[wyp @wyp Hadoop_jar]$ /home/wyp/Downloads/hadoop/bin/hadoop jar \
/home/wyp/IdeaProjects/Hadoop/out/artifacts/Hadoop_jar/Hadoop.jar \
com/wyp/hadoop/MaxTemperature \
/user/wyp/data.txt \
/user/wyp/result
（上面是一条命令，由于太长了，所以我分行写，在实际情况中，请写一行！）其中，/home/wyp/Downloads/hadoop/bin/hadoop是hadoop的绝对路径，如果你在环境变量中配置好hadoop命令的路径就不需要这样写；com/wyp/hadoop/MaxTemperature是上面程序的main函数的入口；/user/wyp/data.txt是Hadoop文件系统（HDFS）中的绝对路径（注意：这里不是你Linux系统中的绝对路径！），为需要分析文件的路径（也就是input）；/user/wyp/result是分析结果 输出的绝对路径（注意：这里不是你Linux系统中的绝对路径！而是HDFS上面的路径！而且/user/wyp/result一定不能存在，否则会抛出异常！这是Hadoop的保护机制，你总不想你以前运行好几天的程序突然被你不小心给覆盖掉了吧？所以，如果/user/wyp/result存在，程序会抛出异常，很不错啊）。好了。输入上面的命令，应该会得到下面类似的 输出：
13/10/28 15:20:44 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
13/10/28 15:20:44 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
13/10/28 15:20:45 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
13/10/28 15:20:45 WARN mapreduce.JobSubmitter: No job jar file set. User classes may not be found. See Job or Job#setJar(String).
13/10/28 15:20:45 INFO mapred.FileInputFormat: Total input paths to process : 1
13/10/28 15:20:46 INFO mapreduce.JobSubmitter: number of splits:2
13/10/28 15:20:46 INFO Configuration.deprecation: user.name is deprecated. Instead, use mapreduce.job.user.name
13/10/28 15:20:46 INFO Configuration.deprecation: mapred.output.value.class is deprecated. Instead, use mapreduce.job.output.value.class
13/10/28 15:20:46 INFO Configuration.deprecation: mapred.job.name is deprecated. Instead, use mapreduce.job.name
13/10/28 15:20:46 INFO Configuration.deprecation: mapred.input.dir is deprecated. Instead, use mapreduce.input.fileinputformat.inputdir
13/10/28 15:20:46 INFO Configuration.deprecation: mapred.output.dir is deprecated. Instead, use mapreduce.output.fileoutputformat.outputdir
13/10/28 15:20:46 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
13/10/28 15:20:46 INFO Configuration.deprecation: mapred.output.key.class is deprecated. Instead, use mapreduce.job.output.key.class
13/10/28 15:20:46 INFO Configuration.deprecation: mapred.working.dir is deprecated. Instead, use mapreduce.job.working.dir
13/10/28 15:20:46 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1382942307976_0008
13/10/28 15:20:47 INFO mapred.YARNRunner: Job jar is not present. Not adding any jar to the list of resources.
13/10/28 15:20:49 INFO impl.YarnClientImpl: Submitted application application_1382942307976_0008 to ResourceManager at /0.0.0.0:8032
13/10/28 15:20:49 INFO mapreduce.Job: The url to track the job: http://wyp:8088/proxy/application_1382942307976_0008/
13/10/28 15:20:49 INFO mapreduce.Job: Running job: job_1382942307976_0008
13/10/28 15:20:59 INFO mapreduce.Job: Job job_1382942307976_0008 running in uber mode : false
13/10/28 15:20:59 INFO mapreduce.Job: map 0% reduce 0%
13/10/28 15:21:35 INFO mapreduce.Job: map 100% reduce 0%
13/10/28 15:21:38 INFO mapreduce.Job: map 0% reduce 0%
13/10/28 15:21:38 INFO mapreduce.Job: Task Id : attempt_1382942307976_0008_m_000000_0, Status : FAILED
Error: java.lang.RuntimeException: Error in configuring object
at org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:109)
at org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:75)
at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:133)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:425)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:162)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:157)
Caused by: java.lang.reflect.InvocationTargetException
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:106)
... 9 more
Caused by: java.lang.RuntimeException: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class com.wyp.hadoop.MaxTemperatureMapper1 not found
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1752)
at org.apache.hadoop.mapred.JobConf.getMapperClass(JobConf.java:1058)
at org.apache.hadoop.mapred.MapRunner.configure(MapRunner.java:38)
... 14 more
Caused by: java.lang.RuntimeException: java.lang.ClassNotFoundException: Class com.wyp.hadoop.MaxTemperatureMapper1 not found
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1720)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1744)
... 16 more
Caused by: java.lang.ClassNotFoundException: Class com.wyp.hadoop.MaxTemperatureMapper1 not found
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:1626)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1718)
... 17 more
Container killed by the ApplicationMaster.
Container killed on request. Exit code is 143 [wyp @wyp Hadoop_jar]$ export \
HADOOP_CLASSPATH=/home/wyp/IdeaProjects/Hadoop/out/artifacts/Hadoop_jar/
其中，/home/wyp/IdeaProjects/Hadoop/out/artifacts/Hadoop_jar/是上面Hadoop.jar文件所在的目录。好了，现在再运行一下Hadoop作业命令：
[wyp@wyp Hadoop_jar]$ hadoop jar /home/wyp/IdeaProjects/Hadoop/out/artifacts/Hadoop_jar/Hadoop.jar com/wyp/hadoop/MaxTemperature /user/wyp/data.txt /user/wyp/result
13/10/28 15:34:16 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
13/10/28 15:34:16 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
13/10/28 15:34:17 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
13/10/28 15:34:17 INFO mapred.FileInputFormat: Total input paths to process : 1
13/10/28 15:34:17 INFO mapreduce.JobSubmitter: number of splits:2
13/10/28 15:34:17 INFO Configuration.deprecation: user.name is deprecated. Instead, use mapreduce.job.user.name
13/10/28 15:34:17 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar
13/10/28 15:34:17 INFO Configuration.deprecation: mapred.output.value.class is deprecated. Instead, use mapreduce.job.output.value.class
13/10/28 15:34:17 INFO Configuration.deprecation: mapred.job.name is deprecated. Instead, use mapreduce.job.name
13/10/28 15:34:17 INFO Configuration.deprecation: mapred.input.dir is deprecated. Instead, use mapreduce.input.fileinputformat.inputdir
13/10/28 15:34:17 INFO Configuration.deprecation: mapred.output.dir is deprecated. Instead, use mapreduce.output.fileoutputformat.outputdir
13/10/28 15:34:17 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
13/10/28 15:34:17 INFO Configuration.deprecation: mapred.output.key.class is deprecated. Instead, use mapreduce.job.output.key.class
13/10/28 15:34:17 INFO Configuration.deprecation: mapred.working.dir is deprecated. Instead, use mapreduce.job.working.dir
13/10/28 15:34:18 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1382942307976_0009
13/10/28 15:34:18 INFO impl.YarnClientImpl: Submitted application application_1382942307976_0009 to ResourceManager at /0.0.0.0:8032
13/10/28 15:34:18 INFO mapreduce.Job: The url to track the job: http://wyp:8088/proxy/application_1382942307976_0009/
13/10/28 15:34:18 INFO mapreduce.Job: Running job: job_1382942307976_0009
13/10/28 15:34:26 INFO mapreduce.Job: Job job_1382942307976_0009 running in uber mode : false
13/10/28 15:34:26 INFO mapreduce.Job: map 0% reduce 0%
13/10/28 15:34:41 INFO mapreduce.Job: map 50% reduce 0%
13/10/28 15:34:53 INFO mapreduce.Job: map 100% reduce 0%
13/10/28 15:35:17 INFO mapreduce.Job: map 100% reduce 100%
13/10/28 15:35:18 INFO mapreduce.Job: Job job_1382942307976_0009 completed successfully
13/10/28 15:35:18 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=144425
FILE: Number of bytes written=524725
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=1777598
HDFS: Number of bytes written=18
HDFS: Number of read operations=9
HDFS: Number of large read operations=0
HDFS: Number of write operations=2
Job Counters
Launched map tasks=2
Launched reduce tasks=1
Data-local map tasks=2
Total time spent by all maps in occupied slots (ms)=38057
Total time spent by all reduces in occupied slots (ms)=24800
Map-Reduce Framework
Map input records=13130
Map output records=13129
Map output bytes=118161
Map output materialized bytes=144431
Input split bytes=182
Combine input records=0
Combine output records=0
Reduce input groups=2
Reduce shuffle bytes=144431
Reduce input records=13129
Reduce output records=2
Spilled Records=26258
Shuffled Maps =2
Failed Shuffles=0
Merged Map outputs=2
GC time elapsed (ms)=321
CPU time spent (ms)=5110
Physical memory (bytes) snapshot=552824832
Virtual memory (bytes) snapshot=1228738560
Total committed heap usage (bytes)=459800576
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=1777416
File Output Format Counters
Bytes Written=18 [wyp @wyp Hadoop_jar]$ hadoop fs -ls /user/wyp
Found 2 items
-rw-r--r-- 1 wyp supergroup 1777168 2013 - 10 - 25 17 : 44 /user/wyp/data.txt
drwxr-xr-x - wyp supergroup 0 2013 - 10 - 28 15 : 35 /user/wyp/result
[wyp @wyp Hadoop_jar]$ hadoop fs -ls /user/wyp/result
Found 2 items
-rw-r--r-- 1 wyp supergroup 0 2013 - 10 - 28 15 : 35 /user/wyp/result/_SUCCESS
-rw-r--r-- 1 wyp supergroup 18 2013 - 10 - 28 15 : 35 /user/wyp/result/part- 00000
[wyp @wyp Hadoop_jar]$ hadoop fs -cat /user/wyp/result/part- 00000
1901 317
1902 244
到此，你自己写好的一个 Mapreduce 程序终于成功运行了！
附程序测试的数据的下载地址：http://pan.baidu测试数据/s/1iSacM
过往记忆（http://HdhCmsTestiteblog测试数据/）
编写简单的Mapreduce程序并部署在Hadoop2.2.0上运行（http://HdhCmsTestiteblog测试数据/archives/789）
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