# HG changeset patch
# User Joerg Sonnenberger <joerg@bec.de>
# Date 1603312242 -7200
# Node ID 5b6c0af021da84de08a9b289fc24c0f36505255b
# Parent  e9555305c5c68e7a1bd4f2b4f2262fee305c7156
utils: helper function to print top memory allocation site

The memorytop function uses Python's tracemalloc module to show the
source lines / backtraces with the largest remaining allocations. This
allows identifying the origins of active memory by placing calls in
strategic locations. Allocations from C extensions will show up as long
as they are using the Python allocators.

Differential Revision: https://phab.mercurial-scm.org/D9236

diff -r e9555305c5c6 -r 5b6c0af021da mercurial/utils/memorytop.py
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/mercurial/utils/memorytop.py	Wed Oct 21 22:30:42 2020 +0200
@@ -0,0 +1,44 @@
+# 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()