TableValuedFunction.explode_outer

Returns a DataFrame containing a new row for each element with position in the given array or map. Unlike explode, if the array/map is null or empty then null is produced. Uses the default column name col for elements in the array and key and value for elements in the map unless specified otherwise.

Syntax

spark.tvf.explode_outer(collection)

Parameters

Parameter	Type	Description
collection	pyspark.sql.Column	Target column to work on.

Returns

pyspark.sql.DataFrame: A DataFrame with a new row for each element, or null if the collection is empty or null.

Examples

import pyspark.sql.functions as sf
spark.tvf.explode_outer(sf.array(sf.lit("foo"), sf.lit("bar"))).show()

+---+
|col|
+---+
|foo|
|bar|
+---+

import pyspark.sql.functions as sf
spark.tvf.explode_outer(sf.array()).show()

+----+
| col|
+----+
|NULL|
+----+

import pyspark.sql.functions as sf
spark.tvf.explode_outer(sf.create_map(sf.lit("x"), sf.lit(1.0))).show()

+---+-----+
|key|value|
+---+-----+
|  x|  1.0|
+---+-----+

import pyspark.sql.functions as sf
spark.tvf.explode_outer(sf.create_map()).show()

+----+-----+
| key|value|
+----+-----+
|NULL| NULL|
+----+-----+