[
https://issues.apache.org/jira/browse/FLINK-25218?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17456375#comment-17456375
]
Martijn Visser commented on FLINK-25218:
----------------------------------------
It would be helpful if someone can explain what's the problem that is
encountered, especially since there are already caching options available for
different lookup connectors like JDBC and HBase.
> Performance issues with lookup join accessing external dimension tables
> ------------------------------------------------------------------------
>
> Key: FLINK-25218
> URL: https://issues.apache.org/jira/browse/FLINK-25218
> Project: Flink
> Issue Type: Improvement
> Components: Table SQL / API
> Affects Versions: 1.15.0
> Reporter: ZhuoYu Chen
> Priority: Major
>
> Current lookup join: for each input data, access the external dimension table
> to get the result and output a data
> Implement a lookup join that can improve performance by batching and delaying
--
This message was sent by Atlassian Jira
(v8.20.1#820001)