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https://issues.apache.org/jira/browse/KUDU-2671?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17850130#comment-17850130
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ASF subversion and git services commented on KUDU-2671:
-------------------------------------------------------

Commit cf550d6d7cdd61f6c65f9ef75a1706cb91839876 in kudu's branch 
refs/heads/master from Mahesh Reddy
[ https://gitbox.apache.org/repos/asf?p=kudu.git;h=cf550d6d7 ]

KUDU-2671: Update upstream docs

This patch updates the upstream docs to include range specific
hash schemas within the partitioning section. An example
with the proper sql syntax is also included in the kudu impala
integration doc.

Change-Id: I8da554851a124d1d357be65d8bcc2c6c37875dcc
Reviewed-on: http://gerrit.cloudera.org:8080/21108
Tested-by: Kudu Jenkins
Reviewed-by: Alexey Serbin <ale...@apache.org>


> 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
>             Fix For: 1.17.0
>
>         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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