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https://issues.apache.org/jira/browse/SPARK-36594?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17404916#comment-17404916
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Apache Spark commented on SPARK-36594:
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User 'c21' has created a pull request for this issue:
https://github.com/apache/spark/pull/33843
> ORC vectorized reader should properly check maximal number of fields
> --------------------------------------------------------------------
>
> Key: SPARK-36594
> URL: https://issues.apache.org/jira/browse/SPARK-36594
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.2.0, 3.3.0
> Reporter: Cheng Su
> Priority: Major
>
> Debugged internally and found a bug where we should disable vectorized reader
> now based on schema recursively. Currently we check `schema.length` to be no
> more than `wholeStageMaxNumFields` to enable vectorization. `schema.length`
> does not take nested columns sub-fields into condition (i.e. view nested
> column same as primitive column). This check will be wrong when enabling
> vectorization for nested columns. We should follow same check from
> `WholeStageCodegenExec` to check sub-fields recursively. This will not cause
> correctness issue but will cause performance issue where we may enable
> vectorization for nested columns by mistake when nested column has a lot of
> sub-fields.
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