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https://issues.apache.org/jira/browse/SPARK-38891?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-38891:
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    Assignee: Apache Spark

> Skipping allocating vector for repetition & definition levels when possible
> ---------------------------------------------------------------------------
>
>                 Key: SPARK-38891
>                 URL: https://issues.apache.org/jira/browse/SPARK-38891
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 3.3.0
>            Reporter: Chao Sun
>            Assignee: Apache Spark
>            Priority: Major
>
> Currently the vectorized Parquet reader will allocate vectors for repetition 
> and definition levels in all cases. However in certain cases (e.g., when 
> reading primitive types) this is not necessary and should be avoided.



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