##// END OF EJS Templates
match: match explicit file using a set...
match: match explicit file using a set The matcher as all the logic to do quick comparison against explicit patterns, however the pattern matcher was shadowing the code using that set and used the compiled regex pattern in all cases, which is quite slow. We restore the usage of the set based matching to boost performance. Building the regexp is still consuming a large amount of time (actually, the majority of the time), which is still silly. Maybe using re2 would help that, but this is a quest for another adventure. Another path to improve this is to have a pattern type dedicated to match the exact path to a file only (not a directory). This pattern could use the set matching only and be skipped in the regex all together. Benchmarks ========== In the following benchmark we are comparing the `hg cat` and `hg files` run time when matching against all files in the repository. They are run: - without the rust extensions - with the standard python engine (so without re2) Performance improvement in this series -------------------------------------- ###### hg files ############################################################### ### mercurial-2018-08-01-zstd-sparse-revlog ### sorted base-changeset: 0.230092 seconds prev-changeset: 0.230069 seconds this-changeset: 0.211425 seconds (-8.36%) ### mercurial-2018-08-01-zstd-sparse-revlog ### shuffled base-changeset: 0.234235 seconds prev-changeset: 0.231165 seconds (-1.38%) this-changeset: 0.212300 seconds (-9.43%) ### pypy-2018-08-01-zstd-sparse-revlog ### sorted base-changeset: 0.613567 seconds prev-changeset: 0.616799 seconds this-changeset: 0.510852 seconds (-16.82%) ### pypy-2018-08-01-zstd-sparse-revlog ### shuffled base-changeset: 0.801880 seconds prev-changeset: 0.616393 seconds (-23.22%) this-changeset: 0.511903 seconds (-36.23%) ### netbeans-2018-08-01-zstd-sparse-revlog ### sorted base-changeset: 21.541828 seconds prev-changeset: 21.586773 seconds this-changeset: 13.648347 seconds (-36.76%) ### netbeans-2018-08-01-zstd-sparse-revlog ### shuffled base-changeset: 172.759857 seconds prev-changeset: 21.908197 seconds (-87.32%) this-changeset: 13.945110 seconds (-91.93%) ### mozilla-central-2018-08-01-zstd-sparse-revlog ### sorted base-changeset: 62.474221 seconds prev-changeset: 61.279490 seconds (-1.22%) this-changeset: 29.529469 seconds (-52.40%) ### mozilla-central-2018-08-01-zstd-sparse-revlog ### shuffled base-changeset: 1364.180218 seconds prev-changeset: 62.473549 seconds (-95.40%) this-changeset: 30.625249 seconds (-97.75%) ###### hg cat ################################################################# ### mercurial-2018-08-01-zstd-sparse-revlog ### sorted base-changeset: 0.764407 seconds prev-changeset: 0.763883 seconds this-changeset: 0.737326 seconds (-3.68%) ### mercurial-2018-08-01-zstd-sparse-revlog ### shuffled base-changeset: 0.768924 seconds prev-changeset: 0.765848 seconds this-changeset: 0.174d0b seconds (-4.44%) ### pypy-2018-08-01-zstd-sparse-revlog ### sorted base-changeset: 2.065220 seconds prev-changeset: 2.070498 seconds this-changeset: 1.939482 seconds (-6.08%) ### pypy-2018-08-01-zstd-sparse-revlog ### shuffled base-changeset: 2.276388 seconds prev-changeset: 2.069197 seconds (-9.15%) this-changeset: 1.931746 seconds (-15.19%) ### netbeans-2018-08-01-zstd-sparse-revlog ### sorted base-changeset: 40.967983 seconds prev-changeset: 41.392423 seconds this-changeset: 32.181681 seconds (-22.20%) ### netbeans-2018-08-01-zstd-sparse-revlog ### shuffled base-changeset: 216.388709 seconds prev-changeset: 41.648689 seconds (-80.88%) this-changeset: 32.580817 seconds (-85.04%) ### mozilla-central-2018-08-01-zstd-sparse-revlog ### sorted base-changeset: 105.228510 seconds prev-changeset: 103.315670 seconds (-1.23%) this-changeset: 69.416118 seconds (-33.64%) ### mozilla-central-2018-08-01-zstd-sparse-revlog ### shuffled base-changeset: 1448.722784 seconds prev-changeset: 104.369358 seconds (-92.80%) this-changeset: 70.554789 seconds (-95.13%) Different way to list the same data with this revision ------------------------------------------------------ ###### hg files ############################################################### ### mercurial-2018-08-01-zstd-sparse-revlog root: 0.119182 seconds glob: 0.120697 seconds (+1.27%) sorted: 0.211425 seconds (+77.40%) shuffled: 0.212300 seconds (+78.13%) ### pypy-2018-08-01-zstd-sparse-revlog root: 0.121986 seconds glob: 0.124822 seconds (+2.32%) sorted: 0.510852 seconds (+318.78%) shuffled: 0.511903 seconds (+319.64%) ### netbeans-2018-08-01-zstd-sparse-revlog root: 0.173984 seconds glob: 0.227203 seconds (+30.59%) sorted: 13.648347 seconds (+7744.59%) shuffled: 13.945110 seconds (+7915.16%) ### mozilla-central-2018-08-01-zstd-sparse-revlog root: 0.366463 seconds glob: 0.491030 seconds (+33.99%) sorted: 29.529469 seconds (+7957.96%) shuffled: 30.625249 seconds (+8256.97%) ###### hg cat ################################################################# ### mercurial-2018-08-01-zstd-sparse-revlog glob: 0.647471 seconds root: 0.643120 seconds shuffled: 0.174d0b seconds (+13.92%) sorted: 0.737326 seconds (+13.88%) ### mozilla-central-2018-08-01-zstd-sparse-revlog glob: 40.596983 seconds root: 40.129136 seconds shuffled: 70.554789 seconds (+73.79%) sorted: 69.416118 seconds (+70.99%) ### netbeans-2018-08-01-zstd-sparse-revlog glob: 18.777924 seconds root: 18.613905 seconds shuffled: 32.580817 seconds (+73.51%) sorted: 32.181681 seconds (+71.38%) ### pypy-2018-08-01-zstd-sparse-revlog glob: 1.555319 seconds root: 1.536534 seconds shuffled: 1.931746 seconds (+24.20%) sorted: 1.939482 seconds (+24.70%)

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pvec.py
227 lines | 5.9 KiB | text/x-python | PythonLexer
# pvec.py - probabilistic vector clocks for Mercurial
#
# Copyright 2012 Olivia Mackall <olivia@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.
'''
A "pvec" is a changeset property based on the theory of vector clocks
that can be compared to discover relatedness without consulting a
graph. This can be useful for tasks like determining how a
disconnected patch relates to a repository.
Currently a pvec consist of 448 bits, of which 24 are 'depth' and the
remainder are a bit vector. It is represented as a 70-character base85
string.
Construction:
- a root changeset has a depth of 0 and a bit vector based on its hash
- a normal commit has a changeset where depth is increased by one and
one bit vector bit is flipped based on its hash
- a merge changeset pvec is constructed by copying changes from one pvec into
the other to balance its depth
Properties:
- for linear changes, difference in depth is always <= hamming distance
- otherwise, changes are probably divergent
- when hamming distance is < 200, we can reliably detect when pvecs are near
Issues:
- hamming distance ceases to work over distances of ~ 200
- detecting divergence is less accurate when the common ancestor is very close
to either revision or total distance is high
- this could probably be improved by modeling the relation between
delta and hdist
Uses:
- a patch pvec can be used to locate the nearest available common ancestor for
resolving conflicts
- ordering of patches can be established without a DAG
- two head pvecs can be compared to determine whether push/pull/merge is needed
and approximately how many changesets are involved
- can be used to find a heuristic divergence measure between changesets on
different branches
'''
from .node import nullrev
from . import (
pycompat,
util,
)
_size = 448 # 70 chars b85-encoded
_bytes = _size // 8
_depthbits = 24
_depthbytes = _depthbits // 8
_vecbytes = _bytes - _depthbytes
_vecbits = _vecbytes * 8
_radius = (_vecbits - 30) // 2 # high probability vectors are related
def _bin(bs):
'''convert a bytestring to a long'''
v = 0
for b in bs:
v = v * 256 + ord(b)
return v
def _str(v, l):
# type: (int, int) -> bytes
bs = b""
for p in range(l):
bs = pycompat.bytechr(v & 255) + bs
v >>= 8
return bs
def _split(b):
'''depth and bitvec'''
return _bin(b[:_depthbytes]), _bin(b[_depthbytes:])
def _join(depth, bitvec):
return _str(depth, _depthbytes) + _str(bitvec, _vecbytes)
def _hweight(x):
c = 0
while x:
if x & 1:
c += 1
x >>= 1
return c
_htab = [_hweight(x) for x in range(256)]
def _hamming(a, b):
'''find the hamming distance between two longs'''
d = a ^ b
c = 0
while d:
c += _htab[d & 0xFF]
d >>= 8
return c
def _mergevec(x, y, c):
# Ideally, this function would be x ^ y ^ ancestor, but finding
# ancestors is a nuisance. So instead we find the minimal number
# of changes to balance the depth and hamming distance
d1, v1 = x
d2, v2 = y
if d1 < d2:
d1, d2, v1, v2 = d2, d1, v2, v1
hdist = _hamming(v1, v2)
ddist = d1 - d2
v = v1
m = v1 ^ v2 # mask of different bits
i = 1
if hdist > ddist:
# if delta = 10 and hdist = 100, then we need to go up 55 steps
# to the ancestor and down 45
changes = (hdist - ddist + 1) // 2
else:
# must make at least one change
changes = 1
depth = d1 + changes
# copy changes from v2
if m:
while changes:
if m & i:
v ^= i
changes -= 1
i <<= 1
else:
v = _flipbit(v, c)
return depth, v
def _flipbit(v, node):
# converting bit strings to longs is slow
bit = (hash(node) & 0xFFFFFFFF) % _vecbits
return v ^ (1 << bit)
def ctxpvec(ctx):
'''construct a pvec for ctx while filling in the cache'''
r = ctx.repo()
if not util.safehasattr(r, "_pveccache"):
r._pveccache = {}
pvc = r._pveccache
if ctx.rev() not in pvc:
cl = r.changelog
for n in range(ctx.rev() + 1):
if n not in pvc:
node = cl.node(n)
p1, p2 = cl.parentrevs(n)
if p1 == nullrev:
# start with a 'random' vector at root
pvc[n] = (0, _bin((node * 3)[:_vecbytes]))
elif p2 == nullrev:
d, v = pvc[p1]
pvc[n] = (d + 1, _flipbit(v, node))
else:
pvc[n] = _mergevec(pvc[p1], pvc[p2], node)
bs = _join(*pvc[ctx.rev()])
return pvec(util.b85encode(bs))
class pvec:
def __init__(self, hashorctx):
if isinstance(hashorctx, bytes):
self._bs = hashorctx
self._depth, self._vec = _split(util.b85decode(hashorctx))
else:
self._vec = ctxpvec(hashorctx)
def __str__(self):
return self._bs
def __eq__(self, b):
return self._vec == b._vec and self._depth == b._depth
def __lt__(self, b):
delta = b._depth - self._depth
if delta < 0:
return False # always correct
if _hamming(self._vec, b._vec) > delta:
return False
return True
def __gt__(self, b):
return b < self
def __or__(self, b):
delta = abs(b._depth - self._depth)
if _hamming(self._vec, b._vec) <= delta:
return False
return True
def __sub__(self, b):
if self | b:
raise ValueError(b"concurrent pvecs")
return self._depth - b._depth
def distance(self, b):
d = abs(b._depth - self._depth)
h = _hamming(self._vec, b._vec)
return max(d, h)
def near(self, b):
dist = abs(b.depth - self._depth)
if dist > _radius or _hamming(self._vec, b._vec) > _radius:
return False