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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, collections, 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 = collections.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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shortcutlocal determines whether we try use direct access to localrepo if
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remote is actually local.
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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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# compatibitity with pre-batch, but post-known remotes during 1.9 devel
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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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undecided = dag.nodeset() # own nodes where I don't know if remote knows them
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common = set() # own nodes I know we both know
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missing = set() # own nodes I know remote lacks
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# treat remote heads (and maybe own heads) as a first implicit sample 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
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