i have the same problem,but i put the flink job into yarn. but i put the job into yarn on the computer 22,and the job can success run,and the jobmanager is 79 and taskmanager is 69,they three different compu345ter, however,on computer 22,the pid=3463,which is the job that put into yarn,is have 2.3g memory,15% of total, the commend is : ./flink run -m yarn-cluster -yn 1 -ys 1 -yjm 1024 -ytm 1024 .... why in conputer 22,has occupy so much momory?the job is running computer 79 and computer 69. What would be the possible causes of such behavior ? Best Regards, ----- 原始邮件 ----- 发件人：Daniel Santos <dsan...@cryptolab.net> 收件人：user@flink.apache.org 主题：JVM Non Heap Memory 日期：2016年11月29日 22点26分
Hello, Is it common to have high usage of Non-Heap in JVM ? I am running flink in stand-alone cluster and in docker, with each docker bieng capped at 6G of memory. I have been struggling to keep memory usage in check. The non-heap increases to no end. It start with just 100MB of usage and after a day it reaches to 1,3GB. Then evetually reaches to 2GB and then eventually the docker is killed because it has reached the memory limit. My configuration for each flink task manager is the following : ----------- flink-conf.yaml -------------- taskmanager.heap.mb: 3072 taskmanager.numberOfTaskSlots: 8 taskmanager.memory.preallocate: false taskmanager.network.numberOfBuffers: 12500 taskmanager.memory.off-heap: false --------------------------------------------- What would be the possible causes of such behavior ? Best Regards, Daniel Santos
