Hadoop学习历程（四、运行一个真正的MapReduce程序）

rfcvd

　　上次的程序只是操作文件系统，本次运行一个真正的MapReduce程序。
　　
　　运行的是官方提供的例子程序wordcount，这个例子类似其他程序的hello world。
　　
　　1. 首先确认启动的正常：运行 start-all.sh
　　2. 执行jps命令检查：NameNode，DateNode，SecondaryNameNode，ResourceManager，NodeManager是否已经启动正常。这里我遇到了一个问题，NodeManager没有正常启动。错误信息如下：



2014-01-07 13:46:21,442 FATAL org.apache.hadoop.yarn.server.nodemanager.containermanager.AuxServices: Failed to initialize mapreduce.shuffle
java.lang.IllegalArgumentException: The ServiceName: mapreduce.shuffle set in yarn.nodemanager.aux-services is invalid.The valid service name should only contain a-zA-Z0-9_ and can not start with numbers
at com.google.common.base.Preconditions.checkArgument(Preconditions.java:88)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.AuxServices.serviceInit(AuxServices.java:98)
at org.apache.hadoop.service.AbstractService.init(AbstractService.java:163)
at org.apache.hadoop.service.CompositeService.serviceInit(CompositeService.java:108)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.ContainerManagerImpl.serviceInit(ContainerManagerImpl.java:218)
at org.apache.hadoop.service.AbstractService.init(AbstractService.java:163)
at org.apache.hadoop.service.CompositeService.serviceInit(CompositeService.java:108)
at org.apache.hadoop.yarn.server.nodemanager.NodeManager.serviceInit(NodeManager.java:188)
at org.apache.hadoop.service.AbstractService.init(AbstractService.java:163)
at org.apache.hadoop.yarn.server.nodemanager.NodeManager.initAndStartNodeManager(NodeManager.java:338)
at org.apache.hadoop.yarn.server.nodemanager.NodeManager.main(NodeManager.java:386)
　　经过检查，是配置文件中有点错误，请修改yarn-site.xml文件，更改为如下内容（原因不明）



   
yarn.nodemanager.aux-services
mapreduce_shuffle

　　
　　3. 准备数据：在hadoop文件系统中增加input/file1.txt和input/file2.txt



[iyunv@dbserver mapreduce]# hadoop fs -ls /input
Found 2 items
-rw-r--r--   1 root supergroup         12 2013-12-06 16:22 /input/file1.txt
-rw-r--r--   1 root supergroup         13 2013-12-06 16:22 /input/file2.txt


[iyunv@dbserver mapreduce]# hadoop fs -cat /input/file1.txt
Hello World


[iyunv@dbserver mapreduce]# hadoop fs -cat /input/file2.txt
Hello Hadoop
　　4. 例子程序的位置在：/hadoop-2.2.0-src/hadoop-dist/target/hadoop-2.2.0/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar



hadoop jar ./hadoop-mapreduce-examples-2.2.0.jar wordcount /input /output
　　画面输出内容



14/01/07 14:00:37 INFO client.RMProxy: Connecting to ResourceManager at localhost/127.0.0.1:8032
14/01/07 14:00:38 INFO input.FileInputFormat: Total input paths to process : 2
14/01/07 14:00:38 INFO mapreduce.JobSubmitter: number of splits:2
14/01/07 14:00:38 INFO Configuration.deprecation: user.name is deprecated. Instead, use mapreduce.job.user.name
14/01/07 14:00:38 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar
14/01/07 14:00:38 INFO Configuration.deprecation: mapred.output.value.class is deprecated. Instead, use mapreduce.job.output.value.class
14/01/07 14:00:38 INFO Configuration.deprecation: mapreduce.combine.class is deprecated. Instead, use mapreduce.job.combine.class
14/01/07 14:00:38 INFO Configuration.deprecation: mapreduce.map.class is deprecated. Instead, use mapreduce.job.map.class
14/01/07 14:00:38 INFO Configuration.deprecation: mapred.job.name is deprecated. Instead, use mapreduce.job.name
14/01/07 14:00:38 INFO Configuration.deprecation: mapreduce.reduce.class is deprecated. Instead, use mapreduce.job.reduce.class
14/01/07 14:00:38 INFO Configuration.deprecation: mapred.input.dir is deprecated. Instead, use mapreduce.input.fileinputformat.inputdir
14/01/07 14:00:38 INFO Configuration.deprecation: mapred.output.dir is deprecated. Instead, use mapreduce.output.fileoutputformat.outputdir
14/01/07 14:00:38 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
14/01/07 14:00:38 INFO Configuration.deprecation: mapred.output.key.class is deprecated. Instead, use mapreduce.job.output.key.class
14/01/07 14:00:38 INFO Configuration.deprecation: mapred.working.dir is deprecated. Instead, use mapreduce.job.working.dir
14/01/07 14:00:38 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1389074273046_0001
14/01/07 14:00:38 INFO impl.YarnClientImpl: Submitted application application_1389074273046_0001 to ResourceManager at localhost/127.0.0.1:8032
14/01/07 14:00:38 INFO mapreduce.Job: The url to track the job: http://dbserver:8088/proxy/application_1389074273046_0001/
14/01/07 14:00:38 INFO mapreduce.Job: Running job: job_1389074273046_0001
14/01/07 14:00:48 INFO mapreduce.Job: Job job_1389074273046_0001 running in uber mode : false
14/01/07 14:00:48 INFO mapreduce.Job:  map 0% reduce 0%
14/01/07 14:00:58 INFO mapreduce.Job:  map 100% reduce 0%
14/01/07 14:01:04 INFO mapreduce.Job:  map 100% reduce 100%
14/01/07 14:01:05 INFO mapreduce.Job: Job job_1389074273046_0001 completed successfully
14/01/07 14:01:05 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=55
FILE: Number of bytes written=236870
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=229
HDFS: Number of bytes written=25
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)=15178
Total time spent by all reduces in occupied slots (ms)=4384
Map-Reduce Framework
Map input records=2
Map output records=4
Map output bytes=41
Map output materialized bytes=61
Input split bytes=204
Combine input records=4
Combine output records=4
Reduce input groups=3
Reduce shuffle bytes=61
Reduce input records=4
Reduce output records=3
Spilled Records=8
Shuffled Maps =2
Failed Shuffles=0
Merged Map outputs=2
GC time elapsed (ms)=108
CPU time spent (ms)=2200
Physical memory (bytes) snapshot=568229888
Virtual memory (bytes) snapshot=2566582272
Total committed heap usage (bytes)=392298496
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=25
File Output Format Counters
Bytes Written=25
　　5. 查看运行结果：



[iyunv@dbserver mapreduce]# hadoop fs -ls /output
Found 2 items
-rw-r--r--   1 root supergroup          0 2014-01-07 14:01 /output/_SUCCESS
-rw-r--r--   1 root supergroup         25 2014-01-07 14:01 /output/part-r-00000
[iyunv@dbserver mapreduce]# hadoop fs -cat /output/part-r-00000
Hadoop  1
Hello   2
World   1