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https://issues.apache.org/jira/browse/KUDU-2671?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17571999#comment-17571999
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ASF subversion and git services commented on KUDU-2671:
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Commit 3b91db407d9973f154567e0b280f7fe39899c557 in kudu's branch
refs/heads/master from Alexey Serbin
[ https://gitbox.apache.org/repos/asf?p=kudu.git;h=3b91db407 ]
[java] KUDU-2671 fix bug in PartitionSchema::getHashSchemaForRange()
This patch fixes a bug in PartitionSchema::getHashSchemaForRange()
that manifested itself when a right-side unbounded range with custom
hash schema was present in a table.
The patch also contains test scenarios that allowed to see the
manifestation of the bug before the fix; from now they allow to spot
regressions in the corresponding code, if any. These scenarios cover
both {Create,Alter}Table code paths when adding right-side unbounded
ranges with custom hash schemas.
Change-Id: Ib0ef5bbe4528ce5c1d4c9591a8152cf7ec4af0bb
Reviewed-on: http://gerrit.cloudera.org:8080/18782
Tested-by: Kudu Jenkins
Reviewed-by: Attila Bukor <[email protected]>
> 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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