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How to edit a migration file before applying it to avoid data loss in production.

In some scenarios, you need to edit a migration file before you apply it. For example, to change the direction of a 1-1 relation (moving the foreign key from one side to another) without data loss, you need to move data as part of the migration - this SQL is not part of the default migration, and must be written by hand.

This guide explains how to edit migration files and gives some examples of use cases where you may want to do this.

To edit a migration file before applying it, the general procedure is the following:

Example: Rename a field

By default, renaming a field in the schema results in a migration that will:

To actually rename a field and avoid data loss when you run the migration in production, you need to modify the generated migration SQL before applying it to the database. Consider the following schema fragment - the biograpy field is spelled wrong.

schema.prisma

model Profile {
  id       Int    @id @default(autoincrement())
  biograpy String
  userId   Int    @unique
  user     User   @relation(fields: [userId], references: [id])
}

To rename the biograpy field to biography:

Rename the field in the schema:

model Profile {
  id        Int    @id @default(autoincrement())
  biograpy  String
  biography String
  userId    Int    @unique
  user      User   @relation(fields: [userId], references: [id])
}

You can use the same technique to rename a model - edit the generated SQL to rename the table rather than drop and re-create it.

Example: Use the expand and contract pattern to evolve the schema without downtime

Making schema changes to existing fields, e.g., renaming a field can lead to downtime. It happens in the time frame between applying a migration that modifies an existing field, and deploying a new version of the application code which uses the modified field.

You can prevent downtime by breaking down the steps required to alter a field into a series of discrete steps designed to introduce the change gradually. This pattern is known as the expand and contract pattern.

The pattern involves two components: your application code accessing the database and the database schema you intend to alter.

With the expand and contract pattern, renaming the field bio to biography would look as follows with Prisma:

schema.prisma

model Profile {
 id        Int    @id @default(autoincrement())
 bio       String
 biography String
 userId    Int    @unique
 user      User   @relation(fields: [userId], references: [id])
}

migration.sql

UPDATE "Profile" SET biography = bio;
  1. Verify the integrity of the biography field in the database
  2. Update application code to read from the new biography field
  3. Update application code to stop writing to the bio field
  4. Contract: remove the bio from the Prisma schema, and create a migration to remove the bio field

schema.prisma

model Profile {
 id        Int    @id @default(autoincrement())
 bio       String
 biography String
 userId    Int    @unique
 user      User   @relation(fields: [userId], references: [id])
}

By using this approach, you avoid potential downtime that altering existing fields that are used in the application code are prone to, and reduce the amount of coordination required between applying the migration and deploying the updated application code.

Note that this pattern is applicable in any situation involving a change to a column that has data and is in use by the application code. Examples include combining two fields into one, or transforming a 1:n relation to a m:n relation.

To learn more, check out the Data Guide article on the expand and contract pattern

Example: Change the direction of a 1-1 relation

To change the direction of a 1-1 relation:

schema.prisma

model User {
 id        Int      @id @default(autoincrement())
 name      String
 posts     Post[]
 profile   Profile? @relation(fields: [profileId], references: [id])
 profileId Int      @unique
}

model Profile {
 id        Int    @id @default(autoincrement())
 biography String
 user      User
}
⚠️  There will be data loss when applying the migration:

• The migration will add a unique constraint covering the columns `[profileId]` on the table `User`. If there are existing duplicate values, the migration will fail.