分叉，sqlalchemy和作用域会话

Question

I'm getting the following error (which I assume is because of the forking in my application), "This result object does not return rows".

Traceback
---------
File "/opt/miniconda/envs/analytical-engine/lib/python2.7/site-packages/dask/async.py", line 263, in execute_task
result = _execute_task(task, data)
File "/opt/miniconda/envs/analytical-engine/lib/python2.7/site-packages/dask/async.py", line 245, in _execute_task
return func(*args2)
File "/opt/miniconda/envs/analytical-engine/lib/python2.7/site-packages/smg/analytics/services/impact_analysis.py", line 140, in _do_impact_analysis_mp
 Correlation.user_id.in_(user_ids)).all())
File "/opt/miniconda/envs/analytical-engine/lib/python2.7/site-packages/sqlalchemy/orm/query.py", line 2241, in all
return list(self)
File "/opt/miniconda/envs/analytical-engine/lib/python2.7/site-packages/sqlalchemy/orm/loading.py", line 65, in instances
fetch = cursor.fetchall()
File "/opt/miniconda/envs/analytical-engine/lib/python2.7/site-packages/sqlalchemy/engine/result.py", line 752, in fetchall
self.cursor, self.context)
File "/opt/miniconda/envs/analytical-engine/lib/python2.7/site-packages/sqlalchemy/engine/base.py", line 1027, in _handle_dbapi_exception
util.reraise(*exc_info)
File "/opt/miniconda/envs/analytical-engine/lib/python2.7/site-packages/sqlalchemy/engine/result.py", line 746, in fetchall
l = self.process_rows(self._fetchall_impl())
File "/opt/miniconda/envs/analytical-engine/lib/python2.7/site-packages/sqlalchemy/engine/result.py", line 715, in _fetchall_impl
self._non_result()
File "/opt/miniconda/envs/analytical-engine/lib/python2.7/site-packages/sqlalchemy/engine/result.py", line 720, in _non_result
"This result object does not return rows. "

I'm using dask and it's multiprocessing scheduler (which uses multiprocessing.Pool ). As I understand it (based on the documentation), sessions created from a scoped session object (created via scoped_session() ), are threadsafe. This is because they are threadlocal. This would lead me to believe that when I call Session() (or using the proxy Session ) I'm getting a session object that only exists and is only accessible from the thread it was called from. This seems pretty straight forward.

What I am confused about, is what is why I'm having issues when forking the process. I understand that you can't re-use an engine across processes, so I've followed the event-based solution verbatim from the docs and done this:

class _DB(object):

    _engine = None

    @classmethod
    def _get_engine(cls, force_new=False):
        if cls._engine is None or force_new is True:
            cfg = Config.get_config()
            user = cfg['USER']
            host = cfg['HOST']
            password = cfg['PASSWORD']
            database = cfg['DATABASE']
            engine = create_engine(
                'mysql://{}:{}@{}/{}?local_infile=1&'
                'unix_socket=/var/run/mysqld/mysqld.sock'.
                    format(user, password, host, database),
                pool_size=5, pool_recycle=3600)
            cls._engine = engine
        return cls._engine



# From the docs, handles multiprocessing
@event.listens_for(_DB._get_engine(), "connect")
def connect(dbapi_connection, connection_record):
    connection_record.info['pid'] = os.getpid()

#From the docs, handles multiprocessing
@event.listens_for(_DB._get_engine(), "checkout")
def checkout(dbapi_connection, connection_record, connection_proxy):
    pid = os.getpid()
    if connection_record.info['pid'] != pid:
        connection_record.connection = connection_proxy.connection = None
        raise exc.DisconnectionError(
            "Connection record belongs to pid %s, "
            "attempting to check out in pid %s" %
            (connection_record.info['pid'], pid)
        )


# The following is how I create the scoped session object.

Session = scoped_session(sessionmaker(
    bind=_DB._get_engine(), autocommit=False, autoflush=False))

Base = declarative_base()
Base.query = Session.query_property()

So my assumptions (based on the docs) are the following:

1. Using a session object created from a scoped session object, it must always give me a threadlocal session (which in my case would just be the main thread of the child process). Although not in the docs I imagine this should apply even if the scoped session object was created in another process.

2. The threadlocal session will get a connection from the pool via the engine, if the connection was not created within this process it will create a new one (based on the above connection() and checkout() implementations.)

If both of these things were true, then everything should "just work" (AFAICT). That's not the case though.

I managed to get it to work by creating a new scoped session object in each new process, and using it in all subsequent calls using a session.

BTW the Base.query attribute needed to be updated from this new scoped session object as well.

I imagine that my #1 assumption above is incorrect. Can anyone help me understand why I need to create a new scoped session object in each process?

Cheers.

Answer 1

It is not clear when your fork happens but the most common issue is that the engine is created before the fork, which initializes a TCP connections to the database with your pool_size=5 which then gets copied over to the new processes and results in multiple processes interacting with the same physical sockets => troubles.

Options are to:

• Disable the pool and use an on demand connection: poolclass= NullPool
• Re-create the pool after fork: sqla_engine. dispose()
• Delay the create_engine until after the fork