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https://issues.apache.org/jira/browse/KUDU-2671?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17571962#comment-17571962
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ASF subversion and git services commented on KUDU-2671:
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Commit df51b540bb1f5fb40790389b77a90df589bf1363 in kudu's branch 
refs/heads/master from Alexey Serbin
[ https://gitbox.apache.org/repos/asf?p=kudu.git;h=df51b540b ]

[c++-client] KUDU-2671 more tests for unbounded ranges (CreateTable)

This patch adds more tests for Kudu C++ client covering the paths
involving CreateTable RPC for tables with unbounded ranges having custom
hash schemas.

Change-Id: I584f613ddf3341156d02c4e7c9603b71584cfcf4
Reviewed-on: http://gerrit.cloudera.org:8080/18775
Reviewed-by: Mahesh Reddy <mre...@cloudera.com>
Tested-by: Kudu Jenkins
Reviewed-by: Yingchun Lai <acelyc1112...@gmail.com>
Reviewed-by: Attila Bukor <abu...@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
>         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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