---
title: Using Composite Types in Ent Schema
id: composite
slug: composite-types
---
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In PostgreSQL, a composite type is structured like a row or record, consisting of field names and their corresponding
data types. Setting an Ent field as a composite type enables you to store complex and structured data in a single column.
This guide explains how to define a schema field type as a composite type in your Ent schema and configure the schema migration
to manage both the composite types and the Ent schema as a single migration unit using Atlas.
:::info [Atlas Pro Feature](https://atlasgo.io/features#pro-plan)
Atlas support for [Composite Types](https://atlasgo.io/atlas-schema/hcl#composite-type) is available exclusively to Pro users.
To use this feature, run:
```
atlas login
```
:::
## Install Atlas
## Login to Atlas
```shell
$ atlas login a8m
//highlight-next-line-info
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. Composite types,
or any other database objects do not have representation in Ent models - A composite 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 composite types and our Ent types, we configure Atlas to
read the state of the schema from a [Composite Schema](https://atlasgo.io/atlas-schema/projects#data-source-composite_schema)
data source. Follow the steps below to configure this for your project:
1\. Create a `schema.sql` that defines the necessary composite type. In the same way, you can configure the composite type in
[Atlas Schema HCL language](https://atlasgo.io/atlas-schema/hcl-types#composite-type):
```sql title="schema.sql"
CREATE TYPE address AS (
street text,
city text
);
```
```hcl title="schema.hcl"
schema "public" {}
composite "address" {
schema = schema.public
field "street" {
type = text
}
field "city" {
type = text
}
}
```
2\. In your Ent schema, define a field that uses the composite type only in PostgreSQL dialect:
```go title="ent/schema/user.go" {6-8}
// Fields of the User.
func (User) Fields() []ent.Field {
return []ent.Field{
field.String("address").
GoType(&Address{}).
SchemaType(map[string]string{
dialect.Postgres: "address",
}),
}
}
```
:::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").
:::
```go title="ent/schematype/address.go"
type Address struct {
Street, City string
}
var _ field.ValueScanner = (*Address)(nil)
// Scan implements the database/sql.Scanner interface.
func (a *Address) Scan(v interface{}) (err error) {
switch v := v.(type) {
case nil:
case string:
_, err = fmt.Sscanf(v, "(%q,%q)", &a.Street, &a.City)
case []byte:
_, err = fmt.Sscanf(string(v), "(%q,%q)", &a.Street, &a.City)
}
return
}
// Value implements the driver.Valuer interface.
func (a *Address) Value() (driver.Value, error) {
return fmt.Sprintf("(%q,%q)", a.Street, a.City), nil
}
```
3\. Create a simple `atlas.hcl` config file with a `composite_schema` that includes both your custom types defined in
`schema.sql` and your Ent schema:
```hcl title="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:
```shell
atlas schema inspect \
--env local \
--url env://src \
--format '{{ sql . }}'
```
The command above prints the following SQL. Note, the `address` composite type is defined in the schema before
its usage in the `address` field:
```sql
-- Create composite type "address"
CREATE TYPE "address" AS ("street" text, "city" text);
-- Create "users" table
CREATE TABLE "users" ("id" bigint NOT NULL GENERATED BY DEFAULT AS IDENTITY, "address" "address" NOT NULL, PRIMARY KEY ("id"));
```
#### Generate Migrations For the Schema
To generate a migration for the schema, run the following command:
```shell
atlas migrate diff \
--env local
```
Note that a new migration file is created with the following content:
```sql title="migrations/20240712090543.sql"
-- Create composite type "address"
CREATE TYPE "address" AS ("street" text, "city" text);
-- Create "users" table
CREATE TABLE "users" ("id" bigint NOT NULL GENERATED BY DEFAULT AS IDENTITY, "address" "address" 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"
```
:::info 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:
```shell
atlas schema apply \
--env local \
--url "postgres://postgres:pass@localhost:5432/database?search_path=public&sslmode=disable"
```
:::
The code for this guide can be found in [GitHub](https://github.com/ent/ent/tree/master/examples/compositetypes).