mirror of
https://github.com/jesseduffield/lazygit.git
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70 lines
2.0 KiB
Markdown
70 lines
2.0 KiB
Markdown
# Profiling Lazygit
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If you want to investigate what's contributing to CPU or memory usage, start
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lazygit with the `-profile` command line flag. This tells it to start an
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integrated web server that listens for profiling requests.
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## Save profile data
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### CPU
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While lazygit is running with the `-profile` flag, perform a CPU profile and
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save it to a file by running this command in another terminal window:
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```sh
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curl -o cpu.out http://127.0.0.1:6060/debug/pprof/profile
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```
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By default, it profiles for 30 seconds. To change the duration, use
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```sh
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curl -o cpu.out 'http://127.0.0.1:6060/debug/pprof/profile?seconds=60'
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```
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### Memory
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To save a heap profile (containing information about all memory allocated so
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far since startup), use
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```sh
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curl -o mem.out http://127.0.0.1:6060/debug/pprof/heap
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```
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Sometimes it can be useful to get a delta log, i.e. to see how memory usage
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developed from one point in time to another. For that, use
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```sh
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curl -o mem.out 'http://127.0.0.1:6060/debug/pprof/heap?seconds=20'
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```
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This will log the memory usage difference between now and 20 seconds later, so
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it gives you 20 seconds to perform the action in lazygit that you are interested
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in measuring.
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## View profile data
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To display the profile data, you can either use speedscope.app, or the pprof
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tool that comes with go. I prefer the former because it has a nicer UI and is a
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little more powerful; however, I have seen cases where it wasn't able to load a
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profile for some reason, in which case it's good to have the pprof tool as a
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fallback.
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### Speedscope.app
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Go to https://www.speedscope.app/ in your browser, and drag the saved profile
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onto the browser window. Refer to [the
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documentation](https://github.com/jlfwong/speedscope?tab=readme-ov-file#usage)
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for how to navigate the data.
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### Pprof tool
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To view a profile that you saved as `cpu.out`, use
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```sh
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go tool pprof -http=:8080 cpu.out
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```
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By default this shows the graph view, which I don't find very useful myself.
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Choose "Flame Graph" from the View menu to show a much more useful
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representation of the data.
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