我是hadoop的新手，我刚刚安装了hadoop 2.6。
似乎系统启动正常。我正在尝试运行单词count exmaple，问题是everthing似乎运行，输出文件夹是用2个文件创建的：-rw-r - r-- 1 yoni supergroup 0 2016-04-30 02:11 / user / yoni / output100 / _SUCCESS -rw-r - r-- 1 yoni supergroup 0 2016-04-30 02:11 / user / yoni / output100 / part-r-00000
但该文件为空-part-r-00000。问题是我不知道要找到问题，
这是工作的日志：
16/04/30 20:30:33 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
16/04/30 20:30:34 WARN mapreduce.JobSubmitter: No job jar file set. User classes may not be found. See Job or Job#setJar(String).
16/04/30 20:30:34 INFO input.FileInputFormat: Total input paths to process : 1
16/04/30 20:30:34 INFO mapreduce.JobSubmitter: number of splits:1
16/04/30 20:30:34 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1461971181442_0005
16/04/30 20:30:34 INFO mapred.YARNRunner: Job jar is not present. Not adding any jar to the list of resources.
16/04/30 20:30:34 INFO impl.YarnClientImpl: Submitted application application_1461971181442_0005
16/04/30 20:30:34 INFO mapreduce.Job: The url to track the job: http://yoni-Lenovo-Z40-70:8088/proxy/application_1461971181442_0005/
16/04/30 20:30:34 INFO mapreduce.Job: Running job: job_1461971181442_0005
16/04/30 20:30:41 INFO mapreduce.Job: Job job_1461971181442_0005 running in uber mode : false
16/04/30 20:30:41 INFO mapreduce.Job: map 0% reduce 0%
16/04/30 20:30:46 INFO mapreduce.Job: map 100% reduce 0%
16/04/30 20:30:51 INFO mapreduce.Job: map 100% reduce 100%
16/04/30 20:30:52 INFO mapreduce.Job: Job job_1461971181442_0005 completed successfully
16/04/30 20:30:52 INFO mapreduce.Job: Counters: 49
File System Counters
FILE: Number of bytes read=6
FILE: Number of bytes written=211511
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=170
HDFS: Number of bytes written=86
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)=2923
Total time spent by all reduces in occupied slots (ms)=2526
Total time spent by all map tasks (ms)=2923
Total time spent by all reduce tasks (ms)=2526
Total vcore-seconds taken by all map tasks=2923
Total vcore-seconds taken by all reduce tasks=2526
Total megabyte-seconds taken by all map tasks=2993152
Total megabyte-seconds taken by all reduce tasks=2586624
Map-Reduce Framework
Map input records=1
Map output records=0
Map output bytes=0
Map output materialized bytes=6
Input split bytes=116
Combine input records=0
Combine output records=0
Reduce input groups=0
Reduce shuffle bytes=6
Reduce input records=0
Reduce output records=0
Spilled Records=0
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=166
CPU time spent (ms)=1620
Physical memory (bytes) snapshot=426713088
Virtual memory (bytes) snapshot=3818450944
Total committed heap usage (bytes)=324009984
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=54
File Output Format Counters
Bytes Written=86
16/04/30 20:30:52 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
16/04/30 20:30:52 WARN mapreduce.JobSubmitter: No job jar file set. User classes may not be found. See Job or Job#setJar(String).
16/04/30 20:30:52 INFO input.FileInputFormat: Total input paths to process : 1
16/04/30 20:30:52 INFO mapreduce.JobSubmitter: number of splits:1
16/04/30 20:30:52 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1461971181442_0006
16/04/30 20:30:52 INFO mapred.YARNRunner: Job jar is not present. Not adding any jar to the list of resources.
16/04/30 20:30:52 INFO impl.YarnClientImpl: Submitted application application_1461971181442_0006
16/04/30 20:30:52 INFO mapreduce.Job: The url to track the job: http://yoni-Lenovo-Z40-70:8088/proxy/application_1461971181442_0006/
16/04/30 20:30:52 INFO mapreduce.Job: Running job: job_1461971181442_0006
16/04/30 20:31:01 INFO mapreduce.Job: Job job_1461971181442_0006 running in uber mode : false
16/04/30 20:31:01 INFO mapreduce.Job: map 0% reduce 0%
16/04/30 20:31:07 INFO mapreduce.Job: map 100% reduce 0%
16/04/30 20:31:12 INFO mapreduce.Job: map 100% reduce 100%
16/04/30 20:31:13 INFO mapreduce.Job: Job job_1461971181442_0006 completed successfully
16/04/30 20:31:13 INFO mapreduce.Job: Counters: 49
File System Counters
FILE: Number of bytes read=6
FILE: Number of bytes written=210495
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=216
HDFS: Number of bytes written=0
HDFS: Number of read operations=7
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)=3739
Total time spent by all reduces in occupied slots (ms)=3133
Total time spent by all map tasks (ms)=3739
Total time spent by all reduce tasks (ms)=3133
Total vcore-seconds taken by all map tasks=3739
Total vcore-seconds taken by all reduce tasks=3133
Total megabyte-seconds taken by all map tasks=3828736
Total megabyte-seconds taken by all reduce tasks=3208192
Map-Reduce Framework
Map input records=0
Map output records=0
Map output bytes=0
Map output materialized bytes=6
Input split bytes=130
Combine input records=0
Combine output records=0
Reduce input groups=0
Reduce shuffle bytes=6
Reduce input records=0
Reduce output records=0
Spilled Records=0
Shuffled Maps =1
Failed Shuffles=0
Merged Map outputs=1
GC time elapsed (ms)=125
CPU time spent (ms)=1010
Physical memory (bytes) snapshot=427823104
Virtual memory (bytes) snapshot=3819626496
Total committed heap usage (bytes)=324534272
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=86
File Output Format Counters
Bytes Written=0
我正在运行hadoop instalation附带的wordcount示例
hadoop jar ./share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0.jar grep / user / yoni / input / user / yoni / output101＆＃39; dfs [az。] +＆＃39 ;
和伪分布式模式中的设置，就像在所有基本的测试中一样
答案 0 :(得分：0)
在此示例中，您应将xml下的所有hadoop-2.6.4/etc/hadoop文件放入正确用户主目录中名为'input'的HDFS文件夹中，该文件名为'yoni here。
首先通过探索HDFS（默认情况下）检查http://localhost:50070守护程序进程状态。
其次，请bin/hdfs dfs -ls /user/yoni/input或bin/hdfs fsck / -files -blocks检查文件的状态。
如果一切顺利，它应该有用。
Hadoop MapReduce Next Generation - Setting up a Single Node Cluster