I'm using SA (with SQLite) with a schema like: A -< B -< C -< D
where -< means that the tables have a one to many relationship I'm populating a sample data set where there are 25 rows in A, 25 rows in B for each row in A, 25 rows in C for each row in B and 25 rows in D for each row in C. This results in about 390k rows in D. The database itself is only about 12 MB, but it takes a long time (several minutes) to write the data to the file. I'm taking the approach of appending items to the table's relationship column. for i in range(25): x = A() session.add(A) for j in range(25): y = B() x.b.append(y) for k in range(25): z = C() y.c.append(z) for l in range(25): xx = D() z.d.append(xx) session.flush() The bulk of the delay seems to be the session.flush call. I'm using the Pyramid framework which used Python's transaction module. I call transaction.begin() prior to adding the rows. According to the SQLite FAQ, this should speed things up. Are there any suggestions on how to speed things up? Thanks, Mark -- You received this message because you are subscribed to the Google Groups "sqlalchemy" group. To post to this group, send email to sqlalchemy@googlegroups.com. To unsubscribe from this group, send email to sqlalchemy+unsubscr...@googlegroups.com. For more options, visit this group at http://groups.google.com/group/sqlalchemy?hl=en.