I have a little gap in understanding how a JVM process allocates its own memory. As far as I know
RSS = Heap size + MetaSpace + OffHeap size
where OffHeap consists of thread stacks, direct buffers, mapped files (libraries and jars) and JVM code itself;
At the moment I’m trying to analyze my Java application (Spring Boot + Infinispan) which RSS is 779M (it runs in a docker container, so pid 1 is ok):
[ root@daf5a5ae9bb7:/data ]$ ps -o rss,vsz,sz 1
RSS VSZ SZ
798324 6242160 1560540
According to jvisualvm
, committed Heap size is 374M
In other words, I want to explain 799M - (374M + 89M) = 316M of OffHeap memory.
My app has (in average) 36 live threads.
Each of these threads consumes 1M:
[ root@fac6d0dfbbb4:/data ]$ java -XX:+PrintFlagsFinal -version |grep ThreadStackSize
intx CompilerThreadStackSize = 0
intx ThreadStackSize = 1024
intx VMThreadStackSize = 1024
So, here we can add 36M.
The only place where the app uses DirectBuffer is NIO. As far as I can see from JMX, it doesn’t consume a lot of resources - only 98K
The last step is mapped libs and jars. But according to pmap
(full output)
[ root@daf5a5ae9bb7:/data ]$ pmap -x 1 | grep ".so.*" | awk '{ sum+=$3} END {print sum}'
12896K
plus
root@daf5a5ae9bb7:/data ]$ pmap -x 1 | grep “.jar" | awk '{ sum+=$3} END {print sum}'
9720K
we only have 20M here.
Hence, we still have to explain 316M - (36M + 20M) = 260M :(
Does anyone have any idea what I missed?