Database schema evolution¶
The Sqlite database itself does not support migration of existing data very well, and as a result migration is only possible on PostgreSQL databases. See these posts for more information on the issue: one of the last bullets of goals of alembic and Christopher Webber’s rant about the issue.
Once your application is running in production you may want to develop a new version. If code changes in the new version require changes to the database schema, you need to migrate the current database to preserve its data.
A migration example¶
In order to simulate a program that changes over time, the tutorial.migrationexamplebootstrap example contains an extra added_date column in Address. This code is commented out to make it possible to run the application with a database schema that does not include added_date at first. A new schema will be needed when the actual added_date is uncommented.
class Address(Base): __tablename__ = 'migrationbootstrap_address' id = Column(Integer, primary_key=True) email_address = Column(UnicodeText) name = Column(UnicodeText) # added_date = Column(DateTime) added_date = 'TODO' @exposed def fields(self, fields): fields.name = Field(label='Name', required=True) fields.email_address = EmailField(label='Email', required=True) def save(self): self.added_date = datetime.now() Session.add(self) @exposed def events(self, events): events.save = Event(label='Save', action=Action(self.save))
To try it out, do:
reahl example tutorial.migrationexamplebootstrap cd migrationexamplebootstrap reahl setup -- develop -N reahl createdbtables etc reahl demosetup
Doing all of this simulates an application that ran somewhere for a while, with some data in its database.
Now change the application:
- comment out the ‘TODO’ version of added_date, and uncomment the version with the Column
- edit the .reahlproject file and increase the version of the component to 0.1
Your component has version 0.0 by default. In order to trigger a migration, you need a new, higher version.
To simulate installing the newer version, run:
reahl setup -- develop -N
After installing a new version of your component, run the following in order to migrate the old database:
reahl -l INFO migratedb etc
Migration subclass for each change that needs to be made to
the schema (and perhaps data) of the previous version.
class AddDate(Migration): version = '0.1' def schedule_upgrades(self): print('scheduling upgrades for AddDate') self.schedule('alter', op.add_column, 'migrationbootstrap_address', Column('added_date', DateTime))
Register all your
Migrations in the .reahlproject file:
<migrations> <class locator="reahl.doc.examples.tutorial.migrationexamplebootstrap.migrationexamplebootstrap:AddDate"/> </migrations>
The migratedb command checks to see which version of your component
the current database schema corresponds with. It then runs only those
Migrations needed to bring the existing schema up to date with your
Schema changes are written using the alembic.op module of SqlAlchemy’s migration tool: Alembic
A given application can consist of many components, and each of these
may have its own
Migrations. For this reason, you do not actually
call functions of
alembic.op in your
just schedule such calls to be run at the appropriate time using
execution of these calls happen only once all components had a chance
to schedule their migration calls.
Execution of these calls happen in a number of predefined phases. You schedule a call to run during a particular phase.
Phases, in order:
- Foreign keys are dropped first, because they refer to other columns.
- Primary keys are dropped next, they may also prevent other actions from completing.
- Sometimes some code needs to be executed before tables are altered – saving some data in a temporary table, for example, or disabling some other constraints.
- Now that all possible constraints have been disabled, tables and columns may be altered.
- Then, primary keys can be created again.
- Followed by indexes dependent on those primary keys.
- With a schema mostly fixed, data can be inserted or moved to new locations.
- A last chance to recreate foreign keys to possible newly moved data in the new schema.
- Use this phase if any cleanup is needed of temporary tables, etc.