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Hadoop2.2.0 实例测试 WordCount程序

virgo 2014-3-27 15:53:53 发表于 实操演练 [显示全部楼层] 回帖奖励 阅读模式 关闭右栏 1 11624
如何在Hadoop2.2.0 实例测试 WordCount程序?

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virgo 发表于 2014-3-27 15:55:11
装好的hadoop测试一1个示例程序WordCount,首先需要在操作系统上新建两个任意文件,然后上传到hadoop,再运行该程序统计文件中单词的个数,最后查看结果。


在操作系统上新建任意文件:

例如:
[hadoop@hadoop01 input]$ ls
test1.txt  test2.txt
查看hadoop的文件系统目录[hadoop@hadoop01 input]$ hadoop fs -ls /
Found 1 items
drwxr-xr-x   - hadoop supergroup          0 2013-10-30 00:00 /input
上传至hadoop的/input下[hadoop@hadoop01 input]$ hadoop fs -put ./ /input
[hadoop@hadoop01 input]$ hadoop fs -ls /input
Found 2 items
-rw-r--r--   3 hadoop supergroup         12 2013-10-30 00:00 /input/test1.txt
-rw-r--r--   3 hadoop supergroup         13 2013-10-30 00:00 /input/test2.txt


在hadoop文件系统命令查看这两个文件的内容:[hadoop@hadoop01 test]$ hadoop fs -cat /input/test1.txt
hello world
[hadoop@hadoop01 test]$ hadoop fs -cat /input/test2.txt
hello hadoop


运行示例程序(WordCount):

[hadoop@hadoop01 test]$ hadoop jar $HADOOP_HOME/share/hadoop/mapreduce/sources/hadoop-mapreduce-examples-2.2.0-sources.jar org.apache.hadoop.examples.WordCount /input /output
13/11/06 21:33:40 INFO Configuration.deprecation: session.id is deprecated. Instead, use dfs.metrics.session-id
13/11/06 21:33:40 INFO jvm.JvmMetrics: Initializing JVM Metrics with processName=JobTracker, sessionId=
13/11/06 21:33:40 INFO input.FileInputFormat: Total input paths to process : 2
13/11/06 21:33:41 INFO mapreduce.JobSubmitter: number of splits:2
13/11/06 21:33:41 INFO Configuration.deprecation: user.name is deprecated. Instead, use mapreduce.job.user.name
13/11/06 21:33:41 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar
13/11/06 21:33:41 INFO Configuration.deprecation: mapred.output.value.class is deprecated. Instead, use mapreduce.job.output.value.class
13/11/06 21:33:41 INFO Configuration.deprecation: mapreduce.combine.class is deprecated. Instead, use mapreduce.job.combine.class
13/11/06 21:33:41 INFO Configuration.deprecation: mapreduce.map.class is deprecated. Instead, use mapreduce.job.map.class
13/11/06 21:33:41 INFO Configuration.deprecation: mapred.job.name is deprecated. Instead, use mapreduce.job.name
13/11/06 21:33:41 INFO Configuration.deprecation: mapreduce.reduce.class is deprecated. Instead, use mapreduce.job.reduce.class
13/11/06 21:33:41 INFO Configuration.deprecation: mapred.input.dir is deprecated. Instead, use mapreduce.input.fileinputformat.inputdir
13/11/06 21:33:41 INFO Configuration.deprecation: mapred.output.dir is deprecated. Instead, use mapreduce.output.fileoutputformat.outputdir
13/11/06 21:33:41 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
13/11/06 21:33:41 INFO Configuration.deprecation: mapred.output.key.class is deprecated. Instead, use mapreduce.job.output.key.class
13/11/06 21:33:41 INFO Configuration.deprecation: mapred.working.dir is deprecated. Instead, use mapreduce.job.working.dir
13/11/06 21:33:41 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_local382050821_0001
13/11/06 21:33:41 WARN conf.Configuration: file:/hadoop/hdfs/tmp/hadoop-hadoop/mapred/staging/hadoop382050821/.staging/job_local382050821_0001/job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.retry.interval;  Ignoring.
13/11/06 21:33:41 WARN conf.Configuration: file:/hadoop/hdfs/tmp/hadoop-hadoop/mapred/staging/hadoop382050821/.staging/job_local382050821_0001/job.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.attempts;  Ignoring.
13/11/06 21:33:42 WARN conf.Configuration: file:/hadoop/hdfs/tmp/hadoop-hadoop/mapred/local/localRunner/hadoop/job_local382050821_0001/job_local382050821_0001.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.retry.interval;  Ignoring.
13/11/06 21:33:42 WARN conf.Configuration: file:/hadoop/hdfs/tmp/hadoop-hadoop/mapred/local/localRunner/hadoop/job_local382050821_0001/job_local382050821_0001.xml:an attempt to override final parameter: mapreduce.job.end-notification.max.attempts;  Ignoring.
13/11/06 21:33:42 INFO mapreduce.Job: The url to track the job: :8080/
13/11/06 21:33:42 INFO mapreduce.Job: Running job: job_local382050821_0001
13/11/06 21:33:42 INFO mapred.LocalJobRunner: OutputCommitter set in config null
13/11/06 21:33:42 INFO mapred.LocalJobRunner: OutputCommitter is org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter
13/11/06 21:33:42 INFO mapred.LocalJobRunner: Waiting for map tasks
13/11/06 21:33:42 INFO mapred.LocalJobRunner: Starting task: attempt_local382050821_0001_m_000000_0
13/11/06 21:33:42 INFO mapred.Task:  Using ResourceCalculatorProcessTree : [ ]
13/11/06 21:33:42 INFO mapred.MapTask: Processing split: hdfs://hadoop01:9000/input/test2.txt:0+13
13/11/06 21:33:42 INFO mapred.MapTask: Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer
13/11/06 21:33:42 INFO mapred.MapTask: (EQUATOR) 0 kvi 26214396(104857584)
13/11/06 21:33:42 INFO mapred.MapTask: mapreduce.task.io.sort.mb: 100
13/11/06 21:33:42 INFO mapred.MapTask: soft limit at 83886080
13/11/06 21:33:42 INFO mapred.MapTask: bufstart = 0; bufvoid = 104857600
13/11/06 21:33:42 INFO mapred.MapTask: kvstart = 26214396; length = 6553600
13/11/06 21:33:43 INFO mapred.LocalJobRunner:
13/11/06 21:33:43 INFO mapred.MapTask: Starting flush of map output
13/11/06 21:33:43 INFO mapred.MapTask: Spilling map output
13/11/06 21:33:43 INFO mapred.MapTask: bufstart = 0; bufend = 21; bufvoid = 104857600
13/11/06 21:33:43 INFO mapred.MapTask: kvstart = 26214396(104857584); kvend = 26214392(104857568); length = 5/6553600
13/11/06 21:33:43 INFO mapred.MapTask: Finished spill 0
13/11/06 21:33:43 INFO mapred.Task: Task:attempt_local382050821_0001_m_000000_0 is done. And is in the process of committing
13/11/06 21:33:43 INFO mapreduce.Job: Job job_local382050821_0001 running in uber mode : false
13/11/06 21:33:43 INFO mapreduce.Job:  map 0% reduce 0%
13/11/06 21:33:43 INFO mapred.LocalJobRunner: map
13/11/06 21:33:43 INFO mapred.Task: Task 'attempt_local382050821_0001_m_000000_0' done.
13/11/06 21:33:43 INFO mapred.LocalJobRunner: Finishing task: attempt_local382050821_0001_m_000000_0
13/11/06 21:33:43 INFO mapred.LocalJobRunner: Starting task: attempt_local382050821_0001_m_000001_0
13/11/06 21:33:43 INFO mapred.Task:  Using ResourceCalculatorProcessTree : [ ]
13/11/06 21:33:43 INFO mapred.MapTask: Processing split: hdfs://hadoop01:9000/input/test1.txt:0+12
13/11/06 21:33:43 INFO mapred.MapTask: Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer
13/11/06 21:33:43 INFO mapred.MapTask: (EQUATOR) 0 kvi 26214396(104857584)
13/11/06 21:33:43 INFO mapred.MapTask: mapreduce.task.io.sort.mb: 100
13/11/06 21:33:43 INFO mapred.MapTask: soft limit at 83886080
13/11/06 21:33:43 INFO mapred.MapTask: bufstart = 0; bufvoid = 104857600
13/11/06 21:33:43 INFO mapred.MapTask: kvstart = 26214396; length = 6553600
13/11/06 21:33:43 INFO mapred.LocalJobRunner:
13/11/06 21:33:43 INFO mapred.MapTask: Starting flush of map output
13/11/06 21:33:43 INFO mapred.MapTask: Spilling map output
13/11/06 21:33:43 INFO mapred.MapTask: bufstart = 0; bufend = 20; bufvoid = 104857600
13/11/06 21:33:43 INFO mapred.MapTask: kvstart = 26214396(104857584); kvend = 26214392(104857568); length = 5/6553600
13/11/06 21:33:43 INFO mapred.MapTask: Finished spill 0
13/11/06 21:33:43 INFO mapred.Task: Task:attempt_local382050821_0001_m_000001_0 is done. And is in the process of committing
13/11/06 21:33:43 INFO mapred.LocalJobRunner: map
13/11/06 21:33:43 INFO mapred.Task: Task 'attempt_local382050821_0001_m_000001_0' done.
13/11/06 21:33:43 INFO mapred.LocalJobRunner: Finishing task: attempt_local382050821_0001_m_000001_0
13/11/06 21:33:43 INFO mapred.LocalJobRunner: Map task executor complete.
13/11/06 21:33:43 INFO mapred.Task:  Using ResourceCalculatorProcessTree : [ ]
13/11/06 21:33:43 INFO mapred.Merger: Merging 2 sorted segments
13/11/06 21:33:43 INFO mapred.Merger: Down to the last merge-pass, with 2 segments left of total size: 36 bytes
13/11/06 21:33:43 INFO mapred.LocalJobRunner:
13/11/06 21:33:43 INFO Configuration.deprecation: mapred.skip.on is deprecated. Instead, use mapreduce.job.skiprecords
13/11/06 21:33:44 INFO mapreduce.Job:  map 100% reduce 0%
13/11/06 21:33:44 INFO mapred.Task: Task:attempt_local382050821_0001_r_000000_0 is done. And is in the process of committing
13/11/06 21:33:44 INFO mapred.LocalJobRunner:
13/11/06 21:33:44 INFO mapred.Task: Task attempt_local382050821_0001_r_000000_0 is allowed to commit now
13/11/06 21:33:44 INFO output.FileOutputCommitter: Saved output of task 'attempt_local382050821_0001_r_000000_0' to hdfs://hadoop01:9000/output/_temporary/0/task_local382050821_0001_r_000000
13/11/06 21:33:44 INFO mapred.LocalJobRunner: reduce > reduce
13/11/06 21:33:44 INFO mapred.Task: Task 'attempt_local382050821_0001_r_000000_0' done.
13/11/06 21:33:45 INFO mapreduce.Job:  map 100% reduce 100%
13/11/06 21:33:45 INFO mapreduce.Job: Job job_local382050821_0001 completed successfully
13/11/06 21:33:45 INFO mapreduce.Job: Counters: 32
        File System Counters
                FILE: Number of bytes read=812174
                FILE: Number of bytes written=1395157
                FILE: Number of read operations=0
                FILE: Number of large read operations=0
                FILE: Number of write operations=0
                HDFS: Number of bytes read=63
                HDFS: Number of bytes written=25
                HDFS: Number of read operations=25
                HDFS: Number of large read operations=0
                HDFS: Number of write operations=5
        Map-Reduce Framework
                Map input records=2
                Map output records=4
                Map output bytes=41
                Map output materialized bytes=61
                Input split bytes=202
                Combine input records=4
                Combine output records=4
                Reduce input groups=3
                Reduce shuffle bytes=0
                Reduce input records=4
                Reduce output records=3
                Spilled Records=8
                Shuffled Maps =0
                Failed Shuffles=0
                Merged Map outputs=0
                GC time elapsed (ms)=146
                CPU time spent (ms)=0
                Physical memory (bytes) snapshot=0
                Virtual memory (bytes) snapshot=0
                Total committed heap usage (bytes)=456732672
        File Input Format Counters
                Bytes Read=25
        File Output Format Counters
                Bytes Written=25


查看程序运行结果:[hadoop@hadoop01 test]$ hadoop fs -cat /output/part-r-00000
hadoop  1
hello   2
world   1

转载自:http://94it.net/a/jingxuanboke/2013/1215/212191.html

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