[ 
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)

Reply via email to