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CI: Large cache will cause runner to run out of space #480
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We could look into: https://github.com/Swatinem/rust-cache but might take a bit of doing to figure out best configuration. |
I wonder if maybe we're caching between two jobs that use different versions of Rust. Like we're building the project with nightly, and then with stable or something and using the same cache. |
I also wonder if there's any caches we can combine? I don't think we can do that with any of the target-specific ones (x86 & wasm32) but like the check dependencies job, build docs, etc. might be able to share. It looks like we wouldn't save more than 1 GB but it might be a step in the right direction. |
Combining caches seems like a good idea in general for reducing total cache usage - but considering we are having issues due to a single cache growing beyond >4gb - not sure if this will help or make things worse? (In that a merged cache key might hit 4GB faster, but if it is the same stuff in it - probably good to do). I don't know the answer though, definitely open to any experimentation here. Looking for anything like this that might grow cache unnecessarily might help alongside merging caches though:
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This might also be something to look at using - https://github.com/Leafwing-Studios/cargo-cache It includes the rust version in cache key - and additionally has a sweep feature that removes artifacts in cache that were not used in job run, pruning older artifacts from cache. Might help with the growth of cache over time? |
First saw some of this and discussed on #469 -
This job just failed due to a large cache being unzipped running out of space on actions runner. https://github.com/fishfolk/bones/actions/runs/11241667423/job/31253700224
While the job seems to just abruptly terminate, at the top there is a hidden "Annotions 1 error" drop down, which shows:
Perhaps we are caching too much or caching too widely across different CI jobs (maybe some do not overlap in build artifacts as much as we think?) - maybe should look at other large rust projects and see how they approach caching.
CC: @nelson137 @zicklag
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