我有一个由两个工作节点组成的集群。Worker_Node_1 - 64GB RAM Worker_Node_2 - 32GB RAM
背景摘要： 我正在尝试在 yarn-cluster 上执行 spark-submit 以在 Graph 上运行 Pregel 以计算从一个源顶点到所有其他顶点的最短路径距离并在控制台上打印值。实验：
- 对于具有 15 个顶点的小图，执行完成应用程序最终状态：成功
- 我的代码完美运行，并打印了 241 个顶点图的最短距离，将单个顶点作为源顶点，但存在问题。
问题： 当我深入研究日志文件时，任务在 4 分 26 秒内成功完成，但仍在终端上，它继续显示应用程序状态为正在运行，大约 12 分钟后任务执行终止说 -
Application application_1447669815913_0002 failed 2 times due to AM Container for appattempt_1447669815913_0002_000002 exited with exitCode: -104 For more detailed output, check application tracking page:http://myserver.com:8088/proxy/application_1447669815913_0002/
Then, click on links to logs of each attempt.
Diagnostics: Container [pid=47384,containerID=container_1447669815913_0002_02_000001] is running beyond physical memory limits. Current usage: 17.9 GB of 17.5 GB physical memory used; 18.7 GB of 36.8 GB virtual memory used. Killing container.
Dump of the process-tree for container_1447669815913_0002_02_000001 :
|- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE
|- 47387 47384 47384 47384 (java) 100525 13746 20105633792 4682973 /usr/lib/jvm/java-7-oracle-cloudera/bin/java -server -Xmx16384m -Djava.io.tmpdir=/yarn/nm/usercache/cloudera/appcache/application_1447669815913_0002/container_1447669815913_0002_02_000001/tmp -Dspark.eventLog.enabled=true -Dspark.eventLog.dir=hdfs://myserver.com:8020/user/spark/applicationHistory -Dspark.executor.memory=14g -Dspark.shuffle.service.enabled=false -Dspark.yarn.executor.memoryOverhead=2048 -Dspark.yarn.historyServer.address=http://myserver.com:18088 -Dspark.driver.extraLibraryPath=/opt/cloudera/parcels/CDH-5.4.7-1.cdh5.4.7.p0.3/lib/hadoop/lib/native -Dspark.shuffle.service.port=7337 -Dspark.yarn.jar=local:/opt/cloudera/parcels/CDH-5.4.7-1.cdh5.4.7.p0.3/lib/spark/lib/spark-assembly.jar -Dspark.serializer=org.apache.spark.serializer.KryoSerializer -Dspark.authenticate=false -Dspark.app.name=com.path.PathFinder -Dspark.master=yarn-cluster -Dspark.executor.extraLibraryPath=/opt/cloudera/parcels/CDH-5.4.7-1.cdh5.4.7.p0.3/lib/hadoop/lib/native -Dspark.yarn.am.extraLibraryPath=/opt/cloudera/parcels/CDH-5.4.7-1.cdh5.4.7.p0.3/lib/hadoop/lib/native -Dspark.yarn.app.container.log.dir=/var/log/hadoop-yarn/container/application_1447669815913_0002/container_1447669815913_0002_02_000001 org.apache.spark.deploy.yarn.ApplicationMaster --class com.path.PathFinder --jar file:/home/cloudera/Documents/Longest_Path_Data_1/Jars/ShortestPath_Loop-1.0.jar --arg /home/cloudera/workspace/Spark-Integration/LongestWorstPath/configFile --executor-memory 14336m --executor-cores 32 --num-executors 2
|- 47384 47382 47384 47384 (bash) 2 0 17379328 853 /bin/bash -c LD_LIBRARY_PATH=/opt/cloudera/parcels/CDH-5.4.7-1.cdh5.4.7.p0.3/lib/hadoop/lib/native::/opt/cloudera/parcels/CDH-5.4.7-1.cdh5.4.7.p0.3/lib/hadoop/lib/native /usr/lib/jvm/java-7-oracle-cloudera/bin/java -server -Xmx16384m -Djava.io.tmpdir=/yarn/nm/usercache/cloudera/appcache/application_1447669815913_0002/container_1447669815913_0002_02_000001/tmp '-Dspark.eventLog.enabled=true' '-Dspark.eventLog.dir=hdfs://myserver.com:8020/user/spark/applicationHistory' '-Dspark.executor.memory=14g' '-Dspark.shuffle.service.enabled=false' '-Dspark.yarn.executor.memoryOverhead=2048' '-Dspark.yarn.historyServer.address=http://myserver.com:18088' '-Dspark.driver.extraLibraryPath=/opt/cloudera/parcels/CDH-5.4.7-1.cdh5.4.7.p0.3/lib/hadoop/lib/native' '-Dspark.shuffle.service.port=7337' '-Dspark.yarn.jar=local:/opt/cloudera/parcels/CDH-5.4.7-1.cdh5.4.7.p0.3/lib/spark/lib/spark-assembly.jar' '-Dspark.serializer=org.apache.spark.serializer.KryoSerializer' '-Dspark.authenticate=false' '-Dspark.app.name=com.path.PathFinder' '-Dspark.master=yarn-cluster' '-Dspark.executor.extraLibraryPath=/opt/cloudera/parcels/CDH-5.4.7-1.cdh5.4.7.p0.3/lib/hadoop/lib/native' '-Dspark.yarn.am.extraLibraryPath=/opt/cloudera/parcels/CDH-5.4.7-1.cdh5.4.7.p0.3/lib/hadoop/lib/native' -Dspark.yarn.app.container.log.dir=/var/log/hadoop-yarn/container/application_1447669815913_0002/container_1447669815913_0002_02_000001 org.apache.spark.deploy.yarn.ApplicationMaster --class 'com.path.PathFinder' --jar file:/home/cloudera/Documents/Longest_Path_Data_1/Jars/ShortestPath_Loop-1.0.jar --arg '/home/cloudera/workspace/Spark-Integration/LongestWorstPath/configFile' --executor-memory 14336m --executor-cores 32 --num-executors 2 1> /var/log/hadoop-yarn/container/application_1447669815913_0002/container_1447669815913_0002_02_000001/stdout 2> /var/log/hadoop-yarn/container/application_1447669815913_0002/container_1447669815913_0002_02_000001/stderr
Container killed on request. Exit code is 143
Container exited with a non-zero exit code 143
Failing this attempt. Failing the application.
我尝试过的事情：
- yarn.schedular.maximum-allocation-mb – 32GB
- mapreduce.map.memory.mb = 2048（以前是 1024）
- 尝试改变 --driver-memory 高达 24g
您能否为我如何配置资源管理器添加更多颜色，以便也可以处理大型图（> 300K 顶点）？谢谢。