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https://issues.apache.org/jira/browse/SPARK-29106?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16954912#comment-16954912
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Shane Knapp commented on SPARK-29106:
-------------------------------------

also, i will be exploring the purchase of an ARM server for our cluster.  the 
VM is just not going to be enough for our purposes.  this won't happen 
immediately, so we'll use the VM until then.

> 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
>
> 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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