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copies-rust: add smarter approach for merging small mapping with large mapping...
copies-rust: add smarter approach for merging small mapping with large mapping The current approach (finding the smaller updated set) works great when the mapping have similar size, but do a lot of unnecessary work when one side is tinier than the other one. So we do better in theses cases. See inline documentation for details. It give a sizeable boost to many of out slower cases: Repo Case Source-Rev Dest-Rev # of revisions old time new time Difference Factor time per rev --------------------------------------------------------------------------------------------------------------------------------------------------------------- mozilla-try x00000_revs_x_added_0_copies 6a320851d377 1ebb79acd503 : 363753 revs, 18.123103 s, 5.693818 s, -12.429285 s, × 0.3142, 15 µs/rev mozilla-try x00000_revs_x_added_x_copies 5173c4b6f97c 95d83ee7242d : 362229 revs, 17.907312 s, 5.677655 s, -12.229657 s, × 0.3171, 15 µs/rev mozilla-try x00000_revs_x000_added_x_copies 9126823d0e9c ca82787bb23c : 359344 revs, 17.684797 s, 5.563370 s, -12.121427 s, × 0.3146, 15 µs/rev mozilla-try x00000_revs_x0000_added_x0000_copies 8d3fafa80d4b eb884023b810 : 192665 revs, 2.881471 s, 2.864099 s, -0.017372 s, × 0.9940, 14 µs/rev mozilla-try x00000_revs_x00000_added_x000_copies 9b2a99adc05e 8e29777b48e6 : 382065 revs, 63.148971 s, 59.498652 s, -3.650319 s, × 0.9422, 155 µs/rev mozilla-try x00000_revs_x00000_added_x000_copies 9b2a99adc05e 8e29777b48e6 : 382065 revs, 63.148971 s, 59.498652 s, -3.650319 s, × 0.9422, 155 µs/rev ideally, the im-rs object would have a `merge` method, but it does not (yet) Full timing comparison below (they are one pathological case than become even worse, for unclear reason). Repo Case Source-Rev Dest-Rev # of revisions old time new time Difference Factor time per rev --------------------------------------------------------------------------------------------------------------------------------------------------------------- mercurial x_revs_x_added_0_copies ad6b123de1c7 39cfcef4f463 : 1 revs, 0.000043 s, 0.000042 s, -0.000001 s, × 0.9767, 42 µs/rev mercurial x_revs_x_added_x_copies 2b1c78674230 0c1d10351869 : 6 revs, 0.000105 s, 0.000104 s, -0.000001 s, × 0.9905, 17 µs/rev mercurial x000_revs_x000_added_x_copies 81f8ff2a9bf2 dd3267698d84 : 1032 revs, 0.004895 s, 0.004913 s, +0.000018 s, × 1.0037, 4 µs/rev pypy x_revs_x_added_0_copies aed021ee8ae8 099ed31b181b : 9 revs, 0.000194 s, 0.000191 s, -0.000003 s, × 0.9845, 21 µs/rev pypy x_revs_x000_added_0_copies 4aa4e1f8e19a 359343b9ac0e : 1 revs, 0.000050 s, 0.000050 s, +0.000000 s, × 1.0000, 50 µs/rev pypy x_revs_x_added_x_copies ac52eb7bbbb0 72e022663155 : 7 revs, 0.000115 s, 0.000112 s, -0.000003 s, × 0.9739, 16 µs/rev pypy x_revs_x00_added_x_copies c3b14617fbd7 ace7255d9a26 : 1 revs, 0.000289 s, 0.000288 s, -0.000001 s, × 0.9965, 288 µs/rev pypy x_revs_x000_added_x000_copies df6f7a526b60 a83dc6a2d56f : 6 revs, 0.010513 s, 0.010411 s, -0.000102 s, × 0.9903, 1735 µs/rev pypy x000_revs_xx00_added_0_copies 89a76aede314 2f22446ff07e : 4785 revs, 0.051474 s, 0.052852 s, +0.001378 s, × 1.0268, 11 µs/rev pypy x000_revs_x000_added_x_copies 8a3b5bfd266e 2c68e87c3efe : 6780 revs, 0.088086 s, 0.092828 s, +0.004742 s, × 1.0538, 13 µs/rev pypy x000_revs_x000_added_x000_copies 89a76aede314 7b3dda341c84 : 5441 revs, 0.062176 s, 0.063269 s, +0.001093 s, × 1.0176, 11 µs/rev pypy x0000_revs_x_added_0_copies d1defd0dc478 c9cb1334cc78 : 43645 revs, 0.720950 s, 0.711975 s, -0.008975 s, × 0.9876, 16 µs/rev pypy x0000_revs_xx000_added_0_copies bf2c629d0071 4ffed77c095c : 2 revs, 0.012897 s, 0.012771 s, -0.000126 s, × 0.9902, 6385 µs/rev pypy x0000_revs_xx000_added_x000_copies 08ea3258278e d9fa043f30c0 : 11316 revs, 0.121524 s, 0.124505 s, +0.002981 s, × 1.0245, 11 µs/rev netbeans x_revs_x_added_0_copies fb0955ffcbcd a01e9239f9e7 : 2 revs, 0.000082 s, 0.000082 s, +0.000000 s, × 1.0000, 41 µs/rev netbeans x_revs_x000_added_0_copies 6f360122949f 20eb231cc7d0 : 2 revs, 0.000109 s, 0.000111 s, +0.000002 s, × 1.0183, 55 µs/rev netbeans x_revs_x_added_x_copies 1ada3faf6fb6 5a39d12eecf4 : 3 revs, 0.000175 s, 0.000171 s, -0.000004 s, × 0.9771, 57 µs/rev netbeans x_revs_x00_added_x_copies 35be93ba1e2c 9eec5e90c05f : 9 revs, 0.000719 s, 0.000708 s, -0.000011 s, × 0.9847, 78 µs/rev netbeans x000_revs_xx00_added_0_copies eac3045b4fdd 51d4ae7f1290 : 1421 revs, 0.010426 s, 0.010608 s, +0.000182 s, × 1.0175, 7 µs/rev netbeans x000_revs_x000_added_x_copies e2063d266acd 6081d72689dc : 1533 revs, 0.015712 s, 0.015635 s, -0.000077 s, × 0.9951, 10 µs/rev netbeans x000_revs_x000_added_x000_copies ff453e9fee32 411350406ec2 : 5750 revs, 0.077353 s, 0.072072 s, -0.005281 s, × 0.9317, 12 µs/rev netbeans x0000_revs_xx000_added_x000_copies 588c2d1ced70 1aad62e59ddd : 66949 revs, 0.673930 s, 0.682732 s, +0.008802 s, × 1.0131, 10 µs/rev mozilla-central x_revs_x_added_0_copies 3697f962bb7b 7015fcdd43a2 : 2 revs, 0.000089 s, 0.000090 s, +0.000001 s, × 1.0112, 45 µs/rev mozilla-central x_revs_x000_added_0_copies dd390860c6c9 40d0c5bed75d : 8 revs, 0.000212 s, 0.000210 s, -0.000002 s, × 0.9906, 26 µs/rev mozilla-central x_revs_x_added_x_copies 8d198483ae3b 14207ffc2b2f : 9 revs, 0.000183 s, 0.000182 s, -0.000001 s, × 0.9945, 20 µs/rev mozilla-central x_revs_x00_added_x_copies 98cbc58cc6bc 446a150332c3 : 7 revs, 0.000595 s, 0.000594 s, -0.000001 s, × 0.9983, 84 µs/rev mozilla-central x_revs_x000_added_x000_copies 3c684b4b8f68 0a5e72d1b479 : 3 revs, 0.003117 s, 0.003102 s, -0.000015 s, × 0.9952, 1034 µs/rev mozilla-central x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 0.060197 s, 0.060234 s, +0.000037 s, × 1.0006, 10039 µs/rev mozilla-central x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.006379 s, 0.006300 s, -0.000079 s, × 0.9876, 3 µs/rev mozilla-central x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 41 revs, 0.005008 s, 0.004817 s, -0.000191 s, × 0.9619, 117 µs/rev mozilla-central x000_revs_x000_added_x000_copies 7c97034feb78 4407bd0c6330 : 7839 revs, 0.065123 s, 0.065451 s, +0.000328 s, × 1.0050, 8 µs/rev mozilla-central x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 615 revs, 0.026404 s, 0.026282 s, -0.000122 s, × 0.9954, 42 µs/rev mozilla-central x0000_revs_xx000_added_x000_copies f78c615a656c 96a38b690156 : 30263 revs, 0.203456 s, 0.206873 s, +0.003417 s, × 1.0168, 6 µs/rev mozilla-central x00000_revs_x0000_added_x0000_copies 6832ae71433c 4c222a1d9a00 : 153721 revs, 1.929809 s, 1.935918 s, +0.006109 s, × 1.0032, 12 µs/rev mozilla-central x00000_revs_x00000_added_x000_copies 76caed42cf7c 1daa622bbe42 : 204976 revs, 2.825064 s, 2.827320 s, +0.002256 s, × 1.0008, 13 µs/rev mozilla-try x_revs_x_added_0_copies aaf6dde0deb8 9790f499805a : 2 revs, 0.000857 s, 0.000842 s, -0.000015 s, × 0.9825, 421 µs/rev mozilla-try x_revs_x000_added_0_copies d8d0222927b4 5bb8ce8c7450 : 2 revs, 0.000870 s, 0.000870 s, +0.000000 s, × 1.0000, 435 µs/rev mozilla-try x_revs_x_added_x_copies 092fcca11bdb 936255a0384a : 4 revs, 0.000161 s, 0.000165 s, +0.000004 s, × 1.0248, 41 µs/rev mozilla-try x_revs_x00_added_x_copies b53d2fadbdb5 017afae788ec : 2 revs, 0.001147 s, 0.001145 s, -0.000002 s, × 0.9983, 572 µs/rev mozilla-try x_revs_x000_added_x000_copies 20408ad61ce5 6f0ee96e21ad : 1 revs, 0.026640 s, 0.026500 s, -0.000140 s, × 0.9947, 26500 µs/rev mozilla-try x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 0.059849 s, 0.059407 s, -0.000442 s, × 0.9926, 9901 µs/rev mozilla-try x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.006326 s, 0.006325 s, -0.000001 s, × 0.9998, 3 µs/rev mozilla-try x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 41 revs, 0.005188 s, 0.005171 s, -0.000017 s, × 0.9967, 126 µs/rev mozilla-try x000_revs_x000_added_x000_copies 1346fd0130e4 4c65cbdabc1f : 6657 revs, 0.067633 s, 0.066837 s, -0.000796 s, × 0.9882, 10 µs/rev mozilla-try x0000_revs_x_added_0_copies 63519bfd42ee a36a2a865d92 : 40314 revs, 0.306969 s, 0.314252 s, +0.007283 s, × 1.0237, 7 µs/rev mozilla-try x0000_revs_x_added_x_copies 9fe69ff0762d bcabf2a78927 : 38690 revs, 0.293370 s, 0.304160 s, +0.010790 s, × 1.0368, 7 µs/rev mozilla-try x0000_revs_xx000_added_x_copies 156f6e2674f2 4d0f2c178e66 : 8598 revs, 0.087159 s, 0.089223 s, +0.002064 s, × 1.0237, 10 µs/rev mozilla-try x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 615 revs, 0.027251 s, 0.026711 s, -0.000540 s, × 0.9802, 43 µs/rev mozilla-try x0000_revs_xx000_added_x000_copies 89294cd501d9 7ccb2fc7ccb5 : 97052 revs, 3.010011 s, 3.243010 s, +0.232999 s, × 1.0774, 33 µs/rev mozilla-try x0000_revs_x0000_added_x0000_copies e928c65095ed e951f4ad123a : 52031 revs, 0.753434 s, 0.756500 s, +0.003066 s, × 1.0041, 14 µs/rev mozilla-try x00000_revs_x_added_0_copies 6a320851d377 1ebb79acd503 : 363753 revs, 18.123103 s, 5.693818 s, -12.429285 s, × 0.3142, 15 µs/rev mozilla-try x00000_revs_x00000_added_0_copies dc8a3ca7010e d16fde900c9c : 34414 revs, 0.583206 s, 0.590904 s, +0.007698 s, × 1.0132, 17 µs/rev mozilla-try x00000_revs_x_added_x_copies 5173c4b6f97c 95d83ee7242d : 362229 revs, 17.907312 s, 5.677655 s, -12.229657 s, × 0.3171, 15 µs/rev mozilla-try x00000_revs_x000_added_x_copies 9126823d0e9c ca82787bb23c : 359344 revs, 17.684797 s, 5.563370 s, -12.121427 s, × 0.3146, 15 µs/rev mozilla-try x00000_revs_x0000_added_x0000_copies 8d3fafa80d4b eb884023b810 : 192665 revs, 2.881471 s, 2.864099 s, -0.017372 s, × 0.9940, 14 µs/rev mozilla-try x00000_revs_x00000_added_x0000_copies 1b661134e2ca 1ae03d022d6d : 228985 revs, 101.062002 s, 113.297287 s, +12.235285 s, × 1.1211, 494 µs/rev mozilla-try x00000_revs_x00000_added_x000_copies 9b2a99adc05e 8e29777b48e6 : 382065 revs, 63.148971 s, 59.498652 s, -3.650319 s, × 0.9422, 155 µs/rev Differential Revision: https://phab.mercurial-scm.org/D9491

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hgperf
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Gregory Szorc
global: use python3 in shebangs...
r46434 #!/usr/bin/env python3
FUJIWARA Katsunori
contrib: add "hgperf" command to measure performance of commands easily...
r20839 #
# hgperf - measure performance of Mercurial commands
#
# Copyright 2014 Matt Mackall <mpm@selenic.com>
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.
'''measure performance of Mercurial commands
Using ``hgperf`` instead of ``hg`` measures performance of the target
Mercurial command. For example, the execution below measures
performance of :hg:`heads --topo`::
$ hgperf heads --topo
All command output via ``ui`` is suppressed, and just measurement
result is displayed: see also "perf" extension in "contrib".
Costs of processing before dispatching to the command function like
below are not measured::
- parsing command line (e.g. option validity check)
- reading configuration files in
But ``pre-`` and ``post-`` hook invocation for the target command is
measured, even though these are invoked before or after dispatching to
the command function, because these may be required to repeat
execution of the target command correctly.
'''
import os
import sys
libdir = '@LIBDIR@'
if libdir != '@' 'LIBDIR' '@':
if not os.path.isabs(libdir):
Gregory Szorc
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r44058 libdir = os.path.join(
os.path.dirname(os.path.realpath(__file__)), libdir
)
FUJIWARA Katsunori
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r20839 libdir = os.path.abspath(libdir)
sys.path.insert(0, libdir)
# enable importing on demand to reduce startup time
try:
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r44058 from mercurial import demandimport
demandimport.enable()
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r20839 except ImportError:
import sys
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r44058
sys.stderr.write(
"abort: couldn't find mercurial libraries in [%s]\n"
% ' '.join(sys.path)
)
FUJIWARA Katsunori
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r20839 sys.stderr.write("(check your install and PYTHONPATH)\n")
sys.exit(-1)
Augie Fackler
hgperf: update to conform with import style checks
r33893 from mercurial import (
dispatch,
util,
)
FUJIWARA Katsunori
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r20839
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r44058
FUJIWARA Katsunori
contrib: add "hgperf" command to measure performance of commands easily...
r20839 def timer(func, title=None):
results = []
Augie Fackler
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r33893 begin = util.timer()
FUJIWARA Katsunori
contrib: add "hgperf" command to measure performance of commands easily...
r20839 count = 0
while True:
ostart = os.times()
Augie Fackler
hgperf: update to conform with import style checks
r33893 cstart = util.timer()
FUJIWARA Katsunori
contrib: add "hgperf" command to measure performance of commands easily...
r20839 r = func()
Augie Fackler
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r33893 cstop = util.timer()
FUJIWARA Katsunori
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r20839 ostop = os.times()
count += 1
a, b = ostart, ostop
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r44058 results.append((cstop - cstart, b[0] - a[0], b[1] - a[1]))
FUJIWARA Katsunori
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r20839 if cstop - begin > 3 and count >= 100:
break
if cstop - begin > 10 and count >= 3:
break
if title:
sys.stderr.write("! %s\n" % title)
if r:
sys.stderr.write("! result: %s\n" % r)
m = min(results)
Gregory Szorc
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r44058 sys.stderr.write(
"! wall %f comb %f user %f sys %f (best of %d)\n"
% (m[0], m[1] + m[2], m[1], m[2], count)
)
FUJIWARA Katsunori
contrib: add "hgperf" command to measure performance of commands easily...
r20839
Augie Fackler
hgperf: update to conform with import style checks
r33893 orgruncommand = dispatch.runcommand
FUJIWARA Katsunori
contrib: add "hgperf" command to measure performance of commands easily...
r20839
Gregory Szorc
black: blacken scripts...
r44058
FUJIWARA Katsunori
contrib: add "hgperf" command to measure performance of commands easily...
r20839 def runcommand(lui, repo, cmd, fullargs, ui, options, d, cmdpats, cmdoptions):
ui.pushbuffer()
lui.pushbuffer()
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r44058 timer(
lambda: orgruncommand(
lui, repo, cmd, fullargs, ui, options, d, cmdpats, cmdoptions
)
)
FUJIWARA Katsunori
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r20839 ui.popbuffer()
lui.popbuffer()
Gregory Szorc
black: blacken scripts...
r44058
Augie Fackler
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r33893 dispatch.runcommand = runcommand
FUJIWARA Katsunori
contrib: add "hgperf" command to measure performance of commands easily...
r20839
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r33893 dispatch.run()