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https://issues.apache.org/jira/browse/GOBBLIN-1728?focusedWorklogId=818953&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-818953
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ASF GitHub Bot logged work on GOBBLIN-1728:
-------------------------------------------

                Author: ASF GitHub Bot
            Created on: 20/Oct/22 21:46
            Start Date: 20/Oct/22 21:46
    Worklog Time Spent: 10m 
      Work Description: homatthew commented on code in PR #3586:
URL: https://github.com/apache/gobblin/pull/3586#discussion_r1001148782


##########
gobblin-yarn/src/main/java/org/apache/gobblin/yarn/YarnService.java:
##########
@@ -845,8 +877,6 @@ public void onContainersAllocated(List<Container> 
containers) {
               instanceName = null;
             }
           }
-          allocatedContainerCountMap.put(containerHelixTag,

Review Comment:
   Turns out it is thread safe to iterate over concurrent hash set. 
https://stackoverflow.com/questions/56099744/java-concurrenthashset-iterating-over-it-in-a-multi-threaded-environment
   
   And the reason for the lock / synchronized block is because if multiple 
threads are iterating over the same concurrent hashset and one of the threads 
calls remove, then since the iterator is essentially a snapshot they could each 
re-use the same helix instance.
   
   The sync block makes the removal process completely thread safe





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

    Worklog Id:     (was: 818953)
    Time Spent: 4h 10m  (was: 4h)

> Yarn Service requests too many containers due to improper calculation
> ---------------------------------------------------------------------
>
>                 Key: GOBBLIN-1728
>                 URL: https://issues.apache.org/jira/browse/GOBBLIN-1728
>             Project: Apache Gobblin
>          Issue Type: New Feature
>            Reporter: Matthew Ho
>            Priority: Major
>          Time Spent: 4h 10m
>  Remaining Estimate: 0h
>
> Yarn Service is responsible for calculating the number of instances based on 
> the helix tasks. Yarn service tracks the number of instances by asking Yarn 
> for the number of resource requests and the number of allocated containers.
>  
> It uses this count to determine if it should ask for more containers or 
> shrink the number of containers. This calculation is currently done 
> improperly and we continue to request containers when we have enough 
> requested.



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