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 > > > > > > >
