Comments (2)
Kobzol
commented on May 18, 2024
1
Hi :) I think that the easiest way is just to execute your server with PGO, then let it run for some time on a representative workload (e.g. if it was a HTTP server, you can simulate some client load or just let it be used by clients for an hour).
It seems that currently if the PGO instrumented program exits abruptly, the profiles might not be saved. So the safest option is probably to just add some hard limit to your service (like end after N requests or after N minutes) and then gather profiles in this special limited mode.
There are also some other, more sophisticated ways, for example continually profiling the server in production and reoptimizing it regularly, but that's quite complex (example from Google: https://static.googleusercontent.com/media/research.google.com/cs//pubs/archive/36575.pdf).
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Kobzol
commented on May 18, 2024
Closing this as answered. If you have any further questions or requests for cargo pgo in this manner, feel free to re-open.
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Related Issues (20)
- cargo pgo optimize: Invalid cross-device link (os error 18) HOT 6
- Flags not passed to `rustc` HOT 2
- Stream output of `cargo` HOT 4
- Run without clearing PGO directory HOT 2
- A couple PGO+BOLT limitations worth documenting? HOT 5
- Reason for stdin(stdio::null)? HOT 4
- Evaluate PGO coverage HOT 4
- Bolt can be installed starting with LLVM 15 - README potentially needs an update HOT 6
- LLVM ERROR: Broken module found, compilation aborted HOT 4
- Add support for more PGO modes HOT 6
- Github action HOT 2
- options for older OS HOT 20
- cargo pgo does not run (nothing happens after cargo pgo build or run) HOT 1
- Overwriting profile is not possible HOT 4
- PGO optimization for non-Rust dependencies in Rust projects HOT 4
- PGO as part of cargo install? HOT 4
- can't find crate for `profiler_builtins` HOT 1
- Does not allow for optimizations for WASM targets HOT 2
- Difference between "cargo bench" and "cargo pgo bench" HOT 4
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