[SPARK-46663][PYTHON] Disable memory profiler for pandas UDFs with iterators

[xinrong-meng]

What changes were proposed in this pull request?

When using pandas UDFs with iterators, if users enable the profiling spark conf, a warning indicating non-support should be raised, and profiling should be disabled.

However, currently, after raising the not-supported warning, the memory profiler is still being enabled.

The PR proposed to fix that.

Why are the changes needed?

A bug fix to eliminate misleading behavior.

Does this PR introduce any user-facing change?

The noticeable changes will affect only those using the PySpark shell. This is because, in the PySpark shell, the memory profiler will raise an error, which in turn blocks the execution of the UDF.

How was this patch tested?

Manual test.

Was this patch authored or co-authored using generative AI tooling?

Setup:

$ ./bin/pyspark --conf spark.python.profile=true

>>> from typing import Iterator
>>> from pyspark.sql.functions import *
>>> import pandas as pd
>>> @pandas_udf("long")
... def plus_one(iterator: Iterator[pd.Series]) -> Iterator[pd.Series]:
...     for s in iterator:
...         yield s + 1
... 
>>> df = spark.createDataFrame(pd.DataFrame([1, 2, 3], columns=["v"]))

Before:

>>> df.select(plus_one(df.v)).show()
UserWarning: Profiling UDFs with iterators input/output is not supported.
Traceback (most recent call last):
...
OSError: could not get source code

After:

>>> df.select(plus_one(df.v)).show()
/Users/xinrong.meng/spark/python/pyspark/sql/udf.py:417: UserWarning: Profiling UDFs with iterators input/output is not supported.
+-----------+                                                                   
|plus_one(v)|
+-----------+
|          2|
|          3|
|          4|
+-----------+

[xinrong-meng]

@ueshin @HyukjinKwon @zhengruifeng may I get a review please?

[ueshin]

Could you add a test for this?
Otherwise, LGTM.

[xinrong-meng]

Thanks all! Merged to master, will do manual cherry-pick for branch-3.5