6754159767
The low-level reference transactions used to update references are currently completely opaque to the user. While certainly desirable in most usecases, there are some which might want to hook into the transaction to observe all queued reference updates as well as observing the abortion or commit of a prepared transaction. One such usecase would be to have a set of replicas of a given Git repository, where we perform Git operations on all of the repositories at once and expect the outcome to be the same in all of them. While there exist hooks already for a certain subset of Git commands that could be used to implement a voting mechanism for this, many others currently don't have any mechanism for this. The above scenario is the motivation for the new "reference-transaction" hook that reaches directly into Git's reference transaction mechanism. The hook receives as parameter the current state the transaction was moved to ("prepared", "committed" or "aborted") and gets via its standard input all queued reference updates. While the exit code gets ignored in the "committed" and "aborted" states, a non-zero exit code in the "prepared" state will cause the transaction to be aborted prematurely. Given the usecase described above, a voting mechanism can now be implemented via this hook: as soon as it gets called, it will take all of stdin and use it to cast a vote to a central service. When all replicas of the repository agree, the hook will exit with zero, otherwise it will abort the transaction by returning non-zero. The most important upside is that this will catch _all_ commands writing references at once, allowing to implement strong consistency for reference updates via a single mechanism. In order to test the impact on the case where we don't have any "reference-transaction" hook installed in the repository, this commit introduce two new performance tests for git-update-refs(1). Run against an empty repository, it produces the following results: Test origin/master HEAD -------------------------------------------------------------------- 1400.2: update-ref 2.70(2.10+0.71) 2.71(2.10+0.73) +0.4% 1400.3: update-ref --stdin 0.21(0.09+0.11) 0.21(0.07+0.14) +0.0% The performance test p1400.2 creates, updates and deletes a branch a thousand times, thus averaging runtime of git-update-refs over 3000 invocations. p1400.3 instead calls `git-update-refs --stdin` three times and queues a thousand creations, updates and deletes respectively. As expected, p1400.3 consistently shows no noticeable impact, as for each batch of updates there's a single call to access(3P) for the negative hook lookup. On the other hand, for p1400.2, one can see an impact caused by this patchset. But doing five runs of the performance tests where each one was run with GIT_PERF_REPEAT_COUNT=10, the overhead ranged from -1.5% to +1.1%. These inconsistent performance numbers can be explained by the overhead of spawning 3000 processes. This shows that the overhead of assembling the hook path and executing access(3P) once to check if it's there is mostly outweighed by the operating system's overhead. Signed-off-by: Patrick Steinhardt <ps@pks.im> Signed-off-by: Junio C Hamano <gitster@pobox.com> |
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.. | ||
repos | ||
.gitignore | ||
aggregate.perl | ||
bisect_regression | ||
bisect_run_script | ||
lib-pack.sh | ||
Makefile | ||
min_time.perl | ||
p0000-perf-lib-sanity.sh | ||
p0001-rev-list.sh | ||
p0002-read-cache.sh | ||
p0003-delta-base-cache.sh | ||
p0004-lazy-init-name-hash.sh | ||
p0005-status.sh | ||
p0006-read-tree-checkout.sh | ||
p0007-write-cache.sh | ||
p0071-sort.sh | ||
p0100-globbing.sh | ||
p1400-update-ref.sh | ||
p1450-fsck.sh | ||
p1451-fsck-skip-list.sh | ||
p3400-rebase.sh | ||
p3404-rebase-interactive.sh | ||
p4000-diff-algorithms.sh | ||
p4001-diff-no-index.sh | ||
p4205-log-pretty-formats.sh | ||
p4211-line-log.sh | ||
p4220-log-grep-engines.sh | ||
p4221-log-grep-engines-fixed.sh | ||
p5302-pack-index.sh | ||
p5303-many-packs.sh | ||
p5304-prune.sh | ||
p5310-pack-bitmaps.sh | ||
p5311-pack-bitmaps-fetch.sh | ||
p5550-fetch-tags.sh | ||
p5551-fetch-rescan.sh | ||
p5600-partial-clone.sh | ||
p5601-clone-reference.sh | ||
p7000-filter-branch.sh | ||
p7300-clean.sh | ||
p7519-fsmonitor.sh | ||
p7810-grep.sh | ||
p7820-grep-engines.sh | ||
p7821-grep-engines-fixed.sh | ||
p9300-fast-import-export.sh | ||
perf-lib.sh | ||
README | ||
run |
Git performance tests ===================== This directory holds performance testing scripts for git tools. The first part of this document describes the various ways in which you can run them. When fixing the tools or adding enhancements, you are strongly encouraged to add tests in this directory to cover what you are trying to fix or enhance. The later part of this short document describes how your test scripts should be organized. Running Tests ------------- The easiest way to run tests is to say "make". This runs all the tests on the current git repository. === Running 2 tests in this tree === [...] Test this tree --------------------------------------------------------- 0001.1: rev-list --all 0.54(0.51+0.02) 0001.2: rev-list --all --objects 6.14(5.99+0.11) 7810.1: grep worktree, cheap regex 0.16(0.16+0.35) 7810.2: grep worktree, expensive regex 7.90(29.75+0.37) 7810.3: grep --cached, cheap regex 3.07(3.02+0.25) 7810.4: grep --cached, expensive regex 9.39(30.57+0.24) You can compare multiple repositories and even git revisions with the 'run' script: $ ./run . origin/next /path/to/git-tree p0001-rev-list.sh where . stands for the current git tree. The full invocation is ./run [<revision|directory>...] [--] [<test-script>...] A '.' argument is implied if you do not pass any other revisions/directories. You can also manually test this or another git build tree, and then call the aggregation script to summarize the results: $ ./p0001-rev-list.sh [...] $ ./run /path/to/other/git -- ./p0001-rev-list.sh [...] $ ./aggregate.perl . /path/to/other/git ./p0001-rev-list.sh aggregate.perl has the same invocation as 'run', it just does not run anything beforehand. You can set the following variables (also in your config.mak): GIT_PERF_REPEAT_COUNT Number of times a test should be repeated for best-of-N measurements. Defaults to 3. GIT_PERF_MAKE_OPTS Options to use when automatically building a git tree for performance testing. E.g., -j6 would be useful. Passed directly to make as "make $GIT_PERF_MAKE_OPTS". GIT_PERF_MAKE_COMMAND An arbitrary command that'll be run in place of the make command, if set the GIT_PERF_MAKE_OPTS variable is ignored. Useful in cases where source tree changes might require issuing a different make command to different revisions. This can be (ab)used to monkeypatch or otherwise change the tree about to be built. Note that the build directory can be re-used for subsequent runs so the make command might get executed multiple times on the same tree, but don't count on any of that, that's an implementation detail that might change in the future. GIT_PERF_REPO GIT_PERF_LARGE_REPO Repositories to copy for the performance tests. The normal repo should be at least git.git size. The large repo should probably be about linux.git size for optimal results. Both default to the git.git you are running from. You can also pass the options taken by ordinary git tests; the most useful one is: --root=<directory>:: Create "trash" directories used to store all temporary data during testing under <directory>, instead of the t/ directory. Using this option with a RAM-based filesystem (such as tmpfs) can massively speed up the test suite. Naming Tests ------------ The performance test files are named as: pNNNN-commandname-details.sh where N is a decimal digit. The same conventions for choosing NNNN as for normal tests apply. Writing Tests ------------- The perf script starts much like a normal test script, except it sources perf-lib.sh: #!/bin/sh # # Copyright (c) 2005 Junio C Hamano # test_description='xxx performance test' . ./perf-lib.sh After that you will want to use some of the following: test_perf_fresh_repo # sets up an empty repository test_perf_default_repo # sets up a "normal" repository test_perf_large_repo # sets up a "large" repository test_perf_default_repo sub # ditto, in a subdir "sub" test_checkout_worktree # if you need the worktree too At least one of the first two is required! You can use test_expect_success as usual. In both test_expect_success and in test_perf, running "git" points to the version that is being perf-tested. The $MODERN_GIT variable points to the git wrapper for the currently checked-out version (i.e., the one that matches the t/perf scripts you are running). This is useful if your setup uses commands that only work with newer versions of git than what you might want to test (but obviously your new commands must still create a state that can be used by the older version of git you are testing). For actual performance tests, use test_perf 'descriptive string' ' command1 && command2 ' test_perf spawns a subshell, for lack of better options. This means that * you _must_ export all variables that you need in the subshell * you _must_ flag all variables that you want to persist from the subshell with 'test_export': test_perf 'descriptive string' ' foo=$(git rev-parse HEAD) && test_export foo ' The so-exported variables are automatically marked for export in the shell executing the perf test. For your convenience, test_export is the same as export in the main shell. This feature relies on a bit of magic using 'set' and 'source'. While we have tried to make sure that it can cope with embedded whitespace and other special characters, it will not work with multi-line data. Rather than tracking the performance by run-time as `test_perf` does, you may also track output size by using `test_size`. The stdout of the function should be a single numeric value, which will be captured and shown in the aggregated output. For example: test_perf 'time foo' ' ./foo >foo.out ' test_size 'output size' wc -c <foo.out ' might produce output like: Test origin HEAD ------------------------------------------------------------- 1234.1 time foo 0.37(0.79+0.02) 0.26(0.51+0.02) -29.7% 1234.2 output size 4.3M 3.6M -14.7% The item being measured (and its units) is up to the test; the context and the test title should make it clear to the user whether bigger or smaller numbers are better. Unlike test_perf, the test code will only be run once, since output sizes tend to be more deterministic than timings.