##// END OF EJS Templates
util: lower water mark when removing nodes after cost limit reached...
util: lower water mark when removing nodes after cost limit reached See the inline comment for the reasoning here. This is a pretty common strategy for garbage collectors, other cache-like primtives. The performance impact is substantial: $ hg perflrucachedict --size 4 --gets 1000000 --sets 1000000 --mixed 1000000 --costlimit 100 ! inserts w/ cost limit ! wall 1.659181 comb 1.650000 user 1.650000 sys 0.000000 (best of 7) ! wall 1.722122 comb 1.720000 user 1.720000 sys 0.000000 (best of 6) ! mixed w/ cost limit ! wall 1.139955 comb 1.140000 user 1.140000 sys 0.000000 (best of 9) ! wall 1.182513 comb 1.180000 user 1.180000 sys 0.000000 (best of 9) $ hg perflrucachedict --size 1000 --gets 1000000 --sets 1000000 --mixed 1000000 --costlimit 10000 ! inserts ! wall 0.679546 comb 0.680000 user 0.680000 sys 0.000000 (best of 15) ! sets ! wall 0.825147 comb 0.830000 user 0.830000 sys 0.000000 (best of 13) ! inserts w/ cost limit ! wall 25.105273 comb 25.080000 user 25.080000 sys 0.000000 (best of 3) ! wall 1.724397 comb 1.720000 user 1.720000 sys 0.000000 (best of 6) ! mixed ! wall 0.807096 comb 0.810000 user 0.810000 sys 0.000000 (best of 13) ! mixed w/ cost limit ! wall 12.104470 comb 12.070000 user 12.070000 sys 0.000000 (best of 3) ! wall 1.190563 comb 1.190000 user 1.190000 sys 0.000000 (best of 9) $ hg perflrucachedict --size 1000 --gets 1000000 --sets 1000000 --mixed 1000000 --costlimit 10000 --mixedgetfreq 90 ! inserts ! wall 0.711177 comb 0.710000 user 0.710000 sys 0.000000 (best of 14) ! sets ! wall 0.846992 comb 0.850000 user 0.850000 sys 0.000000 (best of 12) ! inserts w/ cost limit ! wall 25.963028 comb 25.960000 user 25.960000 sys 0.000000 (best of 3) ! wall 2.184311 comb 2.180000 user 2.180000 sys 0.000000 (best of 5) ! mixed ! wall 0.728256 comb 0.730000 user 0.730000 sys 0.000000 (best of 14) ! mixed w/ cost limit ! wall 3.174256 comb 3.170000 user 3.170000 sys 0.000000 (best of 4) ! wall 0.773186 comb 0.770000 user 0.770000 sys 0.000000 (best of 13) $ hg perflrucachedict --size 100000 --gets 1000000 --sets 1000000 --mixed 1000000 --mixedgetfreq 90 --costlimit 5000000 ! gets ! wall 1.191368 comb 1.190000 user 1.190000 sys 0.000000 (best of 9) ! wall 1.195304 comb 1.190000 user 1.190000 sys 0.000000 (best of 9) ! inserts ! wall 0.950995 comb 0.950000 user 0.950000 sys 0.000000 (best of 11) ! inserts w/ cost limit ! wall 1.589732 comb 1.590000 user 1.590000 sys 0.000000 (best of 7) ! sets ! wall 1.094941 comb 1.100000 user 1.090000 sys 0.010000 (best of 9) ! mixed ! wall 0.936420 comb 0.940000 user 0.930000 sys 0.010000 (best of 10) ! mixed w/ cost limit ! wall 0.882780 comb 0.870000 user 0.870000 sys 0.000000 (best of 11) This puts us ~2x slower than caches without cost accounting. And for read-heavy workloads (the prime use cases for caches), performance is nearly identical. In the worst case (pure write workloads with cost accounting enabled), we're looking at ~1.5us per insert on large caches. That seems "fast enough." Differential Revision: https://phab.mercurial-scm.org/D4505

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narrowspec.py
223 lines | 7.8 KiB | text/x-python | PythonLexer
# narrowspec.py - methods for working with a narrow view of a repository
#
# Copyright 2017 Google, Inc.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.
from __future__ import absolute_import
import errno
from .i18n import _
from . import (
error,
match as matchmod,
repository,
sparse,
util,
)
FILENAME = 'narrowspec'
# Pattern prefixes that are allowed in narrow patterns. This list MUST
# only contain patterns that are fast and safe to evaluate. Keep in mind
# that patterns are supplied by clients and executed on remote servers
# as part of wire protocol commands.
VALID_PREFIXES = (
b'path:',
b'rootfilesin:',
)
def normalizesplitpattern(kind, pat):
"""Returns the normalized version of a pattern and kind.
Returns a tuple with the normalized kind and normalized pattern.
"""
pat = pat.rstrip('/')
_validatepattern(pat)
return kind, pat
def _numlines(s):
"""Returns the number of lines in s, including ending empty lines."""
# We use splitlines because it is Unicode-friendly and thus Python 3
# compatible. However, it does not count empty lines at the end, so trick
# it by adding a character at the end.
return len((s + 'x').splitlines())
def _validatepattern(pat):
"""Validates the pattern and aborts if it is invalid.
Patterns are stored in the narrowspec as newline-separated
POSIX-style bytestring paths. There's no escaping.
"""
# We use newlines as separators in the narrowspec file, so don't allow them
# in patterns.
if _numlines(pat) > 1:
raise error.Abort(_('newlines are not allowed in narrowspec paths'))
components = pat.split('/')
if '.' in components or '..' in components:
raise error.Abort(_('"." and ".." are not allowed in narrowspec paths'))
def normalizepattern(pattern, defaultkind='path'):
"""Returns the normalized version of a text-format pattern.
If the pattern has no kind, the default will be added.
"""
kind, pat = matchmod._patsplit(pattern, defaultkind)
return '%s:%s' % normalizesplitpattern(kind, pat)
def parsepatterns(pats):
"""Parses an iterable of patterns into a typed pattern set.
Patterns are assumed to be ``path:`` if no prefix is present.
For safety and performance reasons, only some prefixes are allowed.
See ``validatepatterns()``.
This function should be used on patterns that come from the user to
normalize and validate them to the internal data structure used for
representing patterns.
"""
res = {normalizepattern(orig) for orig in pats}
validatepatterns(res)
return res
def validatepatterns(pats):
"""Validate that patterns are in the expected data structure and format.
And that is a set of normalized patterns beginning with ``path:`` or
``rootfilesin:``.
This function should be used to validate internal data structures
and patterns that are loaded from sources that use the internal,
prefixed pattern representation (but can't necessarily be fully trusted).
"""
if not isinstance(pats, set):
raise error.ProgrammingError('narrow patterns should be a set; '
'got %r' % pats)
for pat in pats:
if not pat.startswith(VALID_PREFIXES):
# Use a Mercurial exception because this can happen due to user
# bugs (e.g. manually updating spec file).
raise error.Abort(_('invalid prefix on narrow pattern: %s') % pat,
hint=_('narrow patterns must begin with one of '
'the following: %s') %
', '.join(VALID_PREFIXES))
def format(includes, excludes):
output = '[include]\n'
for i in sorted(includes - excludes):
output += i + '\n'
output += '[exclude]\n'
for e in sorted(excludes):
output += e + '\n'
return output
def match(root, include=None, exclude=None):
if not include:
# Passing empty include and empty exclude to matchmod.match()
# gives a matcher that matches everything, so explicitly use
# the nevermatcher.
return matchmod.never(root, '')
return matchmod.match(root, '', [], include=include or [],
exclude=exclude or [])
def load(repo):
try:
spec = repo.svfs.read(FILENAME)
except IOError as e:
# Treat "narrowspec does not exist" the same as "narrowspec file exists
# and is empty".
if e.errno == errno.ENOENT:
return set(), set()
raise
# maybe we should care about the profiles returned too
includepats, excludepats, profiles = sparse.parseconfig(repo.ui, spec,
'narrow')
if profiles:
raise error.Abort(_("including other spec files using '%include' is not"
" supported in narrowspec"))
validatepatterns(includepats)
validatepatterns(excludepats)
return includepats, excludepats
def save(repo, includepats, excludepats):
validatepatterns(includepats)
validatepatterns(excludepats)
spec = format(includepats, excludepats)
repo.svfs.write(FILENAME, spec)
def savebackup(repo, backupname):
if repository.NARROW_REQUIREMENT not in repo.requirements:
return
vfs = repo.vfs
vfs.tryunlink(backupname)
util.copyfile(repo.svfs.join(FILENAME), vfs.join(backupname), hardlink=True)
def restorebackup(repo, backupname):
if repository.NARROW_REQUIREMENT not in repo.requirements:
return
util.rename(repo.vfs.join(backupname), repo.svfs.join(FILENAME))
def clearbackup(repo, backupname):
if repository.NARROW_REQUIREMENT not in repo.requirements:
return
repo.vfs.unlink(backupname)
def restrictpatterns(req_includes, req_excludes, repo_includes, repo_excludes):
r""" Restricts the patterns according to repo settings,
results in a logical AND operation
:param req_includes: requested includes
:param req_excludes: requested excludes
:param repo_includes: repo includes
:param repo_excludes: repo excludes
:return: include patterns, exclude patterns, and invalid include patterns.
>>> restrictpatterns({'f1','f2'}, {}, ['f1'], [])
(set(['f1']), {}, [])
>>> restrictpatterns({'f1'}, {}, ['f1','f2'], [])
(set(['f1']), {}, [])
>>> restrictpatterns({'f1/fc1', 'f3/fc3'}, {}, ['f1','f2'], [])
(set(['f1/fc1']), {}, [])
>>> restrictpatterns({'f1_fc1'}, {}, ['f1','f2'], [])
([], set(['path:.']), [])
>>> restrictpatterns({'f1/../f2/fc2'}, {}, ['f1','f2'], [])
(set(['f2/fc2']), {}, [])
>>> restrictpatterns({'f1/../f3/fc3'}, {}, ['f1','f2'], [])
([], set(['path:.']), [])
>>> restrictpatterns({'f1/$non_exitent_var'}, {}, ['f1','f2'], [])
(set(['f1/$non_exitent_var']), {}, [])
"""
res_excludes = set(req_excludes)
res_excludes.update(repo_excludes)
invalid_includes = []
if not req_includes:
res_includes = set(repo_includes)
elif 'path:.' not in repo_includes:
res_includes = []
for req_include in req_includes:
req_include = util.expandpath(util.normpath(req_include))
if req_include in repo_includes:
res_includes.append(req_include)
continue
valid = False
for repo_include in repo_includes:
if req_include.startswith(repo_include + '/'):
valid = True
res_includes.append(req_include)
break
if not valid:
invalid_includes.append(req_include)
if len(res_includes) == 0:
res_excludes = {'path:.'}
else:
res_includes = set(res_includes)
else:
res_includes = set(req_includes)
return res_includes, res_excludes, invalid_includes