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Ruby on Rails ActiveRecord PostgreSQL Data Integrity and Validations

 
Ruby on Rails data integrity represented by wood

Most Ruby developers work with Rails and Active Record for PostgreSQL database interactions. It provides a ton of magic and is simple to start with. Data integrity problems start creeping up once the code base and database structure gets older. In this tutorial, I will describe a couple of techniques for ensuring data integrity and validation in Ruby on Rails web apps.

Your Rails app data integrity can get out of sync for various reasons. Active Record approach to database modeling encourages a developer to keep most of the logic in the app layer Ruby code. Let’s list some example actions that could corrupt your data state:

  • update object attribute using update_column method
  • delete a parent object of an association with delete
  • persist an object with save(validate: false)
  • change model validations without updating the current data
  • concurrent data updates bypassing uniqueness validations

Rails is not making it easy. Data in an invalid state might bite you very hard eg. when running a migration that would raise an exception in case of a validation error.

How to “Brute-force” detect validation errors

I want to share a dirty hack I’ve recently come up with. It might seem obvious and resorting to it look like a signal of a very poor codebase quality but bear with me.

It’s a Sidekiq worker class:

class ModelDataIntegrityCheckerJob
  include Sidekiq::Worker
  sidekiq_options retry: false

  def perform(klass_name)
    klass = klass_name.constantize
    invalid_objects = []

    klass.find_each do |object|
      unless object.valid?
        invalid_objects << [object.id, object.errors.full_messages]
      end
    end

    if invalid_objects.present?
      raise "Invalid state for #{klass} objects: #{invalid_objects}"
    end

    invalid_objects
  end
end

You can use it like that:

    ModelDataIntegrityCheckerJob.perform_async(User.name)
    ModelDataIntegrityCheckerJob.perform_async(Course.name)

It will raise a runtime error with IDs of invalid objects from a given class. In turn you can fix them or corresponding validations manually. If your dataset is big, you might want to run those jobs at night or scope the range of objects validated.

It would seem like the brute force approach is not a perfect solution to validating data integrity. But can you with 100% certainty tell that every single one of your ActiveRecord objects is currently valid?

I sometimes run those brute force checks before doing more complex database migrations to ensure that some sneaky invalid objects won’t blow up during the process. I like to think of them as a periodical data validation health checks.

Let’s list a couple of more elegant techniques you can use to keep your app’s data in a more integrated and valid state.

NOT NULL constraints

“Non-binary logic” is a frequent guest in Ruby on Rails apps. I’ve seen many nasty bugs caused by a simple fact that:

false != nil

Sometimes the business logic itself was dependent on the fact nil in a database meant something else than false… (╯°□°)╯︵ ┻━┻

Adding a boolean field without a NOT NULL constraint is a ticking bomb. Make sure to update all the boolean fields in your database using the following migration:

  change_column_default :users, :boolean_attribute, false
  change_column_null    :users, :boolean_attribute, false

Database foreign key constraints

Database level constraints are not a first-class citizen in Rails apps. You can create a database relation without adding a corresponding foreign key, and Active Record will work correctly. Building a database schema without enforcing it using built-in PostgreSQL mechanisms can lead to various issues down the road. It is usually a good idea to add a foreign key constraint when creating has_many/belongs_to relation.

I always prefer to explicitly add foreign key, column, and indexes, instead of using add_reference helper method. There’s enough magic in Active Record already.

Adding posts relation to User model can be done using the following migration:

add_column :posts, user_id: :integer, null: false
add_index :posts, :user_id
add_foreign_key :posts, :users, column: :user_id

With this database structure, it will be impossible to leave orphaned post records in the database. Trying to remove a user, who still has some posts will result in an ActiveRecord::InvalidForeignKey error.

To “delete cascade” or “dependent destroy” ?

We can ensure removing the children records when the parent is destroyed using Active Record callback (with dependent: :destroy has_many method option) or directly in the database. Adding on_delete: :cascade to add_foreign_key method will remove children using database level triggers. It will be much better in terms of performance but would not execute ActiveRecord callbacks for removed posts.

Despite all the hate those callbacks get they are still useful in certain cases. One example could be a well-known Carrierwave gem. It uses callbacks to remove associated files when an object is destroyed. Removing objects using on_delete: :cascade approach would result in orphaned files stuck forever without any reference on S3 or wherever you keep them.

My approach would be to use foreign keys for ensuring integrity, but stick with dependent: :destroy for removing objects. Skipping callbacks could lead to surprising behavior if you are riding on Active Record for PostgreSQL interactions.

Summary

This post just scratches the surface of the complex topic of data integrity and validation in Ruby on Rails web apps. Active Record is a powerful tool that makes creating complex database schemas just too easy, without forcing developers to think about how it works under the hood. Moving at least some of the rules to database level is a good starting point to keeping your Rails apps healthy in the long run.



Pawel Urbanek Full Stack Ruby on Rails developer avatar

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