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milianw

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milianw
·geçen yıl·discuss
I still think we should find a way to integrate the two somehow - i.e. analyze locally and then send the pre-analyzed data for visualization purposes to the remote firefox profiler. Does anyone know a good format we could use for that purpose? It needs to be non-verbose to not hit the infamous 2GB/4GB JSON heap size limitation on import e.g. Similarly, we also need something that can deal with the various cost types we support in hotspot, most notably off-CPU time.
milianw
·geçen yıl·discuss
You are welcome :)

And to people using other IDE/editors - you can configure which one gets opened when you click on a source line from the hotspot settings. QtCreator is just the default (when that is installed).
milianw
·geçen yıl·discuss
initially yes but then the local power supplier will come and install a bidirectional meter
milianw
·geçen yıl·discuss
C++/Qt GUI applications (embedded, desktop), mostly for a large customer in the medical sector, i.e. microscopy/imaging/cancer research.
milianw
·2 yıl önce·discuss
True, that's another good point. But again, this reasoning is very different to the one from the linked article and website - if you have oprofile or valgrind's cachegrind available, you clearly could get perf setup instead.

I'm not debating that manual GDB sampling has its place and value. I'm debating that perf is "lying" or that it's impossible to get hold of off-CPU samples, or profiling of multithreaded code in general.
milianw
·2 yıl önce·discuss
perf is easily available through yocto and buildroot (and probably other embedded linux image builders). hotspot can be downloaded as an appimage. It should not take 30-60min to set this up, but granted, learning the tools the first time always has some cost.

Furthermore, note how your reasoning is quite different from what the website you linked to says - it basically says "there are no good tools" (which is untrue) whereas you are saying "manual GDB sampling might be good enough and is easier to setup than a good tool" (which is certainly true).
milianw
·2 yıl önce·discuss
The premise of this website and articles like https://yosefk.com/blog/how-profilers-lie-the-cases-of-gprof... just show that the authors are using the wrong tools. It is nowadays relatively easy to also look at off-CPU time when profiling with perf (e.g. https://github.com/KDAB/hotspot/?tab=readme-ov-file#off-cpu-...). The idea is to use sampling for the on-CPU periods and then combine that with the off-CPU time measured between context switches. VTune also supported this mode for many years.
milianw
·2 yıl önce·discuss
With `-z` (zstd compression) you can bring down the disk-space cost of dwarf unwinding by a factor of ~100 based on my personal experience.

to GP: What you describe sounds like https://github.com/koute/not-perf to me
milianw
·2 yıl önce·discuss
I don't know exactly what these BSD things did, but there is a super easy way nowadays to get the stack for any process:

    eu-stack -i -p $(pidof ...)
Thanks to debuginfod this will even give you good backtraces right away (at the cost of some initial delay to load the data from the web, consecutive runs are fast). If you get a "permission denied" error, you probably need to tweak kernel.yama.ptrace_scope=0
milianw
·2 yıl önce·discuss
Sad to see people are still unaware of modern perf profilers like hotspot, tracy, vtune, ...

they are easy to setup, work extremely efficient and can nowadays also catch off-cpu time. ctrl+c debugging finds you trivial stuff, but dismissing the real tools as unusable or inferior is simply ignorant.

> Unlike perf, gdb will give you a callstack even if the program was compiled without frame pointer support.

There is `--call-graph dwarf` and it exists since many years, and with `-z` it is pretty efficient and just works too - unless the stack gets too long, but even then it's good enough for profiling purposes...

> Also, sampling profilers are bad at tail latency - if something is usually fast but occasionally slow, you won’t be there to Ctrl-C it when it’s slow.

Very true, thankfully the flight recorder modes for profilers can help with that to a certain degree, with a potentially large sampling frequency.
milianw
·2 yıl önce·discuss
I managed to read some books rented via the Berlin library system (voebb onleihe) using this software, really great work!
milianw
·2 yıl önce·discuss
MTuner exists for Windows which is similar but different. Porting heaptrack is not straight forward, as it heavily relies on libraries that do not work on Windows or do not support Windows executables and debugging information, such as libunwind and elfutils.
milianw
·2 yıl önce·discuss
IIUC then you might be looking for https://github.com/facebookexperimental/object-introspection - very new and not yet easily usable outside of the Meta sphere, but goes into that direction, or?
milianw
·2 yıl önce·discuss
So more something like dhat from valgrind? see https://valgrind.org/docs/manual/dh-manual.html ?
milianw
·2 yıl önce·discuss
Heaptrack can handle millions of allocations per second, and thanks to the deduplication built into the trace file format combined with zstd compression, the overhead is pretty manageable. It's pretty hard to get "hundreds of GB" of data recorded.

Another thing: you can always just runtime attach and profile a partial time to reduce the amount of data recorded.

Finally: if your tools do so many allocations, maybe you should consider optimizing them...
milianw
·2 yıl önce·discuss
What is not decent about heaptrack or similar tools?
milianw
·2 yıl önce·discuss
I applaud this initiative. yet I wonder - the ideal situation would be to not throw away the debug info (ever), but rather it should be put into an external file. even Linux supports this for many years and nowadays we even have direct support with dwarf5/dwo. is trust taken any action towards that direction?

after all: without debug info (which you do not want to ship to customers necessarily), you cannot do profiling or debugging in any meaningful way...
milianw
·3 yıl önce·discuss
well said! doing large scale refactorings or invasive performance optimizations without a sound testing infrastructure is a huge pain. the more often you run into this, the more you'll appreciate tests going forward. but as always, one must not forget the pareto principle and related mantras - don't aim for 100% test coverage, roughly 80% coverage in 20% of the time will often give the biggest ROI.