Last active
August 23, 2023 18:02
-
-
Save enkore/14f7bd9f56d6cc17914a73345fd30fc4 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
""" | |
show-odd-cache.py | |
----------------- | |
Usage: | |
python show-odd-cache.py <repository> [<column to sort on>] [<number of entries to show>] | |
Prints a list of the twenty cache entries with the highest reference count. | |
This makes certain kinds of cache corruption (by bad drives, RAM etc) easy. | |
Columns: **refcount**, size (payload size), csize (size in repo) | |
Prepend a '-' to see the smallest values. | |
Tested on Borg 1.0.x, Borg 1.1.x; works with remote repos. | |
""" | |
import heapq | |
import sys | |
from binascii import hexlify | |
from borg.archiver import Archiver, with_repository, UMASK_DEFAULT | |
from borg.helpers import location_validator | |
class XArchiver(Archiver): | |
@with_repository(cache=True) | |
def show_odd_cache_entries(_, args, repository, cache, manifest, key, count, column): | |
fun = heapq.nsmallest if column.startswith('-') else heapq.nlargest | |
column = column.strip('-') | |
index = { | |
'refcount': 0, | |
'size': 1, | |
'csize': 2, | |
}[column] | |
contents = fun(count, cache.chunks.iteritems(), key=lambda k_r_s_c: k_r_s_c[1][index]) | |
fmt = '%-64s %-16s %-16s %-16s' | |
print(fmt % ('Object ID', 'refcount', 'size', 'csize')) | |
for key, (refcount, size, csize) in contents: | |
print(fmt % (hexlify(key).decode(), refcount, size, csize)) | |
class Args: | |
location = location_validator(archive=False)(sys.argv[1]) | |
umask = UMASK_DEFAULT | |
remote_path = 'borg' | |
if __name__ == '__main__': | |
try: | |
column = sys.argv[2] | |
except IndexError: | |
column = 'refcount' | |
try: | |
count = int(sys.argv[3]) | |
except IndexError: | |
count = 20 | |
XArchiver().show_odd_cache_entries(Args, count=count, column=column) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment