I'm familiar with neither Rails nor Django so I dont fully follow what you're describing. Are you just talking about the difficulty of maintaining the schema/DB mapping with the migrations ran against the DB?
I'm familiar with neither Rails nor Django so I dont fully follow what you're describing. Are you just talking about the difficulty of maintaining the schema/DB mapping with the migrations ran against the DB?
A very recent real-world challenge I ran into was having to coordinate updates and diffs to all the files involved and keeping them in sync while doing local development (before deployment but also while working on fixing a very subtle bug). Every time I changed the migration file (even to add an index), I had to remember to checkout the previous version of “structure.sql” or the migration wouldn’t be run, even during a complete DB reset (structure.sql is used to know which migrations have been run and synced with the SQL dump). Also, the schema in Ecto does not have a complete validation API, so you’ll need to do those in “changeset” functions. Overall I like Ecto, and part of me regrets letting myself get spoiled by Django’s model layer and DB tools.
Your case about structure.sql is interesting. It would be nice if we could automate it somehow but, if we simply tried to re-run a changed migration, then the migration would likely fail because the other operations in it (such as adding fields), you already exist, no?
Do you have any suggestions/ideas on how to tackle this? We could have a "mix ecto.migration.fix" that reverts the last migration, wait until you close/save the file, and migrate again, but I am not sure how useful it would be. How would Django approach this? If you auto-migrate and then do further changes, does it change the existing migration or does it generate new ones?
PS: the changeset functions are pretty much on purpose though. It is important to decouple the validation from the schema because a single schema can have several validations rules (and they can diverge overtime!).
To answer an earlier question you had, Django’s “makemigrations” command tries its best to help you avoid having to manually edit migration files; if you rename a field in models.py, it’s usually smart enough to ask you, at the command line, if you renamed it, and proceed to make the migration file for you. Of course, for advanced migrations the command can only take you so far, but again, if you’re trying to iterate quickly, you really need to experience Django’s ORM and DB tools to be able to appreciate them fully.
Regarding changesets, I love the functional API, and at the same time I wish we could automatically derive a “default_changeset” function from the schema itself for straightforward cases, and then let devs run diverging validations in their own changeset functions. Maybe an interesting idea to explore with a macro?
By the way, I’m a huge fan of your work, and hope I get the opportunity to work with Elixir for a long time. Any criticisms or comparisons are to try to bring improvements to the ecosystem I love. :)
1. You want to start discarding migrations (because you have too many) 2. You had an existing database
Are those never a "trigger" on Django side? I appreciate the opportunity to learn!
For an existing database, you can easily create django models for each table, etc. There's a --fake option to update the migration table to make it think you've applied these migrations, but not actually apply them. This convinces django you've brought the database in sync. May your deity or deities help you if you did not actually bring it in sync. I've used this quite a bit in some java ee->python migrations I've done in the past.
I do also want to add that Django can kind of do the reverse of auto-generating migrations: it can “inspect” an existing database and generate Python classes that allow you to use the Django API as if you wrote those classes yourself: https://docs.djangoproject.com/en/4.1/howto/legacy-databases...
Of course, the feature is not going to be perfect, especially if a team has been using odd naming conventions in the legacy database, but it seems helpful at least in theory.