[[!tag wishlist]] [My ikiwiki instance](http://www.ipol.im/) is quite heavy. 674M of data in the source repo, 1.1G in its .git folder. Lots of \[[!img ]] (~2200), lots of \[[!teximg ]] (~2700). A complete rebuild takes 10 minutes. We could use a big machine, with plenty of CPUs. Could some multi-threading support be added to ikiwiki, by forking out all the external heavy plugins (imagemagick, tex, ...) and/or by processing pages in parallel? Disclaimer: I know nothing of the Perl approach to parallel processing. > I agree that it would be lovely to be able to use multiple processors to speed up rebuilds on big sites (I have a big site myself), but, taking a quick look at what Perl threads entails, and taking into acount what I've seen of the code of IkiWiki, it would take a massive rewrite to make IkiWiki thread-safe - the API would have to be completely rewritten - and then more work again to introduce threading itself. So my unofficial humble opinion is that it's unlikely to be done. > Which is a pity, and I hope I'm mistaken about it. > --[[KathrynAndersen]] > > I have much less experience with the internals of Ikiwiki, much > > less Multi-threading perl, but I agree that to make Ikiwiki thread > > safe and to make the modifications to really take advantage of the > > threads is probably beyond the realm of reasonable > > expectations. Having said that, I wonder if there aren't ways to > > make Ikiwiki perform better for these big cases where the only > > option is to wait for it to grind through everything. Something > > along the lines of doing all of the aggregation and dependency > > heavy stuff early on, and then doing all of the page rendering > > stuff at the end quasi-asynchronously? Or am I way off in the deep > > end. > > > > From a practical perspective, it seems like these massive rebuild > > situations represent a really small subset of ikiwiki builds. Most > > sites are pretty small, and most sites need full rebuilds very > > very infrequently. In that scope, 10 minute rebuilds aren't that > > bad seeming. In terms of performance challenges, it's the one page > > with 3-5 dependency that takes 10 seconds (say) to rebuild that's > > a larger challenge for Ikiwiki as a whole. At the same time, I'd > > be willing to bet that performance benefits for these really big > > repositories for using fast disks (i.e. SSDs) could probably just > > about meet the benefit of most of the threading/async work. > > > > --[[tychoish]] >>> It's at this point that doing profiling for a particular site would come >>> in, because it would depend on the site content and how exactly IkiWiki is >>> being used as to what the performance bottlenecks would be. For the >>> original poster, it would be image processing. For me, it tends to be >>> PageSpecs, because I have a lot of maps and reports. >>> But I sincerely don't think that Disk I/O is the main bottleneck, not when >>> the original poster mentions CPU usage, and also in my experience, I see >>> IkiWiki chewing up 100% CPU usage one CPU, while the others remain idle. I >>> haven't noticed slowdowns due to waiting for disk I/O, whether that be a >>> system with HD or SSD storage. >>> I agree that large sites are probably not the most common use-case, but it >>> can be a chicken-and-egg situation with large sites and complete rebuilds, >>> since it can often be the case with a large site that rebuilding based on >>> dependencies takes *longer* than rebuilding the site from scratch, simply >>> because there are so many pages that are interdependent. It's not always >>> the number of pages itself, but how the site is being used. If IkiWiki is >>> used with the absolute minimum number of page-dependencies - that is, no >>> maps, no sitemaps, no trails, no tags, no backlinks, no albums - then one >>> can have a very large number of pages without having performance problems. >>> But when you have a change in PageA affecting PageB which affects PageC, >>> PageD, PageE and PageF, then performance can drop off horribly. And it's a >>> trade-off, because having features that interlink pages automatically is >>> really nifty ad useful - but they have a price. >>> I'm not really sure what the best solution is. Me, I profile my IkiWiki builds and try to tweak performance for them... but there's only so much I can do. >>> --[[KathrynAndersen]] >>>> IMHO, the best way to get a multithreaded ikiwiki is to rewrite it >>>> in haskell, using as much pure code as possible. Many avenues >>>> then would open up to taking advantage of haskell's ability to >>>> parallize pure code. >>>> >>>> With that said, we already have some nice invariants that could be >>>> used to parallelize page builds. In particular, we know that >>>> page A never needs state built up while building page B, for any >>>> pages A and B that don't have a dependency relationship -- and ikiwiki >>>> tracks such dependency relationships, although not currently in a form >>>> that makes it very easy (or fast..) to pick out such groups of >>>> unrelated pages. >>>> >>>> OTOH, there are problems.. building page A can result in changes to >>>> ikiwiki's state; building page B can result in other changes. All >>>> such changes would have to be made thread-safely. And would the >>>> resulting lock contention result in a program that ran any faster >>>> once parallelized? >>>> >>>> Which is why [[rewrite_ikiwiki_in_haskell]], while pretty insane, is >>>> something I keep thinking about. If only I had a spare year.. >>>> --[[Joey]]