WARN mapred.JobClient: Error reading task outputNo route to host
主從節點的/etc/hosts檔案配置如下
[hadoop@master ~]$ cat /etc/hosts
127.0.0.1 localhost localdomain.localhost
::1 localhost6.localdomain6 localhost6
192.168.100.11 master.oracle.com master
192.168.100.12 slave1.oracle.com slave1
[hadoop@master ~]$
在主從節點執行jps都正常:
[hadoop@master ~]$ jps // 在主節點執行
4690 Jps
2413 JobTracker
2350 SecondaryNameNode
2229 NameNode
[hadoop@master ~]$
[hadoop@slave1 ~]$ jps // 在從節點執行
2248 TaskTracker
27778 Jps
2175 DataNode
[hadoop@slave1 ~]$
[hadoop@master ~]$ hadoop dfs -ls // 在主從節點執行此命令也正常
Found 5 items
drwxr-xr-x - hadoop supergroup 0 2012-10-16 13:24 /user/hadoop/dfsdir
drwxr-xr-x - hadoop supergroup 0 2012-10-16 14:08 /user/hadoop/output
drwxr-xr-x - hadoop supergroup 0 2012-10-16 14:14 /user/hadoop/output1
drwxr-xr-x - hadoop supergroup 0 2012-10-16 14:40 /user/hadoop/output2
drwxr-xr-x - hadoop supergroup 0 2012-10-16 14:43 /user/hadoop/output3
[hadoop@master ~]$
可在測試map/reduce的時候報錯:
[hadoop@master ~]$ hadoop jar hadoop-0.20.2-examples.jar wordcount dfsdir/test.txt output3
12/10/16 14:42:40 INFO input.FileInputFormat: Total input paths to process : 1
12/10/16 14:42:40 INFO mapred.JobClient: Running job: job_201210161256_0009
12/10/16 14:42:41 INFO mapred.JobClient: map 0% reduce 0%
12/10/16 14:42:50 INFO mapred.JobClient: map 100% reduce 0%
12/10/16 14:43:04 INFO mapred.JobClient: Task Id : attempt_201210161256_0009_r_000000_0, Status : FAILED
Shuffle Error: Exceeded MAX_FAILED_UNIQUE_FETCHES; bailing-out.
12/10/16 14:43:04 WARN mapred.JobClient: Error reading task outputNo route to host
12/10/16 14:43:04 WARN mapred.JobClient: Error reading task outputNo route to host
12/10/16 14:43:19 INFO mapred.JobClient: Task Id : attempt_201210161256_0009_r_000000_1, Status : FAILED
Shuffle Error: Exceeded MAX_FAILED_UNIQUE_FETCHES; bailing-out.
12/10/16 14:43:19 WARN mapred.JobClient: Error reading task outputNo route to host
12/10/16 14:43:19 WARN mapred.JobClient: Error reading task outputNo route to host
12/10/16 14:43:36 INFO mapred.JobClient: Task Id : attempt_201210161256_0009_r_000000_2, Status : FAILED
Shuffle Error: Exceeded MAX_FAILED_UNIQUE_FETCHES; bailing-out.
12/10/16 14:43:36 WARN mapred.JobClient: Error reading task outputNo route to host
12/10/16 14:43:36 WARN mapred.JobClient: Error reading task outputNo route to host
12/10/16 14:43:54 INFO mapred.JobClient: Job complete: job_201210161256_0009
12/10/16 14:43:54 INFO mapred.JobClient: Counters: 12
12/10/16 14:43:54 INFO mapred.JobClient: Job Counters
12/10/16 14:43:54 INFO mapred.JobClient: Launched reduce tasks=4
12/10/16 14:43:54 INFO mapred.JobClient: Launched map tasks=1
12/10/16 14:43:54 INFO mapred.JobClient: Data-local map tasks=1
12/10/16 14:43:54 INFO mapred.JobClient: Failed reduce tasks=1
12/10/16 14:43:54 INFO mapred.JobClient: FileSystemCounters
12/10/16 14:43:54 INFO mapred.JobClient: HDFS_BYTES_READ=12
12/10/16 14:43:54 INFO mapred.JobClient: FILE_BYTES_WRITTEN=62
12/10/16 14:43:54 INFO mapred.JobClient: Map-Reduce Framework
12/10/16 14:43:54 INFO mapred.JobClient: Combine output records=2
12/10/16 14:43:54 INFO mapred.JobClient: Map input records=1
12/10/16 14:43:54 INFO mapred.JobClient: Spilled Records=2
12/10/16 14:43:54 INFO mapred.JobClient: Map output bytes=20
12/10/16 14:43:54 INFO mapred.JobClient: Combine input records=2
12/10/16 14:43:54 INFO mapred.JobClient: Map output records=2
哪位大神遇到過此問題,給支個招吧!!!
問題終於解決:
[hadoop@master hadoop]$ hadoop jar hadoop-0.20.2-examples.jar wordcount dfsdir/test.txt output
12/10/16 15:30:10 INFO input.FileInputFormat: Total input paths to process : 1
12/10/16 15:30:11 INFO mapred.JobClient: Running job: job_201210161528_0001
12/10/16 15:30:12 INFO mapred.JobClient: map 0% reduce 0%
12/10/16 15:30:19 INFO mapred.JobClient: map 100% reduce 0%
12/10/16 15:30:31 INFO mapred.JobClient: map 100% reduce 100% // 執行成功了
12/10/16 15:30:33 INFO mapred.JobClient: Job complete: job_201210161528_0001
12/10/16 15:30:33 INFO mapred.JobClient: Counters: 17
12/10/16 15:30:33 INFO mapred.JobClient: Job Counters
12/10/16 15:30:33 INFO mapred.JobClient: Launched reduce tasks=1
12/10/16 15:30:33 INFO mapred.JobClient: Launched map tasks=1
12/10/16 15:30:33 INFO mapred.JobClient: Data-local map tasks=1
12/10/16 15:30:33 INFO mapred.JobClient: FileSystemCounters
12/10/16 15:30:33 INFO mapred.JobClient: FILE_BYTES_READ=30
12/10/16 15:30:33 INFO mapred.JobClient: HDFS_BYTES_READ=12
12/10/16 15:30:33 INFO mapred.JobClient: FILE_BYTES_WRITTEN=92
12/10/16 15:30:33 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=16
12/10/16 15:30:33 INFO mapred.JobClient: Map-Reduce Framework
12/10/16 15:30:33 INFO mapred.JobClient: Reduce input groups=2
12/10/16 15:30:33 INFO mapred.JobClient: Combine output records=2
12/10/16 15:30:33 INFO mapred.JobClient: Map input records=1
12/10/16 15:30:33 INFO mapred.JobClient: Reduce shuffle bytes=30
12/10/16 15:30:33 INFO mapred.JobClient: Reduce output records=2
12/10/16 15:30:33 INFO mapred.JobClient: Spilled Records=4
12/10/16 15:30:33 INFO mapred.JobClient: Map output bytes=20
12/10/16 15:30:33 INFO mapred.JobClient: Combine input records=2
12/10/16 15:30:33 INFO mapred.JobClient: Map output records=2
12/10/16 15:30:33 INFO mapred.JobClient: Reduce input records=2
[hadoop@master hadoop]$
錯誤原因:
[root@master ~]# cat /etc/sysconfig/network
NETWORKING=yes
HOSTNAME=master.oracle.com // 這是在報錯時的主機名配置
GATEWAY=192.168.100.1
[root@master ~]#
[hadoop@master hadoop]$ hostname
master.oracle.com
[hadoop@master hadoop]$
我在/etc/sysconfig/network 中設定主機名的時候設定的是master.oracle.com,而在/etc/hosts 中配置的主機名為:
192.168.100.11 master
後來把主機名更改為如下:
[hadoop@master hadoop]$ cat /etc/sysconfig/network
NETWORKING=yes
HOSTNAME=master
GATEWAY=192.168.100.1
[hadoop@master hadoop]$
[hadoop@master hadoop]$ hostname
master
[hadoop@master hadoop]$
[hadoop@master hadoop]$ cat /etc/hosts
127.0.0.1 localhost localdomain.localhost
::1 localhost6.localdomain6 localhost6
192.168.100.11 master
192.168.100.12 slave1
[hadoop@master hadoop]$
其他節點的修改一樣,注意這三地方的主機名都要一樣:
/etc/sysconfig/network
/etc/hosts
$hostname
[@more@]來自 “ ITPUB部落格 ” ,連結:http://blog.itpub.net/28254374/viewspace-1059607/,如需轉載,請註明出處,否則將追究法律責任。
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