Бележка
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Wrapper for user-defined table function registration. This instance can be accessed by spark.udtf.
Syntax
# Access through SparkSession
spark.udtf
Methods
| Method | Description |
|---|---|
register(name, f) |
Registers a Python user-defined table function as a SQL table function. |
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)]