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https://issues.apache.org/jira/browse/OOZIE-3404?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16731971#comment-16731971
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Andras Piros commented on OOZIE-3404:
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Thanks for the contribution so far [~zuston].
A couple of questions and remarks:
* new unit tests missing
* are you sure you need exactly these MapReduce settings for all Hadoop
versions 2.0+? This means all the Hadoop versions Oozie currently supports as
this is in the range [2.6.0, 3.1.1]
* please provide tested Oozie and Hadoop versions, as well as relevant pieces
of the PySpark workflow definition / job properties file / Spark version /
PySpark sources. As [~asalamon74] already pointed out, PySpark works under a
wide variety of circumstances
* I don't understand why setting exactly these MapReduce properties would help
the PySpark jobs (and only those) to succeed. Can you please explain?
> The env variable of SPARK_HOME needs to be set when running pySpark
> -------------------------------------------------------------------
>
> Key: OOZIE-3404
> URL: https://issues.apache.org/jira/browse/OOZIE-3404
> Project: Oozie
> Issue Type: Bug
> Affects Versions: 5.1.0
> Reporter: Junfan Zhang
> Assignee: Junfan Zhang
> Priority: Major
> Attachments: oozie-3404-1.patch
>
>
> When we run spark in a cluster, we rely on the spark jars on hdfs. We don't
> deploy Spark on the cluster server. So running pySpark according to the Oozie
> documentation is not successful.
>
> I found that when Hadoop is a 2.0+ version, although Oozie sets the
> {{SPARK_HOME}} variable in {{mapred.child.env}} , the {{mapreduce.map.env}}
> variable is read first in Hadoop ([source
> code|https://github.com/apache/hadoop/blob/f95b390df2ca7d599f0ad82cf6e8d980469e7abb/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapred/MapReduceChildJVM.java#L45])
> . So when we don't set {{SPARK_HOME}} env in {{mapreduce.map.env}} , pySpark
> doesn't work.
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