##// END OF EJS Templates
compression: introduce a `storage.revlog.zlib.level` configuration...
compression: introduce a `storage.revlog.zlib.level` configuration This option control the zlib compression level used when compression revlog chunk. This is also a good excuse to pave the way for a similar configuration option for the zstd compression engine. Having a dedicated option for each compression algorithm is useful because they don't support the same range of values. Using a higher zlib compression impact CPU consumption at compression time, but does not directly affected decompression time. However dealing with small compressed chunk can directly help decompression and indirectly help other revlog logic. I ran some basic test on repositories using different level. I am using the mercurial, pypy, netbeans and mozilla-central clone from our benchmark suite. All tested repository use sparse-revlog and got all their delta recomputed. The different compression level has a small effect on the repository size (about 10% variation in the total range). My quick analysis is that revlog mostly store small delta, that are not affected by the compression level much. So the variation probably mostly comes from better compression of the snapshots revisions, and snapshot revision only represent a small portion of the repository content. I also made some basic timings measurements. The "read" timings are gathered using simple run of `hg perfrevlogrevisions`, the "write" timings using `hg perfrevlogwrite` (restricted to the last 5000 revisions for netbeans and mozilla central). The timings are gathered on a generic machine, (not one of our performance locked machine), so small variation might not be meaningful. However large trend remains relevant. Keep in mind that these numbers are not pure compression/decompression time. They also involve the full revlog logic. In particular the difference in chunk size has an impact on the delta chain structure, affecting performance when writing or reading them. On read/write performance, the compression level has a bigger impact. Counter-intuitively, the higher compression levels improve "write" performance for the large repositories in our tested setting. Maybe because the last 5000 delta chain end up having a very different shape in this specific spot? Or maybe because of a more general trend of better delta chains thanks to the smaller chunk and snapshot. This series does not intend to change the default compression level. However, these result call for a deeper analysis of this performance difference in the future. Full data ========= repo level .hg/store size 00manifest.d read write ---------------------------------------------------------------- mercurial 1 49,402,813 5,963,475 0.170159 53.250304 mercurial 6 47,197,397 5,875,730 0.182820 56.264320 mercurial 9 47,121,596 5,849,781 0.189219 56.293612 pypy 1 370,830,572 28,462,425 2.679217 460.721984 pypy 6 340,112,317 27,648,747 2.768691 467.537158 pypy 9 338,360,736 27,639,003 2.763495 476.589918 netbeans 1 1,281,847,810 165,495,457 122.477027 520.560316 netbeans 6 1,205,284,353 159,161,207 139.876147 715.930400 netbeans 9 1,197,135,671 155,034,586 141.620281 678.297064 mozilla 1 2,775,497,186 298,527,987 147.867662 751.263721 mozilla 6 2,596,856,420 286,597,671 170.572118 987.056093 mozilla 9 2,587,542,494 287,018,264 163.622338 739.803002

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highlight.py
97 lines | 3.0 KiB | text/x-python | PythonLexer
# highlight.py - highlight extension implementation file
#
# Copyright 2007-2009 Adam Hupp <adam@hupp.org> and others
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.
#
# The original module was split in an interface and an implementation
# file to defer pygments loading and speedup extension setup.
from __future__ import absolute_import
from mercurial import demandimport
demandimport.IGNORES.update(['pkgutil', 'pkg_resources', '__main__'])
from mercurial import (
encoding,
)
from mercurial.utils import (
stringutil,
)
with demandimport.deactivated():
import pygments
import pygments.formatters
import pygments.lexers
import pygments.plugin
import pygments.util
for unused in pygments.plugin.find_plugin_lexers():
pass
highlight = pygments.highlight
ClassNotFound = pygments.util.ClassNotFound
guess_lexer = pygments.lexers.guess_lexer
guess_lexer_for_filename = pygments.lexers.guess_lexer_for_filename
TextLexer = pygments.lexers.TextLexer
HtmlFormatter = pygments.formatters.HtmlFormatter
SYNTAX_CSS = ('\n<link rel="stylesheet" href="{url}highlightcss" '
'type="text/css" />')
def pygmentize(field, fctx, style, tmpl, guessfilenameonly=False):
# append a <link ...> to the syntax highlighting css
tmpl.load('header')
old_header = tmpl.cache['header']
if SYNTAX_CSS not in old_header:
new_header = old_header + SYNTAX_CSS
tmpl.cache['header'] = new_header
text = fctx.data()
if stringutil.binary(text):
return
# str.splitlines() != unicode.splitlines() because "reasons"
for c in "\x0c\x1c\x1d\x1e":
if c in text:
text = text.replace(c, '')
# Pygments is best used with Unicode strings:
# <http://pygments.org/docs/unicode/>
text = text.decode(encoding.encoding, 'replace')
# To get multi-line strings right, we can't format line-by-line
try:
lexer = guess_lexer_for_filename(fctx.path(), text[:1024],
stripnl=False)
except (ClassNotFound, ValueError):
# guess_lexer will return a lexer if *any* lexer matches. There is
# no way to specify a minimum match score. This can give a high rate of
# false positives on files with an unknown filename pattern.
if guessfilenameonly:
return
try:
lexer = guess_lexer(text[:1024], stripnl=False)
except (ClassNotFound, ValueError):
# Don't highlight unknown files
return
# Don't highlight text files
if isinstance(lexer, TextLexer):
return
formatter = HtmlFormatter(nowrap=True, style=style)
colorized = highlight(text, lexer, formatter)
coloriter = (s.encode(encoding.encoding, 'replace')
for s in colorized.splitlines())
tmpl._filters['colorize'] = lambda x: next(coloriter)
oldl = tmpl.cache[field]
newl = oldl.replace('line|escape', 'line|colorize')
tmpl.cache[field] = newl