2012-02-17 10:25:09 +00:00
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Git performance tests
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=====================
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This directory holds performance testing scripts for git tools. The
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first part of this document describes the various ways in which you
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can run them.
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When fixing the tools or adding enhancements, you are strongly
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encouraged to add tests in this directory to cover what you are
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trying to fix or enhance. The later part of this short document
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describes how your test scripts should be organized.
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Running Tests
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-------------
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The easiest way to run tests is to say "make". This runs all
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the tests on the current git repository.
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=== Running 2 tests in this tree ===
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[...]
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Test this tree
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---------------------------------------------------------
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0001.1: rev-list --all 0.54(0.51+0.02)
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0001.2: rev-list --all --objects 6.14(5.99+0.11)
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7810.1: grep worktree, cheap regex 0.16(0.16+0.35)
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7810.2: grep worktree, expensive regex 7.90(29.75+0.37)
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7810.3: grep --cached, cheap regex 3.07(3.02+0.25)
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7810.4: grep --cached, expensive regex 9.39(30.57+0.24)
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You can compare multiple repositories and even git revisions with the
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'run' script:
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$ ./run . origin/next /path/to/git-tree p0001-rev-list.sh
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where . stands for the current git tree. The full invocation is
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./run [<revision|directory>...] [--] [<test-script>...]
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A '.' argument is implied if you do not pass any other
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revisions/directories.
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You can also manually test this or another git build tree, and then
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call the aggregation script to summarize the results:
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$ ./p0001-rev-list.sh
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[...]
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2019-05-07 10:54:29 +00:00
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$ ./run /path/to/other/git -- ./p0001-rev-list.sh
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2012-02-17 10:25:09 +00:00
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[...]
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$ ./aggregate.perl . /path/to/other/git ./p0001-rev-list.sh
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aggregate.perl has the same invocation as 'run', it just does not run
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anything beforehand.
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You can set the following variables (also in your config.mak):
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GIT_PERF_REPEAT_COUNT
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Number of times a test should be repeated for best-of-N
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2013-03-09 15:29:25 +00:00
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measurements. Defaults to 3.
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2012-02-17 10:25:09 +00:00
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GIT_PERF_MAKE_OPTS
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Options to use when automatically building a git tree for
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2017-05-20 21:42:18 +00:00
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performance testing. E.g., -j6 would be useful. Passed
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directly to make as "make $GIT_PERF_MAKE_OPTS".
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GIT_PERF_MAKE_COMMAND
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An arbitrary command that'll be run in place of the make
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command, if set the GIT_PERF_MAKE_OPTS variable is
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ignored. Useful in cases where source tree changes might
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require issuing a different make command to different
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revisions.
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This can be (ab)used to monkeypatch or otherwise change the
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tree about to be built. Note that the build directory can be
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re-used for subsequent runs so the make command might get
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executed multiple times on the same tree, but don't count on
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any of that, that's an implementation detail that might change
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in the future.
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2012-02-17 10:25:09 +00:00
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GIT_PERF_REPO
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GIT_PERF_LARGE_REPO
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Repositories to copy for the performance tests. The normal
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repo should be at least git.git size. The large repo should
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2013-06-22 14:46:27 +00:00
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probably be about linux.git size for optimal results.
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2012-02-17 10:25:09 +00:00
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Both default to the git.git you are running from.
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You can also pass the options taken by ordinary git tests; the most
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useful one is:
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--root=<directory>::
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Create "trash" directories used to store all temporary data during
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testing under <directory>, instead of the t/ directory.
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Using this option with a RAM-based filesystem (such as tmpfs)
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can massively speed up the test suite.
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Naming Tests
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------------
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The performance test files are named as:
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pNNNN-commandname-details.sh
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where N is a decimal digit. The same conventions for choosing NNNN as
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for normal tests apply.
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Writing Tests
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-------------
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The perf script starts much like a normal test script, except it
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sources perf-lib.sh:
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#!/bin/sh
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#
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# Copyright (c) 2005 Junio C Hamano
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#
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test_description='xxx performance test'
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. ./perf-lib.sh
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After that you will want to use some of the following:
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2017-05-11 09:41:07 +00:00
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test_perf_fresh_repo # sets up an empty repository
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2012-02-17 10:25:09 +00:00
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test_perf_default_repo # sets up a "normal" repository
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test_perf_large_repo # sets up a "large" repository
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test_perf_default_repo sub # ditto, in a subdir "sub"
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test_checkout_worktree # if you need the worktree too
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At least one of the first two is required!
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2016-06-22 19:40:13 +00:00
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You can use test_expect_success as usual. In both test_expect_success
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and in test_perf, running "git" points to the version that is being
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perf-tested. The $MODERN_GIT variable points to the git wrapper for the
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currently checked-out version (i.e., the one that matches the t/perf
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scripts you are running). This is useful if your setup uses commands
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that only work with newer versions of git than what you might want to
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test (but obviously your new commands must still create a state that can
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be used by the older version of git you are testing).
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For actual performance tests, use
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2012-02-17 10:25:09 +00:00
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test_perf 'descriptive string' '
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command1 &&
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command2
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'
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test_perf spawns a subshell, for lack of better options. This means
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that
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* you _must_ export all variables that you need in the subshell
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* you _must_ flag all variables that you want to persist from the
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subshell with 'test_export':
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test_perf 'descriptive string' '
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foo=$(git rev-parse HEAD) &&
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test_export foo
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'
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The so-exported variables are automatically marked for export in the
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shell executing the perf test. For your convenience, test_export is
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the same as export in the main shell.
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This feature relies on a bit of magic using 'set' and 'source'.
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While we have tried to make sure that it can cope with embedded
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whitespace and other special characters, it will not work with
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multi-line data.
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2018-08-17 20:56:37 +00:00
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Rather than tracking the performance by run-time as `test_perf` does, you
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may also track output size by using `test_size`. The stdout of the
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function should be a single numeric value, which will be captured and
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shown in the aggregated output. For example:
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test_perf 'time foo' '
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./foo >foo.out
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'
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test_size 'output size'
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wc -c <foo.out
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'
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might produce output like:
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Test origin HEAD
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-------------------------------------------------------------
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1234.1 time foo 0.37(0.79+0.02) 0.26(0.51+0.02) -29.7%
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1234.2 output size 4.3M 3.6M -14.7%
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The item being measured (and its units) is up to the test; the context
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and the test title should make it clear to the user whether bigger or
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smaller numbers are better. Unlike test_perf, the test code will only be
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run once, since output sizes tend to be more deterministic than timings.
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