You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@kylin.apache.org by "ASF subversion and git services (JIRA)" <ji...@apache.org> on 2018/06/11 07:52:00 UTC

[jira] [Commented] (KYLIN-2932) Simplify the thread model for in-memory cubing

    [ https://issues.apache.org/jira/browse/KYLIN-2932?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16507777#comment-16507777 ] 

ASF subversion and git services commented on KYLIN-2932:
--------------------------------------------------------

Commit 9f64f04f96105b0722b7af4e4e7fd89f66d8905f in kylin's branch refs/heads/KYLIN-2932-master from U-CORP\\\\mingmwang
[ https://gitbox.apache.org/repos/asf?p=kylin.git;h=9f64f04 ]

APACHE-KYLIN-2932: Simplify the thread model for in-memory cubing

Signed-off-by: shaofengshi <sh...@apache.org>


> Simplify the thread model for in-memory cubing
> ----------------------------------------------
>
>                 Key: KYLIN-2932
>                 URL: https://issues.apache.org/jira/browse/KYLIN-2932
>             Project: Kylin
>          Issue Type: Improvement
>          Components: Job Engine
>            Reporter: Wang Ken
>            Assignee: Wang Ken
>            Priority: Major
>             Fix For: v2.4.0
>
>         Attachments: APACHE-KYLIN-2932.patch
>
>
> The current implementation uses split threads, task threads and main thread to do the cube building, there is complex join and error handling logic.
> The new implement leverages the ForkJoinPool from JDK,  the event split logic is handled in
> main thread. Cuboid task and sub-tasks are handled in fork join pool, cube results are collected
> async and can be write to output earlier.



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)