This document describes the current stable version of Celery (5.2). For development docs, go here.
Source code for celery.backends.database.session
"""SQLAlchemy session."""
import time
from kombu.utils.compat import register_after_fork
from sqlalchemy import create_engine
from sqlalchemy.exc import DatabaseError
from sqlalchemy.orm import sessionmaker
from sqlalchemy.pool import NullPool
from celery.utils.time import get_exponential_backoff_interval
try:
from sqlalchemy.orm import declarative_base
except ImportError:
# TODO: Remove this once we drop support for SQLAlchemy < 1.4.
from sqlalchemy.ext.declarative import declarative_base
ResultModelBase = declarative_base()
__all__ = ('SessionManager',)
PREPARE_MODELS_MAX_RETRIES = 10
def _after_fork_cleanup_session(session):
session._after_fork()
[docs]class SessionManager:
"""Manage SQLAlchemy sessions."""
def __init__(self):
self._engines = {}
self._sessions = {}
self.forked = False
self.prepared = False
if register_after_fork is not None:
register_after_fork(self, _after_fork_cleanup_session)
def _after_fork(self):
self.forked = True
[docs] def get_engine(self, dburi, **kwargs):
if self.forked:
try:
return self._engines[dburi]
except KeyError:
engine = self._engines[dburi] = create_engine(dburi, **kwargs)
return engine
else:
kwargs = {k: v for k, v in kwargs.items() if
not k.startswith('pool')}
return create_engine(dburi, poolclass=NullPool, **kwargs)
[docs] def create_session(self, dburi, short_lived_sessions=False, **kwargs):
engine = self.get_engine(dburi, **kwargs)
if self.forked:
if short_lived_sessions or dburi not in self._sessions:
self._sessions[dburi] = sessionmaker(bind=engine)
return engine, self._sessions[dburi]
return engine, sessionmaker(bind=engine)
[docs] def prepare_models(self, engine):
if not self.prepared:
# SQLAlchemy will check if the items exist before trying to
# create them, which is a race condition. If it raises an error
# in one iteration, the next may pass all the existence checks
# and the call will succeed.
retries = 0
while True:
try:
ResultModelBase.metadata.create_all(engine)
except DatabaseError:
if retries < PREPARE_MODELS_MAX_RETRIES:
sleep_amount_ms = get_exponential_backoff_interval(
10, retries, 1000, True
)
time.sleep(sleep_amount_ms / 1000)
retries += 1
else:
raise
else:
break
self.prepared = True
[docs] def session_factory(self, dburi, **kwargs):
engine, session = self.create_session(dburi, **kwargs)
self.prepare_models(engine)
return session()