我是hipi/hadoop的新手,所以我选择cloudera quickstart vm(5.4.2)。我遵循入门教程来做这件事。在运行时,我发现hib文件中有如下文件:
[cloudera@quickstart tools]$ ./hibInfo.sh examples/sampleNew.hib --show-meta
Input HIB: examples/sampleNew.hib
Display meta data: true
Display EXIF data: false
IMAGE INDEX: 0
1244 x 829
format: 1
meta: {source=/home/cloudera/Downloads/hipi-release/web/examples/testimages/01.jpg}
IMAGE INDEX: 1
1106 x 829
format: 1
meta: {source=/home/cloudera/Downloads/hipi-release/web/examples/testimages/02.jpg}
IMAGE INDEX: 2
933 x 700
format: 1
meta: {source=/home/cloudera/Downloads/hipi-release/web/examples/testimages/03.jpg}
IMAGE INDEX: 3
1106 x 829
format: 1
meta: {source=/home/cloudera/Downloads/hipi-release/web/examples/testimages/04.jpg}
IMAGE INDEX: 4
1244 x 829
format: 1
meta: {source=/home/cloudera/Downloads/hipi-release/web/examples/testimages/05.jpg}
IMAGE INDEX: 5
1555 x 1166
format: 1
meta: {source=/home/cloudera/Downloads/hipi-release/web/examples/testimages/06.jpg}
IMAGE INDEX: 6
1244 x 829
format: 1
meta: {source=/home/cloudera/Downloads/hipi-release/web/examples/testimages/07.jpg}
IMAGE INDEX: 7
1244 x 829
format: 1
meta: {source=/home/cloudera/Downloads/hipi-release/web/examples/testimages/08.jpg}
IMAGE INDEX: 8
576 x 383
format: 1
meta: {source=/home/cloudera/Downloads/hipi-release/web/examples/testimages/09.jpg}
IMAGE INDEX: 9
576 x 383
format: 1
meta: {source=/home/cloudera/Downloads/hipi-release/web/examples/testimages/10.jpg}
IMAGE INDEX: 10
737 x 475
format: 1
meta: {source=/home/cloudera/Downloads/hipi-release/web/examples/testimages/11.jpg}
IMAGE INDEX: 11
614 x 460
format: 2
meta: {source=/home/cloudera/Downloads/hipi-release/web/examples/testimages/12.png}
Found [12] images.
但是当我试图用jar文件执行时,我得到了以下错误:
[cloudera@quickstart helloWorld]$ hadoop jar build/libs/helloWorld.jar examples/sampleNew.hib sampleimages_average
15/10/27 03:22:30 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/10/27 03:22:37 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/10/27 03:22:40 INFO input.FileInputFormat: Total input paths to process : 1
Spawned 1map tasks
15/10/27 03:22:48 INFO mapreduce.JobSubmitter: number of splits:1
15/10/27 03:22:50 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1445938202522_0003
15/10/27 03:23:00 INFO impl.YarnClientImpl: Submitted application application_1445938202522_0003
15/10/27 03:23:00 INFO mapreduce.Job: The url to track the job: http://quickstart.cloudera:8088/proxy/application_1445938202522_0003/
15/10/27 03:23:00 INFO mapreduce.Job: Running job: job_1445938202522_0003
15/10/27 03:23:43 INFO mapreduce.Job: Job job_1445938202522_0003 running in uber mode : false
15/10/27 03:23:43 INFO mapreduce.Job: map 0% reduce 0%
15/10/27 03:23:43 INFO mapreduce.Job: Job job_1445938202522_0003 failed with state FAILED due to: Application application_1445938202522_0003 failed 2 times due to AM Container for appattempt_1445938202522_0003_000002 exited with exitCode: 1
For more detailed output, check application tracking page:http://quickstart.cloudera:8088/proxy/application_1445938202522_0003/Then, click on links to logs of each attempt.
Diagnostics: Exception from container-launch.
Container id: container_1445938202522_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:745)
Container exited with a non-zero exit code 1
资源管理器下的日志文件显示:
Failed while trying to construct the redirect url to the log server. Log Server url may not be configured
java.lang.Exception: Unknown container. Container either has not started or has already completed or doesn't belong to this node at all.
帮助我。我找不到错误。
我使用的是Java1.8,Hadoop2.6.0-cdh5.4.2,
hadoop\u classpath:/usr/lib/hadoop/lib hadoop\u yarn\u home:/usr/lib/hadoop yarn hadoop\u mapred\u home:/usr/lib/hadoop mapreduce hadoop\u conf\u dir:/etc/hadoop/conf
我已经用wordcount示例进行了测试,这是一个成功的例子。
1条答案
按热度按时间ipakzgxi1#
我通过还原两个hipi和hadoop之间不匹配的java版本修复了这个问题。我用hadoopjava版本构建hipi,这个问题就解决了。