TableValuedFunction.inline_outer

Explodes an array of structs into a table. Unlike inline, if the array is null or empty then null is produced for each nested column.

Syntax

spark.tvf.inline_outer(input)

Parameters

Parameter	Type	Description
input	pyspark.sql.Column	Input column of values to explode.

Returns

pyspark.sql.DataFrame: A DataFrame with exploded struct rows, or null values if the array is empty or null.

Examples

import pyspark.sql.functions as sf
spark.tvf.inline_outer(sf.array(
    sf.named_struct(sf.lit("a"), sf.lit(1), sf.lit("b"), sf.lit(2)),
    sf.named_struct(sf.lit("a"), sf.lit(3), sf.lit("b"), sf.lit(4))
)).show()

+---+---+
|  a|  b|
+---+---+
|  1|  2|
|  3|  4|
+---+---+

import pyspark.sql.functions as sf
spark.tvf.inline_outer(sf.array().astype("array<struct<a:int,b:int>>")).show()

+----+----+
|   a|   b|
+----+----+
|NULL|NULL|
+----+----+