Shaofeng SHI created KYLIN-1068:
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Summary: 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: v2.0
Reporter: Shaofeng SHI
Assignee: Shaofeng SHI
Fix For: v2.0
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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