You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/04/05 00:05:00 UTC

[jira] [Commented] (SPARK-38573) Support Auto Partition Level Statistics Collection

    [ https://issues.apache.org/jira/browse/SPARK-38573?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17517163#comment-17517163 ] 

Apache Spark commented on SPARK-38573:
--------------------------------------

User 'kazuyukitanimura' has created a pull request for this issue:
https://github.com/apache/spark/pull/36067

> Support Auto Partition Level Statistics Collection
> --------------------------------------------------
>
>                 Key: SPARK-38573
>                 URL: https://issues.apache.org/jira/browse/SPARK-38573
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.4.0
>            Reporter: Kazuyuki Tanimura
>            Priority: Major
>
> Currently https://issues.apache.org/jira/browse/SPARK-21127 supports storing the aggregated stats at table level for partitioned tables with config spark.sql.statistics.size.autoUpdate.enabled.
> Supporting partition level stats are useful to know which partitions are outliers (skewed partition) and query optimizer works better with partition level stats in case of partition pruning.
>  



--
This message was sent by Atlassian Jira
(v8.20.1#820001)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org