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https://issues.apache.org/jira/browse/KYLIN-1068?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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liyang updated KYLIN-1068:
--------------------------
    Sprint:   (was: Sprint 49)

> Optimize the memory footprint for TopN counter
> ----------------------------------------------
>
>                 Key: KYLIN-1068
>                 URL: https://issues.apache.org/jira/browse/KYLIN-1068
>             Project: Kylin
>          Issue Type: Improvement
>          Components: Job Engine
>    Affects Versions: v1.4.0
>            Reporter: Shaofeng SHI
>            Assignee: Shaofeng SHI
>             Fix For: v1.4.0
>
>
> The TopN implementation in StreamSummary is not perfect for Kylin, as Kylin 
> use a Double typed counter; In a big data scenario, the possibility of 
> multiple key having the same double counter is very low, so the data 
> structure may not be memory economic;



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