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2020-09-17packfile: actually set approximate_object_count_validLibravatar Jeff King1-0/+4
The approximate_object_count() function tries to compute the count only once per process. But ever since it was introduced in 8e3f52d778 (find_unique_abbrev: move logic out of get_short_sha1(), 2016-10-03), we failed to actually set the "valid" flag, meaning we'd compute it fresh on every call. This turns out not to be _too_ bad, because we're only iterating through the packed_git list, and not making any system calls. But since it may get called for every abbreviated hash we output, even this can add up if you have many packs. Here are before-and-after timings for a new perf test which just asks rev-list to abbreviate each commit hash (the test repo is linux.git, with commit-graphs): Test origin HEAD ---------------------------------------------------------------------------- 5303.3: rev-list (1) 28.91(28.46+0.44) 29.03(28.65+0.38) +0.4% 5303.4: abbrev-commit (1) 1.18(1.06+0.11) 1.17(1.02+0.14) -0.8% 5303.7: rev-list (50) 28.95(28.56+0.38) 29.50(29.17+0.32) +1.9% 5303.8: abbrev-commit (50) 3.67(3.56+0.10) 3.57(3.42+0.15) -2.7% 5303.11: rev-list (1000) 30.34(29.89+0.43) 30.82(30.35+0.46) +1.6% 5303.12: abbrev-commit (1000) 86.82(86.52+0.29) 77.82(77.59+0.22) -10.4% 5303.15: load 10,000 packs 0.08(0.02+0.05) 0.08(0.02+0.06) +0.0% It doesn't help at all when we have 1 pack (5303.4), but we get a 10% speedup when there are 1000 packs (5303.12). That's a modest speedup for a case that's already slow and we'd hope to avoid in general (note how slow it is even after, because we have to look in each of those packs for abbreviations). But it's a one-line change that clearly matches the original intent, so it seems worth doing. The included perf test may also be useful for keeping an eye on any regressions in the overall abbreviation code. Reported-by: Rasmus Villemoes <rv@rasmusvillemoes.dk> Signed-off-by: Jeff King <peff@peff.net> Signed-off-by: Junio C Hamano <gitster@pobox.com>
2019-12-16Merge branch 'cs/store-packfiles-in-hashmap'Libravatar Junio C Hamano1-0/+18
In a repository with many packfiles, the cost of the procedure that avoids registering the same packfile twice was unnecessarily high by using an inefficient search algorithm, which has been corrected. * cs/store-packfiles-in-hashmap: packfile.c: speed up loading lots of packfiles
2019-12-03packfile.c: speed up loading lots of packfilesLibravatar Colin Stolley1-0/+18
When loading packfiles on start-up, we traverse the internal packfile list once per file to avoid reloading packfiles that have already been loaded. This check runs in quadratic time, so for poorly maintained repos with a large number of packfiles, it can be pretty slow. Add a hashmap containing the packfile names as we load them so that the average runtime cost of checking for already-loaded packs becomes constant. Add a perf test to p5303 to show speed-up. The existing p5303 test runtimes are dominated by other factors and do not show an appreciable speed-up. The new test in p5303 clearly exposes a speed-up in bad cases. In this test we create 10,000 packfiles and measure the start-up time of git rev-parse, which does little else besides load in the packs. Here are the numbers for the new p5303 test: Test HEAD^ HEAD --------------------------------------------------------------------- 5303.12: load 10,000 packs 1.03(0.92+0.10) 0.12(0.02+0.09) -88.3% Signed-off-by: Colin Stolley <cstolley@runbox.com> Helped-by: Jeff King <peff@peff.net> [jc: squashed the change to call hashmap in install_packed_git() by peff] Signed-off-by: Junio C Hamano <gitster@pobox.com>
2019-11-12pack-objects: avoid pointless oe_map_new_pack() callsLibravatar Jeff King1-0/+1
This patch fixes an extreme slowdown in pack-objects when you have more than 1023 packs. See below for numbers. Since 43fa44fa3b (pack-objects: move in_pack out of struct object_entry, 2018-04-14), we use a complicated system to save some per-object memory. Each object_entry structs gets a 10-bit field to store the index of the pack it's in. We map those indices into pointers using packing_data->in_pack_by_idx, which we initialize at the start of the program. If we have 2^10 or more packs, then we instead create an array of pack pointers, one per object. This is packing_data->in_pack. So far so good. But there's one other tricky case: if a new pack arrives after we've initialized in_pack_by_idx, it won't have an index yet. We solve that by calling oe_map_new_pack(), which just switches on the fly to the less-optimal in_pack mechanism, allocating the array and back-filling it for already-seen objects. But that logic kicks in even when we've switched to it already (whether because we really did see a new pack, or because we had too many packs in the first place). The result doesn't produce a wrong outcome, but it's very slow. What happens is this: - imagine you have a repo with 500k objects and 2000 packs that you want to repack. - before looking at any objects, we call prepare_in_pack_by_idx(). It starts allocating an index for each pack. On the 1024th pack, it sees there are too many, so it bails, leaving in_pack_by_idx as NULL. - while actually adding objects to the packing list, we call oe_set_in_pack(), which checks whether the pack already has an index. If it's one of the packs after the first 1023, then it doesn't have one, and we'll call oe_map_new_pack(). But there's no useful work for that function to do. We're already using in_pack, so it just uselessly walks over the complete list of objects, trying to backfill in_pack. And we end up doing this for almost 1000 packs (each of which may be triggered by more than one object). And each time it triggers, we may iterate over up to 500k objects. So in the absolute worst case, this is quadratic in the number of objects. The solution is simple: we don't need to bother checking whether the pack has an index if we've already converted to using in_pack, since by definition we're not going to use it. So we can just push the "does the pack have a valid index" check down into that half of the conditional, where we know we're going to use it. The current test in p5303 sadly doesn't notice this problem, since it maxes out at 1000 packs. If we add a new test to it at 2000 packs, it does show the improvement: Test HEAD^ HEAD ---------------------------------------------------------------------- 5303.12: repack (2000) 26.72(39.68+0.67) 15.70(28.70+0.66) -41.2% However, these many-pack test cases are rather expensive to run, so adding larger and larger numbers isn't appealing. Instead, we can show it off more easily by using GIT_TEST_FULL_IN_PACK_ARRAY, which forces us into the absolute worst case: no pack has an index, so we'll trigger oe_map_new_pack() pointlessly for every single object, making it truly quadratic. Here are the numbers (on git.git) with the included change to p5303: Test HEAD^ HEAD ---------------------------------------------------------------------- 5303.3: rev-list (1) 2.05(1.98+0.06) 2.06(1.99+0.06) +0.5% 5303.4: repack (1) 33.45(33.46+0.19) 2.75(2.73+0.22) -91.8% 5303.6: rev-list (50) 2.07(2.01+0.06) 2.06(2.01+0.05) -0.5% 5303.7: repack (50) 34.21(35.18+0.16) 3.49(4.50+0.12) -89.8% 5303.9: rev-list (1000) 2.87(2.78+0.08) 2.88(2.80+0.07) +0.3% 5303.10: repack (1000) 41.26(51.30+0.47) 10.75(20.75+0.44) -73.9% Again, those improvements aren't realistic for the 1-pack case (because in the real world, the full-array solution doesn't kick in), but it's more useful to be testing the more-complicated code path. While we're looking at this issue, we'll tweak one more thing: in oe_map_new_pack(), we call REALLOC_ARRAY(pack->in_pack). But we'd never expect to get here unless we're back-filling it for the first time, in which case it would be NULL. So let's switch that to ALLOC_ARRAY() for clarity, and add a BUG() to document the expectation. Unfortunately this code isn't well-covered in the test suite because it's inherently racy (it only kicks in if somebody else adds a new pack while we're in the middle of repacking). Signed-off-by: Jeff King <peff@peff.net> Reviewed-by: Derrick Stolee <dstolee@microsoft.com> Signed-off-by: Junio C Hamano <gitster@pobox.com>
2016-07-29t/perf: add tests for many-pack scenariosLibravatar Jeff King1-0/+87
Git's pack storage does efficient (log n) lookups in a single packfile's index, but if we have multiple packfiles, we have to linearly search each for a given object. This patch introduces some timing tests for cases where we have a large number of packs, so that we can measure any improvements we make in the following patches. The main thing we want to time is object lookup. To do this, we measure "git rev-list --objects --all", which does a fairly large number of object lookups (essentially one per object in the repository). However, we also measure the time to do a full repack, which is interesting for two reasons. One is that in addition to the usual pack lookup, it has its own linear iteration over the list of packs. And two is that because it it is the tool one uses to go from an inefficient many-pack situation back to a single pack, we care about its performance not only at marginal numbers of packs, but at the extreme cases (e.g., if you somehow end up with 5,000 packs, it is the only way to get back to 1 pack, so we need to make sure it performs well). We measure the performance of each command in three scenarios: 1 pack, 50 packs, and 1,000 packs. The 1-pack case is a baseline; any optimizations we do to handle multiple packs cannot possibly perform better than this. The 50-pack case is as far as Git should generally allow your repository to go, if you have auto-gc enabled with the default settings. So this represents the maximum performance improvement we would expect under normal circumstances. The 1,000-pack case is hopefully rare, though I have seen it in the wild where automatic maintenance was broken for some time (and the repository continued to receive pushes). This represents cases where we care less about general performance, but want to make sure that a full repack command does not take excessively long. Signed-off-by: Jeff King <peff@peff.net> Signed-off-by: Junio C Hamano <gitster@pobox.com>