nvl

Returns col2 if col1 is null, or col1 otherwise.

For the corresponding Databricks SQL function, see nvl function.

Syntax

Python

from pyspark.databricks.sql import functions as dbf

dbf.nvl(col1=<col1>, col2=<col2>)

Parameters

Parameter	Type	Description
col1	pyspark.sql.Column or str	The first column to check.
col2	pyspark.sql.Column or str	The value to return if col1 is null.

Examples

Python

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

Output

+----+---+--------+
|   a|  b|nvl(a, b)|
+----+---+--------+
|NULL|  8|       8|
|   1|  9|       1|
+----+---+--------+