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ent/doc/md/eager-load.md
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---
id: eager-load
title: Eager Loading
---
## Overview
`ent` supports querying entities with their associations (through their edges). The associated entities
are populated to the `Edges` field in the returned object.
Let's give an example hows does the API look like for the following schema:
![er-group-users](https://s3.eu-central-1.amazonaws.com/entgo.io/assets/er_user_pets_groups.png)
**Query all users with their pets:**
```go
users, err := client.User.
Query().
WithPets().
All(ctx)
if err != nil {
return err
}
// The returned users look as follows:
//
// [
// User {
// ID: 1,
// Name: "a8m",
// Edges: {
// Pets: [Pet(...), ...]
// ...
// }
// },
// ...
// ]
//
for _, u := range users {
for _, p := range u.Edges.Pets {
fmt.Printf("User(%v) -> Pet(%v)\n", u.ID, p.ID)
// Output:
// User(...) -> Pet(...)
}
}
```
Eager loading allows to query more than one association (including nested), and also
filter, sort or limit their result. For example:
```go
admins, err := client.User.
Query().
Where(user.Admin(true)).
// Populate the `pets` that associated with the `admins`.
WithPets().
// Populate the first 5 `groups` that associated with the `admins`.
WithGroups(func(q *ent.GroupQuery) {
q.Limit(5) // Limit to 5.
q.WithUsers().Limit(5) // Populate the `users` of each `groups`.
}).
All(ctx)
if err != nil {
return err
}
// The returned users look as follows:
//
// [
// User {
// ID: 1,
// Name: "admin1",
// Edges: {
// Pets: [Pet(...), ...]
// Groups: [
// Group {
// ID: 7,
// Name: "GitHub",
// Edges: {
// Users: [User(...), ...]
// ...
// }
// }
// ]
// }
// },
// ...
// ]
//
for _, admin := range admins {
for _, p := range admin.Edges.Pets {
fmt.Printf("Admin(%v) -> Pet(%v)\n", u.ID, p.ID)
// Output:
// Admin(...) -> Pet(...)
}
for _, g := range admin.Edges.Groups {
for _, u := range g.Edges.Users {
fmt.Printf("Admin(%v) -> Group(%v) -> User(%v)\n", u.ID, g.ID, u.ID)
// Output:
// Admin(...) -> Group(...) -> User(...)
}
}
}
```
## API
Each query-builder has a list of methods in the form of `With<E>(...func(<N>Query))` for each of its edges.
`<E>` stands for the edge name (like, `WithGroups`) and `<N>` for the edge type (like, `GroupQuery`).
Note that, only SQL dialects support this feature.
## Implementation
Since a query-builder can load more than one association, it's not possible to load them using one `JOIN` operation.
Therefore, `ent` executes additional queries for loading associations. One query for `M2O/O2M` and `O2O` edges, and
2 queries for loading `M2M` edges.
Note that, we expect to improve this in the next versions of `ent`.