hadoop錯誤org.apache.hadoop.yarn.exceptions.YarnException Unauthorized request to start container
錯誤:
17/11/22 15:17:15 INFO client.RMProxy: Connecting to ResourceManager at Master/192.168.136.100:8032
17/11/22 15:17:16 INFO input.FileInputFormat: Total input paths to process : 1
17/11/22 15:17:16 WARN hdfs.DFSClient: Caught exception
java.lang.InterruptedException
at java.lang.Object.wait(Native Method)
at java.lang.Thread.join(Thread.java:1252)
at java.lang.Thread.join(Thread.java:1326)
at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.closeResponder(DFSOutputStream.java:609)
at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.endBlock(DFSOutputStream.java:370)
at org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:546)
17/11/22 15:17:17 INFO mapreduce.JobSubmitter: number of splits:1
17/11/22 15:17:17 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1511275253885_0004
17/11/22 15:17:17 INFO impl.YarnClientImpl: Submitted application application_1511275253885_0004
17/11/22 15:17:17 INFO mapreduce.Job: The url to track the job: http://Master:8088/proxy/application_1511275253885_0004/
17/11/22 15:17:17 INFO mapreduce.Job: Running job: job_1511275253885_0004
17/11/22 15:17:19 INFO mapreduce.Job: Job job_1511275253885_0004 running in uber mode : false
17/11/22 15:17:19 INFO mapreduce.Job: map 0% reduce 0%
17/11/22 15:17:19 INFO mapreduce.Job: Job job_1511275253885_0004 failed with state FAILED due to: Application application_1511275253885_0004 failed 2 times due to Error launching appattempt_1511275253885_0004_000002. Got exception: org.apache.hadoop.yarn.exceptions.YarnException: Unauthorized request to start container.
This token is expired. current time is 1511363838355 found 1511335638708
Note: System times on machines may be out of sync. Check system time and time zones.
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.apache.hadoop.yarn.api.records.impl.pb.SerializedExceptionPBImpl.instantiateException(SerializedExceptionPBImpl.java:168)
at org.apache.hadoop.yarn.api.records.impl.pb.SerializedExceptionPBImpl.deSerialize(SerializedExceptionPBImpl.java:106)
at org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher.launch(AMLauncher.java:122)
at org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher.run(AMLauncher.java:250)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
. Failing the application.
17/11/22 15:17:19 INFO mapreduce.Job: Counters: 0
[ [email protected] mapreduce]# cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime
cp: "/usr/share/zoneinfo/Asia/Shanghai" 與"/etc/localtime" 為同一檔案
[[email protected] mapreduce]# ntpdate pool.ntp.org
22 Nov 15:21:30 ntpdate[28360]: step time server 193.228.143.22 offset -11.343113 sec
[[email protected] mapreduce]# ^C
[ [email protected] mapreduce]# ntpdate pool.ntp.org
22 Nov 15:22:12 ntpdate[28365]: adjust time server 193.228.143.22 offset 0.004859 sec
[[email protected] mapreduce]# ntpdate s2c.time.edu.cn
22 Nov 15:31:59 ntpdate[28423]: adjust time server 202.112.10.36 offset -0.017539 sec
原因:
namenode,datanode時間同步問題
解決辦法:
多個datanode與namenode進行時間同步,在每臺伺服器(master slave1 slaves2)執行如下兩個命令進行同步
例如:
[[email protected] mapreduce]# cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime
cp:是否覆蓋"/etc/localtime"? y
[[email protected] mapreduce]# ntpdate s2c.time.edu.cn
注意:如果提示說:
[[email protected] mapreduce]# ntpdate pool.ntp.org -bash: ntpdate: command not found
應該先下載ntpdate:
yum install -y ntp
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