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Relations en

github-actions[bot] edited this page Jul 26, 2026 · 4 revisions

Entity Relations

Define relationships between entities using #[belongs_to] and #[has_many]. Relations generate type-safe navigation methods in repositories.

Quick Start

// Parent entity
#[derive(Entity)]
#[entity(table = "users")]
#[has_many(Post)]
pub struct User {
 #[id]
 pub id: Uuid,
 #[field(create, update, response)]
 pub name: String,
}
// Child entity
#[derive(Entity)]
#[entity(table = "posts")]
pub struct Post {
 #[id]
 pub id: Uuid,
 #[field(create, response)]
 #[belongs_to(User)]
 pub user_id: Uuid,
 #[field(create, update, response)]
 pub title: String,
}

Generated Code

For #[has_many(Post)] on User

#[async_trait]
impl UserRepository for PgPool {
 // ... standard CRUD methods
 /// Find all posts belonging to this user.
 async fn find_posts(&self, user_id: Uuid) -> Result<Vec<Post>, Self::Error> {
 let rows: Vec<PostRow> = sqlx::query_as(
 "SELECT * FROM posts WHERE user_id = 1ドル ORDER BY created_at DESC"
 )
 .bind(&user_id)
 .fetch_all(self)
 .await?;
 Ok(rows.into_iter().map(Post::from).collect())
 }
}

For #[belongs_to(User)] on Post

#[async_trait]
impl PostRepository for PgPool {
 // ... standard CRUD methods
 /// Find the user this post belongs to.
 async fn find_user(&self, id: Uuid) -> Result<Option<User>, Self::Error> {
 // First get the post to find user_id
 let post = self.find_by_id(id).await?;
 if let Some(post) = post {
 let row: Option<UserRow> = sqlx::query_as(
 "SELECT * FROM users WHERE id = 1ドル"
 )
 .bind(&post.user_id)
 .fetch_optional(self)
 .await?;
 Ok(row.map(User::from))
 } else {
 Ok(None)
 }
 }
}

Relation Types

belongs_to (Many-to-One)

A child entity references a parent via foreign key.

#[derive(Entity)]
#[entity(table = "comments")]
pub struct Comment {
 #[id]
 pub id: Uuid,
 #[field(create, response)]
 #[belongs_to(Post)]
 pub post_id: Uuid,
 #[field(create, response)]
 #[belongs_to(User)]
 pub author_id: Uuid,
 #[field(create, response)]
 pub content: String,
}

Generated methods:

  • find_post(comment_id)Option<Post>
  • find_author(comment_id)Option<User> (note: method name derived from field name without _id)

has_many (One-to-Many)

A parent entity has multiple children.

#[derive(Entity)]
#[entity(table = "users")]
#[has_many(Post)]
#[has_many(Comment)]
pub struct User {
 #[id]
 pub id: Uuid,
 // ...
}

Generated methods:

  • find_posts(user_id)Vec<Post>
  • find_comments(user_id)Vec<Comment>

has_many through (Many-to-Many)

Declare the junction table with through and the repository gains a JOIN-backed lookup plus link management; migrations emits MIGRATION_JUNCTIONS (composite primary key over both foreign keys, ON DELETE CASCADE on each side).

#[derive(Entity)]
#[entity(table = "teams", migrations)]
#[has_many(User, through = "team_members")]
pub struct Team { /* ... */ }
for ddl in Team::MIGRATION_JUNCTIONS {
 sqlx::query(ddl).execute(&pool).await?;
}
pool.add_user(team_id, user_id).await?;
let members: Vec<User> = pool.find_users(team_id).await?;
let linked = pool.has_user(team_id, user_id).await?;
let removed = pool.remove_user(team_id, user_id).await?;

Generated methods: find_users (INNER JOIN), add_user (idempotent, ON CONFLICT DO NOTHING), remove_user (false when not linked), has_user (SELECT EXISTS).

Usage Examples

Loading Related Data

// Get user with their posts
async fn get_user_with_posts(
 pool: &PgPool,
 user_id: Uuid,
) -> Result<Option<(User, Vec<Post>)>, sqlx::Error> {
 let user = pool.find_by_id(user_id).await?;
 if let Some(user) = user {
 let posts = pool.find_posts(user_id).await?;
 Ok(Some((user, posts)))
 } else {
 Ok(None)
 }
}
// Get post with author
async fn get_post_with_author(
 pool: &PgPool,
 post_id: Uuid,
) -> Result<Option<(Post, User)>, sqlx::Error> {
 let post = pool.find_by_id(post_id).await?;
 if let Some(post) = post {
 let user = pool.find_user(post.id).await?;
 if let Some(user) = user {
 return Ok(Some((post, user)));
 }
 }
 Ok(None)
}

Building Response DTOs

#[derive(Serialize)]
pub struct PostWithAuthor {
 #[serde(flatten)]
 pub post: PostResponse,
 pub author: UserResponse,
}
async fn get_posts_with_authors(
 pool: &PgPool,
 limit: i64,
) -> Result<Vec<PostWithAuthor>, sqlx::Error> {
 let posts = pool.list(limit, 0).await?;
 let mut results = Vec::with_capacity(posts.len());
 for post in posts {
 if let Some(user) = pool.find_user(post.id).await? {
 results.push(PostWithAuthor {
 post: PostResponse::from(&post),
 author: UserResponse::from(&user),
 });
 }
 }
 Ok(results)
}

Nested Loading with API

use axum::{extract::Path, Json};
#[derive(Serialize)]
pub struct UserProfile {
 pub user: UserResponse,
 pub posts: Vec<PostResponse>,
 pub post_count: usize,
}
async fn get_user_profile(
 Path(user_id): Path<Uuid>,
 pool: Extension<PgPool>,
) -> Result<Json<UserProfile>, AppError> {
 let user = pool.find_by_id(user_id).await?
 .ok_or(AppError::NotFound)?;
 let posts = pool.find_posts(user_id).await?;
 Ok(Json(UserProfile {
 user: UserResponse::from(&user),
 post_count: posts.len(),
 posts: posts.into_iter().map(PostResponse::from).collect(),
 }))
}

Multiple Relations

An entity can have multiple relations:

#[derive(Entity)]
#[entity(table = "organizations")]
#[has_many(User)]
#[has_many(Project)]
#[has_many(Team)]
pub struct Organization {
 #[id]
 pub id: Uuid,
 #[field(create, update, response)]
 pub name: String,
}
#[derive(Entity)]
#[entity(table = "projects")]
pub struct Project {
 #[id]
 pub id: Uuid,
 #[field(create, response)]
 #[belongs_to(Organization)]
 pub organization_id: Uuid,
 #[field(create, response)]
 #[belongs_to(User)]
 pub owner_id: Uuid,
 #[field(create, update, response)]
 pub name: String,
}

Generated for Organization:

  • find_users(org_id)
  • find_projects(org_id)
  • find_teams(org_id)

Generated for Project:

  • find_organization(project_id)
  • find_owner(project_id)

Custom Joins with sql = "trait"

For complex queries with eager loading, use custom SQL:

#[derive(Entity)]
#[entity(table = "posts", sql = "trait")]
pub struct Post { /* ... */ }
pub struct PostWithRelations {
 pub post: Post,
 pub author: User,
 pub comments: Vec<Comment>,
}
pub trait PostRepositoryExt {
 async fn find_with_relations(&self, id: Uuid) -> Result<Option<PostWithRelations>, sqlx::Error>;
 async fn list_with_authors(&self, limit: i64) -> Result<Vec<(Post, User)>, sqlx::Error>;
}
#[async_trait]
impl PostRepositoryExt for PgPool {
 async fn find_with_relations(&self, id: Uuid) -> Result<Option<PostWithRelations>, sqlx::Error> {
 // Single query with joins
 let row = sqlx::query_as::<_, (PostRow, UserRow)>(
 r#"
 SELECT p.*, u.*
 FROM posts p
 JOIN users u ON u.id = p.user_id
 WHERE p.id = 1ドル
 "#
 )
 .bind(&id)
 .fetch_optional(self)
 .await?;
 if let Some((post_row, user_row)) = row {
 let comments: Vec<CommentRow> = sqlx::query_as(
 "SELECT * FROM comments WHERE post_id = 1ドル ORDER BY created_at"
 )
 .bind(&id)
 .fetch_all(self)
 .await?;
 Ok(Some(PostWithRelations {
 post: Post::from(post_row),
 author: User::from(user_row),
 comments: comments.into_iter().map(Comment::from).collect(),
 }))
 } else {
 Ok(None)
 }
 }
 async fn list_with_authors(&self, limit: i64) -> Result<Vec<(Post, User)>, sqlx::Error> {
 let rows = sqlx::query_as::<_, (PostRow, UserRow)>(
 r#"
 SELECT p.*, u.*
 FROM posts p
 JOIN users u ON u.id = p.user_id
 ORDER BY p.created_at DESC
 LIMIT 1ドル
 "#
 )
 .bind(limit)
 .fetch_all(self)
 .await?;
 Ok(rows.into_iter()
 .map(|(p, u)| (Post::from(p), User::from(u)))
 .collect())
 }
}

With Filtering

Combine relations with query filtering:

#[derive(Entity)]
#[entity(table = "posts")]
pub struct Post {
 #[id]
 pub id: Uuid,
 #[field(create, response)]
 #[belongs_to(User)]
 #[filter] // Enable filtering by user_id
 pub user_id: Uuid,
 #[field(create, update, response)]
 #[filter(like)]
 pub title: String,
 #[field(response)]
 #[auto]
 #[filter(range)]
 pub created_at: DateTime<Utc>,
}

Usage:

// Get posts by specific user with title filter
let query = PostQuery {
 user_id: Some(user_id),
 title: Some("rust".into()),
 limit: Some(20),
 ..Default::default()
};
let posts = pool.query(query).await?;

Best Practices

  1. Avoid N+1 queries — Use joins for eager loading when fetching multiple related entities
  2. Use pagination — Always limit has_many results
  3. Consider data access patterns — Add indexes on foreign key columns
  4. Cache when appropriate — Cache frequently accessed related data
  5. Use projections — Fetch only needed fields for related entities

See Also

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