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From "zhu.qing (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (FLINK-8526) When use parallelism equals to half of the taskslot, join and shuffle operator will easly caused deadlock.
Date Wed, 31 Jan 2018 02:38:00 GMT

     [ https://issues.apache.org/jira/browse/FLINK-8526?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

zhu.qing updated FLINK-8526:
----------------------------
    Summary: When use parallelism equals to half of the taskslot, join and shuffle operator
will easly caused deadlock.  (was: When use some parallelism, the program will stuck in some
setting. )

> When use parallelism equals to half of the taskslot, join and shuffle operator will easly
caused deadlock.
> ----------------------------------------------------------------------------------------------------------
>
>                 Key: FLINK-8526
>                 URL: https://issues.apache.org/jira/browse/FLINK-8526
>             Project: Flink
>          Issue Type: Bug
>          Components: Cluster Management, Java API, Local Runtime
>    Affects Versions: 1.4.0
>         Environment: 8 machines(96GB and 24 cores)  and 20 taskslot per taskmanager.
twitter-2010 dataset. And parallelism setting to 80. I run my code in standalone mode. 
>            Reporter: zhu.qing
>            Priority: Major
>         Attachments: T2AdjActiveV.java, T2AdjMessage.java
>
>   Original Estimate: 72h
>  Remaining Estimate: 72h
>
> The next program attached will stuck at some special parallelism in some situation. When
parallelism is 80 in previous setting, The program will always stuck. And when parallelism
is 100, everything goes well.  According to my research I found when the parallelism equals
to number of taskslots. The program is not fastest and probably caused network buffer not
enough. How networker buffer related to parallelism and  how parallelism relate to running
task (In other words we have 160 taskslots but running task can be far more than taskslots).



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