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14 Oct 2025
@vcunat:matrix.orgvcunatI don't think cgoups will help with this significantly.17:23:21
@sliedes:hacklab.fiSami LiedesNo, not this issue, on hydra.17:23:28
@k900:0upti.meK900Yeah it won't17:23:37
@sliedes:hacklab.fiSami LiedesI agree, if it has enough work to do.17:23:35
@k900:0upti.meK900Not even on your own setup17:23:46
@sliedes:hacklab.fiSami LiedesWell, I think it should in the current stage, but maybe less if I reduce my overcommitment :)17:24:06
@sliedes:hacklab.fiSami LiedesBut I'm also working to measure this, so I may get back to this!17:24:47
16 Oct 2025
@arianvp:matrix.orgArian BMGcould you tell me how many narinfos we’re publishing per week? 10:52:17
@brian:bmcgee.ieBMGDownload query.csv11:06:14
@brian:bmcgee.ieBMG Here you go ^ 11:06:22
@brian:bmcgee.ieBMGimage.png
Download image.png
11:06:57
@brian:bmcgee.ieBMG Last inventory I downloaded was 30th Sept
11:07:05
@brian:bmcgee.ieBMGI grouped by start of week so the last entry is under the normal11:07:16
@arianvp:matrix.orgArianThanks!11:07:35
@raitobezarius:matrix.orgraitobezariusso do I win the prize Arian? :>11:08:28
@brian:bmcgee.ieBMGWhat was the guess?11:09:44
@raitobezarius:matrix.orgraitobezariusI said 5.4M packages data per month11:09:51
@brian:bmcgee.ieBMGHalf way there πŸ˜‰11:10:11
@brian:bmcgee.ieBMGLooks about 10 millionish a month11:10:20
@brian:bmcgee.ieBMGI can do the month rollup11:10:26
@raitobezarius:matrix.orgraitobezariusAnd given that it's narinfo, packages data should be twice that amount or so11:10:38
@brian:bmcgee.ieBMGI can tell you the exact size11:11:00
@brian:bmcgee.ieBMGI have all that info11:11:02
@brian:bmcgee.ieBMGnot just for narinfos11:11:09
@brian:bmcgee.ieBMGactually I made a mistake11:11:47
@brian:bmcgee.ieBMGThat query is all objects, not just narinfos11:11:55
@raitobezarius:matrix.orgraitobezarius so I win 11:12:03
@brian:bmcgee.ieBMGLet me do a few separate queries here, be more careful11:12:07
@raitobezarius:matrix.orgraitobezariusBut basically the calculation is there's roughly 300k derivations per nixpkgs eval across the 4 architectures, there's 6 channels in parallel (some have common derivations, etc.), so it gives you ~1.8M upperbound over the 6 channels, given that the fast paced channels move every 1-2 days and the slow paced channels move β€” well β€” when they want, you can reasonably say there's some interpolation of 1.8M * 3 = ~5.4M derivations happening (and I said every month, but I should have said every 2 weeks or 3 weeks)11:14:39
@vcunat:matrix.orgvcunatWith this kind of computation it's easy to make 10x error in the totals.11:18:33

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