Declarative database schemas
Manage your database schemas in one place and generate versioned migrations.
Overview
Declarative schemas allow you to reduce code duplications in managing schema migrations. As your database schema evolves over time, declaring it in one place will help you iterate faster by referring to a single source of truth.
Schema migrations
Schema migrations are SQL statements written in Data Definition Language. They are versioned in your supabase/migrations
directory to ensure schema consistency between local and remote environments.
Declaring your schema
Create your first schema file
Create a SQL file in supabase/schemas
directory that defines an employees
table.
1234create table "employees" ( "id" integer not null, "name" text);
Generate a migration file
Generate a migration file by diffing against your declared schema.
1supabase db diff -f create_employees_table
Make sure your local database is stopped before diffing your schema.
Start the local database
The new migration file will be used when starting the database locally so you can validate your schema using the local Dashboard.
1supabase start
Updating your schema
Stop the local database
Before updating your schema files, stop the local development environment.
1supabase stop
Add a new column
Edit supabase/schemas/employees.sql
file to add a new column to employees
table.
12345create table "employees" ( "id" integer not null, "name" text, "age" smallint not null);
Some entities like views and enums expect columns to be declared in a specific order. To avoid messy diffs, always append new columns to the end of the table.
Generate a new migration
Diff existing migrations against your declared schema.
1supabase db diff -f add_age
Review the generated migration
Verify that the generated migration contain a single incremental change.
1alter table "public"."employees" add column "age" smallint not null;
Apply the pending migration
Start the database locally and apply the pending migration.
1supabase start && supabase migration up
Managing dependencies
As your database schema evolves, you will probably start using more advanced entities like views and functions. These entities are notoriously verbose to manage using plain migrations because the entire body must be recreated whenever there is a change. Using declarative schema, you can now edit them in-place so it’s much easier to review.
12345678910111213141516create table "employees" ( "id" integer not null, "name" text, "age" smallint not null);create view "profiles" as select id, name from "employees";create function "get_age"(employee_id integer) RETURNS smallint LANGUAGE "sql"AS $$ select age from employees where id = employee_id;$$;
Your schema files are run in lexicographic order by default. The order is important when you have foreign keys between multiple tables as the parent table must be created first. For example, your supabase
directory may end up with the following structure.
123456789.└── supabase/ ├── schemas/ │ ├── employees.sql │ └── managers.sql └── migrations/ ├── 20241004112233_create_employees_table.sql ├── 20241005112233_add_employee_age.sql └── 20241006112233_add_managers_table.sql
For small projects with only a few tables, the default schema order may be sufficient. However, as your project grows, you might need more control over the order in which schemas are applied. To specify a custom order for applying the schemas, you can declare them explicitly in config.toml
. Any glob patterns will evaluated, deduplicated, and sorted in lexicographic order. For example, the following pattern ensures employees.sql
is always executed first.
12345[db.migrations]schema_paths = [ "./schemas/employees.sql", "./schemas/*.sql",]
Pulling in your production schema
To set up declarative schemas on a existing project, you can pull in your production schema by running:
1supabase db dump > supabase/schemas/prod.sql
From there, you can start breaking down your schema into smaller files and generate migrations. You can do this all at once, or incrementally as you make changes to your schema.
Rolling back a schema change
During development, you may want to rollback a migration to keep your new schema changes in a single migration file. This can be done by resetting your local database to a previous version.
1supabase db reset --version 20241005112233
After a reset, you can edit the schema and regenerate a new migration file. Note that you should not reset a version that's already deployed to production.
If you need to rollback a migration that's already deployed, you should first revert changes to the schema files. Then you can generate a new migration file containing the down migration. This ensures your production migrations are always rolling forward.
SQL statements generated in a down migration are usually destructive. You must review them carefully to avoid unintentional data loss.
Known caveats
The migra
diff tool used for generating schema diff is capable of tracking most database changes. However, there are edge cases where it can fail.
If you need to use any of the entities below, remember to add them through versioned migrations instead.
Data manipulation language
- DML statements such as
insert
,update
,delete
, etc., are not captured by schema diff
View ownership
- view owner and grants
- security invoker on views
- materialized views
- doesn’t recreate views when altering column type
RLS policies
Other entities
- schema privileges are not tracked because each schema is diffed separately
- comments are not tracked
- partitions are not tracked
alter publication ... add table ...
- create domain statements are ignored
- grant statements are duplicated from default privileges