Types with `mro()` unconditionally disables type attribute cache, causing performance regression for compatible MRO implementations, such as Zope
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描述
Bug report
Bug description:
Since https://github.com/python/cpython/issues/127773 / https://github.com/python/cpython/pull/127924, any type whose metaclass defines a custom mro() method has its type attribute cache permanently disabled. This was made initially to fix a problem with metaclasses defining mro() to inject new bases that are not in the class bases.
This affects Zope's ExtensionClass, used as base class for most classes the Zope ecosystem. This package has 5000 daily downloads on pypi ( https://pypistats.org/packages/extensionclass ). ExtensionClass defines a custom mro(), but only to reorganizes bases that are already bases of the class, which is different from the scenario from the issue and it looks like a case where the cache could still be used.
Compared to python3.11, this seems to causes a ~3x performance regression for attribute lookups on all zope classes:
$ uv run --python=3.11 --with Zope python -m timeit -s 'import OFS.Folder; f = OFS.Folder.Folder("f")' 'f.getId'
2000000 loops, best of 5: 116 nsec per loop
$ uv run --python=3.14 --with Zope python -m timeit -s 'import OFS.Folder; f = OFS.Folder.Folder("f")' 'f.getId'
500000 loops, best of 5: 399 nsec per loop
it's hard to tell how much this affect applications, this is just a micro benchmark, but we are also observing that running ERP5 test suites (a complex application based on zope) is slower on python3.13 than it was on python3.11.
Analysis
In type_mro_modified(), the check has_custom_mro(type) unconditionally jumps to clear:
which sets tp_versions_used = _Py_ATTR_CACHE_UNUSED, whenever the metaclass overrides mro():
This was introduced to fix https://github.com/python/cpython/issues/127773, where a custom mro() that injects a class not in tp_bases (e.g. Base) causes stale cache entries because PyType_Modified() only propagates through tp_subclasses, not through MRO-only relationships.
Although these are not much relevant here, ExtensionClass's mro is implemented in C as _ExtensionClass.c:569-626 and also has an equivalent pure-python implementation in ExtensionClass.__init__.py:181-200.
Suggested fix
Check whether the custom MRO actually contains non-base entries before disabling the cache. This requires an is_superclass() helper that walks tp_bases (not tp_mro) to determine reachability:
// Return true if `super` is reachable from `sub` through `tp_bases`,
// as opposed to a type merely injected into the MRO by a custom `mro()`
// implementation. Only entries reachable through `tp_bases` are covered
// by the version-tag invalidation that _PyType_Modified_Unlocked()
// propagates through `tp_subclasses`.
static int
is_superclass(PyTypeObject *super, PyTypeObject *sub)
{
PyObject *bases = lookup_tp_bases(sub);
if (bases == NULL) {
return 0;
}
Py_ssize_t n = PyTuple_GET_SIZE(bases);
for (Py_ssize_t i = 0; i < n; i++) {
PyTypeObject *base = _PyType_CAST(PyTuple_GET_ITEM(bases, i));
if (base == super || is_superclass(super, base)) {
return 1;
}
}
return 0;
}
Then in type_mro_modified, replace the unconditional goto clear for custom MROs:
if (!Py_IS_TYPE(type, &PyType_Type) && has_custom_mro(type)) {
// Only disable cache if the custom mro() injected an entry that
// is not reachable through tp_bases;
PyObject *mro = lookup_tp_mro(type);
if (mro == NULL) {
goto clear;
}
Py_ssize_t mro_size = PyTuple_GET_SIZE(mro);
for (Py_ssize_t m = 0; m < mro_size; m++) {
PyTypeObject *entry = _PyType_CAST(PyTuple_GET_ITEM(mro, m));
if (entry != type && !is_superclass(entry, type)) {
goto clear;
}
}
}
I'm not at all familiar with this, but it seems to me that this would preserve the correctness of https://github.com/python/cpython/pull/127924 for types that do inject non-base entries into their MRO (because cache would still be disabled for those), while restoring cache performance for compatible custom MRO implementations like Zope's ExtensionClass.
If this approach makes sense, I already have a draft commit implementing this: https://github.com/perrinjerome/cpython/commit/89af3385eb7e930466dcaef97b2d7b9286eb755e and I would be happy to clean it up and make a pull request.
CPython versions tested on:
3.13
Operating systems tested on:
Linux
贡献指南
从这里开始
- 先读完整个 Issue,再读项目的贡献指南。
- 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
- Fork 仓库,在一个分支上完成修改。
- 提交 Pull Request,并在描述里引用这个 Issue 编号。
调研方向
从 Objects/typeobject.c 中的 type_mro_modified() 开始,阅读周围的缓存失效逻辑,然后将链接的自定义 MRO 行为与拟议的草稿提交进行比较。完成的标准是:保留对在 tp_bases 之外注入的 MRO 条目的缓存失效,同时保留兼容自定义 MRO 的缓存,并为这两种情况提供回归覆盖。
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评估
- 技术栈
- c, python
- 领域
- backend, performance
- Issue 类型
- 缺陷
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- 4/5
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- 3-5 天
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- 48/100