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https://issues.apache.org/jira/browse/SPARK-29106?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16972184#comment-16972184
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zhao bo commented on SPARK-29106:
---------------------------------

And for the above several comments I left, we hope [~shaneknapp], you could 
give us some kind advices, we plan to on board it recently, but need some test, 
so we think to keep the existing worker for a period, and we integrate the new 
VM at the same time.

Here I can share current VM summary to you:

cpu: 8u

Memory: 16G

location: BeiJing, China (This could affect the network performance as the VM 
is in China, but we had improved the network performance via configuring 
internal source)

As we tested, the same maven test will last 5h33min, and build will last 
43min。So I think it's good to be a test worker in jenkins. ;)

 

Thanks

 

> Add jenkins arm test for spark
> ------------------------------
>
>                 Key: SPARK-29106
>                 URL: https://issues.apache.org/jira/browse/SPARK-29106
>             Project: Spark
>          Issue Type: Test
>          Components: Tests
>    Affects Versions: 3.0.0
>            Reporter: huangtianhua
>            Priority: Minor
>         Attachments: R-ansible.yml, R-libs.txt, arm-python36.txt
>
>
> Add arm test jobs to amplab jenkins for spark.
> Till now we made two arm test periodic jobs for spark in OpenLab, one is 
> based on master with hadoop 2.7(similar with QA test of amplab jenkins), 
> other one is based on a new branch which we made on date 09-09, see  
> [http://status.openlabtesting.org/builds/job/spark-master-unit-test-hadoop-2.7-arm64]
>   and 
> [http://status.openlabtesting.org/builds/job/spark-unchanged-branch-unit-test-hadoop-2.7-arm64.|http://status.openlabtesting.org/builds/job/spark-unchanged-branch-unit-test-hadoop-2.7-arm64]
>  We only have to care about the first one when integrate arm test with amplab 
> jenkins.
> About the k8s test on arm, we have took test it, see 
> [https://github.com/theopenlab/spark/pull/17], maybe we can integrate it 
> later. 
> And we plan test on other stable branches too, and we can integrate them to 
> amplab when they are ready.
> We have offered an arm instance and sent the infos to shane knapp, thanks 
> shane to add the first arm job to amplab jenkins :) 
> The other important thing is about the leveldbjni 
> [https://github.com/fusesource/leveldbjni,|https://github.com/fusesource/leveldbjni/issues/80]
>  spark depends on leveldbjni-all-1.8 
> [https://mvnrepository.com/artifact/org.fusesource.leveldbjni/leveldbjni-all/1.8],
>  we can see there is no arm64 supporting. So we build an arm64 supporting 
> release of leveldbjni see 
> [https://mvnrepository.com/artifact/org.openlabtesting.leveldbjni/leveldbjni-all/1.8],
>  but we can't modified the spark pom.xml directly with something like 
> 'property'/'profile' to choose correct jar package on arm or x86 platform, 
> because spark depends on some hadoop packages like hadoop-hdfs, the packages 
> depend on leveldbjni-all-1.8 too, unless hadoop release with new arm 
> supporting leveldbjni jar. Now we download the leveldbjni-al-1.8 of 
> openlabtesting and 'mvn install' to use it when arm testing for spark.
> PS: The issues found and fixed:
>  SPARK-28770
>  [https://github.com/apache/spark/pull/25673]
>   
>  SPARK-28519
>  [https://github.com/apache/spark/pull/25279]
>   
>  SPARK-28433
>  [https://github.com/apache/spark/pull/25186]
>  
> SPARK-28467
> [https://github.com/apache/spark/pull/25864]
>  
> SPARK-29286
> [https://github.com/apache/spark/pull/26021]
>  
>  



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