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https://issues.apache.org/jira/browse/FLINK-3190?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15291432#comment-15291432
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ASF GitHub Bot commented on FLINK-3190:
---------------------------------------

GitHub user fijolekProjects reopened a pull request:

    https://github.com/apache/flink/pull/1954

    [FLINK-3190] failure rate restart strategy

    Failure rate restart strategy - job should only die, if it fails too often 
in a given time frame

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/fijolekProjects/flink FLINK-3190

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/flink/pull/1954.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #1954
    
----
commit 1c78e8cbee8cc842daac3bd72891dbf7a515bf21
Author: Michal Fijolek <michalfijole...@gmail.com>
Date:   2016-03-13T00:40:15Z

    [FLINK-3190] failure rate restart strategy

----


> Retry rate limits for DataStream API
> ------------------------------------
>
>                 Key: FLINK-3190
>                 URL: https://issues.apache.org/jira/browse/FLINK-3190
>             Project: Flink
>          Issue Type: Improvement
>            Reporter: Sebastian Klemke
>            Assignee: Michał Fijołek
>            Priority: Minor
>
> For a long running stream processing job, absolute numbers of retries don't 
> make much sense: The job will accumulate transient errors over time and will 
> die eventually when thresholds are exceeded. Rate limits are better suited in 
> this scenario: A job should only die, if it fails too often in a given time 
> frame. To better overcome transient errors, retry delays could be used, as 
> suggested in other issues.
> Absolute numbers of retries can still make sense, if failing operators don't 
> make any progress at all. We can measure progress by OperatorState changes 
> and by observing output, as long as the operator in question is not a sink. 
> If operator state changes and/or operator produces output, we can assume it 
> makes progress.
> As an example, let's say we configured a retry rate limit of 10 retries per 
> hour and a non-sink operator A. If the operator fails once every 10 minutes 
> and produces output between failures, it should not lead to job termination. 
> But if the operator fails 11 times in an hour or does not produce output 
> between 11 consecutive failures, job should be terminated.



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