Mercurial > hg
view mercurial/setdiscovery.py @ 21424:d13b4ecdb680
test: split test-largefile.t in multiple file
The `test-largefiles.t` unified test is significantly longer (about 30%) than
any other tests in the mercurial test suite. As a result, its is alway the last
test my test runner is waiting for at the end of a run.
In practice, this means that `test-largefile.t` is wasting half a minute of my
life every times I'm running the mercurial test suites. This probably mean more
a few cumulated day by now.
I've finally decided to split it up in multiple smaller tests to bring it back in
reasonable length.
This changeset extracts independent test cases in two files. One dedicated to
wire protocole testing, and another one dedicated to all other tests that could
be independently extracted.
No test case were haltered in the making of this changeset.
Various timing available below. All timing have been done on a with 90 jobs on a
64 cores machine. Similar result are shown on firefly (20 jobs on 12 core).
General timing of the whole run
--------------------------------
We see a 25% real time improvement for no significant cpu time impact.
Before split:
real 2m1.149s
user 58m4.662s
sys 11m28.563s
After split:
real 1m31.977s
user 57m45.993s
sys 11m33.634s
Last test to finish (using run-test.py --time)
----------------------------------------------
test-largefile.t is now finishing at the same time than other slow tests.
Before split:
Time Test
119.280 test-largefiles.t
93.995 test-mq.t
89.897 test-subrepo.t
86.920 test-glog.t
85.508 test-rename-merge2.t
83.594 test-revset.t
79.824 test-keyword.t
78.077 test-mq-header-date.t
After split:
Time Test
90.414 test-mq.t
88.594 test-largefiles.t
85.363 test-subrepo.t
81.059 test-glog.t
78.927 test-rename-merge2.t
78.021 test-revset.t
77.777 test-command-template.t
Timing of largefile test themself
-----------------------------------
Running only tests prefixed with "test-largefiles".
No significant change in cumulated time.
Before:
Time Test
58.673 test-largefiles.t
2.931 test-largefiles-cache.t
0.583 test-largefiles-small-disk.t
After:
Time Test
31.754 test-largefiles.t
17.460 test-largefiles-misc.t
8.888 test-largefiles-wireproto.t
2.864 test-largefiles-cache.t
0.580 test-largefiles-small-disk.t
author | Pierre-Yves David <pierre-yves.david@fb.com> |
---|---|
date | Fri, 16 May 2014 13:18:57 -0700 |
parents | cdecbc5ab504 |
children | ee45f5c2ffcc |
line wrap: on
line source
# 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 node import nullid from i18n import _ import random import util, dagutil def _updatesample(dag, nodes, sample, always, quicksamplesize=0): # if nodes is empty we scan the entire graph if nodes: heads = dag.headsetofconnecteds(nodes) else: heads = dag.heads() dist = {} visit = util.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: if curr not in always: # need this check for the early exit below 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 _setupsample(dag, nodes, size): if len(nodes) <= size: return set(nodes), None, 0 always = dag.headsetofconnecteds(nodes) desiredlen = size - len(always) if desiredlen <= 0: # This could be bad if there are very many heads, all unknown to the # server. We're counting on long request support here. return always, None, desiredlen return always, set(), desiredlen def _takequicksample(dag, nodes, size, initial): always, sample, desiredlen = _setupsample(dag, nodes, size) if sample is None: return always if initial: fromset = None else: fromset = nodes _updatesample(dag, fromset, sample, always, quicksamplesize=desiredlen) sample.update(always) return sample def _takefullsample(dag, nodes, size): always, sample, desiredlen = _setupsample(dag, nodes, size) if sample is None: return always # update from heads _updatesample(dag, nodes, sample, always) # update from roots _updatesample(dag.inverse(), nodes, sample, always) assert sample if len(sample) > desiredlen: sample = set(random.sample(sample, desiredlen)) elif len(sample) < desiredlen: more = desiredlen - len(sample) sample.update(random.sample(list(nodes - sample - always), more)) sample.update(always) return sample def findcommonheads(ui, local, remote, initialsamplesize=100, fullsamplesize=200, abortwhenunrelated=True): '''Return a tuple (common, anyincoming, remoteheads) used to identify missing nodes from or in remote. ''' roundtrips = 0 cl = local.changelog dag = dagutil.revlogdag(cl) # early exit if we know all the specified remote heads already ui.debug("query 1; heads\n") roundtrips += 1 ownheads = dag.heads() sample = ownheads if remote.local(): # stopgap until we have a proper localpeer that supports batch() srvheadhashes = remote.heads() yesno = remote.known(dag.externalizeall(sample)) elif remote.capable('batch'): batch = remote.batch() srvheadhashesref = batch.heads() yesnoref = batch.known(dag.externalizeall(sample)) batch.submit() srvheadhashes = srvheadhashesref.value yesno = yesnoref.value else: # compatibility with pre-batch, but post-known remotes during 1.9 # development srvheadhashes = remote.heads() sample = [] 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 sample and util.all(yesno): ui.note(_("all local heads known remotely\n")) ownheadhashes = dag.externalizeall(ownheads) return (ownheadhashes, True, srvheadhashes,) # full blown discovery # own nodes where I don't know if remote knows them undecided = dag.nodeset() # own nodes I know we both know common = set() # own nodes I know remote lacks missing = set() # treat remote heads (and maybe own heads) as a first implicit sample # response common.update(dag.ancestorset(srvheads)) undecided.difference_update(common) full = False while undecided: if sample: commoninsample = set(n for i, n in enumerate(sample) if yesno[i]) common.update(dag.ancestorset(commoninsample, common)) missinginsample = [n for i, n in enumerate(sample) if not yesno[i]] missing.update(dag.descendantset(missinginsample, missing)) undecided.difference_update(missing) undecided.difference_update(common) if not undecided: break if full: ui.note(_("sampling from both directions\n")) sample = _takefullsample(dag, undecided, size=fullsamplesize) elif common: # use cheapish initial sample ui.debug("taking initial sample\n") sample = _takefullsample(dag, undecided, size=fullsamplesize) else: # use even cheaper initial sample ui.debug("taking quick initial sample\n") sample = _takequicksample(dag, undecided, size=initialsamplesize, initial=True) 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 result = dag.headsetofconnecteds(common) ui.progress(_('searching'), None) ui.debug("%d total queries\n" % roundtrips) if not result and srvheadhashes != [nullid]: if abortwhenunrelated: raise util.Abort(_("repository is unrelated")) else: ui.warn(_("warning: repository is unrelated\n")) return (set([nullid]), True, srvheadhashes,) anyincoming = (srvheadhashes != [nullid]) return dag.externalizeall(result), anyincoming, srvheadhashes