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)