Hi, I was looking at the disk size of the gecko repository on github[1], which started at 4.7GB, and `git gc --aggressive`'d it, which made that into 2.0G. But to achieve that required quite some resources. My first attempt failed with OOM, on an AWS instance with 16 cores and 32GB RAM. I then went to another AWS instance, with 36 cores and 96GB RAM. And that went through after a while... with a peak memory usage above 60GB! Since then, Peff kindly repacked the repo on the github end, so it doesn't really need repacking locally anymore, but I can still reproduce the > 60GB memory usage with the packed repository. I gathered some data[2], all on the same 36 cores, 96GB RAM instance, with 36, 16 and 1 threads, and here's what can be observed: With 36 threads, the overall process takes 45 minutes: - 50 seconds enumerating and counting objects. - ~22 minutes compressing objects - ~22 minutes writing objects Of the 22 minutes compressing objects, more than 15 minutes are spent on the last percent of objects, and only during that part the memory usage balloons above 20GB. Memory usage goes back to 2.4G after finishing to compress. With 16 threads, the overall process takes about the same time as above, with about the same repartition. But less time is spent on compressing the last percent of objects, and memory usage goes above 20GB later than with 36 threads. Finally, with 1 thread, the picture changes greatly. The overall process takes 2.5h: - 50 seconds enumerating and counting objects. - ~2.5h compressing objects. - 3 minutes and 25 seconds writing objects! Memory usage stays reasonable, except at some point after 47 minutes, where it starts to increase up to 12.7GB, and then goes back down about half an hour later, all while stalling around the 13% progress mark. My guess is all those stalls are happening when processing the files I already had problems with in the past[3], except there are more of them now (thankfully, they were removed, so there won't be more, but that doesn't make the existing ones go away). I never ended up working on trying to make that diff faster, maybe that would help a little here, but that would probably not help much wrt the memory usage. I wonder what git could reasonably do to avoid OOMing in this case. Reduce the window size temporarily? Trade memory with time, by not keeping the objects in memory? I'm puzzled by the fact writing objects is so much faster with 1 thread. It's worth noting that the AWS instances don't have swap by default, which is actually good in this case, because if it had started to swap, it would have taken forever. 1. https://github.com/mozilla/gecko 2. https://docs.google.com/spreadsheets/d/1IE8E3BhKurXsXgwBYFXs4mRBT_512v--ip6Vhxc3o-Y/edit?usp=sharing 3. https://public-inbox.org/git/20180703223823.qedmoy2imp4dcvkp@xxxxxxxxxxxx/T/ Any thoughts? Mike
