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https://issues.apache.org/jira/browse/SPARK-58766?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-58766:
-----------------------------------
Labels: pull-request-available (was: )
> Represent PyArrow scalars Python cannot stringify in golden-file tests
> ----------------------------------------------------------------------
>
> Key: SPARK-58766
> URL: https://issues.apache.org/jira/browse/SPARK-58766
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark, Tests
> Affects Versions: 4.4.0
> Reporter: Haotian Sun
> Priority: Major
> Labels: pull-request-available
>
> The golden-file cell formatter (GoldenFileTestMixin.repr_arrow_value in
> python/pyspark/testing/goldenutils.py) renders each element with str(scalar),
> which
> raises for PyArrow scalars that are valid in Arrow but that Python cannot
> turn into an
> object:
> - an out-of-range temporal value (for example, int32 max cast to date32 is a
> valid
> date32 whose day count is ~year 5.88M, so building a Python datetime.date
> raises
> OverflowError), and
> - non-UTF-8 bytes cast to string (str raises UnicodeDecodeError).
> The conversion itself succeeds; only the string rendering fails. Today the
> failure is
> swallowed into a misleading ERR@<Exception> cell (which reads like a failed
> conversion),
> and it would crash the test once the cell try/except is narrowed to guard
> only the
> conversion call.
> Fix: when str(scalar) raises for such a value, record the raw stored value
> (for example,
> raw=2147483647) instead of failing. This ticket covers the out-of-range
> temporal case;
> the non-UTF-8 binary case follows as a [FOLLOWUP].
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