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Posted to issues@spark.apache.org by "Cheng Su (Jira)" <ji...@apache.org> on 2021/03/25 08:56:00 UTC

[jira] [Created] (SPARK-34862) Support nested column in Spark ORC vectorized readers

Cheng Su created SPARK-34862:
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             Summary: 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


The task is to support nested column type in Spark ORC vectorized reader. Currently both 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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