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https://issues.apache.org/jira/browse/BEAM-5110?focusedWorklogId=132764&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-132764
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ASF GitHub Bot logged work on BEAM-5110:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 08/Aug/18 23:16
            Start Date: 08/Aug/18 23:16
    Worklog Time Spent: 10m 
      Work Description: bsidhom commented on a change in pull request #6189: 
[BEAM-5110] Explicitly count the references for 
BatchFlinkExecutableStageContext …
URL: https://github.com/apache/beam/pull/6189#discussion_r208763438
 
 

 ##########
 File path: 
runners/flink/src/main/java/org/apache/beam/runners/flink/translation/functions/FlinkExecutableStageContext.java
 ##########
 @@ -32,11 +32,23 @@
    * defined at translation time and distributed to TaskManagers.
    */
   interface Factory extends Serializable {
+
+    /**
+     * Get or create {@link FlinkExecutableStageContext} for given {@link 
JobInfo}. {@link
+     * Factory#release(JobInfo)} should be called for each get request for the 
jobInfo.
+     */
     FlinkExecutableStageContext get(JobInfo jobInfo);
+
+    /**
+     * Release the context for the jobInfo. This method should be called for 
each call to {@link
+     * Factory#get(JobInfo)}. This method should always be called after the 
call to {@link
+     * Factory#get(JobInfo)} is completed.
+     */
+    void release(JobInfo jobInfo);
 
 Review comment:
   I prefer `close()` as that allows us to idiomatically us a 
try-with-resources block. However, this should _not_ live on the factory 
itself, but on the Context that is returned. Doing so would be less error prone 
for clients.
   
   The main difficulty is that instead of returning a direct reference to a 
cached context, the refcounted cache instead needs to return a refcounting 
wrapper around the underlying implementation. Doing so would have the added 
benefit of allowing us to prevent double-decrements and could allow us to make 
close() idempotent.

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Issue Time Tracking
-------------------

    Worklog Id:     (was: 132764)
    Time Spent: 0.5h  (was: 20m)

> Reconile Flink JVM singleton management with deployment
> -------------------------------------------------------
>
>                 Key: BEAM-5110
>                 URL: https://issues.apache.org/jira/browse/BEAM-5110
>             Project: Beam
>          Issue Type: Bug
>          Components: runner-flink
>            Reporter: Ben Sidhom
>            Assignee: Ben Sidhom
>            Priority: Major
>          Time Spent: 0.5h
>  Remaining Estimate: 0h
>
> [~angoenka] noticed through debugging that multiple instances of 
> BatchFlinkExecutableStageContext.BatchFactory are loaded for a given job when 
> executing in standalone cluster mode. This context factory is responsible for 
> maintaining singleton state across a TaskManager (JVM) in order to share SDK 
> Environments across workers in a given job. The multiple-loading breaks 
> singleton semantics and results in an indeterminate number of Environments 
> being created.
> It turns out that the [Flink classloading 
> mechanism|https://ci.apache.org/projects/flink/flink-docs-release-1.5/monitoring/debugging_classloading.html]
>  is determined by deployment mode. Note that "user code" as referenced by 
> this link is actually the Flink job server jar. Actual end-user code lives 
> inside of the SDK Environment and uploaded artifacts.
> In order to maintain singletons without resorting to IPC (for example, using 
> file locks and/or additional gRPC servers), we need to force non-dynamic 
> classloading. For example, this happens when jobs are submitted to YARN for 
> one-off deployments via `flink run`. However, connecting to an existing 
> (Flink standalone) deployment results in dynamic classloading.
> We should investigate this behavior and either document (and attempt to 
> enforce) deployment modes that are consistent with our requirements, or (if 
> possible) create a custom classloader that enforces singleton loading.



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