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https://issues.apache.org/jira/browse/GOBBLIN-1072?focusedWorklogId=399454&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-399454
 ]

ASF GitHub Bot logged work on GOBBLIN-1072:
-------------------------------------------

                Author: ASF GitHub Bot
            Created on: 07/Mar/20 00:22
            Start Date: 07/Mar/20 00:22
    Worklog Time Spent: 10m 
      Work Description: sv2000 commented on pull request #2912: [GOBBLIN-1072] 
Being more conservative on leasing containers
URL: https://github.com/apache/incubator-gobblin/pull/2912#discussion_r389199173
 
 

 ##########
 File path: 
gobblin-yarn/src/main/java/org/apache/gobblin/yarn/YarnAutoScalingManager.java
 ##########
 @@ -189,16 +224,123 @@ void runInternal() {
         }
       }
 
+      // Find all participants appearing in this cluster. Note that Helix 
instances can contain cluster-manager
+      // and potentially replanner-instance.
+      Set<String> allParticipants = 
getParticipants(GobblinYarnTaskRunner.class.getSimpleName());
+
+      // Find all joined participants not in-use for this round of inspection.
+      // If idle time is beyond tolerance, mark the instance as unused by 
assigning timestamp as -1.
+      for (String participant : allParticipants) {
+        if (!inUseInstances.contains(participant)) {
+          instanceIdleSinceWhen.putIfAbsent(participant, 
System.currentTimeMillis());
+          if (absenceUnderTolerance(participant)) {
+            inUseInstances.add(participant);
+          }
+        } else {
+          // An instance that has been previously detected as idle but now 
back to in-use.
+          // Remove this instance if existed in the tracking map.
+          instanceIdleSinceWhen.remove(participant);
+        }
+      }
+
+
+
       // compute the target containers as a ceiling of number of partitions 
divided by the number of containers
       // per partition.
       int numTargetContainers = (int) Math.ceil((double)numPartitions / 
this.partitionsPerContainer);
 
       // adjust the number of target containers based on the configured min 
and max container values.
       numTargetContainers = Math.max(this.minContainers, 
Math.min(this.maxContainers, numTargetContainers));
 
+      slidingFixedWindow.add(numTargetContainers);
+
       log.info("There are {} containers being requested", numTargetContainers);
 
-      this.yarnService.requestTargetNumberOfContainers(numTargetContainers, 
inUseInstances);
+      
this.yarnService.requestTargetNumberOfContainers(slidingFixedWindow.getMax(), 
inUseInstances);
+    }
+
+    @VisibleForTesting
+    /**
+     * Pass a participant if condition hold, where the condition, by default 
is that if an instance went back to
+     * active (having partition running on it) within {@link 
#maxIdleTimeInMinBeforeScalingDown} mins, we will
+     * not tag that instance as "unused" and have that as the candidate for 
scaling down.
+     */
+    boolean absenceUnderTolerance(String participant){
+      return System.currentTimeMillis() - 
instanceIdleSinceWhen.get(participant) <
+          TimeUnit.MINUTES.toMillis(maxIdleTimeInMinBeforeScalingDown);
+    }
+  }
+
+  /**
+   * A FIFO queue with fixed size and returns maxValue among all elements 
within the queue in constant time.
+   * This data structure prevent temporary fluctuation in the number of active 
helix partitions as the size of queue
+   * grows and will be less sensitive when scaling down is actually required.
+   *
+   * The interface for this lass is implemented in a minimal-necessity manner 
to serve only as a sliding-sized-window
 
 Review comment:
   Typo: drop "lass"
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 399454)
    Time Spent: 1h 50m  (was: 1h 40m)

> Being more conservative on releasing YARN containers
> ----------------------------------------------------
>
>                 Key: GOBBLIN-1072
>                 URL: https://issues.apache.org/jira/browse/GOBBLIN-1072
>             Project: Apache Gobblin
>          Issue Type: Improvement
>            Reporter: Lei Sun
>            Priority: Major
>          Time Spent: 1h 50m
>  Remaining Estimate: 0h
>




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