crossJoin

Returns the cartesian product with another DataFrame.

Syntax

crossJoin(other: "DataFrame")

Parameters

Returns

DataFrame: Joined DataFrame.

Examples

from pyspark.sql import Row
df = spark.createDataFrame(
    [(14, "Tom"), (23, "Alice"), (16, "Bob")], ["age", "name"])
df2 = spark.createDataFrame(
    [Row(height=80, name="Tom"), Row(height=85, name="Bob")])
df.crossJoin(df2.select("height")).select("age", "name", "height"
    ).orderBy("age", "name", "height").show()
# +---+-----+------+
# |age| name|height|
# +---+-----+------+
# | 14|  Tom|    80|
# | 14|  Tom|    85|
# | 16|  Bob|    80|
# | 16|  Bob|    85|
# | 23|Alice|    80|
# | 23|Alice|    85|
# +---+-----+------+