Question

我的应用使用类似于this的技术连接到多个数据库。只要我不尝试在同一请求中访问不同的数据库，它就可以工作。回顾上面的脚本，我看到他们已经为此写了一条评论：

SQLAlchemy integration for CherryPy,
such that you can access multiple databases,
but only one of these databases per request or thread.

我的应用程序现在要求我从数据库A和数据库B中获取数据。是否可以在单个请求中执行此操作？

请参阅下面的资料和示例：

工作示例1：

from model import meta

my_object_instance = meta.main_session().query(MyObject).filter(
    MyObject.id == 1
).one()

工作示例2：

from model import meta

my_user = meta.user_session().query(User).filter(
    User.id == 1
).one()

错误示例：

from model import meta

my_object_instance = meta.main_session().query(MyObject).filter(
    MyObject.id == 1
).one()

my_user = meta.user_session().query(User).filter(
    User.id == 1
).one()

此错误：

(sqlalchemy.exc.ProgrammingError) (1146, "Table 'main_db.user' doesn't exist")

来源：

# meta.py
import cherrypy
import sqlalchemy
from sqlalchemy import MetaData
from sqlalchemy.orm import scoped_session, sessionmaker
from sqlalchemy.ext.declarative import declarative_base

# Return an Engine
def create_engine(defaultschema = True, schema = "", **kwargs):

    # A blank DB is the same as no DB so to specify a non-schema-specific connection just override with defaultschema = False
    connectionString = 'mysql://%s:%s@%s/%s?charset=utf8' % (
        store['application'].config['main']['database-server-config-username'],
        store['application'].config['main']['database-server-config-password'],
        store['application'].config['main']['database-server-config-host'],
        store['application'].config['main']['database-server-config-defaultschema'] if defaultschema else schema
    )
    # Create engine object. we pass **kwargs through so this call can be extended
    return sqlalchemy.create_engine(connectionString, echo=True, pool_recycle=10, echo_pool=True, encoding='utf-8', **kwargs)

# Engines
main_engine = create_engine()
user_engine = None

# Sessions
_main_session = None
_user_session = None

# Metadata
main_metadata = MetaData()
main_metadata.bind = main_engine
user_metadata = MetaData()

# No idea what bases are/do but nothing works without them
main_base = declarative_base(metadata = main_metadata)
user_base = declarative_base(metadata = user_metadata)

# An easy collection of user database connections
engines = {}

# Each thread gets a session based on this object
GlobalSession = scoped_session(sessionmaker(autoflush=True, autocommit=False, expire_on_commit=False))

def main_session():
    _main_session = cherrypy.request.main_dbsession
    _main_session.configure(bind=main_engine)

    return _main_session

def user_session():
    _user_session = cherrypy.request.user_dbsession
    _user_session.configure(bind = get_user_engine())

    return _user_session

def get_user_engine():

    # Get dburi from the users instance
    dburi = cherrypy.session['auth']['user'].instance.database

    # Store this engine for future use
    if dburi in engines:
        engine = engines.get(dburi)
    else:
        engine = engines[dburi] = create_engine(defaultschema = False, schema = dburi)

    # Return Engine
    return engine


def get_user_metadata():
    user_metadata.bind = get_user_engine()
    return user_metadata

# open a new session for the life of the request
def open_dbsession():
    cherrypy.request.user_dbsession = cherrypy.thread_data.scoped_session_class
    cherrypy.request.main_dbsession = cherrypy.thread_data.scoped_session_class
    return

# close the session for this request
def close_dbsession():
    if hasattr(cherrypy.request, "user_dbsession"):
        try:
            cherrypy.request.user_dbsession.flush()
            cherrypy.request.user_dbsession.remove()
            del cherrypy.request.user_dbsession
        except:
            pass
    if hasattr(cherrypy.request, "main_dbsession"):
        try:
            cherrypy.request.main_dbsession.flush()
            cherrypy.request.main_dbsession.remove()
            del cherrypy.request.main_dbsession
        except:
            pass

    return

# initialize the session factory class for the selected thread
def connect(thread_index):
    cherrypy.thread_data.scoped_session_class = scoped_session(sessionmaker(autoflush=True, autocommit=False))
    return

# add the hooks to cherrypy
cherrypy.tools.dbsession_open = cherrypy.Tool('on_start_resource', open_dbsession)
cherrypy.tools.dbsession_close = cherrypy.Tool('on_end_resource', close_dbsession)
cherrypy.engine.subscribe('start_thread', connect)

Answer 1

您还可以选择从头开始为多个数据库设计的ORM，例如Dejavu。

Answer 2

看看这个：

http://pythonhosted.org/Flask-SQLAlchemy/binds.html

基本上，它建议您为每个连接使用绑定参数。也就是说，这似乎有点像黑客。

这个问题在答案中有更多细节：

With sqlalchemy how to dynamically bind to database engine on a per-request basis

尽管如此，这个问题和引用的问题都不是最新的问题，而且sqlalchemy可能会从此开始。

如何在Cherrypy和SQLAlchemy中的同一请求中使用多个数据库？

2 个答案: