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https://issues.apache.org/jira/browse/SPARK-29106?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17036785#comment-17036785
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huangtianhua commented on SPARK-29106:
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The arm maven job failed for these days again, and the reason is same as last
time, the memory is high even if there is no job running, and there are many
processes still running after maven jobs executed for some days, see
[http://paste.openstack.org/show/789561] I killed them and let's see test
result.
> 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
> Assignee: Shane Knapp
> Priority: Minor
> Attachments: R-ansible.yml, R-libs.txt,
> SparkR-and-pyspark36-testing.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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