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https://issues.apache.org/jira/browse/KYLIN-3186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16548903#comment-16548903
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ASF subversion and git services commented on KYLIN-3186:
--------------------------------------------------------

Commit 4b5fe6de6278f54751ed9a58c336b133895b05c9 in kylin's branch 
refs/heads/master from Emiya0306
[ https://gitbox.apache.org/repos/asf?p=kylin.git;h=4b5fe6d ]

KYLIN-3186 add partition_time other feature, abstract the 
'initialPartitionSetting' method and enable the partition format editable of 
all data type

- enable the partition format editable of all data type
- optimize stylesheet for responsive style
- add partition_time other feature and abstract the 'initialPartitionSetting' 
method but not enabled


> Add support for partitioning columns that combine date and time (e.g. 
> YYYYMMDDHHMISS)
> -------------------------------------------------------------------------------------
>
>                 Key: KYLIN-3186
>                 URL: https://issues.apache.org/jira/browse/KYLIN-3186
>             Project: Kylin
>          Issue Type: Improvement
>          Components: Others
>    Affects Versions: v2.2.0
>            Reporter: Vsevolod Ostapenko
>            Priority: Major
>             Fix For: v2.5.0
>
>
> In a multitude of existing enterprise applications partitioning is done on a 
> single column that fuse date and time into a single value (string, integer or 
> big integer). Typical formats are YYYYMMDDHHMM or  YYYYMMDDHHMMSS (e.g. 
> 201801181621 and 20180118154734).
> Such representation is human readable and provides natural sorting of the 
> date/time values.
> Lack of support for such date/time representation requires some ugly 
> workarounds, like creating views that split date and time into separate 
> columns or data copying into tables with different partitioning scheme, none 
> of which is a particularly good solution.
> More over, using views approach on Hive causes severe performance issues, due 
> to inability of Hive optimizer correctly analyze filtering conditions 
> auto-generated by Kylin during the flat table build step.



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