Using Domain Types in Ent Schema
PostgreSQL domain types are user-defined data types that extend existing ones, allowing you to add constraints that restrict the values they can hold. Setting a field type as a domain type enables you to enforce data integrity and validation rules at the database level.
This guide explains how to define a schema field type as a domain type in your Ent schema and configure the schema migration to manage both the domains and the Ent schema as a single migration unit using Atlas.
Atlas support for Domain Types is available exclusively to Pro users. To use this feature, run:
atlas login
Install Atlas
To install the latest release of Atlas, simply run one of the following commands in your terminal, or check out the Atlas website:
- macOS + Linux
- Homebrew
- Docker
- Windows
curl -sSf https://atlasgo.sh | sh
brew install ariga/tap/atlas
docker pull arigaio/atlas
docker run --rm arigaio/atlas --help
If the container needs access to the host network or a local directory, use the --net=host
flag and mount the desired directory:
docker run --rm --net=host \
-v $(pwd)/migrations:/migrations \
arigaio/atlas migrate apply
--url "mysql://root:pass@:3306/test"
Download the latest release and move the atlas binary to a file location on your system PATH.
Login to Atlas
$ atlas login a8m
You are now connected to "a8m" on Atlas Cloud.
Composite Schema
An ent/schema
package is mostly used for defining Ent types (objects), their fields, edges and logic. Domain types, or any other database objects do not have representation in Ent models - A domain type can be defined once, and may be used multiple times in different fields and models.
In order to extend our PostgreSQL schema to include both custom domain types and our Ent types, we configure Atlas to read the state of the schema from a Composite Schema data source. Follow the steps below to configure this for your project:
- Create a
schema.sql
that defines the necessary domain type. In the same way, you can configure the domain type in Atlas Schema HCL language:
- Using SQL
- Using HCL
schema.sql
CREATE DOMAIN us_postal_code AS TEXT
CHECK(
VALUE ~ '^\d{5}$'
OR VALUE ~ '^\d{5}-\d{4}$'
);
schema.hcl
schema "public" {}
domain "us_postal_code" {
schema = schema.public
type = text
null = true
check "us_postal_code_check" {
expr = "((VALUE ~ '^\\d{5}$'::text) OR (VALUE ~ '^\\d{5}-\\d{4}$'::text))"
}
}
- In your Ent schema, define a field that uses the domain type only in PostgreSQL dialect:
ent/schema/user.go
// Fields of the User.
func (User) Fields() []ent.Field {
return []ent.Field{
field.String("postal_code").
SchemaType(map[string]string{
dialect.Postgres: "us_postal_code",
}),
}
}
note
In case a schema with custom driver-specific types is used with other databases, Ent falls back to the default type used by the driver (e.g., “varchar”).
- Create a simple
atlas.hcl
config file with acomposite_schema
that includes both your custom types defined inschema.sql
and your Ent schema:
atlas.hcl
data "composite_schema" "app" {
# Load first custom types first.
schema "public" {
url = "file://schema.sql"
}
# Second, load the Ent schema.
schema "public" {
url = "ent://ent/schema"
}
}
env "local" {
src = data.composite_schema.app.url
dev = "docker://postgres/15/dev?search_path=public"
}
Usage
After setting up our schema, we can get its representation using the atlas schema inspect
command, generate migrations for it, apply them to a database, and more. Below are a few commands to get you started with Atlas:
Inspect the Schema
The atlas schema inspect
command is commonly used to inspect databases. However, we can also use it to inspect our composite_schema
and print the SQL representation of it:
atlas schema inspect \
--env local \
--url env://src \
--format '{{ sql . }}'
The command above prints the following SQL. Note, the us_postal_code
domain type is defined in the schema before its usage in the postal_code
field:
-- Create domain type "us_postal_code"
CREATE DOMAIN "us_postal_code" AS text CONSTRAINT "us_postal_code_check" CHECK ((VALUE ~ '^\d{5}$'::text) OR (VALUE ~ '^\d{5}-\d{4}$'::text));
-- Create "users" table
CREATE TABLE "users" ("id" bigint NOT NULL GENERATED BY DEFAULT AS IDENTITY, "postal_code" "us_postal_code" NOT NULL, PRIMARY KEY ("id"));
Generate Migrations For the Schema
To generate a migration for the schema, run the following command:
atlas migrate diff \
--env local
Note that a new migration file is created with the following content:
migrations/20240712090543.sql
-- Create domain type "us_postal_code"
CREATE DOMAIN "us_postal_code" AS text CONSTRAINT "us_postal_code_check" CHECK ((VALUE ~ '^\d{5}$'::text) OR (VALUE ~ '^\d{5}-\d{4}$'::text));
-- Create "users" table
CREATE TABLE "users" ("id" bigint NOT NULL GENERATED BY DEFAULT AS IDENTITY, "postal_code" "us_postal_code" NOT NULL, PRIMARY KEY ("id"));
Apply the Migrations
To apply the migration generated above to a database, run the following command:
atlas migrate apply \
--env local \
--url "postgres://postgres:pass@localhost:5432/database?search_path=public&sslmode=disable"
Apply the Schema Directly on the Database
Sometimes, there is a need to apply the schema directly to the database without generating a migration file. For example, when experimenting with schema changes, spinning up a database for testing, etc. In such cases, you can use the command below to apply the schema directly to the database:
atlas schema apply \
--env local \
--url "postgres://postgres:pass@localhost:5432/database?search_path=public&sslmode=disable"
Or, using the Atlas Go SDK:
ac, err := atlasexec.NewClient(".", "atlas")
if err != nil {
log.Fatalf("failed to initialize client: %w", err)
}
// Automatically update the database with the desired schema.
// Another option, is to use 'migrate apply' or 'schema apply' manually.
if _, err := ac.SchemaApply(ctx, &atlasexec.SchemaApplyParams{
Env: "local",
URL: "postgres://postgres:pass@localhost:5432/database?search_path=public&sslmode=disable",
}); err != nil {
log.Fatalf("failed to apply schema changes: %w", err)
}
The code for this guide can be found in GitHub.