ent/doc/md/schema-fields.md

id, title

id	title
schema-fields	Fields

Quick Summary

Fields (or properties) in the schema are the attributes of the vertex. For example, a User with 4 fields: age, name, username and created_at:

Fields are returned from the schema using the Fields method. For example:

package schema

import (
	"time"

	"github.com/facebookincubator/ent"
	"github.com/facebookincubator/ent/schema/field"
)

// User schema.
type User struct {
	ent.Schema
}

// Fields of the user.
func (User) Fields() []ent.Field {
	return []ent.Field{
		field.Int("age"),
		field.String("name"),
		field.String("username").
			Unique(),
		field.Time("created_at").
			Default(time.Now),
	}
}

All fields are required by default, and can be set to optional using the Optional method.

Types

The following types are currently supported by the framework:

• All Go numeric types. Like int, uint8, float64, etc.
• bool
• string
• time.Time
• []byte (only supported by SQL dialects).
• JSON (only supported by SQL dialects).
• Enum (only supported by SQL dialects).

package schema

import (
	"time"
	"net/url"

	"github.com/facebookincubator/ent"
	"github.com/facebookincubator/ent/schema/field"
)

// User schema.
type User struct {
	ent.Schema
}

// Fields of the user.
func (User) Fields() []ent.Field {
	return []ent.Field{
		field.Int("age").
			Positive(),
		field.Float("rank").
			Optional(),
		field.Bool("active").
			Default(false),
		field.String("name").
			Unique(),
		field.Time("created_at").
			Default(time.Now),
		field.JSON("url", &url.URL{}).
			Optional(),
		field.JSON("strings", []string{}).
			Optional(),
		field.Enum("state").
			Values("on", "off").
			Optional(),
	}
}

To read more about how each type is mapped to its database-type, go to the Migration section.

ID Field

The id field is builtin in the schema and does not need declaration. In SQL-based databases, its type defaults to int (but can be changed with a codegen option) and auto-incremented in the database.

In order to configure the id field to be unique across all tables, use the WithGlobalUniqueID option when running schema migration.

If a different configuration for the id field is needed, or the id value should be provided on entity creation by the application (e.g. UUID), override the builtin id configuration. For example:

// Fields of the Group.
func (Group) Fields() []ent.Field {
	return []ent.Field{
		field.Int("id").
			StructTag(`json:"oid,omitempty"`),
	}
}

// Fields of the Blob.
func (Blob) Fields() []ent.Field {
	return []ent.Field{
		field.UUID("id", uuid.UUID{}),
	}
}

// Fields of the Pet.
func (Pet) Fields() []ent.Field {
	return []ent.Field{
		field.String("id").
			MaxLen(25).
			NotEmpty().
			Unique().
			Immutable(),
	}
}

Database Type

Each database dialect has its own mapping from Go type to database type. For example, the MySQL dialect creates float64 fields as double columns in the database. However, there is an option to override the default behavior using the SchemaType method.

package schema

import (
    "github.com/facebookincubator/ent"
    "github.com/facebookincubator/ent/dialect"
    "github.com/facebookincubator/ent/schema/field"
)

// Card schema.
type Card struct {
    ent.Schema
}

// Fields of the Card.
func (Card) Fields() []ent.Field {
	return []ent.Field{
		field.Float64("amount").
			SchemaType(map[string]string{
				dialect.MySQL:    "decimal(6,2)",   // Override MySQL. 
				dialect.Postgres: "numeric",        // Override Postgres.
			}),
	}
}

Default Values

Non-unique fields support default values using the Default and UpdateDefault methods.

// Fields of the User.
func (User) Fields() []ent.Field {
	return []ent.Field{
		field.Time("created_at").
			Default(time.Now),
		field.Time("updated_at").
			Default(time.Now).
			UpdateDefault(time.Now),
	}
}

Validators

A field validator is a function from type func(T) error that is defined in the schema using the Validate method, and applied on the field value before creating or updating the entity.

The supported types of field validators are string and all numeric types.

package schema

import (
	"errors"
	"regexp"
	"strings"
	"time"

	"github.com/facebookincubator/ent"
	"github.com/facebookincubator/ent/schema/field"
)


// Group schema.
type Group struct {
	ent.Schema
}

// Fields of the group.
func (Group) Fields() []ent.Field {
	return []ent.Field{
		field.String("name").
			Match(regexp.MustCompile("[a-zA-Z_]+$")).
			Validate(func(s string) error {
				if strings.ToLower(s) == s {
					return errors.New("group name must begin with uppercase")
				}
				return nil
			}),
	}
}

Built-in Validators

The framework provides a few built-in validators for each type:

• Numeric types:

  • Positive()
  • Negative()
  • NonNegative()
  • Min(i) - Validate that the given value is > i.
  • Max(i) - Validate that the given value is < i.
  • Range(i, j) - Validate that the given value is within the range [i, j].

• string

  • MinLen(i)
  • MaxLen(i)
  • Match(regexp.Regexp)

Optional

Optional fields are fields that are not required in the entity creation, and will be set to nullable fields in the database. Unlike edges, fields are required by default, and setting them to optional should be done explicitly using the Optional method.

// Fields of the user.
func (User) Fields() []ent.Field {
	return []ent.Field{
		field.String("required_name"),
		field.String("optional_name").
			Optional(),
	}
}

Nillable

Sometimes you want to be able to distinguish between the zero value of fields and nil; for example if the database column contains 0 or NULL. The Nillable option exists exactly for this.

If you have an Optional field of type T, setting it to Nillable will generate a struct field with type *T. Hence, if the database returns NULL for this field, the struct field will be nil. Otherwise, it will contains a pointer to the actual data.

For example, given this schema:

// Fields of the user.
func (User) Fields() []ent.Field {
	return []ent.Field{
		field.String("required_name"),
		field.String("optional_name").
			Optional(),
		field.String("nillable_name").
			Optional().
			Nillable(),
	}
}

The generated struct for the User entity will be as follows:

// ent/user.go
package ent

// User entity.
type User struct {
	RequiredName string `json:"required_name,omitempty"`
	OptionalName string `json:"optional_name,omitempty"`
	NillableName *string `json:"nillable_name,omitempty"`
}

Immutable

Immutable fields are fields that can be set only in the creation of the entity. i.e., no setters will be generated for the entity updater.

// Fields of the user.
func (User) Fields() []ent.Field {
	return []ent.Field{
		field.String("name"),
		field.Time("created_at").
			Default(time.Now).
			Immutable(),
	}
}

Uniqueness

Fields can be defined as unique using the Unique method. Note that unique fields cannot have default values.

// Fields of the user.
func (User) Fields() []ent.Field {
	return []ent.Field{
		field.String("name"),
		field.String("nickname").
			Unique(),
	}
}

Storage Key

Custom storage name can be configured using the StorageKey method. It's mapped to a column name in SQL dialects and to property name in Gremlin.

// Fields of the user.
func (User) Fields() []ent.Field {
	return []ent.Field{
		field.String("name").
			StorageKey(`old_name"`),
	}
}

Indexes

Indexes can be defined on multi fields and some types of edges as well. However, you should note, that this is currently an SQL-only feature.

Read more about this in the Indexes section.

Struct Tags

Custom struct tags can be added to the generated entities using the StructTag method. Note that if this option was not provided, or provided and did not contain the json tag, the default json tag will be added with the field name.

// Fields of the user.
func (User) Fields() []ent.Field {
	return []ent.Field{
		field.String("name").
			StructTag(`gqlgen:"gql_name"`),
	}
}

Additional Struct Fields

By default, entc generates the entity model with fields that are configured in the schema.Fields method. For example, given this schema configuration:

// User schema.
type User struct {
	ent.Schema
}

// Fields of the user.
func (User) Fields() []ent.Field {
	return []ent.Field{
		field.Int("age").
			Optional().
			Nillable(),
		field.String("name").
			StructTag(`gqlgen:"gql_name"`),
	}
}

The generated model will be as follows:

// User is the model entity for the User schema.
type User struct {
	// Age holds the value of the "age" field.
	Age  *int	`json:"age,omitempty"`
	// Name holds the value of the "name" field.
	Name string `json:"name,omitempty" gqlgen:"gql_name"`
}

In order to add additional fields to the generated struct that are not stored in the database, use external templates. For example:

{{ define "model/fields/additional" }}
	{{- if eq $.Name "User" }}
		// StaticField defined by template.
		StaticField string `json:"static,omitempty"`
	{{- end }}
{{ end }}

The generated model will be as follows:

// User is the model entity for the User schema.
type User struct {
	// Age holds the value of the "age" field.
	Age  *int	`json:"age,omitempty"`
	// Name holds the value of the "name" field.
	Name string `json:"name,omitempty" gqlgen:"gql_name"`
	// StaticField defined by template.
	StaticField string `json:"static,omitempty"`
}

Sensitive Fields

String fields can be defined as sensitive using the Sensitive method. Sensitive fields won't be printed and they will be omitted when encoding.

Note that sensitive fields cannot have struct tags.

// User schema.
type User struct {
	ent.Schema
}

// Fields of the user.
func (User) Fields() []ent.Field {
	return []ent.Field{
		field.String("password").
			Sensitive(),
	}
}