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https://issues.apache.org/jira/browse/FLINK-17178?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17085349#comment-17085349
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Benchao Li commented on FLINK-17178:
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[~jark] [~ykt836] we met this need in our company too. There is indeed a
scenario that users don't care the lateness so much, periodically updating can
satisfy them. And this has a limitation that the dimension table should be
small enough such as 10k - 100k.
And users resolved this issue by themselves by implementing a UDF to do this.
> 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.
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