Kaveen Raajan created SPARK-7700: ------------------------------------ Summary: Spark 1.3.0 on YARN: Application failed 2 times due to AM Container Key: SPARK-7700 URL: https://issues.apache.org/jira/browse/SPARK-7700 Project: Spark Issue Type: Story Components: Build Affects Versions: 1.3.1 Environment: windows 8 Single language Hadoop-2.5.2 Protocol Buffer-2.5.0 Scala-2.11 Reporter: Kaveen Raajan
I build SPARK on yarn mode by giving following command. Build got succeeded. {panel} mvn -Pyarn -Phadoop-2.4 -Dhadoop.version=2.4.0 -Phive -Phive-0.12.0 -Phive-thriftserver -DskipTests clean package {panel} I set following property at spark-env.cmd file {panel} SET SPARK_JAR=hdfs://master:9000/user/spark/jar {panel} *Note:* spark jar files are moved to hdfs specified location. Also spark classpath are added to hadoop-config.cmd and HADOOP_CONF_DIR are set at enviroment variable. I tried to execute following SparkPi example in yarn-cluster mode. {panel} spark-submit --class org.apache.spark.examples.SparkPi --master yarn-cluster --num-executors 3 --driver-memory 4g --executor-memory 2g --executor-cores 1 --queue default S:\Hadoop\Spark\spark-1.3.1\examples\target\spark-examples_2.10-1.3.1.jar 10 {panel} My job able to submit at hadoop cluster, but it always in accepted state and Failed with following error {panel} 15/05/14 13:00:51 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032 15/05/14 13:00:51 INFO yarn.Client: Requesting a new application from cluster with 1 NodeManagers 15/05/14 13:00:51 INFO yarn.Client: Verifying our application has not requestedmore than the maximum memory capability of the cluster (8048 MB per container) 15/05/14 13:00:51 INFO yarn.Client: Will allocate AM container, with 4480 MB memory including 384 MB overhead 15/05/14 13:00:51 INFO yarn.Client: Setting up container launch context for ourAM 15/05/14 13:00:51 INFO yarn.Client: Preparing resources for our AM container 15/05/14 13:00:52 INFO yarn.Client: Source and destination file systems are thesame. Not copying hdfs://master:9000/user/spark/jar 15/05/14 13:00:52 INFO yarn.Client: Uploading resource file:/S:/Hadoop/Spark/spark-1.3.1/examples/target/spark-examples_2.10-1.3.1.jar -> hdfs://master:9000/user/HDFS/.sparkStaging/application_1431587916618_0003/spark-examples_2.10-1.3.1.jar 15/05/14 13:00:52 INFO yarn.Client: Setting up the launch environment for our AM container 15/05/14 13:00:52 INFO spark.SecurityManager: Changing view acls to: HDFS 15/05/14 13:00:52 INFO spark.SecurityManager: Changing modify acls to: HDFS 15/05/14 13:00:52 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(HDFS); users with modify permissions: Set(HDFS) 15/05/14 13:00:52 INFO yarn.Client: Submitting application 3 to ResourceManager 15/05/14 13:00:52 INFO impl.YarnClientImpl: Submitted application application_1431587916618_0003 15/05/14 13:00:53 INFO yarn.Client: Application report for application_1431587916618_0003 (state: ACCEPTED) 15/05/14 13:00:53 INFO yarn.Client: client token: N/A diagnostics: N/A ApplicationMaster host: N/A ApplicationMaster RPC port: -1 queue: default start time: 1431588652790 final status: UNDEFINED tracking URL: http://master:8088/proxy/application_1431587916618_0003/ user: HDFS 15/05/14 13:00:54 INFO yarn.Client: Application report for application_1431587916618_0003 (state: ACCEPTED) 15/05/14 13:00:55 INFO yarn.Client: Application report for application_1431587916618_0003 (state: ACCEPTED) 15/05/14 13:00:56 INFO yarn.Client: Application report for application_1431587916618_0003 (state: ACCEPTED) 15/05/14 13:00:57 INFO yarn.Client: Application report for application_1431587916618_0003 (state: ACCEPTED) 15/05/14 13:00:58 INFO yarn.Client: Application report for application_1431587916618_0003 (state: ACCEPTED) 15/05/14 13:00:59 INFO yarn.Client: Application report for application_1431587916618_0003 (state: FAILED) 15/05/14 13:00:59 INFO yarn.Client: client token: N/A diagnostics: Application application_1431587916618_0003 failed 2 times due to AM Container for appattempt_1431587916618_0003_000002 exited with exitCode: 1 For more detailed output, check application tracking page:http://master:8088/proxy/application_1431587916618_0003/Then, click on links to logs of each attempt. Diagnostics: Exception from container-launch. Container id: container_1431587916618_0003_02_000001 Exit code: 1 Stack trace: ExitCodeException exitCode=1: at org.apache.hadoop.util.Shell.runCommand(Shell.java:538) at org.apache.hadoop.util.Shell.run(Shell.java:455) at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:715) at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:211) at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302) at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82) at java.util.concurrent.FutureTask.run(FutureTask.java:262) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:744) Shell output: 1 file(s) moved. Container exited with a non-zero exit code 1 Failing this attempt. Failing the application. ApplicationMaster host: N/A ApplicationMaster RPC port: -1 queue: default start time: 1431588652790 final status: FAILED tracking URL: http://master:8088/cluster/app/application_1431587916618_0003 user: HDFS Exception in thread "main" org.apache.spark.SparkException: Application finished with failed status at org.apache.spark.deploy.yarn.ClientBase$class.run(ClientBase.scala:522) at org.apache.spark.deploy.yarn.Client.run(Client.scala:35) at org.apache.spark.deploy.yarn.Client$.main(Client.scala:139) at org.apache.spark.deploy.yarn.Client.main(Client.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:360) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:76) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) {panel} While debugging launch-container.cmd file I found that spark jar are not able to access by AM. {color:red} Error: Could not find or load main class '-Dspark.executor.memory=2g' {color} If I tried to *run spark-shell in yarn-client* mean same issue found with error message _yarn application already ended,might be killed or not able to launch application._ Similar Issues are available at [http://blog.csdn.net/sunflower_cao/article/details/38046341] [http://stackoverflow.com/questions/29392318/spark-1-3-0-on-yarn-application-failed-2-times-due-to-am-container] Please guide me where I made a mistake to run hadoop on yarn mode. -- 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