nodemap: gate the feature behind a new requirement
Now that the feature is working smoothly, a question was still open, should we
gate the feature behind a new requirement or just treat it as a cache to be
warmed by those who can and ignored by other.
The advantage of using the cache approach is a transparent upgrade/downgrade
story, making the feature easier to move to. However having out of date cache
can come with a significant performance hit for process who expect an up to
date cache but found none. In this case the file needs to be stored under
`.hg/cache`.
The "requirement" approach guarantee that the persistent nodemap is up to date.
However, it comes with a less flexible activation story since an explicite
upgrade is required. In this case the file can be stored in `.hg/store`.
This wiki page is relevant to this questions:
https://www.mercurial-scm.org/wiki/ComputedIndexPlan
So which one should we take? Another element came into plan, the persistent
nodemap use the `add` method of the transaction, it is used to keep track of a
file content before a transaction in case we need to rollback it back. It turns
out that the `transaction.add` API does not support file stored anywhere than
`.hg/store`. Making it support file stored elsewhere is possible, require a
change in on disk transaction format. Updating on disk file requires…
introducing a new requirements.
As a result, we pick the second option "gating the persistent nodemap behind a
new requirements".
Differential Revision: https://phab.mercurial-scm.org/D8417
# unit tests for mercuril.util utilities
from __future__ import absolute_import
import contextlib
import itertools
import unittest
from mercurial import pycompat, util, utils
@contextlib.contextmanager
def mocktimer(incr=0.1, *additional_targets):
"""Replaces util.timer and additional_targets with a mock
The timer starts at 0. On each call the time incremented by the value
of incr. If incr is an iterable, then the time is incremented by the
next value from that iterable, looping in a cycle when reaching the end.
additional_targets must be a sequence of (object, attribute_name) tuples;
the mock is set with setattr(object, attribute_name, mock).
"""
time = [0]
try:
incr = itertools.cycle(incr)
except TypeError:
incr = itertools.repeat(incr)
def timer():
time[0] += next(incr)
return time[0]
# record original values
orig = util.timer
additional_origs = [(o, a, getattr(o, a)) for o, a in additional_targets]
# mock out targets
util.timer = timer
for obj, attr in additional_targets:
setattr(obj, attr, timer)
try:
yield
finally:
# restore originals
util.timer = orig
for args in additional_origs:
setattr(*args)
# attr.s default factory for util.timedstats.start binds the timer we
# need to mock out.
_start_default = (util.timedcmstats.start.default, 'factory')
@contextlib.contextmanager
def capturestderr():
"""Replace utils.procutil.stderr with a pycompat.bytesio instance
The instance is made available as the return value of __enter__.
This contextmanager is reentrant.
"""
orig = utils.procutil.stderr
utils.procutil.stderr = pycompat.bytesio()
try:
yield utils.procutil.stderr
finally:
utils.procutil.stderr = orig
class timedtests(unittest.TestCase):
def testtimedcmstatsstr(self):
stats = util.timedcmstats()
self.assertEqual(str(stats), '<unknown>')
self.assertEqual(bytes(stats), b'<unknown>')
stats.elapsed = 12.34
self.assertEqual(str(stats), pycompat.sysstr(util.timecount(12.34)))
self.assertEqual(bytes(stats), util.timecount(12.34))
def testtimedcmcleanexit(self):
# timestamps 1, 4, elapsed time of 4 - 1 = 3
with mocktimer([1, 3], _start_default):
with util.timedcm('pass') as stats:
# actual context doesn't matter
pass
self.assertEqual(stats.start, 1)
self.assertEqual(stats.elapsed, 3)
self.assertEqual(stats.level, 1)
def testtimedcmnested(self):
# timestamps 1, 3, 6, 10, elapsed times of 6 - 3 = 3 and 10 - 1 = 9
with mocktimer([1, 2, 3, 4], _start_default):
with util.timedcm('outer') as outer_stats:
with util.timedcm('inner') as inner_stats:
# actual context doesn't matter
pass
self.assertEqual(outer_stats.start, 1)
self.assertEqual(outer_stats.elapsed, 9)
self.assertEqual(outer_stats.level, 1)
self.assertEqual(inner_stats.start, 3)
self.assertEqual(inner_stats.elapsed, 3)
self.assertEqual(inner_stats.level, 2)
def testtimedcmexception(self):
# timestamps 1, 4, elapsed time of 4 - 1 = 3
with mocktimer([1, 3], _start_default):
try:
with util.timedcm('exceptional') as stats:
raise ValueError()
except ValueError:
pass
self.assertEqual(stats.start, 1)
self.assertEqual(stats.elapsed, 3)
self.assertEqual(stats.level, 1)
def testtimeddecorator(self):
@util.timed
def testfunc(callcount=1):
callcount -= 1
if callcount:
testfunc(callcount)
# timestamps 1, 2, 3, 4, elapsed time of 3 - 2 = 1 and 4 - 1 = 3
with mocktimer(1, _start_default):
with capturestderr() as out:
testfunc(2)
self.assertEqual(
out.getvalue(),
(b' testfunc: 1.000 s\n' b' testfunc: 3.000 s\n'),
)
if __name__ == '__main__':
import silenttestrunner
silenttestrunner.main(__name__)