mirror of https://github.com/astral-sh/uv
70dad51cd9
I previously add `spawn_blocking` to the version map construction as it had become a bottleneck (https://github.com/astral-sh/uv/pull/1163/files#diff-704ceeaedada99f90369eac535713ec82e19550bff166cd44745d7277ecae527R116). With the zero copy deserialization, this has become so fast we don't need to move it to the thread pool anymore. I've also checked `DataWithCachePolicy` but it seems to still take a significant amount of time. Span visualization: Resolving jupyter warm:  Resolving jupyter cold:   I've also updated the instrumentation a little. We don't seem cpu bound for the cold cache (top) and refresh case (bottom) from jupyter:   |
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| .. | ||
| httpcache | ||
| cached_client.rs | ||
| error.rs | ||
| flat_index.rs | ||
| html.rs | ||
| lib.rs | ||
| middleware.rs | ||
| registry_client.rs | ||
| remote_metadata.rs | ||
| rkyvutil.rs | ||