python / python/cpython

Prevent deadlocks in `ctypes.util.dllist()` on Linux (and maybe other Unices)

未关闭
#157,573 8 条评论 0 个 reaction 已指派 0 人 在 GitHub 查看

还没有人认领这个 Issue。

3.14 extension-modules topic-ctypes type-bug
主要语言
Python
星标
77.2k
派生
35.9k
PR 合并指标
PR 指标待抓取

描述

On Linux, ctypes.util.dllist() uses dl_iterate_phdr, which due to the way it works is prone to deadlocks when used from Python. It would be good if Python guaranteed that this form of deadlock won't happen. Update: See reproducer below, in the comments.

This is relevant to threadpoolctl (183 million PyPI downloads last month), which has started to use ctypes.util.dlllist() in its latest release, and in an ideal world would only rely on it once Python 3.14 is the oldest supported release.

Background: A real deadlock bug involving dl_iterate_phdr I encountered in the real world

In older releases, threadpoolctl would use dl_iterate_phdr itself (using ctypes). Importantly, this C API uses callbacks, and so threadpoolctl had the callbacks call back into Python.

Meanwhile, NumPy on Linux also calls dl_iterate_phdr indirectly (via backtrace API on Linux, some sort of temporary array optimization). NumPy holds the GIL while doing so (I will file an issue about that too).

threadpoolctl is very often used together with NumPy, so now that threading is becoming more commonly used, this interaction is a likely scenario. And presumably other libraries use dl_iterate_phdr, either directly, or indirectly as NumPy does.

So here's the scenario:

  • Thread A is calling dl_iterate_phdr via threadpoolctl.
  • Thread B is calling dl_iterate_phdr via NumPy.

The following sequence of events can happen:

  1. Thread A calls dl_iterate_phdr. This acquires an internal lock inside the dl system; we'll call this DL-LOCK.
  2. Thread A calls into Python, and the GIL gets released inside that callback.
  3. Thread B gets scheduled, it holds the GIL.
  4. Thread B calls dl_iterate_phdr, which tries to acquire DL-LOCK... but it's held by thread A. Meanwhile, thread A is waiting for the GIL, which is held by thread B.

At this point the program is deadlocked, and no Python thread will ever run again.

ctypes.util.dllist() in CPython seems potentially vulnerable to this deadlock

Looking at the relevant code in CPython, the same deadlock could happen if PyUnicode_DecodeFSDefault or PyList_Append release the GIL.

The former at least ends up dealing with the whole codec lookup system, plus some specific filesystem encoding infrastructure, so what it does is pretty complex. It might release the GIL, or it might not. And it might potentially change to not be OK in future versions.

The solution

When using dl_iterate_phdr, dllist() should have as part of its contract that the GIL can't be released and reacquired while calling dl_iterate_phdr.

More concretely:

  1. Not call into Python at all in the dl_iterate_phdr callback. Instead, accumulate the paths in pure C data structures, and then do the Python transformation once dl_iterate_phdr is done.
  2. Since dl_iterate_phdr is acquiring an external non-Python lock, it should also be wrapped with Py_BEGIN_ALLOW_THREADS.

贡献指南

打开贡献指南

从这里开始

  1. 先读完整个 Issue,再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

调研方向

从 Modules/_ctypes/callproc.c 中链接的 dllist() 实现开始,然后阅读 dl_iterate_phdr 的契约以及注释中引用的复现程序。确保在库迭代处于活动状态时 callback 不会调用 Python,并验证所报告的 GIL/DL-LOCK 死锁场景已不再可能发生。

由索引模型根据 Issue 内容生成。

评估

技术栈
c, linux, python
领域
backend, operating-systems
Issue 类型
缺陷
难度
4/5
预计耗时
3-5 天
活跃度
活跃
描述清晰度
基本清楚
新手友好度
48/100

把新 issue 发到你的邮箱

精选适合新手参与的 GitHub issue 摘要。