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resource tracker destroys shared memory segments when other processes should still have valid access #82300

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@applio
BPO 38119
Nosy @pitrou, @applio, @pablogsal, @maggyero, @vinay0410, @JSmith-BitFlipper, @keven425, @TKaluza
PRs
  • bpo-38119: Fix shmem resource tracking #15989
  • gh-82300: Disable resource tracking & auto-destruction of SharedMemory blocks on POSIX #21516
  • bpo-38119: fix shared memory's resource tracking #23174
  • Files
  • mprt_monkeypatch.py
  • 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/applio'
    closed_at = None
    created_at = <Date 2019-09-11.15:58:26.817>
    labels = ['3.8', 'type-bug', 'library', '3.9', '3.10']
    title = 'resource tracker destroys shared memory segments when other processes should still have valid access'
    updated_at = <Date 2022-02-10.20:53:56.777>
    user = 'https://github.com/applio'

    bugs.python.org fields:

    activity = <Date 2022-02-10.20:53:56.777>
    actor = 'maggyero'
    assignee = 'davin'
    closed = False
    closed_date = None
    closer = None
    components = ['Library (Lib)']
    creation = <Date 2019-09-11.15:58:26.817>
    creator = 'davin'
    dependencies = []
    files = ['49859']
    hgrepos = []
    issue_num = 38119
    keywords = ['patch']
    message_count = 14.0
    messages = ['351960', '352050', '374434', '374939', '374944', '374951', '374954', '374956', '374958', '374974', '387606', '388287', '390198', '412440']
    nosy_count = 12.0
    nosy_names = ['pitrou', 'steve.newcomb', 'turicas', 'davin', 'pablogsal', 'maggyero', 'vinay0410', 'damian.barabonkov', 'keven425', 'davfelsen', 'jdogzz-g5', 'timka']
    pr_nums = ['15989', '21516', '23174']
    priority = 'normal'
    resolution = None
    stage = 'patch review'
    status = 'open'
    superseder = None
    type = 'behavior'
    url = 'https://bugs.python.org/issue38119'
    versions = ['Python 3.8', 'Python 3.9', 'Python 3.10']

    TODO list:

    Linked PRs

    Activity

    1. applio commented on Sep 11, 2019

      @applio
      MemberAuthor

      The resource tracker currently destroys (via _posixshmem.shm_unlink) shared memory segments on posix systems when any independently created Python process with a handle on a shared memory segment exits (gracefully or otherwise). This breaks the expected cross-platform behavior that a shared memory segment persists at least as long as any running process has a handle on that segment.

      As described with an example scenario in bpo-37754:
      Let's say a three processes P1, P2 and P3 are trying to communicate using shared memory.
      --> P1 creates the shared memory block, and waits for P2 and P3 to access it.
      --> P2 starts and attaches this shared memory segment, writes some data to it and exits.
      --> Now in case of Unix, shm_unlink is called as soon as P2 exits. (This is by action of the resource tracker.)
      --> Now, P3 starts and tries to attach the shared memory segment.
      --> P3 will not be able to attach the shared memory segment in Unix, because shm_unlink has been called on that segment.
      --> Whereas, P3 will be able to attach to the shared memory segment in Windows.

      Another key scenario we expect to work but does not currently:

      1. A multiprocessing.managers.SharedMemoryManager is instantiated and started in process A.
      2. A shared memory segment is created using that manager in process A.
      3. A serialized representation of that shared memory segment is deserialized in process B.
      4. Process B does work with the shared memory segment that is also still visible to process A.
      5. Process B exits cleanly.
      6. Process A reads data from the shared memory segment after process B is gone. (This currently fails.)

      The SharedMemoryManager provides a flexible means for ensuring cleanup of shared memory segments. The current resource tracker attempts to treat shared memory segments as equivalent to semaphore references, which is too narrow of an interpretation. As such, the current resource tracker should not be attempting to enforce cleanup of shared memory segments because it breaks expected behavior and significantly limits functionality.

    2. self-assigned this
      on Sep 11, 2019
    3. added
      stdlibStandard Library Python modules in the Lib/ directory
      type-bugAn unexpected behavior, bug, or error
      on Sep 11, 2019
    4. vinay0410 commented on Sep 12, 2019

      vinay0410mannequin
      Mannequin

      Hi Davin,
      This PR would fix the issues mentioned by you, by not prematurely unlinking the shared memory segment. And, therefore it would make shared memory useful in a lot of use cases.

      But, this would still not make Unix's implementation consistent with Windows.
      Windows uses a reference counting mechanism to count the number of processes using a shared memory segment. When all of them are done using it, Windows simply unlinks and frees the memory allocated to the shared memory segment.

      I know that you already know this. I am commenting to find out, that what would be the next steps to fix the above inconsistency. You could see my last comment(msg351445) in bpo-37754, where I have listed some ways to implement the above reference counting mechanism.

      If you could have a look and see which one would be the best way, I would be happy to make a PR for it.

    5. gvanrossum commented on Jul 27, 2020

      @gvanrossum
      Member

      @davin, could you merge one or the other of the PRs that fix this? Presumably also backport to 3.9 and 3.8 (but that's up to you and the release manager).

    6. JSmith-BitFlipper commented on Aug 6, 2020

      JSmith-BitFlippermannequin
      Mannequin

      As per Guido's comment (#21516 (comment)), I'm going to use this space to discuss ways to go forward with resource tracking and SharedMemory.

      Taking inspiration from Vinay (https://bugs.python.org/issue37754#msg351445), I think the simplest and best way forward is to use a small section of the shared memory at the start as a reference counter.

      Every time a process latches onto a shared memory block, it does and atomic increment to the reference counter. And if it detaches, it does an atomic decrement. This atomic operations are available in C via hardware specific instructions. This would require modifying the Python C code posixshmem.c. It should not be a difficult change.

      This would then change the SharedMemory API such that a call to close() could check the reference count at the end, and aromatically unlink if it reaches 0. Basically, the purpose of the explicit unlink() call is dissolved.

      I think this would also play nice with the current implementation of the resource_tracker. A small change would need to take place such that it calls close() instead of unlink() as the clean up function. Nonetheless, it would keep track if all attachments of shared memory call close() at the end, which they should, and issue a warning if they do not. It would do this with the current code, no need to change anything.

    7. gvanrossum commented on Aug 6, 2020

      @gvanrossum
      Member

      I recommend bringing this new proposal up on python-dev or python-ideas, to get more eyeballs on the ideas before attempting implementation. One immediate worry I have is that if the reference counter is maintained in the shared memory segment, every process has to participate, and if a process crashes (segfaults) the shared refcount will be forever wrong and the segment will leak. Distributed GC is hard!

    8. vinay0410 commented on Aug 6, 2020

      vinay0410mannequin
      Mannequin

      That's a valid point Guido. But, I guess this can be easily handled by resource tracker. At this current moment resource tracker unlinks shared memory if the process which created it dies without unliking it.

      Therefore, resource tracker handles cleaning up resources which the respective processes couldn't or didn't do.

      So, instead of unlinking the shared memory segment, resource tracker can instead decrement the reference count, if the process failed to do so, and if the reference count becomes 0, then unlink the shared memory segment.

      This approach will ensure that even if the respective processes died unexpectedly, there are no leaks.

    9. JSmith-BitFlipper commented on Aug 6, 2020

      JSmith-BitFlippermannequin
      Mannequin

      Unless the resource_tracker also dies along with the process. In which case, I'm not sure what there is there to do.

      I believe the resource_tracker actually spawns a process alongside the process that uses it. So if the parent process seg-faults, the resource_tracker should still be alive.

    10. vinay0410 commented on Aug 6, 2020

      vinay0410mannequin
      Mannequin

      Well, the chances of resource tracker dying abruptly are very less because it's thoroughly tested, and there are mechanisms to re-spawn resource_tracker process if you see the code. There is a function called def ensure_running.

      Resource tracker is still alive even if the process for which it was created dies. It also handles cleaning shared semaphores. So, I guess this is something we can rely on for cleaning up things, because at the end of the day that's what it was made for.

    11. JSmith-BitFlipper commented on Aug 6, 2020

      JSmith-BitFlippermannequin
      Mannequin

      Agreed.

    12. 32 remaining items

    13. gpshead commented on Dec 5, 2023

      @gpshead
      Member

      Thanks for all the discussion & proposed PRs everybody.

    14. buzmeg commented on Dec 11, 2023

      @buzmeg

      @pan324 Thanks for continuing to bang on the PR until it got through.

      @gpshead Thanks for shepherding this in.

    15. gvanrossum commented on Dec 11, 2023

      @gvanrossum
      Member

      Thanks Greg. I was out of my depth here…

    16. added a commit that references this issue on Feb 11, 2024
    17. tanrbobanr commented on Jun 15, 2024

      @tanrbobanr

      Glad to see this get resolved. For a backward-compatible fix, I have found that the below works well in case anybody needs this in earlier Python versions:

      import sys
      import threading
      from multiprocessing import resource_tracker as _mprt
      from multiprocessing import shared_memory as _mpshm
      
      
      if sys.version_info >= (3, 13):
          SharedMemory = _mpshm.SharedMemory
      else:
          class SharedMemory(_mpshm.SharedMemory):
              __lock = threading.Lock()
      
              def __init__(
                  self, name: str | None = None, create: bool = False,
                  size: int = 0, *, track: bool = True
              ) -> None:
                  self._track = track
      
                  # if tracking, normal init will suffice
                  if track:
                      return super().__init__(name=name, create=create, size=size)
      
                  # lock so that other threads don't attempt to use the
                  # register function during this time
                  with self.__lock:
                      # temporarily disable registration during initialization
                      orig_register = _mprt.register
                      _mprt.register = self.__tmp_register
      
                      # initialize; ensure original register function is
                      # re-instated
                      try:
                          super().__init__(name=name, create=create, size=size)
                      finally:
                          _mprt.register = orig_register
      
              @staticmethod
              def __tmp_register(*args, **kwargs) -> None:
                  return
      
              def unlink(self) -> None:
                  if _mpshm._USE_POSIX and self._name:
                      _mpshm._posixshmem.shm_unlink(self._name)
                      if self._track:
                          _mprt.unregister(self._name, "shared_memory")

      This is likely slightly less efficient than simply copying the 3.13 version of SharedMemory, but is a lot smaller (especially given only a few things need to happen in order for tracking to be avoided).

    18. added a commit that references this issue on Sep 2, 2024
    19. added a commit that references this issue on Dec 26, 2024
    20. mbrinz commented on Mar 2, 2025

      @mbrinz

      my application is using ShareableList() which makes use of SharedMemory() => shared_memory.py .. actually I was glad to see that the track parameter got added to SharedMemory() as of 3.13 onwwards, but I was wondering why this track parameter was not added to ShareableList() also ... doing this will help standalone client processes to close without destroying the ShareableList() of the server process.
      Below you see the necessary adaptations in the code for this:

      `class ShareableList:

      def __init__(self, sequence=None, *, name=None, track=True):
      
          if name is None or sequence is not None:
      
              self.shm = SharedMemory(name, create=True, size=requested_size, track=track)
          else:
              self.shm = SharedMemory(name, track=track)
      

      `

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