我正在使用xenserver中安装的版本为1.1.2的4datanode / 1namenode hadoop集群作为vms。我有一个1GB的文本文件，并试图做wordcount。地图耗时2小时，减速机只挂起。一个普通的perl脚本在10分钟内完成了这项工作。看起来我的设置中缺少了一些东西。
即使是Kbs中的小文件花了很长时间。
hadoop@master ~]$ hadoop jar /usr/share/hadoop/hadoop-examples-1.1.2.jar wordcount huge out
13/05/29 10:45:09 INFO input.FileInputFormat: Total input paths to process : 1
13/05/29 10:45:09 INFO util.NativeCodeLoader: Loaded the native-hadoop library
13/05/29 10:45:09 WARN snappy.LoadSnappy: Snappy native library not loaded
13/05/29 10:45:11 INFO mapred.JobClient: Running job: job_201305290801_0002
13/05/29 10:45:12 INFO mapred.JobClient: map 0% reduce 0%
13/05/29 10:57:14 INFO mapred.JobClient: map 2% reduce 0%
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13/05/29 11:01:52 INFO mapred.JobClient: map 7% reduce 0%
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13/05/29 11:03:20 INFO mapred.JobClient: Task Id : attempt_201305290801_0002_m_000002_0, Status : FAILED
Task attempt_201305290801_0002_m_000002_0 failed to report status for 604 seconds. Killing!
13/05/29 11:03:28 INFO mapred.JobClient: Task Id : attempt_201305290801_0002_m_000003_0, Status : FAILED
Task attempt_201305290801_0002_m_000003_0 failed to report status for 604 seconds. Killing!
13/05/29 11:03:29 INFO mapred.JobClient: map 9% reduce 0%
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13/05/29 11:51:46 INFO mapred.JobClient: Task Id : attempt_201305290801_0002_m_000002_1, Status : FAILED
Task attempt_201305290801_0002_m_000002_1 failed to report status for 685 seconds. Killing!
13/05/29 11:52:09 INFO mapred.JobClient: map 61% reduce 4%
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^C[hadoop@master ~]$
答案 0 :(得分：1)
根据您提供的有限信息（控制台输出），它看起来像群集健康。
13/05/29 11:03:20 INFO mapred.JobClient: Task Id : attempt_201305290801_0002_m_000002_0, Status : FAILED
Task attempt_201305290801_0002_m_000002_0 failed to report status for 604 seconds. Killing!
尝试在某个节点上执行任务，该节点在10分钟内未向JobTracker报告。这导致任务再次重新安排。潜入更多日志，识别哪个特定节点未能完成分配的任务可能是您应该做的事情。