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https://issues.apache.org/jira/browse/SPARK-44817?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17757539#comment-17757539
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Rakesh Raushan commented on SPARK-44817:
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Sure. I would try to come up with a SPIP by this weekend.
> Incremental Stats Collection
> ----------------------------
>
> Key: SPARK-44817
> URL: https://issues.apache.org/jira/browse/SPARK-44817
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.5.0, 4.0.0
> Reporter: Rakesh Raushan
> Priority: Major
>
> Spark's Cost Based Optimizer is dependent on the table and column statistics.
> After every execution of DML query, table and column stats are invalidated if
> auto update of stats collection is not turned on. To keep stats updated we
> need to run `ANALYZE TABLE COMPUTE STATISTICS` command which is very
> expensive. It is not feasible to run this command after every DML query.
> Instead, we can incrementally update the stats during each DML query run
> itself. This way our table and column stats would be fresh at all the time
> and CBO benefits can be applied. Initially, we can only update table level
> stats and gradually start updating column level stats as well.
> *Pros:*
> 1. Optimize queries over table which is updated frequently.
> 2. Saves Compute cycles by removing dependency over `ANALYZE TABLE COMPUTE
> STATISTICS` for updating stats.
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