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https://issues.apache.org/jira/browse/SPARK-55583?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ruifeng Zheng resolved SPARK-55583.
-----------------------------------
    Fix Version/s: 4.2.0
       Resolution: Fixed

Issue resolved by pull request 54362
[https://github.com/apache/spark/pull/54362]

> Wrap Arrow VectorLoader IllegalArgumentException as PYTHON_DATA_SOURCE_ERROR 
> in Python Data Source read
> -------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-55583
>                 URL: https://issues.apache.org/jira/browse/SPARK-55583
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark
>    Affects Versions: 4.2.0
>            Reporter: Yicong Huang
>            Assignee: Yicong Huang
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 4.2.0
>
>
> h2. Problem
> When a Python Data Source reader returns Arrow batches whose buffer layout 
> does not match the expected schema, Arrow {{VectorLoader.load()}} throws a 
> raw {{IllegalArgumentException}}:
> {code}
> java.lang.IllegalArgumentException: not all nodes, buffers and 
> variadicBufferCounts were consumed.
>   nodes: [ArrowFieldNode [length=1, nullCount=1]]
>   buffers: [ArrowBuf[1595], ArrowBuf[1596]]
>   variadicBufferCounts: []
>     at org.apache.arrow.vector.VectorLoader.load(VectorLoader.java:98)
>     at 
> org.apache.arrow.vector.ipc.ArrowStreamReader.loadNextBatch(ArrowStreamReader.java:161)
>     at 
> o.a.s.sql.execution.python.ArrowOutputProcessorImpl.loadBatch(PythonArrowOutput.scala)
> {code}
> This error message is cryptic and not user-friendly. It can be mistaken for 
> an internal system error.
> h2. Proposal
> Catch {{IllegalArgumentException}} in the Python Data Source specific code 
> path and wrap it as {{PYTHON_DATA_SOURCE_ERROR}} with the expected output 
> schema context. The fix should only affect Python Data Source reader 
> execution and not impact other Python execution paths (UDFs, Pandas API, 
> etc.).
> The improved error message should provide:
> - Clear indication this is a Python Data Source error
> - Expected output schema
> - Original Arrow error details for debugging



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