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From "zhao bo (Jira)" <>
Subject [jira] [Commented] (SPARK-29106) Add jenkins arm test for spark
Date Thu, 21 Nov 2019 09:13:00 GMT


zhao bo commented on SPARK-29106:

Hi [~shaneknapp],

If you feel sparkR testing is good with a new job and can ignoring the 443 network error,
could you please add sparkR periodic task on the new test ARM VM? Thanks very much.

> Add jenkins arm test for spark
> ------------------------------
>                 Key: SPARK-29106
>                 URL:
>             Project: Spark
>          Issue Type: Test
>          Components: Tests
>    Affects Versions: 3.0.0
>            Reporter: huangtianhua
>            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  [] 
and [|] 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 [],
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 [,|] spark
depends on leveldbjni-all-1.8 [],
we can see there is no arm64 supporting. So we build an arm64 supporting release of leveldbjni
see [],
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
>  []
>  SPARK-28519
>  []
>  SPARK-28433
>  []
> SPARK-28467
> []
> SPARK-29286
> []

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