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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-10205) Batch Job: InputSplit Fault tolerant for DataSourceTask
Date Wed, 17 Oct 2018 07:26:00 GMT

    [ https://issues.apache.org/jira/browse/FLINK-10205?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16653116#comment-16653116
] 

ASF GitHub Bot commented on FLINK-10205:
----------------------------------------

TisonKun commented on issue #6684:     [FLINK-10205] Batch Job: InputSplit Fault tolerant
for DataSource…
URL: https://github.com/apache/flink/pull/6684#issuecomment-430519357
 
 
   @tillrohrmann I would recur what @isunjin and @wenlong88 emphasize:
   
   > @wenlong88: the framework do not know how the input assigner assign splits to subtask
and we can't reconstruct the assigner in region failover
   > @isunjin: otherwise the logic to make data consistent is complicated
   
   For implementation, we can record the input split assigned to the task on assigning, and
this is the most general way. We can, conceptually, think as if the input split be processed
by any one task, but technically, @isunjin 's implementation is a concise one.

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> Batch Job: InputSplit Fault tolerant for DataSourceTask
> -------------------------------------------------------
>
>                 Key: FLINK-10205
>                 URL: https://issues.apache.org/jira/browse/FLINK-10205
>             Project: Flink
>          Issue Type: Sub-task
>          Components: JobManager
>    Affects Versions: 1.6.1, 1.7.0, 1.6.2
>            Reporter: JIN SUN
>            Assignee: JIN SUN
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 1.7.0
>
>   Original Estimate: 168h
>  Remaining Estimate: 168h
>
> Today DataSource Task pull InputSplits from JobManager to achieve better performance,
however, when a DataSourceTask failed and rerun, it will not get the same splits as its previous
version. this will introduce inconsistent result or even data corruption.
> Furthermore,  if there are two executions run at the same time (in batch scenario),
this two executions should process same splits.
> we need to fix the issue to make the inputs of a DataSourceTask deterministic. The propose
is save all splits into ExecutionVertex and DataSourceTask will pull split from there.
>  document:
> [https://docs.google.com/document/d/1FdZdcA63tPUEewcCimTFy9Iz2jlVlMRANZkO4RngIuk/edit?usp=sharing]



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