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Elixir & Phoenix: Scalable Backend Development · 강의

연관 관계와 내장 스키마

Ecto 연관 관계를 사용해 서로 다른 데이터 모델 간 관계를 처리하고, 내장 스키마로 데이터를 직접 포함합니다.

연관 관계와 내장 스키마은(는) CoddyKit의 무료 Elixir & Phoenix: Scalable Backend Development 강의입니다. 이것은 4개 중 3번째 강의입니다. 아래에서 전체 강의를 무료로 읽을 수 있으며, 내장 코드 에디터와 24/7 AI 튜터와 함께 브라우저에서 직접 실습할 수 있습니다. 이 강의는 Elixir & Phoenix: Scalable Backend Development 학습 경로의 일부이며, 진행 상황이 웹과 CoddyKit 앱에 동기화됩니다. Elixir & Phoenix: Scalable Backend Development 강의에는 총 4개의 강의가 포함되어 있습니다.

이 강의의 일부는 아직 번역되지 않았으며 영어로 표시됩니다.

Linking Your Data Together

In relational databases, data is often spread across multiple tables to avoid redundancy and ensure data integrity. Associations in Ecto help you define how these different pieces of data relate to each other.

Think of a blog: A user can write many posts, and each post belongs to one user. Ecto allows you to model these relationships directly in your Elixir schemas.

  • Organize related data logically.
  • Simplify querying and data retrieval.
  • Maintain data consistency.

One User, Many Posts

The most common relationship is one-to-many. For example, one User can have many Posts, but each Post belongs to only one User.

In Ecto, you define this using has_many on the "one" side (e.g., User) and belongs_to on the "many" side (e.g., Post). The belongs_to macro also tells Ecto to add a foreign key (like user_id) to the Post's database table.

Coding `has_many` and `belongs_to`

Let's define our User and Post schemas. Notice how has_many and belongs_to link them. The belongs_to macro expects the name of the association and the module of the associated schema.

defmodule MyApp.User do
  use Ecto.Schema
  schema "users" do
    field :name, :string
    has_many :posts, MyApp.Post # A user has many posts

    timestamps()
  end
end

defmodule MyApp.Post do
  use Ecto.Schema
  schema "posts" do
    field :title, :string
    field :content, :string
    belongs_to :user, MyApp.User # A post belongs to one user

    timestamps()
  end
end

Working with Linked Records

Once schemas are defined, you can create records and link them. Ecto allows you to preload associations, fetching related data in a single query to avoid N+1 problems. Here's how you might create a user and posts, then view the user with their posts.

defmodule MyScript do
  # Mock schemas for demonstration (assuming they are defined)
  defmodule User do
    defstruct [:id, :name, :posts]
  end
  defmodule Post do
    defstruct [:id, :title, :content, :user_id]
  end

  def run do
    IO.puts "--- Demonstrating One-to-Many ---"
    # Simulate creating a user
    user = %User{id: 1, name: "Alice"}
    IO.inspect user, label: "Created User"

    # Simulate creating posts linked to the user
    post1 = %Post{id: 101, title: "My First Post", content: "Hello world!", user_id: user.id}
    post2 = %Post{id: 102, title: "Elixir Fun", content: "Learning Elixir!", user_id: user.id}

    # In a real app, you'd use Repo.insert! and Repo.preload
    # To show the concept of preloading, we manually add posts to the user struct
    user_with_posts = %{user | posts: [post1, post2]}

    IO.inspect user_with_posts, label: "User with preloaded posts"
  end
end

MyScript.run()

Multiple Connections: `many_to_many`

Sometimes, records have a many-to-many relationship. For example, a Student can enroll in many Courses, and each Course can have many Students.

Ecto handles this using a join table (or "pivot table"). You define a schema for this intermediate table, and Ecto uses it to manage the connections between the two main schemas with the many_to_many macro.

  • Requires a separate join schema.
  • Connects two schemas where both sides can have multiple related records.
  • Common for tags, roles, or group memberships.

Coding `many_to_many`

Let's define Student and Course schemas, along with a Enrollment join schema. The many_to_many macro is used on both Student and Course, specifying the join schema.

defmodule MyApp.Student do
  use Ecto.Schema
  schema "students" do
    field :name, :string
    many_to_many :courses, MyApp.Course, join_through: MyApp.Enrollment

    timestamps()
  end
end

defmodule MyApp.Course do
  use Ecto.Schema
  schema "courses" do
    field :title, :string
    many_to_many :students, MyApp.Student, join_through: MyApp.Enrollment

    timestamps()
  end
end

defmodule MyApp.Enrollment do
  use Ecto.Schema
  schema "enrollments" do
    # These are foreign keys to Student and Course
    belongs_to :student, MyApp.Student
    belongs_to :course, MyApp.Course

    timestamps()
  end
end

Accessing Many-to-Many Links

Similar to one-to-many, you use Ecto.Repo.preload/2 to fetch associated many-to-many records. Ecto automatically handles querying the join table behind the scenes.

defmodule MyScript.Many do
  # Mock schemas for demonstration
  defmodule Student do
    defstruct [:id, :name, :courses]
  end
  defmodule Course do
    defstruct [:id, :title, :students]
  end
  defmodule Enrollment do
    defstruct [:id, :student_id, :course_id]
  end

  def run do
    IO.puts "--- Demonstrating Many-to-Many ---"
    # Simulate creating a student and courses
    student1 = %Student{id: 1, name: "Maria"}
    courseA = %Course{id: 101, title: "Elixir Basics"}
    courseB = %Course{id: 102, title: "Phoenix Framework"}

    # Simulate enrollments (join table entries)
    _enrollment1 = %Enrollment{student_id: student1.id, course_id: courseA.id}
    _enrollment2 = %Enrollment{student_id: student1.id, course_id: courseB.id}

    # Simulate preloading courses for student1
    student1_with_courses = %{student1 | courses: [courseA, courseB]}

    IO.inspect student1_with_courses, label: "Student with preloaded courses"
  end
end

MyScript.Many.run()

Data Within Data: Embedded Schemas

While associations link separate records, embedded schemas allow you to store structured data directly within a parent record's field. This means the embedded data is not in a separate table but is part of the parent's row.

Use embedded schemas when the nested data only makes sense in the context of its parent and doesn't need to be independently queried or shared.

  • Data stored directly in the parent record.
  • No separate database table or foreign keys.
  • Ideal for simple, dependent nested data like addresses or metadata.

Coding Embedded Schemas

You define an embedded schema using embeds_one or embeds_many within the parent schema. The embedded schema itself uses Ecto.Schema with @primary_key false and @foreign_key_type :binary_id (or false for no ID) as it's not a standalone table.

defmodule MyScript.Embed do
  defmodule Address do
    use Ecto.Schema
    @primary_key false # Embedded schemas don't have their own primary key
    @foreign_key_type :binary_id # Or false if no ID needed at all
    schema "addresses" do # Table name is ignored for embeds
      field :street, :string
      field :city, :string
      field :zip_code, :string
    end
  end

  defmodule Profile do
    use Ecto.Schema
    schema "profiles" do
      field :username, :string
      embeds_one :address, MyScript.Embed.Address, on_replace: :delete # Embeds one address

      timestamps()
    end
  end

  def run do
    IO.puts "--- Demonstrating Embedded Schemas ---"
    # Create a profile with an embedded address
    profile_changeset =
      Ecto.Changeset.change(%Profile{}, %{username: "john_doe"})
      |> Ecto.Changeset.put_embed(:address, %{
        street: "123 Main St",
        city: "Anytown",
        zip_code: "12345"
      })

    # In a real app: Repo.insert!(profile_changeset)
    # Simulate the resulting struct
    profile_with_address = %Profile{
      id: 1,
      username: "john_doe",
      address: %Address{street: "123 Main St", city: "Anytown", zip_code: "12345"}
    }

    IO.inspect profile_with_address, label: "Profile with embedded address"
  end
end

MyScript.Embed.run()

Check Your Understanding

You've learned about Ecto associations and embedded schemas. Let's test your knowledge!

Associations & Embeds: Key Takeaways

Great job! You've mastered how to model relationships in Ecto:

  • One-to-many: Use has_many and belongs_to. The foreign key lives on the belongs_to side.
  • Many-to-many: Use many_to_many with a dedicated join_through schema.
  • Embedded Schemas: Use embeds_one or embeds_many to store dependent, structured data directly within a parent record.
  • Always use Ecto.Repo.preload/2 to fetch associated data efficiently.

These powerful features are fundamental to building robust and well-structured Ecto applications. Keep practicing!

자주 묻는 질문

“연관 관계와 내장 스키마” 강의는 무료인가요?

네 — “연관 관계와 내장 스키마” 전체 내용을 이 웹사이트에서 무료로 읽을 수 있습니다. 인터랙티브하게 실습하려면(내장 코드 에디터와 24/7 AI 튜터), CoddyKit PRO로 업그레이드하면 Elixir & Phoenix: Scalable Backend Development 강의 전체를 잠금 해제할 수 있습니다. Elixir & Phoenix: Scalable Backend Development 강의에는 총 4개의 강의가 포함되어 있습니다.

“연관 관계와 내장 스키마”에서 뭘 배우나요?

Ecto 연관 관계를 사용해 서로 다른 데이터 모델 간 관계를 처리하고, 내장 스키마로 데이터를 직접 포함합니다. 브라우저에서 직접 실행하는 실습 코드로 Elixir & Phoenix: Scalable Backend Development을(를) 배우며, 24/7 AI 튜터가 강의를 진행하면서 질문에 답변해줍니다.

Elixir & Phoenix: Scalable Backend Development을(를) 시작하는 데 경험이 필요한가요?

사전 경험은 필요하지 않습니다. CoddyKit의 Elixir & Phoenix: Scalable Backend Development은(는) 초급자부터 고급 학습자까지를 위해 구성되어 있으므로, 여기서 시작하거나 처음부터 시작할 수 있으며 자신의 속도대로 진행할 수 있습니다. 이것은 4개 중 3번째 강의입니다.

“연관 관계와 내장 스키마” 강의는 얼마나 걸리나요?

대부분의 CoddyKit 강의는 약 5~10분이 소요됩니다. 각 강의는 간결하고 인터랙티브하여 꾸준한 진행이 가능하며, 웹과 앱에서 중단한 부분부터 바로 시작할 수 있습니다.

이 Elixir & Phoenix: Scalable Backend Development 강의에서 코드를 작성하고 실행할 수 있나요?

네. 모든 Elixir & Phoenix: Scalable Backend Development 강의에는 내장 코드 에디터가 포함되어 있으므로, 브라우저에서 바로 실제 코드를 작성하고 실행한 후 즉시 AI 피드백을 받을 수 있습니다 — 로컬 설정이 필요 없습니다.

이 강의의 모든 강의

  1. Ecto 스키마와 데이터베이스 마이그레이션
  2. Repo, 변경 집합 및 쿼리
  3. 연관 관계와 내장 스키마
  4. 트랜잭션과 Ecto.Multi
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