Knowasiak
Magic-trace – High-resolution traces of what a process is doing

Magic-trace – High-resolution traces of what a process is doing

I be mad for constituents, because they are huge!

magic-trace collects and displays high-resolution traces of what a process is doing. People have used it to:

figure out why an application running in production handles some requests slowly while simultaneously handling a sea of uninteresting requests,
look at what their code is actually doing instead of what they think it’s doing,
get a history of what their application was doing before it crashed, instead of a mere stacktrace at that final instant,
…and much more!

magic-trace:

has low overhead1,
doesn’t require application changes to use,
traces every function call with ~40ns resolution, and
renders a timeline of call stacks going back (a configurable) ~10ms.

You use it like perf: point it to a process and off it goes. The key difference from perf is that instead of sampling call stacks throughout time, magic-trace uses Intel Processor Trace to snapshot a ring buffer of all control flow leading Up to a chosen point in time2. Then, you can explore an interactive timeline of what happened.

You can point magic-trace at a function such that when your application calls it, magic-trace takes a snapshot. Alternatively, attach it to a running process and detatch it with Ctrl+C, to see a trace of an arbitrary point in your program.

“Magic-trace is one of the simplest command-line debugging tools I have ever used.”

Francis Ricci, Jane Street

“Magic-trace is not just for performance. The tool gives insight directly into what happens in your program, when, and why. Consider using it for all your introspective goals!”

Andrew Hunter, Jane Street

I use perf a ton, and I think that both perf and magic-trace give perspectives that the other doesn’t. The benefit I got from magic-trace was entirely based on the fact that it works in slices at any zoom level, so I was able to see all the function calls that a 70ns function was performing, which was invisible in perf.

Doug Patti, Jane Street

more testimonials…

Make sure the system you want to trace is supported. The constraints that most commonly trip people Up are: VMs are mostly not supported, Intel only (Skylake3 or later), Linux only.

Grab a release binary from the latest release page.

If downloading the prebuilt binary (not package), chmod +x magic-trace4
If downloading the package, run sudo dpkg -i magic-trace*.deb

Then, test it by running magic-trace -help, which should bring Up some help text.

Here’s a sample C program to try out. It’s a slightly modified version of the example in man 3 dlopen. Download that, build it with gcc -ldl demo.c -o demo, then leave it running ./demo. We’re going to use that program to learn how dlopen works.

Run magic-trace attach -pid $(pidof demo). When you see the message that it’s successfully attached, wait a couple seconds and Ctrl+C magic-trace. It will output a file called trace.fxt in your working directory.

Open magic-trace.org, click “Open trace file” in the top-left-hand and give it the trace file generated in the previous step. Once it’s loaded, expand the trace by clicking the two little arrows in the main trace area.

That should have expanded into a trace. Zoom in until you can see an individual loop through dlopen/dlsym/cos/printf/dlclose.

W zooms in (you’ll need to zoom in a bunch to see anything useful),
S zooms out,
A moves left,
D moves right, and
scroll wheel moves your viewport Up and down the stack. You’ll only need to scroll to see particularly deep stack traces, it’s probably not useful for this example.

Click and drag on the white space around the call stacks to measure. Plant flags by clicking in the timeline along the top. Using the measurement tool, measure how long it takes to run cos. On my screen it takes ~5.7us.

Congratulations, you just magically traced your first program!

In contrast to traditional perf workflows, magic-trace excels at hypothesis generation. For example, you might notice that taking 6us to run cos is a really long time! If you zoom in even more, you’ll see that there’s actually five pink “[untraced]” cells in there. If you re-run magic-trace with root and pass it -trace-include-kernel, you’ll see stacktraces for those. They’re page fault handlers! The demo program actually calls cos twice. If you zoom in even more near the end of the 6us cos call, you’ll see that the second call takes far less time and does not page fault.

magic-trace continuously records control flow into a ring buffer. Upon some sort of trigger, it takes a snapshot of that buffer and reconstructs call stacks.

There are two ways to take a snapshot:

We just did this one: Ctrl+C magic-trace. If magic-trace terminates without already having taken a snapshot, it takes a snapshot of the end of the program.

You can also trigger snapshots when the application calls a function. To do so, pass magic-trace
the -trigger flag.

-trigger ? brings Up a fuzzy-finding selector that lets you choose from all
symbols in your executable,
-trigger SYMBOL selects a specific, fully mangled, symbol you know ahead of time, and
-trigger . selects the default symbol magic_trace_stop_indicator.

Stop indicators are powerful. Here are some ideas for where you might want to place one:

If you’re using an asynchronous runtime, any time a scheduler cycle takes too long.
In a server, when a request takes a surprisingly long time.
After the garbage collector runs, to see what it’s doing and what it interrupted.
After a compiler pass has completed.

You may leave the stop indicator in production code. It doesn’t need to do anything in particular, magic-trace just needs the name. It is just an empty, but not inlined, function. It will cost ~10us to call, but only when magic-trace actually uses it to take a snapshot.

More documentation is available on the magic-trace wiki.

Join us on Discord to chat synchronously, or the GitHub discussion group to do so asynchronously.

If you’d like to contribute:

read the build instructions,
set Up your editor,
take a quick tour through the codebase, then
hit Up the issue tracker for a good starter project.

magic-trace does not send your code or derivatives of your code (including traces) anywhere.

The magic-trace UI is based on Perfetto, and runs entirely in your browser. As far as we can tell,
that UI does not send your trace anywhere. If you’re worried about that changing one day,
set Up your own local copy of the Perfetto UI and use that instead.

Tristan Hume is the original author of magic-trace. He wrote it while working at Jane Street, who currently maintains it.

Intel PT is the foundational technology upon which magic-trace rests. We’d like to thank the people at Intel for their years-long efforts to make it available, despite its slow uptake in the greater software community.

magic-trace would not be possible without perfs extensive support for Intel PT. perf does most of the work in interpreting Intel PT’s output, and magic-trace likely wouldn’t exist were it not for their efforts. Thank you, perf developers.

magic-trace’s UI is a fork of Perfetto, with minor modifications. We’d like to thank the people at Google responsible for it. It’s a high quality codebase that solves a hard problem well.

The ideas behind magic-trace are in no way unique. We’ve written down a list of prior art that has influenced its design.

Less than perf -g, more than perf -glbr. 2~10% in our experience, and usually closer to 2% than 10%. ↩

perf can do this too, but that’s not how most people use it. In fact, if you peek under the hood you’ll see that magic-trace uses perf to drive Intel PT. ↩

Strictly speaking, anything newer than Broadwell, but this is not a platform we regularly test on, and timing resolution is worse (~1us). ↩

actions/upload-artifact#38 ↩

Read More
Share this on knowasiak.com to discuss with people on this topicSign Up on Knowasiak.com now if you’re not registered yet.

About the author: Charlie
Fill your life with experiences so you always have a great story to tell

Get involved!

Get Connected!
One of the Biggest Social Platform for Entrepreneurs, College Students and all. Come and join our community. Expand your network and get to know new people!

Discussion(s)

No comments yet
Knowasiak We would like to show you notifications so you don't miss chats & status updates.
Dismiss
Allow Notifications