Since you have the FK relationships you will need to do three queries from the bottom up filename, image, sourcecat. If you have not already I would take a look at Pandas IO functions:
my question might not be specific for psycopg mailing list, but since I'm interfacing PostgreSQL server with python.psycopg module, I thought it'd be a good place to ask.
I have the 3 below tables created in a postgres database. As you see sourcecat has a <fk> linked to image, and image another <fk> linked to filename.
I'm trying to populate these 3 tables using python.psycopg module, since I have all the data stored in FITS binary files, and I want to have such data well formalized in a relational db such as postgres.
Assuming I have all rows from these 3 tables stored in numpy arrays, is there any way to insert them in a single cur.execute() command?
If a single cur.execute()/SQL command is not possible, which would be the commands sequence?
Since you have the FK relationships you will need to do three queries from the bottom up filename, image, sourcecat. If you have not already I would take a look at Pandas IO functions:
