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https://issues.apache.org/jira/browse/FLINK-8973?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16415290#comment-16415290
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ASF GitHub Bot commented on FLINK-8973:
---------------------------------------

Github user twalthr commented on a diff in the pull request:

    https://github.com/apache/flink/pull/5750#discussion_r177356523
  
    --- Diff: 
flink-examples/flink-examples-streaming/src/main/java/org/apache/flink/streaming/examples/statemachine/StateMachineExample.java
 ---
    @@ -105,7 +131,7 @@ public static void main(String[] args) throws Exception 
{
                                .flatMap(new StateMachineMapper());
     
                // output the alerts to std-out
    -           alerts.print();
    +           alerts.writeAsText(outputFile, FileSystem.WriteMode.OVERWRITE);
    --- End diff --
    
    Do we really need to change this? `test_resume_savepoint.sh` does not 
change the example.


> End-to-end test: Run general purpose job with failures in standalone mode
> -------------------------------------------------------------------------
>
>                 Key: FLINK-8973
>                 URL: https://issues.apache.org/jira/browse/FLINK-8973
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Tests
>    Affects Versions: 1.5.0
>            Reporter: Till Rohrmann
>            Assignee: Kostas Kloudas
>            Priority: Blocker
>             Fix For: 1.5.0
>
>
> We should set up an end-to-end test which runs the general purpose job 
> (FLINK-8971) in a standalone setting with HA enabled (ZooKeeper). When 
> running the job, the job failures should be activated. 
> Additionally, we should randomly kill Flink processes (cluster entrypoint and 
> TaskExecutors). When killing them, we should also spawn new processes to make 
> up for the loss.
> This end-to-end test case should run with all different state backend 
> settings: {{RocksDB}} (full/incremental, async/sync), {{FsStateBackend}} 
> (sync/async)
> We should then verify that the general purpose job is successfully recovered 
> without data loss or other failures.



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