Mercurial > hg
view contrib/perf-utils/subsetmaker.py @ 49491:c6a1beba27e9
bisect: avoid copying ancestor list for non-merge commits
During a bisection, hg needs to compute a list of all ancestors for every
candidate commit. This is accomplished via a bottom-up traversal of the set of
candidates, during which each revision's ancestor list is populated using the
ancestor list of its parent(s). Previously, this involved copying the entire
list, which could be very long in if the bisection range was large.
To help improve this, we can observe that each candidate commit is visited
exactly once, at which point its ancestor list is copied into its children's
lists and then dropped. In the case of non-merge commits, a commit's ancestor
list consists exactly of its parent's list plus itself. This means that we can
trivially reuse the parent's existing list for one of its non-merge children,
which avoids copying entirely if that commit is the parent's only child. This
makes bisections over linear ranges of commits much faster.
During some informal testing in the large publicly-available `mozilla-central`
repository, this noticeably sped up bisections over large ranges of history:
Setup:
$ cd mozilla-central
$ hg bisect --reset
$ hg bisect --good 0
$ hg log -r tip -T '{rev}\n'
628417
Test:
$ time hg bisect --bad tip --noupdate
Before:
real 3m35.927s
user 3m35.553s
sys 0m0.319s
After:
real 1m41.142s
user 1m40.810s
sys 0m0.285s
author | Arun Kulshreshtha <akulshreshtha@janestreet.com> |
---|---|
date | Tue, 30 Aug 2022 15:29:55 -0400 |
parents | 3f6ddb1c193b |
children |
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"""revset to select sample of repository Hopefully this is useful to create interesting discovery cases. """ import collections import random from mercurial.i18n import _ from mercurial import ( registrar, revset, revsetlang, smartset, ) import sortedcontainers SortedSet = sortedcontainers.SortedSet revsetpredicate = registrar.revsetpredicate() @revsetpredicate(b'subsetspec("<spec>")') def subsetmarkerspec(repo, subset, x): """use a shorthand spec as used by search-discovery-case Supported format are: - "scratch-count-seed": not scratch(all(), count, "seed") - "randomantichain-seed": ::randomantichain(all(), "seed") - "rev-REV": "::REV" """ args = revsetlang.getargs( x, 0, 1, _(b'subsetspec("spec") required an argument') ) spec = revsetlang.getstring(args[0], _(b"spec should be a string")) case = spec.split(b'-') t = case[0] if t == b'scratch': spec_revset = b'not scratch(all(), %s, "%s")' % (case[1], case[2]) elif t == b'randomantichain': spec_revset = b'::randomantichain(all(), "%s")' % case[1] elif t == b'rev': spec_revset = b'::%d' % case[1] else: assert False, spec selected = repo.revs(spec_revset) return selected & subset @revsetpredicate(b'scratch(REVS, <count>, [seed])') def scratch(repo, subset, x): """randomly remove <count> revision from the repository top This subset is created by recursively picking changeset starting from the heads. It can be summarized using the following algorithm:: selected = set() for i in range(<count>): unselected = repo.revs("not <selected>") candidates = repo.revs("heads(<unselected>)") pick = random.choice(candidates) selected.add(pick) """ m = _(b"scratch expects revisions, count argument and an optional seed") args = revsetlang.getargs(x, 2, 3, m) if len(args) == 2: x, n = args rand = random elif len(args) == 3: x, n, seed = args seed = revsetlang.getinteger(seed, _(b"seed should be a number")) rand = random.Random(seed) else: assert False n = revsetlang.getinteger(n, _(b"scratch expects a number")) selected = set() heads = SortedSet() children_count = collections.defaultdict(lambda: 0) parents = repo.changelog._uncheckedparentrevs baseset = revset.getset(repo, smartset.fullreposet(repo), x) baseset.sort() for r in baseset: heads.add(r) p1, p2 = parents(r) if p1 >= 0: heads.discard(p1) children_count[p1] += 1 if p2 >= 0: heads.discard(p2) children_count[p2] += 1 for h in heads: assert children_count[h] == 0 selected = set() for x in range(n): if not heads: break pick = rand.choice(heads) heads.remove(pick) assert pick not in selected selected.add(pick) p1, p2 = parents(pick) if p1 in children_count: assert p1 in children_count children_count[p1] -= 1 assert children_count[p1] >= 0 if children_count[p1] == 0: assert p1 not in selected, (r, p1) heads.add(p1) if p2 in children_count: assert p2 in children_count children_count[p2] -= 1 assert children_count[p2] >= 0 if children_count[p2] == 0: assert p2 not in selected, (r, p2) heads.add(p2) return smartset.baseset(selected) & subset @revsetpredicate(b'randomantichain(REVS, [seed])') def antichain(repo, subset, x): """Pick a random anti-chain in the repository A antichain is a set of changeset where there isn't any element that is either a descendant or ancestors of any other element in the set. In other word, all the elements are independant. It can be summarized with the following algorithm:: selected = set() unselected = repo.revs('all()') while unselected: pick = random.choice(unselected) selected.add(pick) unselected -= repo.revs('::<pick> + <pick>::') """ args = revsetlang.getargs( x, 1, 2, _(b"randomantichain expects revisions and an optional seed") ) if len(args) == 1: (x,) = args rand = random elif len(args) == 2: x, seed = args seed = revsetlang.getinteger(seed, _(b"seed should be a number")) rand = random.Random(seed) else: assert False cl = repo.changelog # We already have cheap access to the parent mapping. # However, we need to build a mapping of the children mapping parents = repo.changelog._uncheckedparentrevs children_map = collections.defaultdict(list) for r in cl: p1, p2 = parents(r) if p1 >= 0: children_map[p1].append(r) if p2 >= 0: children_map[p2].append(r) children = children_map.__getitem__ selected = set() undecided = SortedSet(cl) while undecided: # while there is "undecided content", we pick a random changeset X # and we remove anything in `::X + X::` from undecided content pick = rand.choice(undecided) selected.add(pick) undecided.remove(pick) ancestors = set(p for p in parents(pick) if p in undecided) descendants = set(c for c in children(pick) if c in undecided) while ancestors: current = ancestors.pop() undecided.remove(current) for p in parents(current): if p in undecided: ancestors.add(p) while descendants: current = descendants.pop() undecided.remove(current) for p in children(current): if p in undecided: ancestors.add(p) return smartset.baseset(selected) & subset