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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/04/22 01:21:00 UTC
[jira] [Commented] (SPARK-34960) Aggregate (Min/Max/Count) push down for ORC
[ https://issues.apache.org/jira/browse/SPARK-34960?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17526145#comment-17526145 ]
Apache Spark commented on SPARK-34960:
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User 'c21' has created a pull request for this issue:
https://github.com/apache/spark/pull/36311
> Aggregate (Min/Max/Count) push down for ORC
> -------------------------------------------
>
> Key: SPARK-34960
> URL: https://issues.apache.org/jira/browse/SPARK-34960
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: Cheng Su
> Assignee: Cheng Su
> Priority: Minor
> Fix For: 3.3.0
>
> Attachments: file_no_stats-orc.tar.gz
>
>
> Similar to Parquet (https://issues.apache.org/jira/browse/SPARK-34952), we can also push down certain aggregations into ORC. ORC exposes column statistics in interface `org.apache.orc.Reader` ([https://github.com/apache/orc/blob/master/java/core/src/java/org/apache/orc/Reader.java#L118] ), where Spark can utilize for aggregation push down.
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