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https://issues.apache.org/jira/browse/SPARK-5005?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14324014#comment-14324014
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Sean Owen commented on SPARK-5005:
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I can't reproduce this. The error shows that somehow you are passing these args
to the YARN application master. Are you sure you didn't also set these values
in the wrong place in a config file, like, as extra args to the YARN AM?
> Failed to start spark-shell when using yarn-client mode with the Spark1.2.0
> ----------------------------------------------------------------------------
>
> Key: SPARK-5005
> URL: https://issues.apache.org/jira/browse/SPARK-5005
> Project: Spark
> Issue Type: Bug
> Components: Spark Core, Spark Shell, YARN
> Affects Versions: 1.2.0
> Environment: Spark 1.2.0
> Hadoop 2.2.0
> Reporter: yangping wu
> Priority: Minor
> Original Estimate: 8h
> Remaining Estimate: 8h
>
> I am using Spark 1.2.0, but when I starting spark-shell with yarn-client
> mode({code}MASTER=yarn-client bin/spark-shell{code}), It Failed and the error
> message is
> {code}
> Unknown/unsupported param List(--executor-memory, 1024m, --executor-cores, 8,
> --num-executors, 2)
> Usage: org.apache.spark.deploy.yarn.ApplicationMaster [options]
> Options:
> --jar JAR_PATH Path to your application's JAR file (required)
> --class CLASS_NAME Name of your application's main class (required)
> --args ARGS Arguments to be passed to your application's main
> class.
> Mutliple invocations are possible, each will be passed
> in order.
> --num-executors NUM Number of executors to start (Default: 2)
> --executor-cores NUM Number of cores for the executors (Default: 1)
> --executor-memory MEM Memory per executor (e.g. 1000M, 2G) (Default: 1G)
> {code}
> But when I using Spark 1.1.0,and also using {code}MASTER=yarn-client
> bin/spark-shell{code} to starting spark-shell,it works.
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