UDTFRegistration

Wrapper for user-defined table function registration. This instance can be accessed by spark.udtf.

Syntax

# Access through SparkSession
spark.udtf

Methods

Notes

Spark uses the return type of the given user-defined table function as the return type of the registered function.

To register a nondeterministic Python table function, first build a nondeterministic user-defined table function and then register it as a SQL function.

Examples

from pyspark.sql.functions import udtf

@udtf(returnType="c1: int, c2: int")
class PlusOne:
    def eval(self, x: int):
        yield x, x + 1

_ = spark.udtf.register(name="plus_one", f=PlusOne)
spark.sql("SELECT * FROM plus_one(1)").collect()

[Row(c1=1, c2=2)]

spark.sql("SELECT * FROM VALUES (0, 1), (1, 2) t(x, y), LATERAL plus_one(x)").collect()

[Row(x=0, y=1, c1=0, c2=1), Row(x=1, y=2, c1=1, c2=2)]