dbm.sqlite breaks multi-threaded shelve usage
Ninguém assumiu esta issue ainda.
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Descrição
Bug report
Bug description:
dbm backends were previously thread safe, but I think dbm.sqlite introduced in https://github.com/python/cpython/pull/114481 is not.
I am not sure if the resolution should be to add a doc comment to shelve/dbm or some other way to fix it, say specifying a preferred backend or multithreading argument in shelve.open as an argument. (Or if there is a way to fix this in dbm.sqlite itself)
Example code:
from concurrent.futures import ThreadPoolExecutor
import shelve
CACHE = shelve.open('test')
def check_set_cache(value):
if 'value' in CACHE:
print(CACHE['value'])
CACHE['value'] = value
return CACHE['value']
jobs = list(range(1, 100))
executor = ThreadPoolExecutor(max_workers=5)
entries = list(executor.map(check_set_cache, jobs))
print(entries)
Log
Traceback (most recent call last):
File "/usr/lib64/python3.13/dbm/sqlite3.py", line 79, in _execute
return closing(self._cx.execute(*args, **kwargs))
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
sqlite3.ProgrammingError: SQLite objects created in a thread can only be used in that same thread. The object was created in thread id 140036133836608 and this is thread id 140035884230336.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/megh/pybug/reproduce.py", line 14, in <module>
entries = list(executor.map(check_set_cache, jobs))
File "/usr/lib64/python3.13/concurrent/futures/_base.py", line 619, in result_iterator
yield _result_or_cancel(fs.pop())
~~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/lib64/python3.13/concurrent/futures/_base.py", line 317, in _result_or_cancel
return fut.result(timeout)
~~~~~~~~~~^^^^^^^^^
File "/usr/lib64/python3.13/concurrent/futures/_base.py", line 449, in result
return self.__get_result()
~~~~~~~~~~~~~~~~~^^
File "/usr/lib64/python3.13/concurrent/futures/_base.py", line 401, in __get_result
raise self._exception
File "/usr/lib64/python3.13/concurrent/futures/thread.py", line 59, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/megh/pybug/reproduce.py", line 7, in check_set_cache
if 'value' in CACHE:
^^^^^^^^^^^^^^^^
File "/usr/lib64/python3.13/shelve.py", line 102, in __contains__
return key.encode(self.keyencoding) in self.dict
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<frozen _collections_abc>", line 817, in __contains__
File "/usr/lib64/python3.13/dbm/sqlite3.py", line 89, in __getitem__
with self._execute(LOOKUP_KEY, (key,)) as cu:
~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^
File "/usr/lib64/python3.13/dbm/sqlite3.py", line 81, in _execute
raise error(str(exc))
dbm.sqlite3.error: SQLite objects created in a thread can only be used in that same thread. The object was created in thread id 140036133836608 and this is thread id 140035884230336.
(Observed here https://github.com/beancount/beanprice/issues/91 )
CPython versions tested on:
3.13
Operating systems tested on:
Linux
Linked PRs
- gh-131920
Guia de contribuição
Primeiros passos
- Leia a issue inteira e depois o guia de contribuição do projeto.
- Comente na issue dizendo que vai assumir — evita que duas pessoas façam o mesmo trabalho.
- Faça um fork do repositório e trabalhe em uma branch.
- Abra um pull request que referencie o número da issue.
Direção de pesquisa
Comece por Lib/dbm/sqlite3.py, especialmente _execute, e Lib/shelve.py para entender como o backend é selecionado e acessado. Reproduza o exemplo com threads no Python 3.13 e, em seguida, revise o PR vinculado gh-131920 e os comentários existentes antes de decidir qual comportamento e quais testes definiriam uma correção.
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Avaliação
- Stack de tecnologia
- python, sqlite
- Domínio
- databases
- Tipo de issue
- Bug
- Dificuldade
- 4/5
- Tempo estimado
- 3-5 dias
- Status de atividade
- Estagnada
- Clareza
- Precisa de esclarecimento
- Facilidade para iniciantes
- 20/100