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remotephase: fast path newheads computation in simple case (issue5964)...
remotephase: fast path newheads computation in simple case (issue5964) Changeset 88efb7d6bcb6 fixed the logic of `phases.newheads` but greatly regressed its performance (up to many order of magnitude). The first step to fix the regression is to exit early when there is no work to do. If there are no heads to filter or not roots to filter them, we don't have to do any work. This fixes the regression when talking to an all public changeset. The performance is even better than before. pypy, compared to an all public repo ------------------------------------ 8eeed92475d5: 0.005758 seconds 88efb7d6bcb6: 0.602517 seconds (x104) this code: 0.001508 seconds (-74% from base) mercurial compared to an all public repo ---------------------------------------- 8eeed92475d5: 0.000577 seconds 88efb7d6bcb6: 0.185316 seconds (x321) this code: 0.000150 seconds (-74% from base) The performance of newheads, when actual computations are required, is fixed in the next changeset.
Boris Feld - - Load All Authors

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base-revsets.txt
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# Base Revsets to be used with revsetbenchmarks.py script
#
# The goal of this file is to gather a limited amount of revsets that allow a
# good coverage of the internal revsets mechanisms. Revsets included should not
# be selected for their individual implementation, but for what they reveal of
# the internal implementation of smartsets classes (and their interactions).
#
# Use and update this file when you change internal implementation of these
# smartsets classes. Please include a comment explaining what each of your
# addition is testing. Also check if your changes to the smartset class makes
# some of the tests inadequate and replace them with a new one testing the same
# behavior.
#
# If you want to benchmark revsets predicate itself, check 'all-revsets.txt'.
#
# The current content of this file is currently likely not reaching this goal
# entirely, feel free, to audit its content and comment on each revset to
# highlight what internal mechanisms they test.
all()
draft()
::tip
draft() and ::tip
::tip and draft()
0::tip
roots(0::tip)
author(lmoscovicz)
author(mpm)
author(lmoscovicz) or author(mpm)
author(mpm) or author(lmoscovicz)
tip:0
0::
# those two `roots(...)` inputs are close to what phase movement use.
roots((tip~100::) - (tip~100::tip))
roots((0::) - (0::tip))
42:68 and roots(42:tip)
::p1(p1(tip))::
public()
:10000 and public()
draft()
:10000 and draft()
roots((0:tip)::)
(not public() - obsolete())
(_intlist('20000\x0020001')) and merge()
parents(20000)
(20000::) - (20000)
# The one below is used by rebase
(children(ancestor(tip~5, tip)) and ::(tip~5))::
heads(commonancestors(last(head(), 2)))