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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/10/16 03:23:00 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=17429513#comment-17429513 ] 

Apache Spark commented on SPARK-34960:
--------------------------------------

User 'c21' has created a pull request for this issue:
https://github.com/apache/spark/pull/34298

> 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
>            Priority: Minor
>
> 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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