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https://issues.apache.org/jira/browse/SPARK-61102?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-61102:
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Labels: pull-request-available (was: )
> Reject unsupported NumPy longdouble scalar classes as PySpark does
> ------------------------------------------------------------------
>
> Key: SPARK-61102
> URL: https://issues.apache.org/jira/browse/SPARK-61102
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: DB Tsai
> Priority: Major
> Labels: pull-request-available
> Fix For: connect-rust-4.3.0
>
>
> The Rust Python client accepts a NumPy longdouble scalar as a Double literal
> on macOS arm64, where longdouble has an 8-byte dtype equal to float64 but
> remains a distinct Python scalar class. Official PySpark 4.3.0 rejects that
> scalar class with AssertionError after DoubleType inference. For larger
> longdouble dtypes it rejects the unsupported type with PySparkTypeError. The
> native dtype-kind/itemsize dispatch currently misses the scalar-class check.
> Add the corresponding class guard while preserving supported float32/float64
> literals and arrays. Correct the existing offline regression to assert
> platform-dependent reference error behavior rather than assuming every
> longdouble dtype raises PySparkTypeError. This existing baseline failure was
> reproduced during the Python/Rust compatibility fixes.
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