To clarify my environment. I have a VM (Linux Redhat) which has MySQL server running on it. My script runs locally on the same machine. It is a simple script that is doing a insert many after processing/parsing a csv file. I don't have any web apps or anything of that nature.
On Monday, April 1, 2013 7:04:48 PM UTC-7, [email protected] wrote: > > I am using the sqlalchemy package in python. I have an operation that > takes some time to execute after I perform an autoload on an existing > table. This causes the following error when I attempt to use the connection: > > sqlalchemy.exc.OperationalError: (OperationalError) (2006, 'MySQL server has > gone away') > > I have a simple utility function that performs an insert many: > > def insert_data(data_2_insert, table_name): > engine = create_engine('mysql://blah:blah123@localhost/dbname') > # Metadata is a Table catalog. > metadata = MetaData() > table = Table(table_name, metadata, autoload=True, autoload_with=engine) > for c in mytable.c: > print c > column_names = tuple(c.name for c in mytable.c) > final_data = [dict(zip(column_names, x)) for x in data_2_insert] > ins = mytable.insert() > conn = engine.connect() > conn.execute(ins, final_data) > conn.close() > > > It is the following line that times long time to execute since > 'data_2_insert' has 677,161 rows. > > final_data = [dict(zip(column_names, x)) for x in data_2_insert] > > I came across the following post below which refers to a similar problem, > however I am not sure how to implement the connection management suggested > as I am quite a newbie. > > http://stackoverflow.com/questions/3033234/handle-mysql-restart-in-sqlalchemy > > Note for SQLAlchemy 0.7 - PoolListener is deprecated, but The same solution > can be implemented using the new event system. – robots.jpg > > Here is the link to the new event system described by one of the users: > > http://docs.sqlalchemy.org/en/latest/core/pooling.html#disconnect-handling-pessimistic > > If someone can please show me a couple of pointers on how I could go about > integrating the suggestions into the way I use sqlalchemy I would be very > appreciative. Thank you. > > > > > > > > -- You received this message because you are subscribed to the Google Groups "sqlalchemy" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at http://groups.google.com/group/sqlalchemy?hl=en. For more options, visit https://groups.google.com/groups/opt_out.
