nvl2

Returns col2 if col1 is not null, or col3 otherwise.

For the corresponding Databricks SQL function, see nvl2 function.

Syntax

from pyspark.databricks.sql import functions as dbf

dbf.nvl2(col1=<col1>, col2=<col2>, col3=<col3>)

Parameters

Parameter	Type	Description
col1	pyspark.sql.Column or str	The column to check.
col2	pyspark.sql.Column or str	The value to return if col1 is not null.
col3	pyspark.sql.Column or str	The value to return if col1 is null.

Examples

from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([(None, 8, 6,), (1, 9, 9,)], ["a", "b", "c"])
df.select('*', dbf.nvl2(df.a, df.b, df.c)).show()

+----+---+---+-------------+
|   a|  b|  c|nvl2(a, b, c)|
+----+---+---+-------------+
|NULL|  8|  6|            6|
|   1|  9|  9|            9|
+----+---+---+-------------+