添加调试参数：
＜property＞
＜name＞mapred.child.java.opts＜/name＞
＜value＞-Xmx200m-Xdebug-Xrunjdwp:transport=dt_socket,address=9999,server=y,suspend=y＜/value＞
＜/property＞
提交作业:
hadoop jar /opt/hadoop-1.0.0/hadoop-examples-1.0.0.jar wordcount /user/admin/in/yellow2.txt /user/admin/out/128
生成2个Map、2个Reduce任务。
执行Setup任务：
args= [127.0.0.1,40996, attempt_201404282305_0001_m_000003_0,/opt/hadoop-1.0.0/logs/userlogs/job_201404282305_0001/attempt_201404282305_0001_m_000003_0,-1093852866]
变量:
jvmId=JVMId{id=-1093852866,isMap=true,jobId=job_201404282305_0001}
cwd=/tmp/hadoop-admin/mapred/local/taskTracker/admin/jobcache/job_201404282305_0001/attempt_201404282305_0001_m_000003_0/work
jobTokenFile=/tmp/hadoop-admin/mapred/local/taskTracker/admin/jobcache/job_201404282305_0001/jobToken
taskOwner=job_201404282305_0001
umbilical=(TaskUmbilicalProtocol)RPC.getProxy(TaskUmbilicalProtocol.class,
TaskUmbilicalProtocol.versionID,address,defaultConf);
context=JvmContext{jvmId=jvm_201404282305_0001_m_-1093852866,pid="28737"}
myTask =JvmTask {shouldDie=false,
t=MapTask { taskId=attempt_201404282305_0001_m_000003_0,jobCleanup=false, jobSetup=true, taskCleanup=false, jobFile="/tmp/hadoop-admin/mapred/local/taskTracker/admin/jobcache/job_201404282305_0001/job.xml"}, taskStatus=MapTaskStatus{runState=UNASSIGNED}}
job= JobConf{Configuration:core-default.xml, core-site.xml, mapred-default.xml,mapred-site.xml,/tmp/hadoop-admin/mapred/local/taskTracker/admin/jobcache/job_201404282305_0001/job.xml}
currentJobSegmented= false
isCleanup =false
DistributedFileSystem的 workingDir=hdfs://server1:9000/user/admin
启动一个TaskReporter线程，检查Task.progressFlag变量(AtomicBoolean)，true则通过RPC汇报statusUpdate(taskId,taskStatus,jvmContext)，false则通过RPC进行ping(askId,jvmContext).
Task的jobContext={conf={Configuration:core-default.xml, core-site.xml, mapred-default.xml,mapred-site.xml, hdfs-default.xml, hdfs-site.xml,/tmp/hadoop-admin/mapred/local/taskTracker/admin/jobcache/job_201404282305_0001/job.xml}，
job=JobConf{Configuration:core-default.xml, core-site.xml, mapred-default.xml,mapred-site.xml, hdfs-default.xml, hdfs-site.xml,/tmp/hadoop-admin/mapred/local/taskTracker/admin/jobcache/job_201404282305_0001/job.xml},
jobId={job_201404282305_0001}}
Task的taskContext={conf={Configuration:core-default.xml, core-site.xml, mapred-default.xml,mapred-site.xml, hdfs-default.xml, hdfs-site.xml,/tmp/hadoop-admin/mapred/local/taskTracker/admin/jobcache/job_201404282305_0001/job.xml}，taskId=attempt_201404282305_0001_m_000003_0，jobId=job_201404282305_0001，status=""}
outputFormat=org.apache.hadoop.mapreduce.lib.output.TextOutputFormat@7099c91f
committer={outputFileSystem=DFS[DFSClient[clientName=DFSClient_attempt_201404282305_0001_m_000003_0,ugi=admin]]，outputpath=/user/admin/out/128, workPath=hdfs://server1:9000/user/admin/out/128/_temporary/_attempt_201404282305_0001_m_000003_0}
Task的resourceCalculator=org.apache.hadoop.util.LinuxResourceCalculatorPlugin@2288e718
Task的initCpuCumulativeTime=13620
建立文件夹 /user/admin/out/128/_temporary后则完成.