我试图启动mapreduce作业，但在shell或hive中执行作业时出错：
hive>从员工中选择计数(*)；查询ID=mapr_20171107135114_a574713d-7d69-45e1-a73-d4de07a3059b作业总数=1正在启动作业1(共1个)在确定的减少任务数编译时间：1为了更改减速器的平均负载(Inbytes)：set hive.exec.ereducers.bytes.per.ereducer=为了限制减速器的最大数量：设置hive.exec.reducers.max=为了将reducers:set mapreduce.job.resources=正在启动作业=job_1510052734193_0005，跟踪URL=http://hdpsrvpre2.intranet.darty.fr:8088/proxy/application_1510052734193_0005/Kill命令=/opt/mapr/hadoop/hadop-2.7.0/bin/hadoop job-Killjob_1510052734193_0005第1阶段的Hadoop作业信息：数量映射程序：0；减速器数量：0 2017-11-07 13:51:25951第一阶段地图=0%，reduce=0%结束作业=作业_1510052734193_0005有错误作业期间出错，正在获取调试信息**失败：执行错误，从org.apache.hadop.hive.ql.exec.mr.MapRedTask返回代码2MapReduce作业启动：阶段-1:MAPRFS读取：0 MAPRFS写入：0失败MapReduce CPU总花费时间：0毫秒
在资源管理器中记录我发现的：
> 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.
此外，在作业的系统日志中，我发现：
2017-11-07 12:09:46419FATAL[main]应用程序。DAGAppMaster:启动时出错DAGAppMaster java.lang.IollegalArgumentException：无效的ContainerId:container_e10_15105022734193_0001_01_ 000001位于org.apache.hadop.yarn.util.ConvererUtils.toContainerId(ConverterUtils.java:182)网址：org.apache.tez.dag.app.DAGAPMaster.main(DAGAPMaster.java:1794)由：java.lang.NumberFormatException引起：对于位于的输入字符串："e10">
java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)在java.lang.Long.parseLong(Long.java:441)java.lang.Long.parseLong(Long.java:483)org.apache.hadop.yarn.util.ConvererUtils.toApplicationAttemptId(转换器Utils.java:137)在org.apache.hadop.yarn.util.ConvererUtils.toContainerId(ConverterUtils.java:177)…还有1个
似乎是Tez造成了这个问题，有什么解决方案吗？非常感谢。
我认为执行环境有不同版本的hadoop及其各自的jar文件。
请验证环境，确保只使用所需的版本，并从任何环境变量中删除其他版本的引用。