[
https://issues.apache.org/jira/browse/SPARK-7706?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14548418#comment-14548418
]
Shaik Idris Ali commented on SPARK-7706:
----------------------------------------
I think the cleaner way in SparkSubmitArguments.class is to support both Class
arguments and Env variables, in fact that is how it done for most of the
variables. And Spark java cmd can appropriately set these in classpath. Maybe
it is uses ENV because these are generic variables.
{code}
executorMemory = Option(executorMemory)
.orElse(sparkProperties.get("spark.executor.memory"))
.orElse(env.get("SPARK_EXECUTOR_MEMORY"))
.orNull
{code}
Meanwhile I will check if we have a simpler solution without fixing this in
Spark. Thanks.
> Allow setting YARN_CONF_DIR from spark argument
> -----------------------------------------------
>
> Key: SPARK-7706
> URL: https://issues.apache.org/jira/browse/SPARK-7706
> Project: Spark
> Issue Type: Improvement
> Components: Spark Submit
> Affects Versions: 1.3.1
> Reporter: Shaik Idris Ali
> Labels: oozie, yarn
>
> Currently in SparkSubmitArguments.scala when master is set to "yarn"
> (yarn-cluster mode)
> https://github.com/apache/spark/blob/b1f4ca82d170935d15f1fe6beb9af0743b4d81cd/core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala#L236
> Spark checks if YARN_CONF_DIR or HADOOP_CONF_DIR is set in EVN.
> However we should additionally allow passing YARN_CONF_DIR from command line
> argument this is particularly handy when Spark is being launched from
> schedulers like OOZIE or FALCON.
> Reason being, oozie launcher App starts in one of the container assigned by
> Yarn RM and we do not want to set YARN_CONF_DIR in ENV for all the nodes in
> cluster. Just passing the argument like -yarnconfdir with conf dir (ex:
> /etc/hadoop/conf) should avoid setting the ENV variable.
> This is blocking us to onboard spark from oozie or falcon. Thanks.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
