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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2014/12/30 10:57:13 UTC
[jira] [Commented] (SPARK-5005) Failed to start spark-shell when
using yarn-client mode with the Spark1.2.0
[ https://issues.apache.org/jira/browse/SPARK-5005?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14260955#comment-14260955 ]
Sean Owen commented on SPARK-5005:
----------------------------------
You should use {{--master yarn-client}} not {{MASTER=yarn-client}}.
> 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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