eclipse 配置mapreduce环境出错

初学mapreduce,想在eclipse上配置mapreduce的环境，网上之类的教程，很多但是按照教程配之后，并不能正常运行。

碰到下面的错误：

15/10/17 20:10:39 INFO jvm.JvmMetrics: Initializing JVM Metrics with processName=JobTracker, sessionId=
15/10/17 20:10:39 WARN mapred.JobClient: No job jar file set. User classes may not be found. See JobConf(Class) or JobConf#setJar(String).
15/10/17 20:10:40 INFO input.FileInputFormat: Total input paths to process : 2
15/10/17 20:10:40 INFO mapred.JobClient: Running job: job_local_0001
15/10/17 20:10:40 INFO input.FileInputFormat: Total input paths to process : 2
15/10/17 20:10:41 INFO mapred.MapTask: io.sort.mb = 100
15/10/17 20:10:41 INFO mapred.MapTask: data buffer = 79691776/99614720
15/10/17 20:10:41 INFO mapred.MapTask: record buffer = 262144/327680
15/10/17 20:10:41 INFO mapred.MapTask: Starting flush of map output
15/10/17 20:10:41 INFO mapred.MapTask: Finished spill 0
15/10/17 20:10:41 INFO mapred.TaskRunner: Task:attempt_local_0001_m_000000_0 is done. And is in the process of commiting
15/10/17 20:10:41 INFO mapred.LocalJobRunner:
15/10/17 20:10:41 INFO mapred.TaskRunner: Task 'attempt_local_0001_m_000000_0' done.
15/10/17 20:10:41 INFO mapred.MapTask: io.sort.mb = 100
15/10/17 20:10:41 INFO mapred.MapTask: data buffer = 79691776/99614720
15/10/17 20:10:41 INFO mapred.MapTask: record buffer = 262144/327680
15/10/17 20:10:41 INFO mapred.MapTask: Starting flush of map output
15/10/17 20:10:41 INFO mapred.MapTask: Finished spill 0
15/10/17 20:10:41 INFO mapred.TaskRunner: Task:attempt_local_0001_m_000001_0 is done. And is in the process of commiting
15/10/17 20:10:41 INFO mapred.LocalJobRunner:
15/10/17 20:10:41 INFO mapred.TaskRunner: Task 'attempt_local_0001_m_000001_0' done.
15/10/17 20:10:41 INFO mapred.LocalJobRunner:
15/10/17 20:10:41 INFO mapred.Merger: Merging 2 sorted segments
15/10/17 20:10:41 INFO mapred.Merger: Down to the last merge-pass, with 2 segments left of total size: 52 bytes
15/10/17 20:10:41 INFO mapred.LocalJobRunner:
15/10/17 20:10:41 INFO mapred.JobClient: map 100% reduce 0%
15/10/17 20:10:42 INFO mapred.TaskRunner: Task:attempt_local_0001_r_000000_0 is done. And is in the process of commiting
15/10/17 20:10:42 INFO mapred.LocalJobRunner:
15/10/17 20:10:42 INFO mapred.TaskRunner: Task attempt_local_0001_r_000000_0 is allowed to commit now
15/10/17 20:10:42 INFO output.FileOutputCommitter: Saved output of task 'attempt_local_0001_r_000000_0' to hdfs://master:9000/user/hadoop/out99
15/10/17 20:10:42 INFO mapred.LocalJobRunner: reduce > reduce
15/10/17 20:10:42 INFO mapred.TaskRunner: Task 'attempt_local_0001_r_000000_0' done.
15/10/17 20:10:42 INFO mapred.JobClient: map 100% reduce 100%
15/10/17 20:10:42 INFO mapred.JobClient: Job complete: job_local_0001
15/10/17 20:10:42 INFO mapred.JobClient: Counters: 14
15/10/17 20:10:42 INFO mapred.JobClient: FileSystemCounters
15/10/17 20:10:42 INFO mapred.JobClient: FILE_BYTES_READ=50343
15/10/17 20:10:42 INFO mapred.JobClient: HDFS_BYTES_READ=59
15/10/17 20:10:42 INFO mapred.JobClient: FILE_BYTES_WRITTEN=102356
15/10/17 20:10:42 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=24
15/10/17 20:10:42 INFO mapred.JobClient: Map-Reduce Framework
15/10/17 20:10:42 INFO mapred.JobClient: Reduce input groups=3
15/10/17 20:10:42 INFO mapred.JobClient: Combine output records=4
15/10/17 20:10:42 INFO mapred.JobClient: Map input records=2
15/10/17 20:10:42 INFO mapred.JobClient: Reduce shuffle bytes=0
15/10/17 20:10:42 INFO mapred.JobClient: Reduce output records=3
15/10/17 20:10:42 INFO mapred.JobClient: Spilled Records=8
15/10/17 20:10:42 INFO mapred.JobClient: Map output bytes=40
15/10/17 20:10:42 INFO mapred.JobClient: Combine input records=4
15/10/17 20:10:42 INFO mapred.JobClient: Map output records=4
15/10/17 20:10:42 INFO mapred.JobClient: Reduce input records=4

运行程序为hadoop自带的WordCount.java源代码

　　1.在WordCount.java上右键导出jar文件到工程的根目录下。

　　2.将导出的wordcount.jar文件，右键加入到buildpath。

　　3.在源代码中加入

..................
 public static void main(String[] args) throws Exception {
    Configuration conf = new Configuration();
    conf.set("mapred.job.tracker", "192.168.2.1:9001");
    String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
    if (otherArgs.length != 2) {
      System.err.println("Usage: wordcount <in> <out>");
      System.exit(2);
    }
    Job job = new Job(conf, "word count");
    job.setJarByClass(WordCount.class);
    job.setMapperClass(TokenizerMapper.class);
    job.setCombinerClass(IntSumReducer.class);
    job.setReducerClass(IntSumReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
    FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
    System.exit(job.waitForCompletion(true) ? 0 : 1);
  }
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