mercurial/setdiscovery.py
author Pierre-Yves David <pierre-yves.david@logilab.fr>
Wed, 17 Apr 2013 11:47:49 +0200
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child 20034 1e5b38a919dd
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obsolete: extract obsolescence marker pulling into a dedicated function Having a dedicated function will allow us to experiment with other exchange strategies in an extension. As we have no solid clues about how to do it right, being able to experiment is vital. Some transaction tricks are necessary for pull. But nothing too scary.
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# setdiscovery.py - improved discovery of common nodeset for mercurial
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#
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# Copyright 2010 Benoit Boissinot <bboissin@gmail.com>
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# and Peter Arrenbrecht <peter@arrenbrecht.ch>
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#
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# This software may be used and distributed according to the terms of the
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# GNU General Public License version 2 or any later version.
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from node import nullid
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from i18n import _
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import random, util, dagutil
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def _updatesample(dag, nodes, sample, always, quicksamplesize=0):
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    # if nodes is empty we scan the entire graph
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    if nodes:
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        heads = dag.headsetofconnecteds(nodes)
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    else:
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        heads = dag.heads()
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    dist = {}
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    visit = util.deque(heads)
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    seen = set()
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    factor = 1
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    while visit:
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        curr = visit.popleft()
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        if curr in seen:
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            continue
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        d = dist.setdefault(curr, 1)
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        if d > factor:
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            factor *= 2
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        if d == factor:
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            if curr not in always: # need this check for the early exit below
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                sample.add(curr)
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                if quicksamplesize and (len(sample) >= quicksamplesize):
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                    return
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        seen.add(curr)
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        for p in dag.parents(curr):
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            if not nodes or p in nodes:
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                dist.setdefault(p, d + 1)
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                visit.append(p)
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def _setupsample(dag, nodes, size):
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    if len(nodes) <= size:
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        return set(nodes), None, 0
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    always = dag.headsetofconnecteds(nodes)
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    desiredlen = size - len(always)
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    if desiredlen <= 0:
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        # This could be bad if there are very many heads, all unknown to the
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        # server. We're counting on long request support here.
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        return always, None, desiredlen
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    return always, set(), desiredlen
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def _takequicksample(dag, nodes, size, initial):
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    always, sample, desiredlen = _setupsample(dag, nodes, size)
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    if sample is None:
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        return always
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    if initial:
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        fromset = None
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    else:
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        fromset = nodes
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    _updatesample(dag, fromset, sample, always, quicksamplesize=desiredlen)
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    sample.update(always)
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    return sample
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def _takefullsample(dag, nodes, size):
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    always, sample, desiredlen = _setupsample(dag, nodes, size)
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    if sample is None:
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        return always
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    # update from heads
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    _updatesample(dag, nodes, sample, always)
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    # update from roots
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    _updatesample(dag.inverse(), nodes, sample, always)
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    assert sample
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    if len(sample) > desiredlen:
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        sample = set(random.sample(sample, desiredlen))
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    elif len(sample) < desiredlen:
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        more = desiredlen - len(sample)
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        sample.update(random.sample(list(nodes - sample - always), more))
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    sample.update(always)
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    return sample
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def findcommonheads(ui, local, remote,
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                    initialsamplesize=100,
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                    fullsamplesize=200,
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                    abortwhenunrelated=True):
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    '''Return a tuple (common, anyincoming, remoteheads) used to identify
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    missing nodes from or in remote.
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    '''
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    roundtrips = 0
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    cl = local.changelog
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    dag = dagutil.revlogdag(cl)
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    # early exit if we know all the specified remote heads already
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    ui.debug("query 1; heads\n")
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    roundtrips += 1
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    ownheads = dag.heads()
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    sample = ownheads
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    if remote.local():
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        # stopgap until we have a proper localpeer that supports batch()
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        srvheadhashes = remote.heads()
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        yesno = remote.known(dag.externalizeall(sample))
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    elif remote.capable('batch'):
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        batch = remote.batch()
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        srvheadhashesref = batch.heads()
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        yesnoref = batch.known(dag.externalizeall(sample))
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        batch.submit()
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        srvheadhashes = srvheadhashesref.value
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        yesno = yesnoref.value
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    else:
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        # compatibility with pre-batch, but post-known remotes during 1.9
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        # development
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        srvheadhashes = remote.heads()
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        sample = []
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    if cl.tip() == nullid:
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        if srvheadhashes != [nullid]:
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            return [nullid], True, srvheadhashes
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        return [nullid], False, []
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    # start actual discovery (we note this before the next "if" for
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    # compatibility reasons)
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    ui.status(_("searching for changes\n"))
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    srvheads = dag.internalizeall(srvheadhashes, filterunknown=True)
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    if len(srvheads) == len(srvheadhashes):
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        ui.debug("all remote heads known locally\n")
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        return (srvheadhashes, False, srvheadhashes,)
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    if sample and util.all(yesno):
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        ui.note(_("all local heads known remotely\n"))
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        ownheadhashes = dag.externalizeall(ownheads)
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        return (ownheadhashes, True, srvheadhashes,)
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    # full blown discovery
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    # own nodes where I don't know if remote knows them
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    undecided = dag.nodeset()
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    # own nodes I know we both know
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    common = set()
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    # own nodes I know remote lacks
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    missing = set()
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    # treat remote heads (and maybe own heads) as a first implicit sample
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    # response
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    common.update(dag.ancestorset(srvheads))
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    undecided.difference_update(common)
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    full = False
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    while undecided:
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        if sample:
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            commoninsample = set(n for i, n in enumerate(sample) if yesno[i])
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            common.update(dag.ancestorset(commoninsample, common))
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            missinginsample = [n for i, n in enumerate(sample) if not yesno[i]]
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            missing.update(dag.descendantset(missinginsample, missing))
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            undecided.difference_update(missing)
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            undecided.difference_update(common)
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        if not undecided:
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            break
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        if full:
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            ui.note(_("sampling from both directions\n"))
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            sample = _takefullsample(dag, undecided, size=fullsamplesize)
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        elif common:
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            # use cheapish initial sample
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            ui.debug("taking initial sample\n")
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            sample = _takefullsample(dag, undecided, size=fullsamplesize)
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        else:
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            # use even cheaper initial sample
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            ui.debug("taking quick initial sample\n")
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            sample = _takequicksample(dag, undecided, size=initialsamplesize,
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                                      initial=True)
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        roundtrips += 1
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        ui.progress(_('searching'), roundtrips, unit=_('queries'))
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        ui.debug("query %i; still undecided: %i, sample size is: %i\n"
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                 % (roundtrips, len(undecided), len(sample)))
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        # indices between sample and externalized version must match
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        sample = list(sample)
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        yesno = remote.known(dag.externalizeall(sample))
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        full = True
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    result = dag.headsetofconnecteds(common)
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    ui.progress(_('searching'), None)
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    ui.debug("%d total queries\n" % roundtrips)
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    if not result and srvheadhashes != [nullid]:
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        if abortwhenunrelated:
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            raise util.Abort(_("repository is unrelated"))
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        else:
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            ui.warn(_("warning: repository is unrelated\n"))
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        return (set([nullid]), True, srvheadhashes,)
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    anyincoming = (srvheadhashes != [nullid])
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    return dag.externalizeall(result), anyincoming, srvheadhashes