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Posted to issues@spark.apache.org by "L. C. Hsieh (Jira)" <ji...@apache.org> on 2021/10/29 00:30:00 UTC
[jira] [Resolved] (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:all-tabpanel ]
L. C. Hsieh resolved SPARK-34960.
---------------------------------
Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 34298
[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
> Assignee: Cheng Su
> Priority: Minor
> Fix For: 3.3.0
>
>
> 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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