Basically, I don't need to do anything fancy. I'm just trying to remote connect to a MySQL database, pull it into a pandas dataframe, do some work, and then I want to output that as a table, but this time, to a local database, all formatted with MySQL and using Python. I'm incredibly confused about sessions, engines, connections, and the like for SQLAlchemy, and frankly I'm not sure I really need any deep functionality. When I've done it in the past with R, it was simply a matter of explicitly closing the old connection and doing the exact same thing with a new one.
However, as far as I can tell, there's no dedicated way to close connections that I have been able to understand (for example this link went way over my head).
I really only need a single pandas.read_sql() command to retrieve a table, and a single to.sql() command to write the table. What I have so far is below.
But this is with only a single database. Where do I put some sort of disconnect statement? Can the "engines" run simultaneously? Should I be using cursor, or execute, or some sort of other type of interfacing with SQL?
hostname = "remote.server.com"username = "user"password = "pass"database = "mydb"engine = create_engine("mysql+pymysql://{user}:{pw}@{host}/{db}".format(host=hostname, db=database, user=username, pw=password))getcommand = "SELECT * FROM table"df = pd.read_sql(getcommand, engine)#work with the dfdf.to_sql(name="dbname", con=engine, if_exists="replace", index=False)