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Activepieces uses TypeORM as its database driver in Node.js. We support two database types across different editions of our platform. The database migration files contain both what to do to migrate (up method) and what to do when rolling back (down method).
Read more about TypeORM migrations here: https://orkhan.gitbook.io/typeorm/docs/migrations

Database Support

  • PostgreSQL
  • PGlite
Why Do we have PGlite? We support PGlite to simplify development and self-hosting. It’s particularly helpful for:
  • Developers creating pieces who want a quick setup
  • Self-hosters using platforms to manage docker images but doesn’t support docker compose.
PGlite is a lightweight PostgreSQL implementation that runs embedded, so migrations are compatible with PostgreSQL.

Editions

  • Enterprise & Cloud Edition (Must use PostgreSQL)
  • Community Edition (Can use PostgreSQL or PGlite)

How To Generate

1

Setup AP_DB_TYPE

Set the AP_DB_TYPE environment variable to POSTGRES after making sure have latest state by running Activepieces first.
2

Generate Migration

Run the migration generation command:
Replace <MIGRATION_NAME> with a descriptive name for your migration.
3

Update Migration File

The command will generate a new migration file in packages/server/api/src/app/database/migration/postgres/.The generated file uses MigrationInterface — you need to update it:
  1. Change implements MigrationInterface to implements Migration
  2. Update the import from typeorm to import Migration from ../../migration
  3. Add breaking = false (or true if the migration drops columns/tables or transforms data irreversibly)
  4. Add release = '<version>' matching the upcoming release version (check package.json in the repo root)
  5. Implement the down() method with queries that reverse the up() changes (unless breaking = true)
  6. Register it in postgres-connection.ts
CI will fail if breaking, release, or down() are missing on new migrations.

PGlite Compatibility

While PGlite is mostly PostgreSQL-compatible, some features are not supported. When using features like CONCURRENTLY for index operations, you need to conditionally handle PGlite:
CREATE INDEX CONCURRENTLY and DROP INDEX CONCURRENTLY are not supported in PGlite because PGLite is a single user/connection database. Always add a check for PGlite when using these operations.
Always test your migrations by running them both up and down to ensure they work as expected.

Cleaning Up After a Background Migration

A background migration often leaves temporary code behind: a fallback read from the old shape, a dual write, a legacy column or index, special handling until the backfill finishes. Plan its removal when the migration ships, not later.
1

Open a Linear ticket when the migration merges

Create a ticket assigned to the migration’s owner (the author of the PR that adds it). Name the migration and the target releases in the title, for example “Remove the piece_metadata.i18n fallback after BackfillPieceTranslation (code 0.97.0, column 0.98.0)”.In the body, list every piece of code and schema that becomes removable (symbol and file), link the migration PR, and copy in the two steps below. Link the ticket from the migration PR’s description.
2

Remove the code in release N+4 or later

N is the minor version in the migration’s release field, so release = '0.93.0' means the code goes in 0.97.0 or later. We support the latest five releases, so once N+4 is the newest, every supported release (N to N+4) already ships the backfill. N+3 is too early, because N-1 is still supported then.Ship code only. Remove the fallbacks and dual writes, take the field off the entity, and add a blocking migration whose up() only calls migrationHelpers.assertBackgroundMigrationComplete(...). That guard makes an older install that skips releases run the backfill at boot before it serves traffic.
3

Drop the schema in release N+5 or later

Drop the column, table or index in release N+5 or later, and always at least one release after the code removal, in a blocking migration guarded the same way, with breaking = true. For release = '0.93.0' that is 0.98.0 or later. A dropped column is a technical breaking change: it needs the ⛓️‍💥 breaking-change label and an entry in docs/install/reference/breaking-changes-unreleased.mdx.
Never remove the code and drop the schema in the same release. A Cloud rollback runs the previous image on the new schema and does not run down(), so the previous release must already work without the dropped object. If it still reads the old column, every request that touches it fails after the rollback.