Hi,
I’m new to Spark and trying to test first Spark prog. I’m running SparkPi 
successfully in yarn-client -mode but when running the same in yarn-mode, app 
gets stuck to ACCEPTED phase. I’ve tried hours to hunt down the reason but the 
outcome is always the same. Any hints what to look for next? 

cheers,
-jan


vagrant@vm-cluster-node1:~$ ./run_pi.sh
14/05/20 06:24:04 INFO RMProxy: Connecting to ResourceManager at 
vm-cluster-node2/10.211.55.101:8032
14/05/20 06:24:05 INFO Client: Got Cluster metric info from ApplicationsManager 
(ASM), number of NodeManagers: 2
14/05/20 06:24:05 INFO Client: Queue info ... queueName: root.default, 
queueCurrentCapacity: 0.0, queueMaxCapacity: -1.0,
      queueApplicationCount = 0, queueChildQueueCount = 0
14/05/20 06:24:05 INFO Client: Max mem capabililty of a single resource in this 
cluster 2048
14/05/20 06:24:05 INFO Client: Preparing Local resources
14/05/20 06:24:05 INFO Client: Uploading 
file:/opt/cloudera/parcels/CDH-5.0.0-1.cdh5.0.0.p0.47/lib/spark/assembly/lib/spark-assembly_2.10-0.9.0-cdh5.0.0-hadoop2.3.0-cdh5.0.0.jar
 to 
hdfs://vm-cluster-node2:8020/user/vagrant/.sparkStaging/application_1400563733088_0012/spark-assembly_2.10-0.9.0-cdh5.0.0-hadoop2.3.0-cdh5.0.0.jar
14/05/20 06:24:07 INFO Client: Setting up the launch environment
14/05/20 06:24:07 INFO Client: Setting up container launch context
14/05/20 06:24:07 INFO Client: Command for starting the Spark 
ApplicationMaster: java -server -Xmx1024m -Djava.io.tmpdir=$PWD/tmp 
org.apache.spark.deploy.yarn.ApplicationMaster --class 
org.apache.spark.examples.SparkPi --jar 
/opt/cloudera/parcels/CDH-5.0.0-1.cdh5.0.0.p0.47/lib/spark/assembly/lib/spark-assembly_2.10-0.9.0-cdh5.0.0-hadoop2.3.0-cdh5.0.0.jar
 --args  'yarn-standalone'  --args  '10'  --worker-memory 500 --worker-cores 1 
--num-workers 1 1> <LOG_DIR>/stdout 2> <LOG_DIR>/stderr
14/05/20 06:24:07 INFO Client: Submitting application to ASM
14/05/20 06:24:07 INFO YarnClientImpl: Submitted application 
application_1400563733088_0012
14/05/20 06:24:08 INFO Client: Application report from ASM: <THIS PART GET 
REPEATING FOREVER>
         application identifier: application_1400563733088_0012
         appId: 12
         clientToAMToken: null
         appDiagnostics:
         appMasterHost: N/A
         appQueue: root.vagrant
         appMasterRpcPort: -1
         appStartTime: 1400567047343
         yarnAppState: ACCEPTED
         distributedFinalState: UNDEFINED
         appTrackingUrl: 
http://vm-cluster-node2:8088/proxy/application_1400563733088_0012/
         appUser: vagrant


Log files give me no additional help. Latest log entry just acknowledges the 
status change:

hadoop-yarn/hadoop-cmf-yarn-RESOURCEMANAGER-vm-cluster-node2.log.out:2014-05-20 
06:24:07,347 INFO 
org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl: 
application_1400563733088_0012 State change from SUBMITTED to ACCEPTED


I’m running the example in local test environment with three virtual nodes in 
Cloudera (CDH5).

Below is the run_pi.sh : 

#!/bin/bash

export SPARK_HOME=/opt/cloudera/parcels/CDH-5.0.0-1.cdh5.0.0.p0.47/lib/spark
export STANDALONE_SPARK_MASTER_HOST=vm-cluster-node2
export SPARK_MASTER_PORT=7077
export 
DEFAULT_HADOOP_HOME=/opt/cloudera/parcels/CDH-5.0.0-1.cdh5.0.0.p0.47/lib/hadoop

export SPARK_JAR_HDFS_PATH=/user/spark/share/lib/spark-assembly.jar

export SPARK_LAUNCH_WITH_SCALA=0
export SPARK_LIBRARY_PATH=${SPARK_HOME}/lib
export SCALA_LIBRARY_PATH=${SPARK_HOME}/lib
export SPARK_MASTER_IP=$STANDALONE_SPARK_MASTER_HOST

export HADOOP_HOME=${HADOOP_HOME:-$DEFAULT_HADOOP_HOME}

if [ -n "$HADOOP_HOME" ]; then
  export SPARK_LIBRARY_PATH=$SPARK_LIBRARY_PATH:${HADOOP_HOME}/lib/native
fi
export 
SPARK_JAR=hdfs://vm-cluster-node2:8020/user/spark/share/lib/spark-assembly.jar

APP_JAR=/opt/cloudera/parcels/CDH-5.0.0-1.cdh5.0.0.p0.47/lib/spark/assembly/lib/spark-assembly_2.10-0.9.0-cdh5.0.0-hadoop2.3.0-cdh5.0.0.jar

$SPARK_HOME/bin/spark-class org.apache.spark.deploy.yarn.Client \
--jar $APP_JAR \
--class org.apache.spark.examples.SparkPi \
--args yarn-standalone \
--args 10 \
--num-workers 1 \
--master-memory 1g \
--worker-memory 500m \
--worker-cores 1



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