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https://issues.apache.org/jira/browse/SPARK-34862?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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L. C. Hsieh reassigned SPARK-34862:
-----------------------------------
Assignee: Cheng Su
> Support nested column in Spark ORC vectorized readers
> -----------------------------------------------------
>
> Key: SPARK-34862
> URL: https://issues.apache.org/jira/browse/SPARK-34862
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: Cheng Su
> Assignee: Cheng Su
> Priority: Minor
>
> The task is to support nested column type in Spark ORC vectorized reader.
> Currently ORC vectorized reader does not support nested column type (struct,
> array and map). We implemented nested column vectorized reader for FB-ORC in
> our internal fork of Spark. We are seeing performance improvement compared to
> non-vectorized reader when reading nested columns. In addition, this can also
> help improve the non-nested column performance when reading non-nested and
> nested columns together in one query.
>
> ORC:
> [https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/orc/OrcFileFormat.scala#L138]
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