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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Work logged] (GOBBLIN-762) Add automatic scaling for Gobblin on YARN
Date Tue, 07 May 2019 15:10:01 GMT

     [ https://issues.apache.org/jira/browse/GOBBLIN-762?focusedWorklogId=238563&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-238563

ASF GitHub Bot logged work on GOBBLIN-762:

                Author: ASF GitHub Bot
            Created on: 07/May/19 15:09
            Start Date: 07/May/19 15:09
    Worklog Time Spent: 10m 
      Work Description: shirshanka commented on pull request #2626: [GOBBLIN-762] Add automatic
scaling for Gobblin on YARN
URL: https://github.com/apache/incubator-gobblin/pull/2626#discussion_r281033719

 File path: gobblin-yarn/build.gradle
 @@ -65,6 +65,10 @@ dependencies {
   testCompile externalDependency.hadoopYarnMiniCluster
   testCompile externalDependency.curatorFramework
   testCompile externalDependency.curatorTest
+  testCompile ('com.google.inject:guice:3.0') {
+    force = true
 Review comment:
   why was this required?
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Issue Time Tracking

    Worklog Id:     (was: 238563)
    Time Spent: 1h  (was: 50m)

> Add automatic scaling for Gobblin on YARN
> -----------------------------------------
>                 Key: GOBBLIN-762
>                 URL: https://issues.apache.org/jira/browse/GOBBLIN-762
>             Project: Apache Gobblin
>          Issue Type: Task
>            Reporter: Hung Tran
>            Priority: Major
>          Time Spent: 1h
>  Remaining Estimate: 0h
> Gobblin on YARN needs a way to scale up and down the containers based on the workload.
> Added `YarnAutoScalingManager` which can be started by the `GobblinApplicationMaster`
by setting the `gobblin.yarn.app.master.serviceClasses` configuration. This class runs a scheduled
task with a default interval of 60 seconds to detect the number of required partitions for
the workflows submitted to Helix. It will request the `YarnService` to scale to a computed
number of containers. If the requested number of containers is higher than the YarnService
has previously requested then it will request more containers. If the requested count is less
than the current number of allocated containers then it will free any unused containers.

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