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Posted to issues@spark.apache.org by "yangping wu (JIRA)" <ji...@apache.org> on 2014/12/30 10:54:13 UTC

[jira] [Created] (SPARK-5005) Failed to start when using yarn-client mode with the Spark1.2.0

yangping wu created SPARK-5005:
----------------------------------

             Summary: Failed to start 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


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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