I can tell you from experience that this is not the best idea, one that you will eventually regret and later, inevitably, reverse. But I know that it does come up. I've had to do them (against my will or in case of extreme emergencies).
Given the option, I'd push back on it if you can in favor of any solution that bring the SQL closer to the repository and further away from a "quick fix" to the database directly. Why?
1) Your local/testing/staging/production databases will diverge, eventually rendering your code untestable in a reliable way
2) You won't be able to regenerate your database from "scratch" to match production
3) If the database is ever clobbered, you won't be able to re-create it in any sensible way.
DBA's generally don't care about these things until something in the code breaks, and they want you to figure it out. But, for obvious reasons, that now becomes quite difficult.
One approach I have taken that seems to make everyone happy is to do the following:
1) Commit to having ALL database changes, big or small, put into a repository with the code. This means that everything that has happened to the database is all together in one place.
2) Each change, or set of changes, should be a migration. A migration can be simply running an SQL file. But, it should be run from within a migration for all the testability benefits.
So, for example, let's say you have a folder structure like:
- database_updates
-- v1
--- change_1.sql
--- change_2.sql
-- v2
--- change_3.sql
--- change_2_fix.sql
Now, let say you want to make a change or set of change via SQL. First, create a new version folder, let's call it "v1". Next, put your SQL scripts in this folder. Finally, create a migration:
def change
# Read all files in v1 folder, and run the SQL
end
(I have code that does this, happy to share the gist if you find yourself using this approach)
Since each migration is transactional, any of the scripts that fail will cause all of them to fail.
Now, let's say you have the next set, v2. Same exact thing. And, we have a history of these "versioned" changes, so we can look at the migration history and see what's been run, etc.
As a power user note, this set up also allows for recourse if things fail; in these cases, we can opt to go back to v1:
def up
# run v2 scripts
end
def down
# run v1 scripts
end
For this to work, v1 and v2 would need to be autonomous -- that is, they can destroy and rebuild entities without any dependencies. If that's not what you want, just stick with the change
method.
This would also allow you to test for breaking changes. Let's say it is reported that something doesn't work anymore with v6. You can rollback your database migrations to v5, v4, etc (because you are doing a migration per folder) and test to see when the test broke, and correct it with v7.
Anyway, the end game of it all is that you can safely check out this project from a repository, create your database, run rake db:migrate
and know that your database structure resembles exactly what is deployed elsewhere. And, worst case, if your database gets clobbered, you can just run all your scripts from v1 - vN and end up with your database back again.
For DBA's everything remains SQL for them, they can just send you a file or set of files for you to run.
If you want to get fancy, you could even write a migration generator that knows how to handle a line like rails g migration UpdateDBVersion version:v7
to take care of the repetitive boilerplate.