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#
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# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
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#
# http://www.apache.org/licenses/LICENSE-2.0
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"""
pyspark.inprocess -- In-process Python UDF framework for Apache Spark.
Provides zero-copy Arrow-based UDF execution via jep (Java Embedded Python),
eliminating the socket IPC overhead of standard Python/pandas UDFs.
Public API:
inprocess_udf - decorator to create an in-process Python UDF
Example::
import pyarrow.compute as pc
from pyspark.inprocess import inprocess_udf
from pyspark.sql.types import LongType
@inprocess_udf(returnType=LongType())
def double(x):
return pc.multiply(x, 2)
df.select(double(df.value)).show()
"""
from pyspark.inprocess.udf import inprocess_udf
__all__ = ["inprocess_udf"]