[jira] [Assigned] (SPARK-58766) Represent PyArrow scalars Python cannot stringify in golden-file tests

["Yicong Huang (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-58766?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yicong Huang reassigned SPARK-58766:
------------------------------------

    Assignee: Haotian Sun

> 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
>            Assignee: 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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