zulip/docs/subsystems/schema-migrations.md

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# Schema Migrations
Zulip uses the [standard Django system for doing schema
migrations](https://docs.djangoproject.com/en/1.10/topics/migrations/).
There is some example usage in the [new feature
tutorial](../tutorials/new-feature-tutorial.html).
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This page documents some important issues related to writing schema
migrations.
* **Naming**: Please provide clear names for new database migrations
(e.g. `0072_realmauditlog_add_index_event_time.py`). Since in the
Django migrations system, the filename is the name for the
migration, this just means moving the migration file to have a
reasonable name. Note that `tools/test-migrations` will fail in
Travis CI if a migration has bad name of the form
`0089_auto_20170710_1353.py`, which are what Django generates
automatically for nontrivial database schema changes.
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* **Large tables**: For large tables like Message and UserMessage, you
want to take precautions when adding columns to the table,
performing data backfills, or building indexes. We have a
`zerver/lib/migrate.py` library to help with adding columns and
backfilling data. For building indexes on these tables, we should do
this using SQL with postgres's CONCURRENTLY keyword.
* **Numbering conflicts across branches**: If you've done your schema
change in a branch, and meanwhile another schema change has taken
place, Django will now have two migrations with the same number. To
fix this, you can either run `./tools/renumber-migrations` which
renumbers your migration(s) and fixes up the "dependencies" entries in your
migration(s), and then rewrite your git history as needed, or you can do it
manually. There is a tutorial [here](migration-renumbering.html) that
walks you though that process.
* **Atomicity**. By default, each Django migration is run atomically
inside a transaction. This can be problematic if one wants to do
something in a migration that touches a lot of data and would best
be done in batches of e.g. 1000 objects (e.g. a `Message` or
`UserMessage` table change). There is a new Django feature added in
[Django 1.10][migrations-non-atomic] that makes it possible to add
`atomic=False` at the top of a `Migration` class and thus not have
the entire migration in a transaction. This should make it possible
to use the batch update tools in `zerver/lib/migrate.py` (originally
written to work with South) for doing larger database migrations.
* **Accessing code and models in RunPython migrations**. When writing
a migration that includes custom python code (aka `RunPython`), you
almost never want to import code from `zerver` or anywhere else in
the codebase. If you imagine the process of upgrading a Zulip
server, it goes as follows: first a server admin checks out a recent
version of the code, and then runs any migrations that were added
between the last time they upgraded and the current check out. Note
that for each migration, this means the migration is run using the
code in the server admin's check out, and not the code that was there at the
time the migration was written. This can be a difference of
thousands of commits for installations that are only upgraded
occasionally. It is hard to reason about the effect of a code change
on a migration that imported it so long ago, so we recommend just
copying any code you're tempted to import into the migration file
directly, and have a linter rule enforcing this.
There is one special case where this doesn't work: you can't copy
the definition of a model (like `Realm`) into a migration, and you
can't import it from `zerver.models` for the reasons above. In this
situation you should use Django's `apps.get_model` to get access to
a model as it is at the time of a migration. Note that this will
work for doing something like `Realm.objects.filter(..)`, but
shouldn't be used for accessing `Realm.subdomain` or anything not
related to the Django ORM.
* **Making large migrations work**. Major migrations should have a
few properties:
* **Unit tests**. You'll want to carefully test these, so you might
as well write some unit tests to verify the migration works
correctly, rather than doing everything by hand. This often saves
a lot of time in re-testing the migration process as we make
adjustments to the plan.
* **Run in batches**. Updating more than 1K-10K rows (depending on
type) in a single transaction can lock up a database. It's best
to do lots of small batches, potentially with a brief sleep in
between, so that we don't block other operations from finishing.
* **Rerunnability/idempotency**. Good migrations are ones where if
operational concerns (e.g. it taking down the Zulip server for
users) interfere with it finishing, it's easy to restart the
migration without doing a bunch of hand investigation. Ideally,
the migration can even continue where it left off, without needing
to redo work.
* **Multi-step migrations**. For really big migrations, one wants
to split the transition into into several commits that are each
individually correct, and can each be deployed independently:
1. First, do a migration to add the new column to the Message table
and start writing to that column (but don't use it for anything)
2. Second, do a migration to copy values from the old column to
the new column, to ensure that the two data stores agree.
3. Third, a commit that stops writing to the old field.
4. Any cleanup work, e.g. if the old field were a column, we'd do
a migration to remove it entirely here.
This multi-step process is how most migrations on large database
tables are done in large-scale systems, since it ensures that the
system can continue running happily during the migration.
## Automated testing for migrations
Zulip has support for writing automated tests for your database
migrations, using the `MigrationsTestCase` test class. This system is
inspired by [a great blog post][django-migration-test-blog-post] on
the subject.
We have integrated this system with our test framework so that if you
use the `use_db_models` decorator, you can use some helper methods
from `test_classes.py` and friends from inside the tests (which is
normally not possible in Django's migrations framework).
If you find yourself writing logic in a `RunPython` migration, we
highly recommend adding a test using this framework. We may end up
deleting the test later (they can get slow once they are many
migrations away from current), but it can help prevent disaster where
an incorrect migration messes up a database in a way that's impossible
to undo without going to backups.
[django-migration-test-blog-post]: https://www.caktusgroup.com/blog/2016/02/02/writing-unit-tests-django-migrations/
[migrations-non-atomic]: https://docs.djangoproject.com/en/1.10/howto/writing-migrations/#non-atomic-migrations