[ https://issues.apache.org/jira/browse/FLINK-17178?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17085033#comment-17085033 ]
Jark Wu commented on FLINK-17178: --------------------------------- Yes. That is mentioned in the issue description. I'm not saying I agree with this approach. I just want to point, users need the fresh data. So joining static data may not fit users' need. > Provide "ALL" cache strategy in LookupFunction > ----------------------------------------------- > > Key: FLINK-17178 > URL: https://issues.apache.org/jira/browse/FLINK-17178 > Project: Flink > Issue Type: New Feature > Components: Connectors / Common > Reporter: Lijie Wang > Priority: Major > > We provide "ALL" cache strategy mentioned in FLINK-13252, motivation as > follow: > Maintain the entire dimension table in memory to improve performance. There > is no IO overhead when we lookup the cached table. Reload dimension table > periodically for update, and we can reload asynchronously with little IO > delay. -- This message was sent by Atlassian Jira (v8.3.4#803005)