You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@flink.apache.org by "godfrey he (JIRA)" <ji...@apache.org> on 2017/02/21 02:58:44 UTC

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

godfrey he created FLINK-5859:
---------------------------------

             Summary: 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 & SQL
            Reporter: godfrey he
            Assignee: godfrey he


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.




--
This message was sent by Atlassian JIRA
(v6.3.15#6346)