[hadoop] hadoop 运行 wordcount

讲准备好的文本文件放到hdfs中

执行 hadoop 安装包中的例子

[[email protected] mapreduce]# hadoop jar hadoop-mapreduce-examples-2.8.0.jar  wordcount /input/ /output/wordcount
17/05/14 02:01:17 INFO client.RMProxy: Connecting to ResourceManager at hadoop01/172.16.253.128:8032
17/05/14 02:01:19 INFO input.FileInputFormat: Total input files to process : 2
17/05/14 02:01:19 INFO mapreduce.JobSubmitter: number of splits:2
17/05/14 02:01:19 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1494742494825_0002
17/05/14 02:01:20 INFO impl.YarnClientImpl: Submitted application application_1494742494825_0002
17/05/14 02:01:20 INFO mapreduce.Job: The url to track the job: http://hadoop01:8088/proxy/application_1494742494825_0002/
17/05/14 02:01:20 INFO mapreduce.Job: Running job: job_1494742494825_0002
17/05/14 02:01:35 INFO mapreduce.Job: Job job_1494742494825_0002 running in uber mode : false
17/05/14 02:01:35 INFO mapreduce.Job:  map 0% reduce 0%
17/05/14 02:02:48 INFO mapreduce.Job:  map 100% reduce 0%
17/05/14 02:03:22 INFO mapreduce.Job:  map 100% reduce 100%
17/05/14 02:03:25 INFO mapreduce.Job: Job job_1494742494825_0002 completed successfully
17/05/14 02:03:28 INFO mapreduce.Job: Counters: 49
        File System Counters
                FILE: Number of bytes read=350
                FILE: Number of bytes written=408885
                FILE: Number of read operations=0
                FILE: Number of large read operations=0
                FILE: Number of write operations=0
                HDFS: Number of bytes read=584
                HDFS: Number of bytes written=145
                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)=145615
                Total time spent by all reduces in occupied slots (ms)=17369
                Total time spent by all map tasks (ms)=145615
                Total time spent by all reduce tasks (ms)=17369
                Total vcore-milliseconds taken by all map tasks=145615
                Total vcore-milliseconds taken by all reduce tasks=17369
                Total megabyte-milliseconds taken by all map tasks=149109760
                Total megabyte-milliseconds taken by all reduce tasks=17785856
        Map-Reduce Framework
                Map input records=14
                Map output records=70
                Map output bytes=666
                Map output materialized bytes=356
                Input split bytes=196
                Combine input records=70
                Combine output records=30
                Reduce input groups=19
                Reduce shuffle bytes=356
                Reduce input records=30
                Reduce output records=19
                Spilled Records=60
                Shuffled Maps =2
                Failed Shuffles=0
                Merged Map outputs=2
                GC time elapsed (ms)=9667
                CPU time spent (ms)=3210
                Physical memory (bytes) snapshot=330969088
                Virtual memory (bytes) snapshot=6192197632
                Total committed heap usage (bytes)=259284992
        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=388
        File Output Format Counters
                Bytes Written=145

查看执行结果：