我想知道mapreduce.map.memory.mb和mapred.map.child.java.opts参数之间的关系.
是mapreduce.map.memory.mb> mapred.map.child.java.opts?
谢谢,Kewal.
我试图将简单的字数作为MapReduce作业运行.在本地运行时一切正常(所有工作都在名称节点上完成).但是,当我尝试使用YARN(添加mapreduce.framework.name= yarnmapred-site.conf)在集群上运行它时,作业挂起.
我在这里遇到了类似的问题: MapReduce作业陷入了Accepted状态
工作输出:
*** START ***
15/12/25 17:52:50 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/12/25 17:52:51 WARN mapreduce.JobResourceUploader: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
15/12/25 17:52:51 INFO input.FileInputFormat: Total input paths to process : 5
15/12/25 17:52:52 INFO mapreduce.JobSubmitter: number of splits:5
15/12/25 17:52:52 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1451083949804_0001
15/12/25 17:52:53 INFO impl.YarnClientImpl: Submitted application application_1451083949804_0001
15/12/25 17:52:53 INFO …Run Code Online (Sandbox Code Playgroud)