GraphQL::DataLoader

A batch loading library to help prevent N+1 queries

Installation

  1. Add the dependency to your shard.yml:

    dependencies:
  graphql-dataloader:
    github: graphql-crystal/dataloader

  2. Run shards install

Usage

See examples for working examples. It's possible to use GraphQL::Dataloader outside of a GraphQL application. It can be a nice abstraction for any type data fetching benefitting from batching (i.e. fetching data from a REST API). In GraphQL however it quickly becomes almost a necessity, as you have little control over the queries your api will receive. Here's an example:

query GetUsersWithBlogPosts {
  users {
    id
    name
    blogPosts {
      id
      title
    }
  }
}
@[GraphQL::Object]
class User < GraphQL::BaseObject
  @[GraphQL::Field]
  def id : GraphQL::Scalars::ID
    GraphQL::Scalars::ID.new(@id.to_s)
  end

  @[GraphQL::Field]
  getter name : String

  @[GraphQL::Field]
  def blog_posts : Array(BlogPost)
    BlogPostQuery.new.author_id(@id).to_a
  end
end

@[GraphQL::Object]
class BlogPost < GraphQL::BaseObject
  @[GraphQL::Field]
  def id : GraphQL::Scalars::ID
    GraphQL::Scalars::ID.new(@id.to_s)
  end

  @[GraphQL::Field]
  getter title : String

  @[GraphQL::Field]
  def author : User
    UserQuery.new.find(@id)
  end
end

This will result in an N+1 query for blog posts as for each user a query like the following is run.

SELECT * FROM blog_posts WHERE author_id = $1

Things get even worse when has many relations are nested (maybe blog posts have tags?). Again: you have little control over what users of your API will do.

Here's where DataLoaders come in. Not only can they batch requests to the same resource, but they also cache already fetched resources. So even if you can't query all records for a type at once because of some dependencies in the graph, you will never fetch the same record twice. Because of this, DataLoaders should be short-lived objects best located in your GraphQL request context.

Here's how we can improve the situation above:

class UserLoader < GraphQL::DataLoader::Loader(Int32, Int32, User?)
  def fetch(batch ids : Array(Int32)) : Array(User?)
    users = UserQuery.new.id.in(ids).to_a
    # Make sure to return results having the same size and order as the batch
    ids.map { |id| users.find { |user| user.id == id } }
  end
end

class UserBlogPostsLoader < GraphQL::DataLoader::Loader(User, Int32, Array(BlogPost))
  def key_for(user : User) : Int32
    user.id
  end

  def fetch(batch users : Array(User)) : Array(Array(BlogPost))
    blog_posts = BlogPostQuery.new.author_id.in(users.map(&.id)).to_a
    users.map do |user|
      blog_posts.select { |blog_post| blog_post.author_id == user.id } }
    end
  end
end

class Context < GraphQL::Context
  getter user_loader = UserLoader.new
  getter user_blog_posts_loader = UserBlogPostsLoader.new
end

@[GraphQL::Object]
class User < GraphQL::BaseObject
  # ...

  @[GraphQL::Field]
  def blog_posts(context : Context) : Array(BlogPost)
    context.user_blog_posts_loader.load(self)
  end
end

@[GraphQL::Object]
class BlogPost < GraphQL::BaseObject
  # ...

  @[GraphQL::Field]
  def author(context : Context) : User
    context.user_loader(author_id)
  end
end

When you execute the query now, you will see something like

SELECT * FROM blog_posts WHERE author_id IN ($1, $2, $3, ...)

in your database logs. :tada:

Advanced topics

Custom Cache

You can provide a custom cache for a loader like so: MyLoader.new(my_custom_cache). It will have to implement Cache(K, V). Reasons for doing this include synchronized caches among server instances or longer lived caches if stale data isn't an issue.

Development

Run specs with crystal spec

Contributing

  1. Fork it (https://github.com/graphql-crystal/dataloader/fork)
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create a new Pull Request

Contributors