Since my last article on integrating Storm with Django, I’ve merged my changes to Storm’s trunk. This missed the 0.13 release, so you’ll need to use Bazaar to get the latest trunk or wait for 0.14.

The focus since the last post was to get Storm to cooperate with Django’s built in ORM. One of the reasons people use Django is the existing components that can be used to build a site. This ranges from the included user management and administration code to full web shop implementations. So even if you plan to use Storm for your Django application, your application will most likely use Django’s ORM for some things.

When I last posted about this code, it was possible to use both ORMs in a single app, but they would use separate database connections. This had a number of disadvantages:

The two connections would be running separate transactions in parallel, so changes made by one connection would not be visible to the other connection until after the transaction was complete. This is a problem when updating records in one table that reference rows that are being updated on the other connection.

When you have more than one connection, you introduce a new failure mode where one transaction may successfully commit but the other fail, leaving you with only half the changes being recorded. This can be fixed by using two phase commit, but that is not supported by either Django or Storm at this point in time.

So it is desirable to have the two ORMs sharing a single connection. The way I’ve implemented this is as a Django database engine backend that uses the connection for a particular named per-thread store and passes transaction commit or rollback requests through to the global transaction manager. Configuration is as simple as:

DATABASE_ENGINE = 'storm.django.backend' DATABASE_NAME = 'store-name' STORM_STORES = {'store-name': 'database-uri'}

This will work for PostgreSQL or MySQL connections: Django requires some additional set up for SQLite connections that Storm doesn’t do.

Once this is configured, things mostly just work. As Django and Storm both maintain caches of data retrieved from the database though, accessing the same table with both ORMs could give unpredictable results. My code doesn’t attempt to solve this problem so it is probably best to access tables with only one ORM or the other.