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https://issues.apache.org/jira/browse/BEAM-9474?focusedWorklogId=400862&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-400862
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ASF GitHub Bot logged work on BEAM-9474:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 10/Mar/20 17:14
            Start Date: 10/Mar/20 17:14
    Worklog Time Spent: 10m 
      Work Description: tweise commented on pull request #11084: [BEAM-9474] 
Improve robustness of BundleFactory and ProcessEnvironment
URL: https://github.com/apache/beam/pull/11084#discussion_r390477363
 
 

 ##########
 File path: 
runners/java-fn-execution/src/main/java/org/apache/beam/runners/fnexecution/control/DefaultJobBundleFactory.java
 ##########
 @@ -375,6 +428,11 @@ public RemoteBundle getBundle(
         }
       }
 
+      // Ensure client is referenced for this bundle, unref in close()
+      client.ref();
+      // Cleanup list of clients which were active during eviction but now do 
not hold references
+      evictedActiveClients.removeIf(c -> c.bundleRefCount.get() <= 0);
 
 Review comment:
   I'm not sure I like this in the path for every bundle. We could probably 
move it below line 416 (`preparedClients.keySet().removeIf(c -> 
c.bundleRefCount.get() <= 0);`) 
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 400862)
    Time Spent: 3.5h  (was: 3h 20m)

> Environment cleanup is not robust enough and may leak resources
> ---------------------------------------------------------------
>
>                 Key: BEAM-9474
>                 URL: https://issues.apache.org/jira/browse/BEAM-9474
>             Project: Beam
>          Issue Type: Bug
>          Components: java-fn-execution
>            Reporter: Maximilian Michels
>            Assignee: Maximilian Michels
>            Priority: Major
>          Time Spent: 3.5h
>  Remaining Estimate: 0h
>
> The cleanup code in {{DefaultJobBundleFactory}} and its {{RemoteEnvironment}} 
> s may leak resources. This is especially a concern when the execution engines 
> reuses the same JVM or underlying machines for multiple runs of a pipeline.



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