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https://issues.apache.org/jira/browse/BEAM-4122?focusedWorklogId=92244&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-92244
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ASF GitHub Bot logged work on BEAM-4122:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 18/Apr/18 21:28
            Start Date: 18/Apr/18 21:28
    Worklog Time Spent: 10m 
      Work Description: swegner commented on issue #5171: [BEAM-4122] Tune 
Gradle resource usage on Jenkins
URL: https://github.com/apache/beam/pull/5171#issuecomment-382535397
 
 
   This still needs evaluation, but our Jenkins environment is so flaky right 
now that anything will be an improvement.
   
   Run Seed Job

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

    Worklog Id:     (was: 92244)
    Time Spent: 20m  (was: 10m)

> Tune Gradle resource usage on Jenkins
> -------------------------------------
>
>                 Key: BEAM-4122
>                 URL: https://issues.apache.org/jira/browse/BEAM-4122
>             Project: Beam
>          Issue Type: Sub-task
>          Components: build-system
>            Reporter: Scott Wegner
>            Assignee: Scott Wegner
>            Priority: Major
>          Time Spent: 20m
>  Remaining Estimate: 0h
>
> The new Gradle build seems to be exhausting memory on the Jenkins machines, 
> causing them to lose their connection and die. This has made our tests 
> extremely flaky.
> We need to tune the Gradle build such that it does not exhaust Jenkins 
> machine resources.
> A  [Gradle build 
> scan|https://scans.gradle.com/s/ehue5xqj36zeo/infrastructure] shows some 
> information about the Jenkins VM:
>  * Operating system Linux 3.19.0-79-generic
>  * CPU cores 4 cores
>  * Max Gradle workers 4 workers
>  * Java runtime Oracle Java(TM) SE Runtime Environment 1.8.0_152-b16
>  * Java VM Oracle Java HotSpot(TM) 64-Bit Server VM 25.152-b16 (mixed mode)
>  * Max JVM memory heap size 3506 MB
> From the [Jenkins Load 
> Statistics|https://builds.apache.org/computer/beam3/load-statistics] page, it 
> appears that each machine has 2 executors.
> Some resources for tuning memory:
>  * [https://wiki.jenkins.io/display/JENKINS/I%27m+getting+OutOfMemoryError] 
>  * [https://guides.gradle.org/performance/] 
>  * 
> [https://docs.gradle.org/current/userguide/build_environment.html#sec:configuring_jvm_memory]
>  
>  * 
> [https://docs.gradle.org/current/userguide/command_line_interface.html#sec:command_line_performance]
>  
>  
> We may also be able to improve performance by using Gradle features to remove 
> redundant work:
>  * [Build Cache|https://docs.gradle.org/current/userguide/build_cache.html]: 
> re-use up-to-date outputs from previous builds
>  * [Gradle 
> Daemon|https://docs.gradle.org/current/userguide/gradle_daemon.html]: re-use 
> worker process and cache output status



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