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https://issues.apache.org/jira/browse/BEAM-9474?focusedWorklogId=400420&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-400420
 ]

ASF GitHub Bot logged work on BEAM-9474:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 09/Mar/20 22:35
            Start Date: 09/Mar/20 22:35
    Worklog Time Spent: 10m 
      Work Description: mxm commented on pull request #11084: [BEAM-9474] 
Improve robustness of BundleFactory and ProcessEnvironment
URL: https://github.com/apache/beam/pull/11084#discussion_r389998961
 
 

 ##########
 File path: 
runners/java-fn-execution/src/main/java/org/apache/beam/runners/fnexecution/environment/ProcessManager.java
 ##########
 @@ -186,31 +186,28 @@ private void stopProcess(String id, Process process) {
       LOG.debug("Attempting to stop process with id {}", id);
       // first try to kill gracefully
       process.destroy();
-      long maxTimeToWait = 2000;
-      if (waitForProcessToDie(process, maxTimeToWait)) {
-        LOG.debug("Process for worker {} shut down gracefully.", id);
-      } else {
-        LOG.info("Process for worker {} still running. Killing.", id);
-        process.destroyForcibly();
+      long maxTimeToWait = 500;
 
 Review comment:
   The old timeout was too long.
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 400420)
    Time Spent: 1h 50m  (was: 1h 40m)

> 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: 1h 50m
>  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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