zhengruifeng opened a new pull request, #53607:
URL: https://github.com/apache/spark/pull/53607
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### What changes were proposed in this pull request?
attempt to fix
https://github.com/apache/spark/actions/runs/20495264978/job/58904792835,
```
Caused by: org.apache.spark.api.python.PythonException: Traceback (most
recent call last):
File
"/Users/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line
3511, in main
process()
File
"/Users/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line
3502, in process
serializer.dump_stream(out_iter, outfile)
File
"/Users/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/sql/pandas/serializers.py",
line 781, in dump_stream
return ArrowStreamSerializer.dump_stream(self, wrap_and_init_stream(),
stream)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File
"/Users/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/sql/pandas/serializers.py",
line 120, in dump_stream
for batch in iterator:
File
"/Users/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/sql/pandas/serializers.py",
line 765, in wrap_and_init_stream
for packed in iterator:
File
"/Users/runner/work/spark/spark/python/lib/pyspark.zip/pyspark/worker.py", line
2954, in func
for result_batch, result_type in result_iter:
File
"/Users/runner/work/spark/spark/python/pyspark/sql/tests/arrow/test_arrow_udf_scalar.py",
line 930, in <lambda>
lambda it: map(lambda x: pa.compute.subtract(x, 1), it),
^^^^^^^^^^
AttributeError: module 'pyarrow' has no attribute 'compute'
```
This test passed before on macos26;
The parity test on spark connect pass;
### Why are the changes needed?
I suspect there is a cloudpickle pitfall when dealing with complicated
nested lambdas, I remember I resolved a similar issue by changing the import.
### Does this PR introduce _any_ user-facing change?
no, test-only
### How was this patch tested?
cannot reproduce this issue locally, will monitor the CI
### Was this patch authored or co-authored using generative AI tooling?
no
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