由于"由ApplicationMaster杀死的容器",Hadoop Mapper失败了

Question

我正在尝试在Hadoop上执行map reduce程序.

当我将我的工作提交给hadoop单节点集群时.工作正在创建,但失败了

"由ApplicationMaster杀死的容器"

使用的输入大小为10 MB.

当我使用输入文件400 KB的相同脚本时,它成功了.但是没有输入大小为10 MB的文件.

我终端中显示的完整日志如下.

    15/05/29 09:52:16 WARN util.NativeCodeLoader: Unable to `load native-  hadoop library for your platform... using builtin-java classes      where applicable
Submitting job on the cluster...
15/05/29 09:52:17 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
15/05/29 09:52:18 INFO input.FileInputFormat: Total input paths to process : 1
15/05/29 09:52:18 INFO mapreduce.JobSubmitter: number of splits:1
15/05/29 09:52:19 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1432910768528_0001
15/05/29 09:52:19 INFO impl.YarnClientImpl: Submitted application application_1432910768528_0001
15/05/29 09:52:19 INFO mapreduce.Job: The url to track the job: http://localhost:8088/proxy/application_1432910768528_0001/
15/05/29 09:52:19 INFO mapreduce.Job: Running job: job_1432910768528_0001
15/05/29 09:52:29 INFO mapreduce.Job: Job job_1432910768528_0001 running in uber mode : false
15/05/29 09:52:29 INFO mapreduce.Job:  map 0% reduce 0%
15/05/29 09:52:41 INFO mapreduce.Job:  map 100% reduce 0%
15/05/29 10:03:01 INFO mapreduce.Job:  map 0% reduce 0%
15/05/29 10:03:01 INFO mapreduce.Job: Task Id : attempt_1432910768528_0001_m_000000_0, Status : FAILED
AttemptID:attempt_1432910768528_0001_m_000000_0 Timed out after 600 secs
Container killed by the ApplicationMaster.
Container killed on request. Exit code is 143
Container exited with a non-zero exit code 143

我的映射器在这里触发另一个程序,它将在这里处理我的输入文件.由mapper触发的程序通常会消耗大量内存.

所以请在这方面帮助我.

Answer 1

包含以下属性yarn-site.xml并重新启动VM,

<property>
   <name>yarn.nodemanager.vmem-check-enabled</name>
   <value>false</value>
   <description>Whether virtual memory limits will be enforced for containers</description>
</property>

<property>
   <name>yarn.nodemanager.vmem-pmem-ratio</name>
   <value>4</value>
   <description>Ratio between virtual memory to physical memory when setting memory limits for containers</description>
</property>