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https://issues.apache.org/jira/browse/FLINK-6521?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16108362#comment-16108362
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ASF GitHub Bot commented on FLINK-6521:
---------------------------------------
Github user zjureel commented on the issue:
https://github.com/apache/flink/pull/4376
I found the following kinda stuff from CI, and it seems not relevant to
this issue, what do you think? @tillrohrmann
```
Running org.apache.flink.test.recovery.JobManagerHACheckpointRecoveryITCase
java.lang.RuntimeException: org.apache.zookeeper.server.ZooKeeperServer
class is frozen
at javassist.CtClassType.checkModify(CtClassType.java:288)
at javassist.CtBehavior.setBody(CtBehavior.java:432)
at javassist.CtBehavior.setBody(CtBehavior.java:412)
at
org.apache.curator.test.ByteCodeRewrite.fixMethods(ByteCodeRewrite.java:91)
at
org.apache.curator.test.ByteCodeRewrite.<clinit>(ByteCodeRewrite.java:50)
at org.apache.curator.test.TestingServer.<clinit>(TestingServer.java:33)
at
org.apache.flink.test.recovery.JobManagerHACheckpointRecoveryITCase.testCheckpointedStreamingProgram(JobManagerHACheckpointRecoveryITCase.java:350)
at
org.apache.flink.test.recovery.JobManagerHACheckpointRecoveryITCase.testCheckpointedStreamingProgramIncrementalRocksDB(JobManagerHACheckpointRecoveryITCase.java:336)
```
> Add per job cleanup methods to HighAvailabilityServices
> -------------------------------------------------------
>
> Key: FLINK-6521
> URL: https://issues.apache.org/jira/browse/FLINK-6521
> Project: Flink
> Issue Type: Improvement
> Components: Distributed Coordination
> Affects Versions: 1.3.0, 1.4.0
> Reporter: Till Rohrmann
> Assignee: Fang Yong
>
> The {{HighAvailabilityServices}} are used to manage services and persistent
> state at a single point. This also entails the cleanup of data used for HA.
> So far the {{HighAvailabilityServices}} can only clean up the data for all
> stored jobs. In order to support cluster sessions, we have to extend this
> functionality to selectively delete data for single jobs. This is necessary
> to keep data for failed jobs and delete data for successfully executed jobs.
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