kernel/git - git - PowerEL Git System

Commit Graph

Author	SHA1	Message	Date
Taylor Blau	59f0d5073f	bloom: encode out-of-bounds filters as non-empty When a changed-path Bloom filter has either zero, or more than a certain number (commonly 512) of entries, the commit-graph machinery encodes it as "missing". More specifically, it sets the indices adjacent in the BIDX chunk as equal to each other to indicate a "length 0" filter; that is, that the filter occupies zero bytes on disk. This has heretofore been fine, since the commit-graph machinery has no need to care about these filters with too few or too many changed paths. Both cases act like no filter has been generated at all, and so there is no need to store them. In a subsequent commit, however, the commit-graph machinery will learn to only compute Bloom filters for some commits in the current commit-graph layer. This is a change from the current implementation which computes Bloom filters for all commits that are in the layer being written. Critically for this patch, only computing some of the Bloom filters means adding a third state for length 0 Bloom filters: zero entries, too many entries, or "hasn't been computed". It will be important for that future patch to distinguish between "not representable" (i.e., zero or too-many changed paths), and "hasn't been computed". In particular, we don't want to waste time recomputing filters that have already been computed. To that end, change how we store Bloom filters in the "computed but not representable" category: - Bloom filters with no entries are stored as a single byte with all bits low (i.e., all queries to that Bloom filter will return "definitely not") - Bloom filters with too many entries are stored as a single byte with all bits set high (i.e., all queries to that Bloom filter will return "maybe"). These rules are sufficient to not incur a behavior change by changing the on-disk representation of these two classes. Likewise, no specification changes are necessary for the commit-graph format, either: - Filters that were previously empty will be recomputed and stored according to the new rules, and - old clients reading filters generated by new clients will interpret the filters correctly and be none the wiser to how they were generated. Clients will invoke the Bloom machinery in more cases than before, but this can be addressed by returning a NULL filter when all bits are set high. This can be addressed in a future patch. Note that this does increase the size of on-disk commit-graphs, but far less than other proposals. In particular, this is generally more efficient than storing a bitmap for which commits haven't computed their Bloom filters. Storing a bitmap incurs a penalty of one bit per commit, whereas storing explicit filters as above incurs a penalty of one byte per too-large or empty commit. In practice, these boundary commits likely occupy a small proportion of the overall number of commits, and so the size penalty is likely smaller than storing a bitmap for all commits. See, for example, these relative proportions of such boundary commits (collected by SZEDER Gábor): \| Percentage of \| commit-graph \| \| \| commits modifying \| file size \| \| ├────────┬──────────────┼───────────────────┤ pct. \| \| 0 path \| >= 512 paths \| before \| after \| change \| ┌────────────────┼────────┼──────────────┼─────────┼─────────┼───────────┤ \| android-base \| 13.20% \| 0.13% \| 37.468M \| 37.534M \| +0.1741 % \| \| cmssw \| 0.15% \| 0.23% \| 17.118M \| 17.119M \| +0.0091 % \| \| cpython \| 3.07% \| 0.01% \| 7.967M \| 7.971M \| +0.0423 % \| \| elasticsearch \| 0.70% \| 1.00% \| 8.833M \| 8.835M \| +0.0128 % \| \| gcc \| 0.00% \| 0.08% \| 16.073M \| 16.074M \| +0.0030 % \| \| gecko-dev \| 0.14% \| 0.64% \| 59.868M \| 59.874M \| +0.0105 % \| \| git \| 0.11% \| 0.02% \| 3.895M \| 3.895M \| +0.0020 % \| \| glibc \| 0.02% \| 0.10% \| 3.555M \| 3.555M \| +0.0021 % \| \| go \| 0.00% \| 0.07% \| 3.186M \| 3.186M \| +0.0018 % \| \| homebrew-cask \| 0.40% \| 0.02% \| 7.035M \| 7.035M \| +0.0065 % \| \| homebrew-core \| 0.01% \| 0.01% \| 11.611M \| 11.611M \| +0.0002 % \| \| jdk \| 0.26% \| 5.64% \| 5.537M \| 5.540M \| +0.0590 % \| \| linux \| 0.01% \| 0.51% \| 63.735M \| 63.740M \| +0.0073 % \| \| llvm-project \| 0.12% \| 0.03% \| 25.515M \| 25.516M \| +0.0050 % \| \| rails \| 0.10% \| 0.10% \| 6.252M \| 6.252M \| +0.0027 % \| \| rust \| 0.07% \| 0.17% \| 9.364M \| 9.364M \| +0.0033 % \| \| tensorflow \| 0.09% \| 1.02% \| 7.009M \| 7.010M \| +0.0158 % \| \| webkit \| 0.05% \| 0.31% \| 17.405M \| 17.406M \| +0.0047 % \| (where the above increase is determined by computing a non-split commit-graph before and after this patch). Given that these projects are all "large" by commit count, the storage cost by writing these filters explicitly is negligible. In the most extreme example, android-base (which has 494,848 commits at the time of writing) would have its commit-graph increase by a modest 68.4 KB. Finally, a test to exercise filters which contain too many changed path entries will be introduced in a subsequent patch. Suggested-by: SZEDER Gábor <szeder.dev@gmail.com> Suggested-by: Jakub Narębski <jnareb@gmail.com> Helped-by: Derrick Stolee <dstolee@microsoft.com> Helped-by: SZEDER Gábor <szeder.dev@gmail.com> Helped-by: Junio C Hamano <gitster@pobox.com> Signed-off-by: Taylor Blau <me@ttaylorr.com> Signed-off-by: Junio C Hamano <gitster@pobox.com>	4 years ago
Taylor Blau	9a7a9ed10d	bloom: use provided 'struct bloom_filter_settings' When 'get_or_compute_bloom_filter()' needs to compute a Bloom filter from scratch, it looks to the default 'struct bloom_filter_settings' in order to determine the maximum number of changed paths, number of bits per entry, and so on. All of these values have so far been constant, and so there was no need to pass in a pointer from the caller (eg., the one that is stored in the 'struct write_commit_graph_context'). Start passing in a 'struct bloom_filter_settings *' instead of using the default values to respect graph-specific settings (eg., in the case of setting 'GIT_TEST_BLOOM_SETTINGS_MAX_CHANGED_PATHS'). In order to have an initialized value for these settings, move its initialization to earlier in the commit-graph write. Signed-off-by: Taylor Blau <me@ttaylorr.com> Signed-off-by: Junio C Hamano <gitster@pobox.com>	4 years ago
Taylor Blau	312cff5207	bloom: split 'get_bloom_filter()' in two 'get_bloom_filter' takes a flag to control whether it will compute a Bloom filter if the requested one is missing. In the next patch, we'll add yet another parameter to this method, which would force all but one caller to specify an extra 'NULL' parameter at the end. Instead of doing this, split 'get_bloom_filter' into two functions: 'get_bloom_filter' and 'get_or_compute_bloom_filter'. The former only looks up a Bloom filter (and does not compute one if it's missing, thus dropping the 'compute_if_not_present' flag). The latter does compute missing Bloom filters, with an additional parameter to store whether or not it needed to do so. This simplifies many call-sites, since the majority of existing callers to 'get_bloom_filter' do not want missing Bloom filters to be computed (so they can drop the parameter entirely and use the simpler version of the function). While we're at it, instrument the new 'get_or_compute_bloom_filter()' with counters in the 'write_commit_graph_context' struct which store the number of filters that we did and didn't compute, as well as filters that were truncated. It would be nice to drop the 'compute_if_not_present' flag entirely, since all remaining callers of 'get_or_compute_bloom_filter' pass it as '1', but this will change in a future patch and hence cannot be removed. Signed-off-by: Taylor Blau <me@ttaylorr.com> Signed-off-by: Junio C Hamano <gitster@pobox.com>	4 years ago
Taylor Blau	97ffa4fab5	commit-graph.c: store maximum changed paths For now, we assume that there is a fixed constant describing the maximum number of changed paths we are willing to store in a Bloom filter. Prepare for that to (at least partially) not be the case by making it a member of the 'struct bloom_filter_settings'. This will be helpful in the subsequent patches by reducing the size of test cases that exercise storing too many changed paths, as well as preparing for an eventual future in which this value might change. This patch alone does not cause newly generated Bloom filters to use a custom upper-bound on the maximum number of changed paths a single Bloom filter can hold, that will occur in a later patch. Signed-off-by: Taylor Blau <me@ttaylorr.com> Signed-off-by: Junio C Hamano <gitster@pobox.com>	4 years ago
Derrick Stolee	f32dde8c12	line-log: integrate with changed-path Bloom filters The previous changes to the line-log machinery focused on making the first result appear faster. This was achieved by no longer walking the entire commit history before returning the early results. There is still another way to improve the performance: walk most commits much faster. Let's use the changed-path Bloom filters to reduce time spent computing diffs. Since the line-log computation requires opening blobs and checking the content-diff, there is still a lot of necessary computation that cannot be replaced with changed-path Bloom filters. The part that we can reduce is most effective when checking the history of a file that is deep in several directories and those directories are modified frequently. In this case, the computation to check if a commit is TREESAME to its first parent takes a large fraction of the time. That is ripe for improvement with changed-path Bloom filters. We must ensure that prepare_to_use_bloom_filters() is called in revision.c so that the bloom_filter_settings are loaded into the struct rev_info from the commit-graph. Of course, some cases are still forbidden, but in the line-log case the pathspec is provided in a different way than normal. Since multiple paths and segments could be requested, we compute the struct bloom_key data dynamically during the commit walk. This could likely be improved, but adds code complexity that is not valuable at this time. There are two cases to care about: merge commits and "ordinary" commits. Merge commits have multiple parents, but if we are TREESAME to our first parent in every range, then pass the blame for all ranges to the first parent. Ordinary commits have the same condition, but each is done slightly differently in the process_ranges_[merge\|ordinary]_commit() methods. By checking if the changed-path Bloom filter can guarantee TREESAME, we can avoid that tree-diff cost. If the filter says "probably changed", then we need to run the tree-diff and then the blob-diff if there was a real edit. The Linux kernel repository is a good testing ground for the performance improvements claimed here. There are two different cases to test. The first is the "entire history" case, where we output the entire history to /dev/null to see how long it would take to compute the full line-log history. The second is the "first result" case, where we find how long it takes to show the first value, which is an indicator of how quickly a user would see responses when waiting at a terminal. To test, I selected the paths that were changed most frequently in the top 10,000 commits using this command (stolen from StackOverflow [1]): git log --pretty=format: --name-only -n 10000 \| sort \| \ uniq -c \| sort -rg \| head -10 which results in 121 MAINTAINERS 63 fs/namei.c 60 arch/x86/kvm/cpuid.c 59 fs/io_uring.c 58 arch/x86/kvm/vmx/vmx.c 51 arch/x86/kvm/x86.c 45 arch/x86/kvm/svm.c 42 fs/btrfs/disk-io.c 42 Documentation/scsi/index.rst (along with a bogus first result). It appears that the path arch/x86/kvm/svm.c was renamed, so we ignore that entry. This leaves the following results for the real command time: \| \| Entire History \| First Result \| \| Path \| Before \| After \| Before \| After \| \|------------------------------\|--------\|--------\|--------\|--------\| \| MAINTAINERS \| 4.26 s \| 3.87 s \| 0.41 s \| 0.39 s \| \| fs/namei.c \| 1.99 s \| 0.99 s \| 0.42 s \| 0.21 s \| \| arch/x86/kvm/cpuid.c \| 5.28 s \| 1.12 s \| 0.16 s \| 0.09 s \| \| fs/io_uring.c \| 4.34 s \| 0.99 s \| 0.94 s \| 0.27 s \| \| arch/x86/kvm/vmx/vmx.c \| 5.01 s \| 1.34 s \| 0.21 s \| 0.12 s \| \| arch/x86/kvm/x86.c \| 2.24 s \| 1.18 s \| 0.21 s \| 0.14 s \| \| fs/btrfs/disk-io.c \| 1.82 s \| 1.01 s \| 0.06 s \| 0.05 s \| \| Documentation/scsi/index.rst \| 3.30 s \| 0.89 s \| 1.46 s \| 0.03 s \| It is worth noting that the least speedup comes for the MAINTAINERS file which is * edited frequently, * low in the directory heirarchy, and * quite a large file. All of those points lead to spending more time doing the blob diff and less time doing the tree diff. Still, we see some improvement in that case and significant improvement in other cases. A 2-4x speedup is likely the more typical case as opposed to the small 5% change for that file. Signed-off-by: Derrick Stolee <dstolee@microsoft.com> Signed-off-by: Junio C Hamano <gitster@pobox.com>	5 years ago
Đoàn Trần Công Danh	066b70ae97	bloom: fix `make sparse` warning * We need a `final_new_line` to make our source code as text file, per POSIX and C specification. * `bloom_filters` should be limited to interal linkage only Signed-off-by: Đoàn Trần Công Danh <congdanhqx@gmail.com> Signed-off-by: Ramsay Jones <ramsay@ramsayjones.plus.com> Signed-off-by: Junio C Hamano <gitster@pobox.com>	5 years ago
Derrick Stolee	eb591e42fd	bloom: fix whitespace around tab length Fix alignment issues that were likely introduced due to an editor using tab lengths of 4 instead of 8. Signed-off-by: Derrick Stolee <dstolee@microsoft.com> Signed-off-by: Junio C Hamano <gitster@pobox.com>	5 years ago
Garima Singh	a56b9464cd	revision.c: use Bloom filters to speed up path based revision walks Revision walk will now use Bloom filters for commits to speed up revision walks for a particular path (for computing history for that path), if they are present in the commit-graph file. We load the Bloom filters during the prepare_revision_walk step, currently only when dealing with a single pathspec. Extending it to work with multiple pathspecs can be explored and built on top of this series in the future. While comparing trees in rev_compare_trees(), if the Bloom filter says that the file is not different between the two trees, we don't need to compute the expensive diff. This is where we get our performance gains. The other response of the Bloom filter is '`:maybe', in which case we fall back to the full diff calculation to determine if the path was changed in the commit. We do not try to use Bloom filters when the '--walk-reflogs' option is specified. The '--walk-reflogs' option does not walk the commit ancestry chain like the rest of the options. Incorporating the performance gains when walking reflog entries would add more complexity, and can be explored in a later series. Performance Gains: We tested the performance of `git log -- <path>` on the git repo, the linux and some internal large repos, with a variety of paths of varying depths. On the git and linux repos: - we observed a 2x to 5x speed up. On a large internal repo with files seated 6-10 levels deep in the tree: - we observed 10x to 20x speed ups, with some paths going up to 28 times faster. Helped-by: Derrick Stolee <dstolee@microsoft.com Helped-by: SZEDER Gábor <szeder.dev@gmail.com> Helped-by: Jonathan Tan <jonathantanmy@google.com> Signed-off-by: Garima Singh <garima.singh@microsoft.com> Signed-off-by: Junio C Hamano <gitster@pobox.com>	5 years ago
Garima Singh	1217c03e7b	commit-graph: reuse existing Bloom filters during write Add logic to a) parse Bloom filter information from the commit graph file and, b) re-use existing Bloom filters. See Documentation/technical/commit-graph-format for the format in which the Bloom filter information is written to the commit graph file. To read Bloom filter for a given commit with lexicographic position 'i' we need to: 1. Read BIDX[i] which essentially gives us the starting index in BDAT for filter of commit i+1. It is essentially the index past the end of the filter of commit i. It is called end_index in the code. 2. For i>0, read BIDX[i-1] which will give us the starting index in BDAT for filter of commit i. It is called the start_index in the code. For the first commit, where i = 0, Bloom filter data starts at the beginning, just past the header in the BDAT chunk. Hence, start_index will be 0. 3. The length of the filter will be end_index - start_index, because BIDX[i] gives the cumulative 8-byte words including the ith commit's filter. We toggle whether Bloom filters should be recomputed based on the compute_if_not_present flag. Helped-by: Derrick Stolee <dstolee@microsoft.com> Signed-off-by: Garima Singh <garima.singh@microsoft.com> Signed-off-by: Junio C Hamano <gitster@pobox.com>	5 years ago
Garima Singh	ed591febb4	bloom.c: core Bloom filter implementation for changed paths. Add the core implementation for computing Bloom filters for the paths changed between a commit and it's first parent. We fill the Bloom filters as (const char *data, int len) pairs as `struct bloom_filters" within a commit slab. Filters for commits with no changes and more than 512 changes, is represented with a filter of length zero. There is no gain in distinguishing between a computed filter of length zero for a commit with no changes, and an uncomputed filter for new commits or for commits with more than 512 changes. The effect on `git log -- path` is the same in both cases. We will fall back to the normal diffing algorithm when we can't benefit from the existence of Bloom filters. Helped-by: Jeff King <peff@peff.net> Helped-by: Derrick Stolee <dstolee@microsoft.com> Reviewed-by: Jakub Narębski <jnareb@gmail.com> Signed-off-by: Garima Singh <garima.singh@microsoft.com> Signed-off-by: Junio C Hamano <gitster@pobox.com>	5 years ago
Garima Singh	f1294eaf7f	bloom.c: introduce core Bloom filter constructs Introduce the constructs for Bloom filters, Bloom filter keys and Bloom filter settings. For details on what Bloom filters are and how they work, refer to Dr. Derrick Stolee's blog post [1]. It provides a concise explanation of the adoption of Bloom filters as described in [2] and [3]. Implementation specifics: 1. We currently use 7 and 10 for the number of hashes and the size of each entry respectively. They served as great starting values, the mathematical details behind this choice are described in [1] and [4]. The implementation, while not completely open to it at the moment, is flexible enough to allow for tweaking these settings in the future. Note: The performance gains we have observed with these values are significant enough that we did not need to tweak these settings. The performance numbers are included in the cover letter of this series and in the commit message of the subsequent commit where we use Bloom filters to speed up `git log -- path`. 2. As described in [1] and [3], we do not need 7 independent hashing functions. We use the Murmur3 hashing scheme, seed it twice and then combine those to procure an arbitrary number of hash values. 3. The filters will be sized according to the number of changes in each commit, in multiples of 8 bit words. [1] Derrick Stolee "Supercharging the Git Commit Graph IV: Bloom Filters" https://devblogs.microsoft.com/devops/super-charging-the-git-commit-graph-iv-Bloom-filters/ [2] Flavio Bonomi, Michael Mitzenmacher, Rina Panigrahy, Sushil Singh, George Varghese "An Improved Construction for Counting Bloom Filters" http://theory.stanford.edu/~rinap/papers/esa2006b.pdf https://doi.org/10.1007/11841036_61 [3] Peter C. Dillinger and Panagiotis Manolios "Bloom Filters in Probabilistic Verification" http://www.ccs.neu.edu/home/pete/pub/Bloom-filters-verification.pdf https://doi.org/10.1007/978-3-540-30494-4_26 [4] Thomas Mueller Graf, Daniel Lemire "Xor Filters: Faster and Smaller Than Bloom and Cuckoo Filters" https://arxiv.org/abs/1912.08258 Helped-by: Derrick Stolee <dstolee@microsoft.com> Reviewed-by: Jakub Narębski <jnareb@gmail.com> Signed-off-by: Garima Singh <garima.singh@microsoft.com> Signed-off-by: Junio C Hamano <gitster@pobox.com>	5 years ago
Garima Singh	f52207a45c	bloom.c: add the murmur3 hash implementation In preparation for computing changed paths Bloom filters, implement the Murmur3 hash algorithm as described in [1]. It hashes the given data using the given seed and produces a uniformly distributed hash value. [1] https://en.wikipedia.org/wiki/MurmurHash#Algorithm Helped-by: Derrick Stolee <dstolee@microsoft.com> Helped-by: Szeder Gábor <szeder.dev@gmail.com> Reviewed-by: Jakub Narębski <jnareb@gmail.com> Signed-off-by: Garima Singh <garima.singh@microsoft.com> Signed-off-by: Junio C Hamano <gitster@pobox.com>	5 years ago

14 Commits (564a4fc8471b41fc05bda16e4bbb02a99b515cbf)