Hadoop集群上跑mapreduce，在job任务执行完成退出时报 java.io.IOException: Job status not available异常。Job client请求job状态时，Application已经完成转而去Job history server请求job状态，就在这里抛出异常。
[xubc@master conf]$ hadoop jar /usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar wordcount /user/lizeyi/people.txt /user/lizeyi/wordcount7
15/06/08 18:36:16 INFO client.RMProxy: Connecting to ResourceManager at master.hadoop/10.3.4.35:8032
15/06/08 18:36:17 INFO input.FileInputFormat: Total input paths to process : 1
15/06/08 18:36:17 INFO lzo.GPLNativeCodeLoader: Loaded native gpl library
15/06/08 18:36:17 INFO lzo.LzoCodec: Successfully loaded & initialized native-lzo library [hadoop-lzo rev 39cf0c71a251a79c50555810ca660450d9682140]
15/06/08 18:36:17 INFO mapreduce.JobSubmitter: number of splits:1
15/06/08 18:36:18 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1433756996622_0004
15/06/08 18:36:18 INFO impl.YarnClientImpl: Submitted application application_1433756996622_0004
15/06/08 18:36:18 INFO mapreduce.Job: The url to track the job: http://master.hadoop:8088/proxy/application_1433756996622_0004/
15/06/08 18:36:18 INFO mapreduce.Job: Running job: job_1433756996622_0004
15/06/08 18:36:40 INFO mapred.ClientServiceDelegate: Application state is completed. FinalApplicationStatus=SUCCEEDED. Redirecting to job history server
java.io.IOException: Job status not available
at org.apache.hadoop.mapreduce.Job.updateStatus(Job.java:322)
at org.apache.hadoop.mapreduce.Job.isComplete(Job.java:609)
at org.apache.hadoop.mapreduce.Job.monitorAndPrintJob(Job.java:1354)
at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1316)
at org.apache.hadoop.examples.WordCount.main(WordCount.java:87)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:72)
at org.apache.hadoop.util.ProgramDriver.run(ProgramDriver.java:145)
at org.apache.hadoop.examples.ExampleDriver.main(ExampleDriver.java:74)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.util.RunJar.main(RunJar.java:212)
须配置Job History Server相关参数，让Job Client可以读取job最后的执行状态，测试Hadoop版本2.5.0
添加参数vim mapred-site.xml
[xubc@master conf]$ hadoop jar /usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar wordcount /user/lizeyi/people.txt /user/lizeyi/wordcount9
15/06/08 18:54:04 INFO client.RMProxy: Connecting to ResourceManager at master.hadoop/10.3.4.35:8032
15/06/08 18:54:06 INFO input.FileInputFormat: Total input paths to process : 1
15/06/08 18:54:06 INFO lzo.GPLNativeCodeLoader: Loaded native gpl library
15/06/08 18:54:06 INFO lzo.LzoCodec: Successfully loaded & initialized native-lzo library [hadoop-lzo rev 39cf0c71a251a79c50555810ca660450d9682140]
15/06/08 18:54:06 INFO mapreduce.JobSubmitter: number of splits:1
15/06/08 18:54:06 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1433760669916_0001
15/06/08 18:54:07 INFO impl.YarnClientImpl: Submitted application application_1433760669916_0001
15/06/08 18:54:07 INFO mapreduce.Job: The url to track the job: http://master.hadoop:8088/proxy/application_1433760669916_0001/
15/06/08 18:54:07 INFO mapreduce.Job: Running job: job_1433760669916_0001
15/06/08 18:54:34 INFO mapred.ClientServiceDelegate: Application state is completed. FinalApplicationStatus=SUCCEEDED. Redirecting to job history server
15/06/08 18:54:35 INFO mapreduce.Job: Job job_1433760669916_0001 running in uber mode : false
15/06/08 18:54:35 INFO mapreduce.Job: map 100% reduce 100%
15/06/08 18:54:35 INFO mapreduce.Job: Job job_1433760669916_0001 completed successfully
15/06/08 18:54:35 INFO mapreduce.Job: Counters: 49
File System Counters
FILE: Number of bytes read=68
FILE: Number of bytes written=205241
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=151
HDFS: Number of bytes written=46
HDFS: Number of read operations=6
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=6036
Total time spent by all reduces in occupied slots (ms)=6132
Total time spent by all map tasks (ms)=6036
Total time spent by all reduce tasks (ms)=6132
Total vcore-seconds taken by all map tasks=6036
Total vcore-seconds taken by all reduce tasks=6132
Total megabyte-seconds taken by all map tasks=6180864
Total megabyte-seconds taken by all reduce tasks=6279168
Map-Reduce Framework
Map input records=4
Map output records=4
Map output bytes=54
Map output materialized bytes=68
Input split bytes=113
Combine input records=4
Combine output records=4
Reduce input groups=4
Reduce shuffle bytes=68
Reduce input records=4
Reduce output records=4
Spilled Records=8
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=82
CPU time spent (ms)=2150
Physical memory (bytes) snapshot=447897600
Virtual memory (bytes) snapshot=1986359296
Total committed heap usage (bytes)=355467264
Shuffle Errors
BAD_ID=0
CONNECTION=0
IO_ERROR=0
WRONG_LENGTH=0
WRONG_MAP=0
WRONG_REDUCE=0
File Input Format Counters
Bytes Read=38
File Output Format Counters
Bytes Written=46
QQ群⑧：
窥视卡
雷达卡
发表于 2015-6-9 08:56:07
提升卡
置顶卡
沉默卡
喧嚣卡
变色卡
千斤顶
显身卡