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https://issues.apache.org/jira/browse/FLINK-17170?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Arvid Heise resolved FLINK-17170.
---------------------------------
Fix Version/s: 1.12.4
1.13.1
1.14.0
Resolution: Fixed
> Cannot stop streaming job with savepoint which uses kinesis consumer
> --------------------------------------------------------------------
>
> Key: FLINK-17170
> URL: https://issues.apache.org/jira/browse/FLINK-17170
> Project: Flink
> Issue Type: Bug
> Components: API / DataStream, Connectors / Kinesis
> Affects Versions: 1.10.0, 1.11.3, 1.12.2
> Reporter: Vasii Cosmin Radu
> Assignee: Arvid Heise
> Priority: Critical
> Labels: pull-request-available, usability
> Fix For: 1.14.0, 1.13.1, 1.12.4
>
> Attachments: Screenshot 2020-04-15 at 18.16.26.png, threaddump_tm1
>
>
> I am encountering a very strange situation where I can't stop with savepoint
> a streaming job.
> The job reads from kinesis and sinks to S3, very simple job, no mapping
> function, no watermarks, just source->sink.
> Source is using flink-kinesis-consumer, sink is using StreamingFileSink.
> Everything works fine, except stopping the job with savepoints.
> The behaviour happens only when multiple task managers are involved, having
> sub-tasks off the job spread across multiple task manager instances. When a
> single task manager has all the sub-tasks this issue never occurred.
> Using latest Flink 1.10.0 version, deployment done in HA mode (2 job
> managers), in EC2, savepoints and checkpoints written on S3.
> When trying to stop, the savepoint is created correctly and appears on S3,
> but not all sub-tasks are stopped. Some of them finished, but some just
> remain hanged. Sometimes, on the same task manager part of the sub-tasks are
> finished, part aren't.
> The logs don't show any errors. For the ones that succeed, the standard
> messages appear, with "Source: <....> switched from RUNNING to FINISHED".
> For the sub-tasks hanged the last message is
> "org.apache.flink.streaming.connectors.kinesis.internals.KinesisDataFetcher -
> Shutting down the shard consumer threads of subtask 0 ..." and that's it.
>
> I tried using the cli (flink stop <job_id>)
> Timeout Message:
> {code:java}
> root@ec2-XX-XX-XX-XX:/opt/flink/current/bin# ./flink stop
> cf43cecd9339e8f02a12333e52966a25
> root@ec2-XX-XX-XX-XX:/opt/flink/current/bin# ./flink stop
> cf43cecd9339e8f02a12333e52966a25Suspending job
> "cf43cecd9339e8f02a12333e52966a25" with a savepoint.
> ------------------------------------------------------------ The program
> finished with the following exception: org.apache.flink.util.FlinkException:
> Could not stop with a savepoint job "cf43cecd9339e8f02a12333e52966a25". at
> org.apache.flink.client.cli.CliFrontend.lambda$stop$5(CliFrontend.java:462)
> at
> org.apache.flink.client.cli.CliFrontend.runClusterAction(CliFrontend.java:843)
> at org.apache.flink.client.cli.CliFrontend.stop(CliFrontend.java:454) at
> org.apache.flink.client.cli.CliFrontend.parseParameters(CliFrontend.java:907)
> at
> org.apache.flink.client.cli.CliFrontend.lambda$main$10(CliFrontend.java:968)
> at java.security.AccessController.doPrivileged(Native Method) at
> javax.security.auth.Subject.doAs(Subject.java:422) at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1682)
> at
> org.apache.flink.runtime.security.HadoopSecurityContext.runSecured(HadoopSecurityContext.java:41)
> at org.apache.flink.client.cli.CliFrontend.main(CliFrontend.java:968)Caused
> by: java.util.concurrent.TimeoutException at
> java.util.concurrent.CompletableFuture.timedGet(CompletableFuture.java:1784)
> at java.util.concurrent.CompletableFuture.get(CompletableFuture.java:1928) at
> org.apache.flink.client.cli.CliFrontend.lambda$stop$5(CliFrontend.java:460)
> ... 9 more{code}
>
> Using the monitoring api, I keep getting infinite message when querying based
> on the savepoint id, that the status id is still "IN_PROGRESS".
>
> When performing a cancel instead of stop, it works. But cancel is deprecated,
> so I am a bit concerned that this might fail also, maybe I was just lucky.
>
> I attached a screenshot with what the UI is showing when this happens
>
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