##// END OF EJS Templates
sidedatacopies: only fetch information once for merge...
sidedatacopies: only fetch information once for merge Before this change, merge would result in reading the data from revlog twice. With this change, we keep the information in memory until we encounter the other parent. When looking at pypy, I see about 1/3 of the changesets with copy information being merge. Not doing duplicated fetch for them provide a significant speedup. revision: large amount; added files: large amount; rename small amount; c3b14617fbd7 9ba6ab77fd29 before: ! wall 0.767042 comb 0.760000 user 0.750000 sys 0.010000 (median of 11) after: ! wall 0.671162 comb 0.670000 user 0.650000 sys 0.020000 (median of 13) revision: large amount; added files: small amount; rename small amount; c3b14617fbd7 f650a9b140d2 before: ! wall 1.170169 comb 1.170000 user 1.130000 sys 0.040000 (median of 10) after: ! wall 1.030596 comb 1.040000 user 1.010000 sys 0.030000 (median of 10) revision: large amount; added files: large amount; rename large amount; 08ea3258278e d9fa043f30c0 before: ! wall 0.209846 comb 0.200000 user 0.200000 sys 0.000000 (median of 46) after: ! wall 0.170981 comb 0.170000 user 0.170000 sys 0.000000 (median of 56) revision: small amount; added files: large amount; rename large amount; df6f7a526b60 a83dc6a2d56f before: ! wall 0.013248 comb 0.010000 user 0.010000 sys 0.000000 (median of 223) after: ! wall 0.013295 comb 0.020000 user 0.020000 sys 0.000000 (median of 222) revision: small amount; added files: large amount; rename small amount; 4aa4e1f8e19a 169138063d63 before: ! wall 0.001672 comb 0.000000 user 0.000000 sys 0.000000 (median of 1000) after: ! wall 0.001666 comb 0.000000 user 0.000000 sys 0.000000 (median of 1000) revision: small amount; added files: small amount; rename small amount; 4bc173b045a6 964879152e2e before: ! wall 0.000119 comb 0.000000 user 0.000000 sys 0.000000 (median of 8010) after: ! wall 0.000119 comb 0.000000 user 0.000000 sys 0.000000 (median of 8007) revision: medium amount; added files: large amount; rename medium amount; c95f1ced15f2 2c68e87c3efe before: ! wall 0.168599 comb 0.160000 user 0.160000 sys 0.000000 (median of 58) after: ! wall 0.133316 comb 0.140000 user 0.140000 sys 0.000000 (median of 73) revision: medium amount; added files: medium amount; rename small amount; d343da0c55a8 d7746d32bf9d before: ! wall 0.036052 comb 0.030000 user 0.030000 sys 0.000000 (median of 100) after: ! wall 0.032558 comb 0.030000 user 0.030000 sys 0.000000 (median of 100) Differential Revision: https://phab.mercurial-scm.org/D7127

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__init__.py
126 lines | 3.9 KiB | text/x-python | PythonLexer
# __init__.py - asv benchmark suite
#
# Copyright 2016 Logilab SA <contact@logilab.fr>
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.
# "historical portability" policy of contrib/benchmarks:
#
# We have to make this code work correctly with current mercurial stable branch
# and if possible with reasonable cost with early Mercurial versions.
'''ASV (https://asv.readthedocs.io) benchmark suite
Benchmark are parameterized against reference repositories found in the
directory pointed by the REPOS_DIR environment variable.
Invocation example:
$ export REPOS_DIR=~/hgperf/repos
# run suite on given revision
$ asv --config contrib/asv.conf.json run REV
# run suite on new changesets found in stable and default branch
$ asv --config contrib/asv.conf.json run NEW
# display a comparative result table of benchmark results between two given
# revisions
$ asv --config contrib/asv.conf.json compare REV1 REV2
# compute regression detection and generate ASV static website
$ asv --config contrib/asv.conf.json publish
# serve the static website
$ asv --config contrib/asv.conf.json preview
'''
from __future__ import absolute_import
import functools
import os
import re
from mercurial import (
extensions,
hg,
ui as uimod,
util,
)
basedir = os.path.abspath(
os.path.join(os.path.dirname(__file__), os.path.pardir, os.path.pardir)
)
reposdir = os.environ['REPOS_DIR']
reposnames = [
name
for name in os.listdir(reposdir)
if os.path.isdir(os.path.join(reposdir, name, ".hg"))
]
if not reposnames:
raise ValueError("No repositories found in $REPO_DIR")
outputre = re.compile(
(
r'! wall (\d+.\d+) comb \d+.\d+ user \d+.\d+ sys '
r'\d+.\d+ \(best of \d+\)'
)
)
def runperfcommand(reponame, command, *args, **kwargs):
os.environ["HGRCPATH"] = os.environ.get("ASVHGRCPATH", "")
# for "historical portability"
# ui.load() has been available since d83ca85
if util.safehasattr(uimod.ui, "load"):
ui = uimod.ui.load()
else:
ui = uimod.ui()
repo = hg.repository(ui, os.path.join(reposdir, reponame))
perfext = extensions.load(
ui, 'perfext', os.path.join(basedir, 'contrib', 'perf.py')
)
cmd = getattr(perfext, command)
ui.pushbuffer()
cmd(ui, repo, *args, **kwargs)
output = ui.popbuffer()
match = outputre.search(output)
if not match:
raise ValueError("Invalid output {0}".format(output))
return float(match.group(1))
def perfbench(repos=reposnames, name=None, params=None):
"""decorator to declare ASV benchmark based on contrib/perf.py extension
An ASV benchmark is a python function with the given attributes:
__name__: should start with track_, time_ or mem_ to be collected by ASV
params and param_name: parameter matrix to display multiple graphs on the
same page.
pretty_name: If defined it's displayed in web-ui instead of __name__
(useful for revsets)
the module name is prepended to the benchmark name and displayed as
"category" in webui.
Benchmarks are automatically parameterized with repositories found in the
REPOS_DIR environment variable.
`params` is the param matrix in the form of a list of tuple
(param_name, [value0, value1])
For example [(x, [a, b]), (y, [c, d])] declare benchmarks for
(a, c), (a, d), (b, c) and (b, d).
"""
params = list(params or [])
params.insert(0, ("repo", repos))
def decorator(func):
@functools.wraps(func)
def wrapped(repo, *args):
def perf(command, *a, **kw):
return runperfcommand(repo, command, *a, **kw)
return func(perf, *args)
wrapped.params = [p[1] for p in params]
wrapped.param_names = [p[0] for p in params]
wrapped.pretty_name = name
return wrapped
return decorator