##// END OF EJS Templates
phases: large rewrite on retract boundary...
phases: large rewrite on retract boundary The new code is still pure Python, so we still have room to going significantly faster. However its complexity of the complex part is `O(|[min_new_draft, tip]|)` instead of `O(|[min_draft, tip]|` which should help tremendously one repository with old draft (like mercurial-devel or mozilla-try). This is especially useful as the most common "retract boundary" operation happens when we commit/rewrite new drafts or when we push new draft to a non-publishing server. In this case, the smallest new_revs is very close to the tip and there is very few work to do. A few smaller optimisation could be done for these cases and will be introduced in later changesets. We still have iterate over large sets of roots, but this is already a great improvement for a very small amount of work. We gather information on the affected changeset as we go as we can put it to use in the next changesets. This extra data collection might slowdown the `register_new` case a bit, however for register_new, it should not really matters. The set of new nodes is either small, so the impact is negligible, or the set of new nodes is large, and the amount of work to do to had them will dominate the overhead the collecting information in `changed_revs`. As this new code compute the changes on the fly, it unlock other interesting improvement to be done in later changeset.

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memorytop.py
44 lines | 1.4 KiB | text/x-python | PythonLexer
Joerg Sonnenberger
utils: helper function to print top memory allocation site...
r46393 # memorytop requires Python 3.4
#
# Usage: set PYTHONTRACEMALLOC=n in the environment of the hg invocation,
# where n>= is the number of frames to show in the backtrace. Put calls to
# memorytop in strategic places to show the current memory use by allocation
# site.
import gc
import tracemalloc
def memorytop(limit=10):
gc.collect()
snapshot = tracemalloc.take_snapshot()
snapshot = snapshot.filter_traces(
(
tracemalloc.Filter(False, "<frozen importlib._bootstrap>"),
tracemalloc.Filter(False, "<frozen importlib._bootstrap_external>"),
tracemalloc.Filter(False, "<unknown>"),
)
)
stats = snapshot.statistics('traceback')
total = sum(stat.size for stat in stats)
print("\nTotal allocated size: %.1f KiB\n" % (total / 1024))
print("Lines with the biggest net allocations")
for index, stat in enumerate(stats[:limit], 1):
print(
"#%d: %d objects using %.1f KiB"
% (index, stat.count, stat.size / 1024)
)
for line in stat.traceback.format(most_recent_first=True):
print(' ', line)
other = stats[limit:]
if other:
size = sum(stat.size for stat in other)
count = sum(stat.count for stat in other)
print(
"%s other: %d objects using %.1f KiB"
% (len(other), count, size / 1024)
)
print()