eclipse执行mapreduce

代码
public static void main(String[] args) {
//在本地windows平台eclipse运行mapreduce程序 //创建远程用户，以指定的用户来运行程序
//把要运行的程序代码放到run方法体里 UserGroupInformation ugi =
UserGroupInformation.createRemoteUser("hadoop"); ugi.doAs(new
PrivilegedAction<Void>() { public Void run() { try{
//设置引用jar的分割符，linux一般用,和:,但windows一般是用;, //所以要设置一下本地的分割符
System.setProperty("path.separator", ":"); Configuration conf = new
Configuration(); //可以设置用到的第三方jar //conf.set("tmpjars",
"/tmp/jars/hbase-0.94.5.jar,/tmp/jars/protobuf-java-2.4.0a.jar,/tmp/jars/zookeeper-3.4.3.jar");
conf.set("mapred.job.tracker", "172.168.8.54:9001");
conf.set("fs.default.name", "hdfs://172.168.8.54:9000");
conf.set("hadoop.job.ugi", "hadoop");
conf.set("hbase.zookeeper.quorum","172.168.8.55,172.168.8.56,172.168.8.57");
conf.set("hbase.zookeeper.property.clientPort", "2181"); Job job = new
Job(conf); job.setJobName("ReadHbaseToHdfsAction");
job.setJarByClass(ReadHbaseToHdfsAction.class);
job.setNumReduceTasks(1);
job.setReducerClass(ReadHbaseToHdfsReduce.class); FileSystem
fs=FileSystem.get(conf); Path outPath=new Path("/tmp/2/1");
if(fs.exists(outPath)){ fs.delete(outPath, true); }
FileOutputFormat.setOutputPath(job, outPath);
job.setOutputKeyClass(Text.class); job.setOutputValueClass(Text.class);
Scan scan = new Scan();
TableMapReduceUtil.initTableMapperJob("misdn_catetory22", scan,
ReadHbaseToHdfsMapper.class, Text.class, Text.class, job);
job.waitForCompletion(true); }catch(Exception e){ e.printStackTrace(); }
return null; }}); }bigs