按照网上说的,这是因为hadoop集群资源不足造成的。 并且多数情况是由于分配的虚拟内存超出限制。
根据分析,Flink应用确实存在大量的缓存数据,而设置的taskmanager内存只有2G,当程序运行一段时间后就会出现以下类似错误:
Diagnostics: Container [pid=6386,containerID=container_1521277661809_0006_01_000001] is running beyond virtual memory limits. Current usage: 250.5 MB of 1 GB physical memory used; 2.2 GB of 2.1 GB virtual memory used. Killing container.
Dump of the process-tree for container_1521277661809_0006_01_000001 :
|- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE
|- 6386 6384 6386 6386 (bash) 0 0 108625920 331 /bin/bash -c /usr/local/jdk/bin/java -Xmx424m -Dlog.file=/usr/local/hadoop/logs/userlogs/application_1521277661809_0006/container_1521277661809_0006_01_000001/jobmanager.log -Dlog4j.configuration=file:log4j.properties org.apache.flink.yarn.YarnApplicationMasterRunner 1> /usr/local/hadoop/logs/user