000, 15), (1990, 2)], ["a", "b"]
).select("*", dbf.try_multiply("a", "b")).show()

+----+---+------------------+
|   a|  b|try_multiply(a, b)|
+----+---+------------------+
|6000| 15|             90000|
|1990|  2|              3980|
+----+---+------------------+

from pyspark.databricks.sql import functions as dbf
df = spark.range(6).select(dbf.make_interval(dbf.col("id"), dbf.lit(3)).alias("itvl"), "id")
df.select("*", dbf.try_multiply("itvl", "id")).show()

+----------------+---+----------------------+
|            itvl| id|try_multiply(itvl, id)|
+----------------+---+----------------------+
|        3 months|  0|             0 seconds|
|1 years 3 months|  1|      1 years 3 months|
|2 years 3 months|  2|      4 years 6 months|
|3 years 3 months|  3|      9 years 9 months|
|4 years 3 months|  4|              17 years|
|5 years 3 months|  5|     26 years 3 months|
+----------------+---+----------------------+