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Posted to issues@spark.apache.org by "Cheng Su (Jira)" <ji...@apache.org> on 2021/03/25 08:58:00 UTC
[jira] [Updated] (SPARK-34862) Support nested column in Spark ORC
vectorized readers
[ https://issues.apache.org/jira/browse/SPARK-34862?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Cheng Su updated SPARK-34862:
-----------------------------
Description:
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]
was:
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]
> 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
> 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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