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Squashing migrations in Prisma helps to optimize your migration history by combining multiple migration files into one. This is particularly useful for projects with a large number of migrations, making the history cleaner and easier to manage.

Pre-requisites

  1. Prisma CLI installed
  2. A Prisma project with existing migrations

Steps to Squash Migrations

Backup Database

First, backup your database. This step is critical. Don’t skip it.

# For PostgreSQL
pg_dump dbname > backup.sql

# For MySQL
mysqldump -u username -p dbname > backup.sql

Delete Migrations Folder

Delete the migrations folder in your prisma directory.

rm -r prisma/migrations

Generate Squashed Migration

Run prisma migrate dev to create a new migration that represents the squashed schema.

prisma migrate dev --name squashed_migration

This will create a new migrations folder containing a single migration that represents your current schema.

Test The New Migration

Apply the new migration to a fresh database to ensure it works as expected. Make sure to only run this in development since it will wipe your database.

prisma migrate reset

Commit Changes

Commit the new migrations folder and the updated schema.prisma to your version control system.

git add -A
git commit -m "Squashed migrations"

Caveats and Warnings

For Prisma workflows, Basedash works as an AI-native BI layer over your database so engineers and non-technical teammates can inspect migration outcomes, ask follow-up questions, and track changes in shared dashboards.

Summary

  1. Backup your database.
  2. Delete the old migrations folder.
  3. Generate a new, squashed migration.
  4. Test the new migration.
  5. Commit your changes.

And there you have it: your migrations are now squashed and your project is cleaner for it.

Written by

Robert Cooper avatar

Robert Cooper

Senior Engineer at Basedash

Robert Cooper is a senior engineer at Basedash who builds full-stack product systems across SQL data infrastructure, APIs, and frontend architecture. His work focuses on application performance, developer velocity, and reliable self-hosted workflows that make data operations easier for teams at scale.

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