dbm.sqlite breaks multi-threaded shelve usage
Nadie ha tomado este issue todavía.
- Lenguaje dominante
- Python
- Estrellas
- 77.2k
- Forks
- 35.9k
- Métricas de merge de PR
- Métricas de PR pendientes
Descripción
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
Guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
Línea de trabajo
Empieza por Lib/dbm/sqlite3.py, especialmente _execute, y Lib/shelve.py para entender cómo se selecciona y se accede al backend. Reproduce el ejemplo con hilos en Python 3.13 y, después, revisa el PR enlazado gh-131920 y los comentarios existentes antes de decidir qué comportamiento y qué pruebas definirían una solución.
Escrito por el modelo de indexación a partir del texto del issue.
Evaluación
- Stack tecnológico
- python, sqlite
- Área
- databases
- Tipo de issue
- Error
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Estado de actividad
- Estancado
- Claridad
- Necesita aclaración
- Aptitud para principiantes
- 20/100