hadoop - Tez-DAGAppMaster-java.lang.IllegalArgumentException:无效的ContainerId

Question

我尝试启动mapreduce作业，但是在执行shell或hive中的作业时遇到错误:

hive> select count(*) from employee ; Query ID = mapr_20171107135114_a574713d-7d69-45e1-aa73-d4de07a3059b Total jobs = 1 Launching Job 1 out of 1 Number of reduce tasks determined at compile time: 1 In order to change the average load for a reducer (in bytes): set hive.exec.reducers.bytes.per.reducer= In order to limit the maximum number of reducers: set hive.exec.reducers.max= In order to set a constant number of reducers: set mapreduce.job.reduces= Starting Job = job_1510052734193_0005, Tracking URL = http://hdpsrvpre2.intranet.darty.fr:8088/proxy/application_1510052734193_0005/ Kill Command = /opt/mapr/hadoop/hadoop-2.7.0/bin/hadoop job -kill job_1510052734193_0005 Hadoop job information for Stage-1: number of mappers: 0; number of reducers: 0 2017-11-07 13:51:25,951 Stage-1 map = 0%, reduce = 0% Ended Job = job_1510052734193_0005 with errors Error during job, obtaining debugging information... **FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask MapReduce Jobs Launched: Stage-Stage-1: MAPRFS Read: 0 MAPRFS Write: 0 FAIL Total MapReduce CPU Time Spent: 0 mse

在Ressourcemanager日志中，我发现了什么:

>     2017-11-07 13:51:25,269 INFO org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl:
> appattempt_1510052734193_0005_000002 State change from LAUNCHED to
> FINAL_SAVING 2017-11-07 13:51:25,269 INFO
> org.apache.hadoop.yarn.server.resourcemanager.recovery.FileSystemRMStateStore:
> Updating info for attempt: appattempt_1510052734193_0005_000002 at:
> /var/mapr/cluster/yarn/rm/system/FSRMStateRoot/RMAppRoot/application_1510052734193_0005/appattempt_1510052734193_0005_000002
> 2017-11-07 13:51:25,283 INFO
> org.apache.hadoop.yarn.server.resourcemanager.ApplicationMasterService:
> Unregistering app attempt : appattempt_1510052734193_0005_000002
> 2017-11-07 13:51:25,283 INFO
> org.apache.hadoop.yarn.server.resourcemanager.security.AMRMTokenSecretManager:
> Application finished, removing password for
> appattempt_1510052734193_0005_000002 2017-11-07 13:51:25,283 **INFO
> org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl:
> appattempt_1510052734193_0005_000002 State change from FINAL_SAVING to
> FAILED** 2017-11-07 13:51:25,284 INFO
> org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl: The
> number of failed attempts is 2. The max attempts is 2 2017-11-07
> 13:51:25,284 INFO
> org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl:
> Updating application application_1510052734193_0005 with final state:
> FAILED 2017-11-07 13:51:25,284 INFO
> org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl:
> application_1510052734193_0005 State change from ACCEPTED to
> FINAL_SAVING 2017-11-07 13:51:25,284 INFO
> org.apache.hadoop.yarn.server.resourcemanager.recovery.RMStateStore:
> Updating info for app: application_1510052734193_0005 2017-11-07
> 13:51:25,284 INFO
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler:
> Application appattempt_1510052734193_0005_000002 is done.
> finalState=FAILED 2017-11-07 13:51:25,284 INFO
> org.apache.hadoop.yarn.server.resourcemanager.recovery.FileSystemRMStateStore:
> Updating info for app: application_1510052734193_0005 at:
> /var/mapr/cluster/yarn/rm/system/FSRMStateRoot/RMAppRoot/application_1510052734193_0005/application_1510052734193_0005
> 2017-11-07 13:51:25,284 INFO
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.AppSchedulingInfo:
> Application application_1510052734193_0005 requests cleared 2017-11-07
> 13:51:25,296 INFO
> org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl:
> Application application_1510052734193_0005 failed 2 times due to AM
> Container for appattempt_1510052734193_0005_000002 exited with
> exitCode: 1 For more detailed output, check application tracking
> page:http://hdpsrvpre2.intranet.darty.fr:8088/cluster/app/application_1510052734193_0005Then,
> click on links to logs of each attempt. Diagnostics: Exception from
> container-launch. Container id:
> container_e10_1510052734193_0005_02_000001 Exit code: 1 Stack trace:
> ExitCodeException exitCode=1: at
> org.apache.hadoop.util.Shell.runCommand(Shell.java:545) at
> org.apache.hadoop.util.Shell.run(Shell.java:456) at
> org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:722)
> at
> org.apache.hadoop.yarn.server.nodemanager.LinuxContainerExecutor.launchContainer(LinuxContainerExecutor.java:304)
> at
> org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:354)
> at
> org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:87)
> at java.util.concurrent.FutureTask.run(FutureTask.java:262) at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1152)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:622)
> at java.lang.Thread.run(Thread.java:748) Shell output: main : command
> provided 1 main : user is mapr main : requested yarn user is mapr
>     
>     Container exited with a non-zero exit code 1 Failing this attempt. Failing the application.

另外，在作业的系统日志中，我发现:

2017-11-07 12:09:46,419 FATAL [main] app.DAGAppMaster: Error starting DAGAppMaster java.lang.IllegalArgumentException: Invalid ContainerId: container_e10_1510052734193_0001_01_000001 at org.apache.hadoop.yarn.util.ConverterUtils.toContainerId(ConverterUtils.java:182) at org.apache.tez.dag.app.DAGAppMaster.main(DAGAppMaster.java:1794) Caused by: java.lang.NumberFormatException: For input string: "e10"
at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65) at java.lang.Long.parseLong(Long.java:441) at java.lang.Long.parseLong(Long.java:483) at org.apache.hadoop.yarn.util.ConverterUtils.toApplicationAttemptId(ConverterUtils.java:137) at org.apache.hadoop.yarn.util.ConverterUtils.toContainerId(ConverterUtils.java:177) ... 1 more

似乎是引起问题的Tez，有解决方案吗？
谢谢 !

Answer 1

我认为执行环境具有hadoop的不同版本及其各自的jar文件。

请验证环境，并确保仅使用所需的版本，并从任何环境变量中删除其他版本的引用。