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ent/doc/md/schema-indexes.md
2021-06-10 11:28:57 +03:00

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---
id: schema-indexes
title: Indexes
---
## Multiple Fields
Indexes can be configured on one or more fields in order to improve
speed of data retrieval, or defining uniqueness.
```go
package schema
import (
"entgo.io/ent"
"entgo.io/ent/schema/index"
)
// User holds the schema definition for the User entity.
type User struct {
ent.Schema
}
func (User) Indexes() []ent.Index {
return []ent.Index{
// non-unique index.
index.Fields("field1", "field2"),
// unique index.
index.Fields("first_name", "last_name").
Unique(),
}
}
```
Note that for setting a single field as unique, use the `Unique`
method on the field builder as follows:
```go
func (User) Fields() []ent.Field {
return []ent.Field{
field.String("phone").
Unique(),
}
}
```
## Index On Edges
Indexes can be configured on composition of fields and edges. The main use-case
is setting uniqueness on fields under a specific relation. Let's take an example:
![er-city-streets](https://entgo.io/images/assets/er_city_streets.png)
In the example above, we have a `City` with many `Street`s, and we want to set the
street name to be unique under each city.
`ent/schema/city.go`
```go
// City holds the schema definition for the City entity.
type City struct {
ent.Schema
}
// Fields of the City.
func (City) Fields() []ent.Field {
return []ent.Field{
field.String("name"),
}
}
// Edges of the City.
func (City) Edges() []ent.Edge {
return []ent.Edge{
edge.To("streets", Street.Type),
}
}
```
`ent/schema/street.go`
```go
// Street holds the schema definition for the Street entity.
type Street struct {
ent.Schema
}
// Fields of the Street.
func (Street) Fields() []ent.Field {
return []ent.Field{
field.String("name"),
}
}
// Edges of the Street.
func (Street) Edges() []ent.Edge {
return []ent.Edge{
edge.From("city", City.Type).
Ref("streets").
Unique(),
}
}
// Indexes of the Street.
func (Street) Indexes() []ent.Index {
return []ent.Index{
index.Fields("name").
Edges("city").
Unique(),
}
}
```
`example.go`
```go
func Do(ctx context.Context, client *ent.Client) error {
// Unlike `Save`, `SaveX` panics if an error occurs.
tlv := client.City.
Create().
SetName("TLV").
SaveX(ctx)
nyc := client.City.
Create().
SetName("NYC").
SaveX(ctx)
// Add a street "ST" to "TLV".
client.Street.
Create().
SetName("ST").
SetCity(tlv).
SaveX(ctx)
// This operation will fail because "ST"
// is already created under "TLV".
_, err := client.Street.
Create().
SetName("ST").
SetCity(tlv).
Save(ctx)
if err == nil {
return fmt.Errorf("expecting creation to fail")
}
// Add a street "ST" to "NYC".
client.Street.
Create().
SetName("ST").
SetCity(nyc).
SaveX(ctx)
return nil
}
```
The full example exists in [GitHub](https://github.com/ent/ent/tree/master/examples/edgeindex).
## Index On Edge Fields
Currently `Edges` columns are always added after `Fields` columns. However, some indexes require these columns to come first in order to achieve specific optimizations. You can work around this problem by making use of [Edge Fields](schema-edges.md#edge-field).
```go
// Card holds the schema definition for the Card entity.
type Card struct {
ent.Schema
}
// Fields of the Card.
func (Card) Fields() []ent.Field {
return []ent.Field{
field.String("number").
Optional(),
field.Int("owner_id").
Optional(),
}
}
// Edges of the Card.
func (Card) Edges() []ent.Edge {
return []ent.Edge{
edge.From("owner", User.Type).
Ref("card").
Field("owner_id").
Unique(),
}
}
// Indexes of the Card.
func (Card) Indexes() []ent.Index {
return []ent.Index{
index.Fields("owner_id", "number"),
}
}
```
## Dialect Support
Indexes currently support only SQL dialects, and do not support Gremlin. Dialect specific features are allowed using
[annotations](schema-annotations.md). For example, in order to use [index prefixes](https://dev.mysql.com/doc/refman/8.0/en/column-indexes.html#column-indexes-prefix)
in MySQL, use the following configuration:
```go
// Indexes of the User.
func (User) Indexes() []ent.Index {
return []ent.Index{
index.Fields("description").
Annotations(entsql.Prefix(128)),
index.Fields("c1", "c2", "c3").
Annotation(
entsql.PrefixColumn("c1", 100),
entsql.PrefixColumn("c2", 200),
)
}
}
```
The code above generates the following SQL statements:
```sql
CREATE INDEX `users_description` ON `users`(`description`(128))
CREATE INDEX `users_c1_c2_c3` ON `users`(`c1`(100), `c2`(200), `c3`)
```