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https://issues.apache.org/jira/browse/SPARK-60357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yicong Huang updated SPARK-60357:
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Affects Version/s: 4.4.0
(was: 5.0.0)
> Return a named record from read_single_udf for every eval type
> --------------------------------------------------------------
>
> Key: SPARK-60357
> URL: https://issues.apache.org/jira/browse/SPARK-60357
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 4.4.0
> Reporter: Yicong Huang
> Assignee: Yicong Huang
> Priority: Major
> Labels: pull-request-available
>
> read_single_udf ends with an if/elif chain over eval types that packs each
> UDF into one of several positional tuple shapes, padded with None
> placeholders, for the handler that consumes it. Since each tuple is only a
> private contract between read_single_udf and one handler, read_single_udf
> should instead return a single named record (and read_single_udtf a UDTF
> record) for every eval type, and each EvalTypeHandler should take the fields
> it needs by name, deriving per-handler values such as num_udf_args or the
> kwargs/toInternal wrapping in its own __init__.
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