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4 Jan 2024
@joerg:thalheim.ioMic92Do you have numbers how fast github is able to build those 1000 derivations?09:56:47
@glepage:matrix.orgGaétan Lepage
In reply to @joerg:thalheim.io
Do you have numbers how fast github is able to build those 1000 derivations?
Recently, we switch to my own self-hosted github runner (Ryzen 5600X 6C/12T, 16GB) and it takes a few minutes at most (depends on what is already available on cachix)
10:40:26
@joerg:thalheim.ioMic92Ok. but how long does a full rebuild takes?10:51:50
@joerg:thalheim.ioMic92There is also some caching done after a second build10:52:30
@glepage:matrix.orgGaétan LepageIt took 1 hour and 48 minutes11:13:58
@joerg:thalheim.ioMic92How long on your server?11:33:02
@glepage:matrix.orgGaétan Lepage<10min 12:26:53
@joerg:thalheim.ioMic92You probably also didn't had to do any remote builds, which also seem a bottleneck12:36:39
@glepage:matrix.orgGaétan Lepage Yes, it looks like I could run nix flake check --all-systems locally even though I had no remote-builders 12:43:00
@joerg:thalheim.ioMic92what are those module- packages?12:49:27
@joerg:thalheim.ioMic92It looks like nix-eval-jobs report those to be not cached.12:49:40
@joerg:thalheim.ioMic92Also cachix than says during upload they are.12:50:05
@joerg:thalheim.ioMic92mhm locally they are considered cached12:56:44
@joerg:thalheim.ioMic92Another bottleneck might be also that it update's the job status on github for every derivation. 13:08:49
@joerg:thalheim.ioMic92All in all as of today, I haven't really optimized it for these types of workloads. Hydra might be still the better choice for large package sets.13:15:21
5 Jan 2024
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