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HyukjinKwon
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May 15, 2023
…ized Python UDF
### What changes were proposed in this pull request?
The PR proposes to provide support for the registration of an Arrow-optimized Python UDF in both vanilla PySpark and Spark Connect.
### Why are the changes needed?
Currently, when users register an Arrow-optimized Python UDF, it will be registered as a pickled Python UDF and thus, executed without Arrow optimization.
We should support Arrow-optimized Python UDFs registration and execute them with Arrow optimization.
### Does this PR introduce _any_ user-facing change?
Yes. No API changes, but result differences are expected in some cases.
Previously, a registered Arrow-optimized Python UDF will be executed without Arrow optimization.
Now, it will be executed with Arrow optimization, as shown below.
```sh
>>> df = spark.range(2)
>>> df.createOrReplaceTempView("df")
>>> from pyspark.sql.functions import udf
>>> udf(useArrow=True)
... def f(x):
... return str(x)
...
>>> spark.udf.register('str_f', f)
<pyspark.sql.udf.UserDefinedFunction object at 0x7fa1980c16a0>
>>> spark.sql("select str_f(id) from df").explain() # Executed with Arrow optimization
== Physical Plan ==
*(2) Project [pythonUDF0#32 AS f(id)#30]
+- ArrowEvalPython [f(id#27L)#29], [pythonUDF0#32], 101
+- *(1) Range (0, 2, step=1, splits=16)
```
Enabling or disabling Arrow optimization can produce result differences in some cases - we are working on minimizing the result differences though.
### How was this patch tested?
Unit test.
Closes apache#41125 from xinrong-meng/registerArrowPythonUDF.
Authored-by: Xinrong Meng <xinrong@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
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