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https://issues.apache.org/jira/browse/TAJO-472?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13861125#comment-13861125
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Hyunsik Choi commented on TAJO-472:
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++1 for this idea.
That idea sounds very cool and reasonable for me. That approach will boost
Tajo's performance. I'm looking forward to seeing the proposal.
> Umbrella ticket for accelerating query speed through memory cached table
> ------------------------------------------------------------------------
>
> Key: TAJO-472
> URL: https://issues.apache.org/jira/browse/TAJO-472
> Project: Tajo
> Issue Type: New Feature
> Components: distributed query plan, physical operator
> Reporter: Min Zhou
> Assignee: Min Zhou
>
> Previously, I was involved as a technical expert into an in-memory database
> for on-line businesses in Alibaba group. That's an internal project, which
> can do group by aggregation on billions of rows in less than 1 second.
> I'd like to apply this technology into tajo, make it much faster than it is.
> From some benchmark, we believe that spark&shark currently is the fastest
> solution among all the open source interactive query system , such as impala,
> presto, tajo. The main reason is that it benefit from in-memory data.
> I will take memory cached table as my first step to accelerate query speed
> of tajo. Actually , this is the reason why I concerned at table partition
> during Xmas and new year holidays.
> Will submit a proposal soon.
>
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