当我在服务器上启动MapReduce作业时，作业将达到map100%减少0%，然后挂起。
打开 Web 控制台显示所有地图作业都已完成，并且有 1 个"新"减少，但 0 个"正在运行"减少。
作业的控制台输出为：
15/01/22 10:26:01 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/01/22 10:26:01 WARN mapreduce.JobSubmitter: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/01/22 10:26:02 INFO input.FileInputFormat: Total input paths to process : 1
15/01/22 10:26:02 INFO mapreduce.JobSubmitter: number of splits:1
15/01/22 10:26:02 INFO Configuration.deprecation: user.name is deprecated. Instead, use mapreduce.job.user.name
15/01/22 10:26:02 INFO Configuration.deprecation: mapred.jar is deprecated. Instead, use mapreduce.job.jar
15/01/22 10:26:02 INFO Configuration.deprecation: mapred.output.value.class is deprecated. Instead, use mapreduce.job.output.value.class
15/01/22 10:26:02 INFO Configuration.deprecation: mapreduce.combine.class is deprecated. Instead, use mapreduce.job.combine.class
15/01/22 10:26:02 INFO Configuration.deprecation: mapreduce.map.class is deprecated. Instead, use mapreduce.job.map.class
15/01/22 10:26:02 INFO Configuration.deprecation: mapred.job.name is deprecated. Instead, use mapreduce.job.name
15/01/22 10:26:02 INFO Configuration.deprecation: mapreduce.reduce.class is deprecated. Instead, use mapreduce.job.reduce.class
15/01/22 10:26:02 INFO Configuration.deprecation: mapred.input.dir is deprecated. Instead, use mapreduce.input.fileinputformat.inputdir
15/01/22 10:26:02 INFO Configuration.deprecation: mapred.output.dir is deprecated. Instead, use mapreduce.output.fileoutputformat.outputdir
15/01/22 10:26:02 INFO Configuration.deprecation: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps
15/01/22 10:26:02 INFO Configuration.deprecation: mapred.output.key.class is deprecated. Instead, use mapreduce.job.output.key.class
15/01/22 10:26:02 INFO Configuration.deprecation: mapred.working.dir is deprecated. Instead, use mapreduce.job.working.dir
15/01/22 10:26:03 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1421950773318_0001
15/01/22 10:26:04 INFO impl.YarnClientImpl: Submitted application application_1421950773318_0001 to ResourceManager at /0.0.0.0:8032
15/01/22 10:26:04 INFO mapreduce.Job: The url to track the job: http://localhost:8088/proxy/application_1421950773318_0001/
15/01/22 10:26:04 INFO mapreduce.Job: Running job: job_1421950773318_0001
15/01/22 10:26:15 INFO mapreduce.Job: Job job_1421950773318_0001 running in uber mode : false
15/01/22 10:26:15 INFO mapreduce.Job: map 0% reduce 0%
15/01/22 10:26:33 INFO mapreduce.Job: map 100% reduce 0%
我正在运行：
- 64 位 CentOS 6.4 版
- Hadoop 2.2.0-gphd-3.1.0.0
我在 wiki.apache.org/hadoop/WordCount 上尝试了字数统计示例
该示例不起作用，但我能够通过为reduce操作分配更少的内存来解决我的问题。