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https://issues.apache.org/jira/browse/FLINK-11139?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16727258#comment-16727258
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Hequn Cheng commented on FLINK-11139:
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[~fhueske] Thanks for the reminder. Yes it will add 8 bytes per stored value. I
think we should do a trade-off between OOM and the performance regression.
[~zhaoshijie] Do you have some performance tests? Would be great if you can
provide some information about the influences on performance.
Best, Hequn
> stream non window join support state ttl
> ----------------------------------------
>
> Key: FLINK-11139
> URL: https://issues.apache.org/jira/browse/FLINK-11139
> Project: Flink
> Issue Type: Improvement
> Components: Table API & SQL
> Affects Versions: 1.7.0
> Reporter: zhaoshijie
> Assignee: zhaoshijie
> Priority: Major
>
> stream non window join function use timer to delete expired data，it is ok for
> small amount of data or short expiration time，but it will be OOM（too many
> timer）on taskManger when there is a long expiration time and a large
> amount of data。In fact, table module other state function has same problem，I
> would like to contribute to fix it。
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