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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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