Is a JVM stopped while executing jmap?

Question

Does my java application continue running while jmap is taking its memory dump?

Answer 1

I had an issue with trying to do this on a production machine creating the hprof file with jmap took ages and naturally locked up the java webapp for ages.

I found this page:

http://blogs.atlassian.com/2013/03/so-you-want-your-jvms-heap/

Which explained that you can also use gdb (on linux systems) to dump the core of the java process.

With this core file you can then generate the hprof file for analysis in a separate process which prevent your java server process from being interrupted for such a long time. Which is what would happen if you were to run the same operation with jmap.

To summarise:

download and install gdb

apt-get update

apt-get install gdb

...

get the java process id of the java process you're interested in

jps ...

start a gdb session with that process

gdb [pid] ...

then generate the core file:

gcore /tmp/jvm.core

end the gdb session

detach quit

then use the core file generated to make an hprof file:

sudo jmap -dump:format=b,file=jvm.hprof /usr/bin/java /tmp/jvm.core

then (g)zip the file up and copy it to your machine for further analysis.

Answer 2

Your application is stopped. The only practical way to get an accurate heap dump would be to stop all application activity while the dump is being created.

Whether this is a "brief" pause or a "long" pause depends on how much is dumped. If you use "-dump" then you will dump the entire heap, including unreachable objects. If you use "-dump:live" you will only dump reachable objects ... but that also entails (at least) marking the heap to figure out which objects are reachable.

But if you are dumping a gigabyte sized heap, expect the pause time to be measured in minutes rather than seconds.

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Re the suggestion that you could avoid stopping the JVM by using fork, it turns out that forking a multi-threaded process can be problematic:

• fork in multi-threaded program
• Multithreaded fork
• http://www.linuxprogrammingblog.com/threads-and-fork-think-twice-before-using-them

Then there is is the resource usage issue.