Profiling real-world Node code is extremely difficult. It’s very hard to track which CPU cycles were used by what. Callbacks can execute in any order, and the call stack gets destroyed each time you have an async break in your code.
async-profile is a new Node CPU profiler that doesn’t have these problems. It’s the first of its kind, and tracks the flow of your code through continuations, callbacks and promises, and accurately counts how muchCPU time is used where.
In addition to tracking the total amount of time spent in each callback, async-profile summarizes key performance metrics of your code.
$ coffee example.coffee
total: 1.823ms (in 2.213ms real time, CPU load: 0.81, wait time: 3.688ms)
The main profiler output shows the tree of callbacks that run. They’re nested so the information about a callback is indented underneath the code that created it.
start | length | created at
0.879: 0.011ms at Function.Project.fromCache (project.coffee:12:16)
1.668: 0.043ms at Event.hash (event.coffee:238:16)
1.780: 0.064ms at event.coffee:246:21
2.016: 0.364ms at Object.exports.count (throttling.coffee:12:14)
2.506: 1.166ms at throttleProjectEvent (throttling.coffee:132:14)
1.947: 0.002ms at Object.exports.count (project.coffee:52:19)
1.593: 0.001ms at Event.hash (event.coffee:238:16)
0.775: 0.003ms at Function.Project.fromCache (project.coffee:13:20)
In this example, you can see that there’s one callback using almost all of ourCPU time (the one that’s created at throttleProjectEvent in throttling.coffee:132). It’s using 1.166ms of synchronous CPU time! Thisis very bad because it’s blocking the entire Node process for that entire time.
async-profile gives you essential insight into the performance of your node.js programs, and can help you find and debug performance problems much more easily than with a traditional CPU profiler.
We’ve used it with great success to find performance problems in Bugsnag. AndI’d strongly encourage you to npm install async-profile and give it ago.
Let me know on Twitter if you have any questions or feedback.