Hi again José Luis. Sorry, I was specifically talking about the "org.apache.hadoop.util.Shell$ExitCodeException" error. Can you provide the logs for a wordcount please? Also, do you have yarn running? I have never tweaked the mapreduce.framework.name value, so I might not be able to help you further, but these pieces of information might help the people who can.
Regards, LLoyd On 17 January 2016 at 00:07, José Luis Larroque <[email protected]> wrote: > Thanks for your answer Lloyd! > > I'm not sure about that. Wordcount, of the same jar, gives me the same > error, and also my own map reduce job. > > I believe that the " Error: Could not find or load main class 256" error is > happening because it's not finding the mapper, but i'm not sure. > > Bye! > Jose > > > 2016-01-16 19:41 GMT-03:00 Namikaze Minato <[email protected]>: >> >> Hello José Luis Larroque. >> >> Your problem here is only that grep is returning a non-zero exit code >> when no occurences are found. >> I know that for spark-streaming, using the option "-jobconf >> stream.non.zero.exit.is.failure=false" solves the problem, but I don't >> know how hadoop-mapreduce-examples-2.4.0.jar handles this. >> >> Regards, >> LLoyd >> >> On 16 January 2016 at 19:07, José Luis Larroque <[email protected]> >> wrote: >> > Hi there, i'm currently running a single node yarn cluster, hadoop >> > 2.4.0, >> > and for some reason, i can't execute even a example that comes with map >> > reduce (grep, wordcount, etc). With this line i execute grep: >> > >> > $HADOOP_HOME/bin/yarn jar >> > >> > /usr/local/hadoop/share/hadoop/yarn/lib/hadoop-mapreduce-examples-2.4.0.jar >> > grep input output2 'dfs[a-z.]+' >> > >> > This cluster was previosly running Giraph programs, but rigth now i need >> > a >> > Map Reduce application, so i switched it back to pure yarn. >> > >> > All failed containers had the same error: >> > >> > Container: container_1452447718890_0001_01_000002 on localhost_37976 >> > >> > ====================================================================== >> > LogType: stderr >> > LogLength: 45 >> > Log Contents: >> > Error: Could not find or load main class 256 >> > >> > Main logs: >> > >> > SLF4J: Class path contains multiple SLF4J bindings. >> > SLF4J: Found binding in >> > >> > [jar:file:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class] >> > SLF4J: Found binding in >> > >> > [jar:file:/usr/local/hadoop/share/hadoop/yarn/lib/giraph-examples-1.1.0-for-hadoop-2.4.0-jar-with-dependencies.jar!/org/slf4j/impl/StaticLoggerBinder.class] >> > SLF4J: Found binding in >> > >> > [jar:file:/usr/local/hadoop/share/hadoop/mapreduce/giraph-examples-1.1.0-for-hadoop-2.4.0-jar-with-dependencies.jar!/org/slf4j/impl/StaticLoggerBinder.class] >> > SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an >> > explanation. >> > SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory] >> > 16/01/15 21:53:50 WARN util.NativeCodeLoader: Unable to load >> > native-hadoop library for your platform... using builtin-java classes >> > where >> > applicable >> > 16/01/15 21:53:50 INFO client.RMProxy: Connecting to ResourceManager >> > at >> > hdnode01/192.168.0.10:8050 >> > 16/01/15 21:53:51 WARN mapreduce.JobSubmitter: No job jar file set. >> > User classes may not be found. See Job or Job#setJar(String). >> > 16/01/15 21:53:51 INFO input.FileInputFormat: Total input paths to >> > process : 1 >> > 16/01/15 21:53:52 INFO mapreduce.JobSubmitter: number of splits:1 >> > 16/01/15 21:53:52 INFO mapreduce.JobSubmitter: Submitting tokens for >> > job: job_1452905418747_0001 >> > 16/01/15 21:53:53 INFO mapred.YARNRunner: Job jar is not present. >> > Not >> > adding any jar to the list of resources. >> > 16/01/15 21:53:53 INFO impl.YarnClientImpl: Submitted application >> > application_1452905418747_0001 >> > 16/01/15 21:53:54 INFO mapreduce.Job: The url to track the job: >> > http://localhost:8088/proxy/application_1452905418747_0001/ >> > 16/01/15 21:53:54 INFO mapreduce.Job: Running job: >> > job_1452905418747_0001 >> > 16/01/15 21:54:04 INFO mapreduce.Job: Job job_1452905418747_0001 >> > running >> > in uber mode : false >> > 16/01/15 21:54:04 INFO mapreduce.Job: map 0% reduce 0% >> > 16/01/15 21:54:07 INFO mapreduce.Job: Task Id : >> > attempt_1452905418747_0001_m_000000_0, Status : FAILED >> > Exception from container-launch: >> > org.apache.hadoop.util.Shell$ExitCodeException: >> > org.apache.hadoop.util.Shell$ExitCodeException: >> > at org.apache.hadoop.util.Shell.runCommand(Shell.java:505) >> > at org.apache.hadoop.util.Shell.run(Shell.java:418) >> > at >> > >> > org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:650) >> > at >> > >> > org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:195) >> > at >> > >> > org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:300) >> > at >> > >> > org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:81) >> > at java.util.concurrent.FutureTask.run(FutureTask.java:262) >> > at >> > >> > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) >> > at >> > >> > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) >> > at java.lang.Thread.run(Thread.java:745) >> > >> > >> > Container exited with a non-zero exit code 1 >> > >> > 16/01/15 21:54:11 INFO mapreduce.Job: Task Id : >> > attempt_1452905418747_0001_m_000000_1, Status : FAILED >> > Exception from container-launch: >> > org.apache.hadoop.util.Shell$ExitCodeException: >> > org.apache.hadoop.util.Shell$ExitCodeException: >> > at org.apache.hadoop.util.Shell.runCommand(Shell.java:505) >> > at org.apache.hadoop.util.Shell.run(Shell.java:418) >> > at >> > >> > org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:650) >> > at >> > >> > org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:195) >> > at >> > >> > org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:300) >> > at >> > >> > org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:81) >> > at java.util.concurrent.FutureTask.run(FutureTask.java:262) >> > at >> > >> > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) >> > at >> > >> > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) >> > at java.lang.Thread.run(Thread.java:745) >> > >> > >> > Container exited with a non-zero exit code 1 >> > >> > 16/01/15 21:54:15 INFO mapreduce.Job: Task Id : >> > attempt_1452905418747_0001_m_000000_2, Status : FAILED >> > Exception from container-launch: >> > org.apache.hadoop.util.Shell$ExitCodeException: >> > org.apache.hadoop.util.Shell$ExitCodeException: >> > at org.apache.hadoop.util.Shell.runCommand(Shell.java:505) >> > at org.apache.hadoop.util.Shell.run(Shell.java:418) >> > at >> > >> > org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:650) >> > at >> > >> > org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:195) >> > at >> > >> > org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:300) >> > at >> > >> > org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:81) >> > 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:745) >> > >> > >> > Container exited with a non-zero exit code 1 >> > >> > 16/01/15 21:54:21 INFO mapreduce.Job: map 100% reduce 100% >> > 16/01/15 21:54:21 INFO mapreduce.Job: Job job_1452905418747_0001 >> > failed >> > with state FAILED due to: Task failed task_1452905418747_0001_m_000000 >> > Job failed as tasks failed. failedMaps:1 failedReduces:0 >> > >> > 16/01/15 21:54:21 INFO mapreduce.Job: Counters: 12 >> > Job Counters >> > Failed map tasks=4 >> > Launched map tasks=4 >> > Other local map tasks=3 >> > Data-local map tasks=1 >> > Total time spent by all maps in occupied slots (ms)=15548 >> > Total time spent by all reduces in occupied slots (ms)=0 >> > Total time spent by all map tasks (ms)=7774 >> > Total vcore-seconds taken by all map tasks=7774 >> > Total megabyte-seconds taken by all map tasks=3980288 >> > Map-Reduce Framework >> > CPU time spent (ms)=0 >> > Physical memory (bytes) snapshot=0 >> > Virtual memory (bytes) snapshot=0 >> > 16/01/15 21:54:21 INFO client.RMProxy: Connecting to ResourceManager >> > at >> > hdnode01/192.168.0.10:8050 >> > 16/01/15 21:54:22 WARN mapreduce.JobSubmitter: No job jar file set. >> > User classes may not be found. See Job or Job#setJar(String). >> > 16/01/15 21:54:22 INFO input.FileInputFormat: Total input paths to >> > process : 0 >> > 16/01/15 21:54:22 INFO mapreduce.JobSubmitter: number of splits:0 >> > 16/01/15 21:54:22 INFO mapreduce.JobSubmitter: Submitting tokens for >> > job: job_1452905418747_0002 >> > 16/01/15 21:54:22 INFO mapred.YARNRunner: Job jar is not present. >> > Not >> > adding any jar to the list of resources. >> > 16/01/15 21:54:22 INFO impl.YarnClientImpl: Submitted application >> > application_1452905418747_0002 >> > 16/01/15 21:54:22 INFO mapreduce.Job: The url to track the job: >> > http://localhost:8088/proxy/application_1452905418747_0002/ >> > 16/01/15 21:54:22 INFO mapreduce.Job: Running job: >> > job_1452905418747_0002 >> > 16/01/15 21:54:32 INFO mapreduce.Job: Job job_1452905418747_0002 >> > running >> > in uber mode : false >> > 16/01/15 21:54:32 INFO mapreduce.Job: map 0% reduce 0% >> > 16/01/15 21:54:36 INFO mapreduce.Job: Task Id : >> > attempt_1452905418747_0002_r_000000_0, Status : FAILED >> > Exception from container-launch: >> > org.apache.hadoop.util.Shell$ExitCodeException: >> > org.apache.hadoop.util.Shell$ExitCodeException: >> > at org.apache.hadoop.util.Shell.runCommand(Shell.java:505) >> > at org.apache.hadoop.util.Shell.run(Shell.java:418) >> > at >> > >> > org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:650) >> > at >> > >> > org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:195) >> > at >> > >> > org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:300) >> > at >> > >> > org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:81) >> > at java.util.concurrent.FutureTask.run(FutureTask.java:262) >> > at >> > >> > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) >> > at >> > >> > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) >> > at java.lang.Thread.run(Thread.java:745) >> > >> > >> > Container exited with a non-zero exit code 1 >> > >> > 16/01/15 21:54:41 INFO mapreduce.Job: Task Id : >> > attempt_1452905418747_0002_r_000000_1, Status : FAILED >> > Exception from container-launch: >> > org.apache.hadoop.util.Shell$ExitCodeException: >> > org.apache.hadoop.util.Shell$ExitCodeException: >> > at org.apache.hadoop.util.Shell.runCommand(Shell.java:505) >> > at org.apache.hadoop.util.Shell.run(Shell.java:418) >> > at >> > >> > org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:650) >> > at >> > >> > org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:195) >> > at >> > >> > org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:300) >> > at >> > >> > org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:81) >> > at java.util.concurrent.FutureTask.run(FutureTask.java:262) >> > at >> > >> > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) >> > at >> > >> > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) >> > at java.lang.Thread.run(Thread.java:745) >> > >> > >> > Container exited with a non-zero exit code 1 >> > >> > 16/01/15 21:54:46 INFO mapreduce.Job: Task Id : >> > attempt_1452905418747_0002_r_000000_2, Status : FAILED >> > Exception from container-launch: >> > org.apache.hadoop.util.Shell$ExitCodeException: >> > org.apache.hadoop.util.Shell$ExitCodeException: >> > at org.apache.hadoop.util.Shell.runCommand(Shell.java:505) >> > at org.apache.hadoop.util.Shell.run(Shell.java:418) >> > at >> > >> > org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:650) >> > at >> > >> > org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:195) >> > at >> > >> > org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:300) >> > at >> > >> > org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:81) >> > 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:745) >> > >> > >> > Container exited with a non-zero exit code 1 >> > >> > 16/01/15 21:54:51 INFO mapreduce.Job: map 0% reduce 100% >> > 16/01/15 21:54:52 INFO mapreduce.Job: Job job_1452905418747_0002 >> > failed >> > with state FAILED due to: Task failed task_1452905418747_0002_r_000000 >> > Job failed as tasks failed. failedMaps:0 failedReduces:1 >> > >> > 16/01/15 21:54:52 INFO mapreduce.Job: Counters: 10 >> > Job Counters >> > Failed reduce tasks=4 >> > Launched reduce tasks=4 >> > Total time spent by all maps in occupied slots (ms)=0 >> > Total time spent by all reduces in occupied slots (ms)=11882 >> > Total time spent by all reduce tasks (ms)=5941 >> > Total vcore-seconds taken by all reduce tasks=5941 >> > Total megabyte-seconds taken by all reduce tasks=3041792 >> > Map-Reduce Framework >> > CPU time spent (ms)=0 >> > Physical memory (bytes) snapshot=0 >> > Virtual memory (bytes) snapshot=0 >> > >> > I switched mapreduce.framework.name from: >> > >> > <property> >> > <name>mapreduce.framework.name</name> >> > <value>yarn</value> >> > </property> >> > >> > To: >> > >> > <property> >> > <name>mapreduce.framework.name</name> >> > <value>local</value> >> > </property> >> > >> > and grep and other mapreduce jobs are working again. >> > >> > I don't understand why with "yarn" value in mapreduce.framework.name >> > doesn't >> > work, and without it (using "local") does. >> > >> > Any idea how to fix this without switching the value of >> > mapreduce.framework.name? >> > >> > >> > >> > Bye! >> > Jose >> > >> > >> > > > --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
