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Posted to issues@flink.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2019/06/11 13:50:00 UTC

[jira] [Updated] (FLINK-12805) Introduce PartitionableTableSource for partition pruning

     [ https://issues.apache.org/jira/browse/FLINK-12805?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated FLINK-12805:
-----------------------------------
    Labels: pull-request-available  (was: )

> Introduce PartitionableTableSource for partition pruning
> --------------------------------------------------------
>
>                 Key: FLINK-12805
>                 URL: https://issues.apache.org/jira/browse/FLINK-12805
>             Project: Flink
>          Issue Type: New Feature
>          Components: Table SQL / API
>            Reporter: Jark Wu
>            Assignee: Jark Wu
>            Priority: Major
>              Labels: pull-request-available
>
> Many data sources are partitionable storage, e.g. HIVE, 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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