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https://issues.apache.org/jira/browse/SPARK-55579?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Peter Toth updated SPARK-55579:
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Fix Version/s: 4.1.2
4.0.3
> Create Arrow-specific error classes for SCALAR_ITER_ARROW_UDF
> -------------------------------------------------------------
>
> Key: SPARK-55579
> URL: https://issues.apache.org/jira/browse/SPARK-55579
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 4.2.0
> Reporter: Yicong Huang
> Assignee: Yicong Huang
> Priority: Minor
> Labels: pull-request-available
> Fix For: 4.2.0, 4.1.2, 4.0.3
>
>
> h2. Background
> Currently, {{SQL_SCALAR_ARROW_ITER_UDF}} uses Pandas-specific error classes
> (e.g., {{PANDAS_UDF_OUTPUT_EXCEEDS_INPUT_ROWS}},
> {{RESULT_LENGTH_MISMATCH_FOR_SCALAR_ITER_PANDAS_UDF}},
> {{STOP_ITERATION_OCCURRED_FROM_SCALAR_ITER_PANDAS_UDF}}).
> Since this is a pure Arrow UDF eval type, it should use Arrow-specific error
> classes for clarity and consistency.
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