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https://issues.apache.org/jira/browse/KUDU-2671?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17413475#comment-17413475
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ASF subversion and git services commented on KUDU-2671:
-------------------------------------------------------

Commit 966cc2c102e9eacc811d9e0c02cb8404f0b74b23 in kudu's branch 
refs/heads/master from Mahesh Reddy
[ https://gitbox.apache.org/repos/asf?p=kudu.git;h=966cc2c ]

KUDU-2671: Pruning compatible with unbounded ranges.

This patch fixes an edge case where the absolute upper range
bound is unbounded. An existing test case is updated making both
the absoute lower and absolute upper range bounds unbounded.

Change-Id: Ic11bc7ceac7f3863c9d7e3440813f1faa3860b8e
Reviewed-on: http://gerrit.cloudera.org:8080/17841
Reviewed-by: Alexey Serbin <aser...@cloudera.com>
Tested-by: Alexey Serbin <aser...@cloudera.com>


> Change hash number for range partitioning
> -----------------------------------------
>
>                 Key: KUDU-2671
>                 URL: https://issues.apache.org/jira/browse/KUDU-2671
>             Project: Kudu
>          Issue Type: Improvement
>          Components: client, java, master, server
>    Affects Versions: 1.8.0
>            Reporter: yangz
>            Assignee: Mahesh Reddy
>            Priority: Major
>              Labels: feature, roadmap-candidate, scalability
>         Attachments: 屏幕快照 2019-01-24 下午12.03.41.png
>
>
> For our usage, the kudu schema design isn't flexible enough.
> We create our table for day range such as dt='20181112' as hive table.
> But our data size change a lot every day, for one day it will be 50G, but for 
> some other day it will be 500G. For this case, it be hard to set the hash 
> schema. If too big, for most case, it will be too wasteful. But too small, 
> there is a performance problem in the case of a large amount of data.
>  
> So we suggest a solution we can change the hash number by the history data of 
> a table.
> for example
>  # we create schema with one estimated value.
>  # we collect the data size by day range
>  # we create new day range partition by our collected day size.
> We use this feature for half a year, and it work well. We hope this feature 
> will be useful for the community. Maybe the solution isn't so complete. 
> Please help us make it better.



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