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uv/crates/uv-dispatch
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konsti e843433b07
Cache workspace discovery (#12096) 
Reduce the overhead of `uv run` in large workspaces. Instead of
re-discovering the entire workspace each time we resolve the metadata of
a member, we can the discovered set of workspace members. Care needs to
be taken to not cache the discovery for `uv init`, `uv add` and `uv
remove`, which change the definitions of workspace members.

Below is apache airflow e3fe06382df4b19f2c0de40ce7c0bdc726754c74 `uv run
python` with a minimal payload. With this change, we avoid a ~350ms
overhead of each `uv run` invocation.

```
$ hyperfine --warmup 2 \
    "uv run --no-dev python -c \"print('hi')\"" \
    "uv-profiling run --no-dev python -c \"print('hi')\""
Benchmark 1: uv run --no-dev python -c "print('hi')"
  Time (mean ± σ):     492.6 ms ±   7.0 ms    [User: 393.2 ms, System: 97.1 ms]
  Range (min … max):   482.3 ms … 501.5 ms    10 runs
 
Benchmark 2: uv-profiling run --no-dev python -c "print('hi')"
  Time (mean ± σ):     129.7 ms ±   2.5 ms    [User: 105.4 ms, System: 23.2 ms]
  Range (min … max):   126.0 ms … 136.1 ms    22 runs
 
Summary
  uv-profiling run --no-dev python -c "print('hi')" ran
    3.80 ± 0.09 times faster than uv run --no-dev python -c "print('hi')"
```

The profile after those change below. We still spend a large chunk in
toml parsing (both `uv.lock` and `pyproject.toml`), but it's not
excessive anymore.


![image](https://github.com/user-attachments/assets/6fe78510-7e25-48ee-8a6d-220ee98ad120)
2025-03-10 22:03:30 +01:00
..
src Cache workspace discovery (#12096) 2025-03-10 22:03:30 +01:00
Cargo.toml Cache workspace discovery (#12096) 2025-03-10 22:03:30 +01:00