##// END OF EJS Templates
branchcache: skip entries that are topological heads in the on disk file...
branchcache: skip entries that are topological heads in the on disk file In the majority of cases, topological heads are also branch heads. We have efficient way to get the topological heads and efficient way to retrieve their branch information. So there is little value in putting them in the branch cache file explicitly. On the contrary, writing them explicitly tend to create very large cache file that are inefficient to read and update. So the branch cache v3 format is no longer including them. This changeset focus on the format aspect and have no focus on the performance aspect. We will cover that later.

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memorytop.py
44 lines | 1.4 KiB | text/x-python | PythonLexer
# 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()