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Posted to issues@flink.apache.org by "Kurt Young (JIRA)" <ji...@apache.org> on 2019/01/30 10:25:00 UTC

[jira] [Closed] (FLINK-5859) support partition pruning on Table API & SQL

     [ https://issues.apache.org/jira/browse/FLINK-5859?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Kurt Young closed FLINK-5859.
-----------------------------
    Resolution: Unresolved

> support partition pruning on Table API & SQL
> --------------------------------------------
>
>                 Key: FLINK-5859
>                 URL: https://issues.apache.org/jira/browse/FLINK-5859
>             Project: Flink
>          Issue Type: New Feature
>          Components: Table API &amp; SQL
>            Reporter: godfrey he
>            Assignee: godfrey he
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 0.5h
>  Remaining Estimate: 0h
>
> Many data sources are partitionable storage, e.g. HDFS, Druid. And many queries just need to read a small subset of the total data. We can use partition information to prune or skip over files irrelevant to the user’s queries. Both query optimization time and execution time can be reduced obviously, especially for a large partitioned table.



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