Hi, Please check the properties like mapreduce.reduce.memory.mb and mapredce.map.memory.mb in mapred-site.xml. These properties decide resource limits for mappers/reducers.
On Wed, Dec 4, 2013 at 10:16 PM, panfei <[email protected]> wrote: > > > ---------- Forwarded message ---------- > From: panfei <[email protected]> > Date: 2013/12/4 > Subject: Container > [pid=22885,containerID=container_1386156666044_0001_01_000013] is running > beyond physical memory limits. Current usage: 1.0 GB of 1 GB physical memory > used; 332.5 GB of 8 GB virtual memory used. Killing container. > To: CDH Users <[email protected]> > > > Hi All: > > We are using CDH4.5 Hadoop for our production, when submit some (not all) > jobs from hive, we get the following exception info , seems the physical > memory and virtual memory both not enough for the job to run: > > > Task with the most failures(4): > ----- > Task ID: > task_1386156666044_0001_m_000000 > > URL: > > http://namenode-1:8088/taskdetails.jsp?jobid=job_1386156666044_0001&tipid=task_1386156666044_0001_m_000000 > ----- > Diagnostic Messages for this Task: > Container [pid=22885,containerID=container_1386156666044_0001_01_000013] is > running beyond physical memory limits. Current usage: 1.0 GB of 1 GB > physical memory used; 332.5 GB of 8 GB virtual memory used. Killing > container. > Dump of the process-tree for container_1386156666044_0001_01_000013 : > |- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) > SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE > |- 22885 22036 22885 22885 (java) 5414 108 356993519616 271953 > /usr/java/default/bin/java -Djava.net.preferIPv4Stack=true > -Dhadoop.metrics.log.level=WARN -Xmx200m > -Djava.io.tmpdir=/data/yarn/local/usercache/hive/appcache/application_1386156666044_0001/container_1386156666044_0001_01_000013/tmp > -Dlog4j.configuration=container-log4j.properties > -Dyarn.app.mapreduce.container.log.dir=/var/log/hadoop-yarn/containers/application_1386156666044_0001/container_1386156666044_0001_01_000013 > -Dyarn.app.mapreduce.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA > org.apache.hadoop.mapred.YarnChild 192.168.101.55 60841 > attempt_1386156666044_0001_m_000000_3 13 > > following is some of our configuration: > > <property> > <name>yarn.nodemanager.resource.memory-mb</name> > <value>12288</value> > </property> > > <property> > <name>yarn.nodemanager.vmem-pmem-ratio</name> > <value>8</value> > </property> > > <property> > <name>yarn.nodemanager.vmem-check-enabled</name> > <value>false</value> > </property> > > <property> > <name>yarn.nodemanager.resource.cpu-vcores</name> > <value>6</value> > </property> > > can you give me some advice? thanks a lot. > -- > 不学习，不知道 > > > > -- > 不学习，不知道 -- - Tsuyoshi
