Skip to content
master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
src
 
 
 
 
 
 
 
 
 
 
 
 

Join the chat at https://gitter.im/JCoz-profiler/community

Overview

JCoz is the world's first causal profiler for Java (and eventually all JVM) programs. It was inspired by coz, the original causal profiler.

For documentation, including installing, building, and using JCoz, please see our Wiki page page.

Dependencies

  • spdlog (0.11.0 or higher)
    • apt-get install libspdlog-dev for debian/ubuntu
    • yum install spdlog-devel for fedora/rhel/centos
  • make
  • jdk 1.8 (newer jdk's will result in a (maven) failure during make all)

Getting Started Tutorial

Build and shakeout

You can drive a basic test use case through the Makefile.

Start by building everything from scratch:

$ make clean
$ make all

Now, to get started, open three terminal windows:

(1) $ make run-rmi-host
(2) $ make run-workload
(3) $ make run-profiler

From the third (profiler) window, after a few moments you will see some output appear:

(3)
experiment	selected=test.TestThreadSerial:67	speedup=0.0	duration=20003047916
progress-point	name=end-to-end	type=source	delta=0

This is the coz flat file format. Leave the application to run for a period of time, and you will see more profiling samples collected.

If you've made it this far, congrats, you can proceed to running the CLI for a proper profiling run! The 'run-profiler' process should terminate after about 30 seconds.

Unfortunately we do not have enough datapoints from a 30 second run to get sufficient confidence for coz to recommend the lines of code to improve.

Running the CLI

Using the CLI, we can collect as many datapoints as we like. Keeping the RMI host and workload running, start the CLI. Check the PID of the monitored host with ps.

(3)
$ CLIENT_JAR=./src/java/target/client-0.0.1-jar-with-dependencies.jar
$ TOOLS_JAR=/usr/lib/jvm/java-8-openjdk-amd64/lib/tools.jar
$ java -cp ${CLIENT_JAR}:${TOOLS_JAR} \
    jcoz.client.cli.JCozCLI \
    -c test.TestThreadSerial \
    -l 57 \
    -s test \
    -p $PID_OF_WORKLOAD
...
experiment	selected=test.TestThreadSerial:62	speedup=0.6	duration=4747080912
progress-point	name=end-to-end	type=source	delta=98
experiment	selected=test.TestThreadSerial:73	speedup=0.45	duration=4647873501
progress-point	name=end-to-end	type=source	delta=96
experiment	selected=test.TestThreadSerial:73	speedup=0.0	duration=5002572016
progress-point	name=end-to-end	type=source	delta=100
experiment	selected=test.TestThreadSerial:62	speedup=0.35	duration=4858058541
progress-point	name=end-to-end	type=source	delta=99
...

Results will start appearing in the profile output.

Getting a profiling visualisation

Save the results you previously captured to a file foo.coz (you will have to manually remove "[main] INFO jcoz.client.cli.JCozCLI - Experiment: " from the console output to make the coz UI parse your input).

Open the coz UI here, and upload the file and review the output.

Profiling a real application

You should now be in a position to profile a real application. Use the JCozCLI and capture some samples!

Be aware for that a real sized application there will be lots of code and lots of experiments that JCoz needs to run. You should plan to keep JCoz running for some hours to be confident in the results.