Memory leak in Modules/sre_lib.h

[abacabadabacaba]

BPO	23689
Nosy	@vstinner, @ezio-melotti, @serhiy-storchaka, @animalize
PRs	[WIP] bpo-23689: Memory leak in Modules/sre_lib.h #11926 bpo-23689: re module, allocate SRE_REPEAT in a memory pool #12160 [WIP] bpo-23689: re module, fix memory leak when a match is terminated by a signal #32188 bpo-23689: re module, fix memory leak when a match is terminated by a signal or memory allocation failure #32223 bpo-23689: re module, fix memory leak when a match is terminated by a signal or memory allocation failure #32283
Files	sre_clean_repeat_data.patch

^{Note: these values reflect the state of the issue at the time it was migrated and might not reflect the current state.}

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GitHub fields:

assignee = 'https://github.com/serhiy-storchaka'
closed_at = <Date 2022-04-03.16:21:31.788>
created_at = <Date 2015-03-17.16:56:20.153>
labels = ['expert-regex', '3.11', 'performance']
title = 'Memory leak in Modules/sre_lib.h'
updated_at = <Date 2022-04-03.16:21:31.787>
user = 'https://bugs.python.org/abacabadabacaba'

bugs.python.org fields:

activity = <Date 2022-04-03.16:21:31.787>
actor = 'serhiy.storchaka'
assignee = 'serhiy.storchaka'
closed = True
closed_date = <Date 2022-04-03.16:21:31.788>
closer = 'serhiy.storchaka'
components = ['Regular Expressions']
creation = <Date 2015-03-17.16:56:20.153>
creator = 'abacabadabacaba'
dependencies = []
files = ['38529']
hgrepos = []
issue_num = 23689
keywords = ['patch']
message_count = 13.0
messages = ['238313', '238320', '238324', '238326', '238328', '238343', '238388', '335889', '337113', '416266', '416269', '416630', '416631']
nosy_count = 7.0
nosy_names = ['vstinner', 'ezio.melotti', 'mrabarnett', 'abacabadabacaba', 'serhiy.storchaka', 'malin', 'alexei.romanov']
pr_nums = ['11926', '12160', '32188', '32223', '32283']
priority = 'normal'
resolution = 'fixed'
stage = 'resolved'
status = 'closed'
superseder = None
type = 'resource usage'
url = 'https://bugs.python.org/issue23689'
versions = ['Python 3.11']

Linked PRs

• gh-67877: Fix memory leaks in terminated RE matching #126840
• gh-67877: Fix memory leaks in terminated RE matching #126843
• [3.13] gh-67877: Fix memory leaks in terminated RE matching (GH-126840) #126960
• [3.12] gh-67877: Fix memory leaks in terminated RE matching (GH-126840) #126961

[abacabadabacaba]

In Modules/sre_lib.h on line 882 [1], a block of memory is allocated. If SRE(match) function later terminates abruptly, either because of a signal or because subsequent memory allocation fails, this block is never released.

[1] https://hg.python.org/cpython/file/c89f7c34e356/Modules/sre_lib.h#l882

[vstinner]

There is maybe a bug. Can you show an example of regex and a text where the memory leak occurs? You can use the tracemalloc module to check if there is a memory leak. Or use sys.getcounts() if you compiled Python in debug mode.

sre_lib.h is very complex, it uses the C instruction "goto" with regex bytecodes.

"DO_JUMP(JUMP_REPEAT, jump_repeat, ctx->pattern+ctx->pattern[0]);" calls "goto entrace" to execute following bytecodes, but later it comes back after DO_JUMP() with the "jump_repeat:" label:

https://hg.python.org/cpython/file/c89f7c34e356/Modules/sre_lib.h#l1180

[abacabadabacaba]

Memory leak only happens if match operation terminates abruptly, e.g. because of SIGINT. In this case, DO_JUMP doesn't come back.

[abacabadabacaba]

Tracemalloc code:

 import re
 import signal
 import tracemalloc

 class AlarmError(Exception):
 pass
 def handle_alarm(signal, frame):
 raise AlarmError
 signal.signal(signal.SIGALRM, handle_alarm)

 s1 = tracemalloc.take_snapshot()
 for _ in range(20):
 try:
 signal.alarm(1)
 re.match('(?:a|a|(?=b)){1000}', 'a'*999)
 raise RuntimeError
 except AlarmError:
 pass
 s2 = tracemalloc.take_snapshot()
 res = s2.compare_to(s1, 'lineno')
 for e in res[:10]:
 print(e)

For me, it shows almost 3 MiB allocated in re.py.

[serhiy-storchaka]

May be this patch helps.

[vstinner]

Oh cool, you wrote a script to reproduce the issue! And Serhiy wrote a patch, great! Great job guys.

sre_clean_repeat_data.patch looks good to me.

@serhiy: Can you try the example to ensure that it fixes the issue? If yes, go ahead!

[abacabadabacaba]

This patch doesn't fix the issue. The problem is that the list starting with state->repeat doesn't necessarily contains all repeat contexts that are allocated. Indeed, here [1] and here [2] repeat contexts are temporarily removed from the list. If the match procedure terminates abruptly, they are not added back.

[1] https://hg.python.org/cpython/file/c89f7c34e356/Modules/sre_lib.h#l963
[2] https://hg.python.org/cpython/file/c89f7c34e356/Modules/sre_lib.h#l1002

[animalize]

Try to allocate SRE_REPEAT on state's stack, the performance has not changed significantly.

It passes the other tests, except this one (test_stack_overflow):
https://github.com/python/cpython/blob/v3.8.0a1/Lib/test/test_re.py#L1225-L1230

I'll try to fix bpo-35859, bpo-9134 first.

[animalize]

PR11926 (closed) tried to allocate SRE_REPEAT on state's stack.
It's feasible, but messes up the code in sre_lib.h, and reduces performance a little (roughly 6% slower), so I gave up this solution.

PR12160 uses a memory pool, this solution doesn't mess up the code.

🔸For infrequent alloc/free scenes, it adds a small overhead:

s = 'a'
p = re.compile(r'(a)?')
p.match(s) # <- measure this statement

before patch: 316 ns +- 19 ns
after patch: 324 ns +- 11 ns, 2.5% slower.
(by perf module)

🔸For very frequent alloc/free scenes, it brings a speedup:

s = 200_000_000 * 'a'
p = re.compile(r'.*?(?:bb)+')
p.match(s) # <- measure this statement

before patch: 7.16 sec
after patch: 5.82 sec, 18.7% faster.
(best of 10 tests)

🔸I tested in a real case that use 17 patterns to process 100MB data:

before patch: 27.09 sec
after patch: 26.78 sec, 1.1% faster.
(best of 4 tests)