Mercurial > hg
view mercurial/setdiscovery.py @ 37485:0b7475ea38cf
wireproto: port heads command to wire protocol v2
After much thought and consideration, wire protocol version 2's
commands will be defined in different functions from the existing
commands. This will make it easier to implement these commands
because it won't require shoehorning things like response formatting
and argument declaration into the same APIs.
For example, wire protocol version 1 requires that commands declare
a fixed and ordered list of argument names. It isn't really possible
to insert new arguments or have optional arguments without
breaking backwards compatibility. Wire protocol version 2, however,
uses CBOR maps for passing arguments. So arguments a) can be
optional b) can be added without BC c) can be strongly typed.
This commit starts our trek towards reimplementing the wire protocol
for version 2 with the heads command. It is pretty similar to the
existing heads command. One added feature is it can be told to
operate on only public phase changesets. This is useful for
making discovery faster when a repo has tens of thousands of
draft phase heads (such as Mozilla's "try" repository).
The HTTPv2 server-side protocol has had its `getargs()` implementation
updated to reflect that arguments are a map and not a list.
Differential Revision: https://phab.mercurial-scm.org/D3179
author | Gregory Szorc <gregory.szorc@gmail.com> |
---|---|
date | Wed, 28 Mar 2018 14:55:13 -0700 |
parents | 59802fa590db |
children | e1b32dc4646c |
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# setdiscovery.py - improved discovery of common nodeset for mercurial # # Copyright 2010 Benoit Boissinot <bboissin@gmail.com> # and Peter Arrenbrecht <peter@arrenbrecht.ch> # # This software may be used and distributed according to the terms of the # GNU General Public License version 2 or any later version. """ Algorithm works in the following way. You have two repository: local and remote. They both contains a DAG of changelists. The goal of the discovery protocol is to find one set of node *common*, the set of nodes shared by local and remote. One of the issue with the original protocol was latency, it could potentially require lots of roundtrips to discover that the local repo was a subset of remote (which is a very common case, you usually have few changes compared to upstream, while upstream probably had lots of development). The new protocol only requires one interface for the remote repo: `known()`, which given a set of changelists tells you if they are present in the DAG. The algorithm then works as follow: - We will be using three sets, `common`, `missing`, `unknown`. Originally all nodes are in `unknown`. - Take a sample from `unknown`, call `remote.known(sample)` - For each node that remote knows, move it and all its ancestors to `common` - For each node that remote doesn't know, move it and all its descendants to `missing` - Iterate until `unknown` is empty There are a couple optimizations, first is instead of starting with a random sample of missing, start by sending all heads, in the case where the local repo is a subset, you computed the answer in one round trip. Then you can do something similar to the bisecting strategy used when finding faulty changesets. Instead of random samples, you can try picking nodes that will maximize the number of nodes that will be classified with it (since all ancestors or descendants will be marked as well). """ from __future__ import absolute_import import collections import random from .i18n import _ from .node import ( nullid, nullrev, ) from . import ( dagutil, error, util, ) def _updatesample(dag, nodes, sample, quicksamplesize=0): """update an existing sample to match the expected size The sample is updated with nodes exponentially distant from each head of the <nodes> set. (H~1, H~2, H~4, H~8, etc). If a target size is specified, the sampling will stop once this size is reached. Otherwise sampling will happen until roots of the <nodes> set are reached. :dag: a dag object from dagutil :nodes: set of nodes we want to discover (if None, assume the whole dag) :sample: a sample to update :quicksamplesize: optional target size of the sample""" # if nodes is empty we scan the entire graph if nodes: heads = dag.headsetofconnecteds(nodes) else: heads = dag.heads() dist = {} visit = collections.deque(heads) seen = set() factor = 1 while visit: curr = visit.popleft() if curr in seen: continue d = dist.setdefault(curr, 1) if d > factor: factor *= 2 if d == factor: sample.add(curr) if quicksamplesize and (len(sample) >= quicksamplesize): return seen.add(curr) for p in dag.parents(curr): if not nodes or p in nodes: dist.setdefault(p, d + 1) visit.append(p) def _takequicksample(dag, nodes, size): """takes a quick sample of size <size> It is meant for initial sampling and focuses on querying heads and close ancestors of heads. :dag: a dag object :nodes: set of nodes to discover :size: the maximum size of the sample""" sample = dag.headsetofconnecteds(nodes) if len(sample) >= size: return _limitsample(sample, size) _updatesample(dag, None, sample, quicksamplesize=size) return sample def _takefullsample(dag, nodes, size): sample = dag.headsetofconnecteds(nodes) # update from heads _updatesample(dag, nodes, sample) # update from roots _updatesample(dag.inverse(), nodes, sample) assert sample sample = _limitsample(sample, size) if len(sample) < size: more = size - len(sample) sample.update(random.sample(list(nodes - sample), more)) return sample def _limitsample(sample, desiredlen): """return a random subset of sample of at most desiredlen item""" if len(sample) > desiredlen: sample = set(random.sample(sample, desiredlen)) return sample def findcommonheads(ui, local, remote, initialsamplesize=100, fullsamplesize=200, abortwhenunrelated=True, ancestorsof=None): '''Return a tuple (common, anyincoming, remoteheads) used to identify missing nodes from or in remote. ''' start = util.timer() roundtrips = 0 cl = local.changelog localsubset = None if ancestorsof is not None: rev = local.changelog.rev localsubset = [rev(n) for n in ancestorsof] dag = dagutil.revlogdag(cl, localsubset=localsubset) # early exit if we know all the specified remote heads already ui.debug("query 1; heads\n") roundtrips += 1 ownheads = dag.heads() sample = _limitsample(ownheads, initialsamplesize) # indices between sample and externalized version must match sample = list(sample) batch = remote.iterbatch() batch.heads() batch.known(dag.externalizeall(sample)) batch.submit() srvheadhashes, yesno = batch.results() if cl.tip() == nullid: if srvheadhashes != [nullid]: return [nullid], True, srvheadhashes return [nullid], False, [] # start actual discovery (we note this before the next "if" for # compatibility reasons) ui.status(_("searching for changes\n")) srvheads = dag.internalizeall(srvheadhashes, filterunknown=True) if len(srvheads) == len(srvheadhashes): ui.debug("all remote heads known locally\n") return (srvheadhashes, False, srvheadhashes,) if len(sample) == len(ownheads) and all(yesno): ui.note(_("all local heads known remotely\n")) ownheadhashes = dag.externalizeall(ownheads) return (ownheadhashes, True, srvheadhashes,) # full blown discovery # own nodes I know we both know # treat remote heads (and maybe own heads) as a first implicit sample # response common = cl.incrementalmissingrevs(srvheads) commoninsample = set(n for i, n in enumerate(sample) if yesno[i]) common.addbases(commoninsample) # own nodes where I don't know if remote knows them undecided = set(common.missingancestors(ownheads)) # own nodes I know remote lacks missing = set() full = False while undecided: if sample: missinginsample = [n for i, n in enumerate(sample) if not yesno[i]] missing.update(dag.descendantset(missinginsample, missing)) undecided.difference_update(missing) if not undecided: break if full or common.hasbases(): if full: ui.note(_("sampling from both directions\n")) else: ui.debug("taking initial sample\n") samplefunc = _takefullsample targetsize = fullsamplesize else: # use even cheaper initial sample ui.debug("taking quick initial sample\n") samplefunc = _takequicksample targetsize = initialsamplesize if len(undecided) < targetsize: sample = list(undecided) else: sample = samplefunc(dag, undecided, targetsize) roundtrips += 1 ui.progress(_('searching'), roundtrips, unit=_('queries')) ui.debug("query %i; still undecided: %i, sample size is: %i\n" % (roundtrips, len(undecided), len(sample))) # indices between sample and externalized version must match sample = list(sample) yesno = remote.known(dag.externalizeall(sample)) full = True if sample: commoninsample = set(n for i, n in enumerate(sample) if yesno[i]) common.addbases(commoninsample) common.removeancestorsfrom(undecided) # heads(common) == heads(common.bases) since common represents common.bases # and all its ancestors result = dag.headsetofconnecteds(common.bases) # common.bases can include nullrev, but our contract requires us to not # return any heads in that case, so discard that result.discard(nullrev) elapsed = util.timer() - start ui.progress(_('searching'), None) ui.debug("%d total queries in %.4fs\n" % (roundtrips, elapsed)) msg = ('found %d common and %d unknown server heads,' ' %d roundtrips in %.4fs\n') missing = set(result) - set(srvheads) ui.log('discovery', msg, len(result), len(missing), roundtrips, elapsed) if not result and srvheadhashes != [nullid]: if abortwhenunrelated: raise error.Abort(_("repository is unrelated")) else: ui.warn(_("warning: repository is unrelated\n")) return ({nullid}, True, srvheadhashes,) anyincoming = (srvheadhashes != [nullid]) return dag.externalizeall(result), anyincoming, srvheadhashes