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Build Status Hex.pm HexDocs Inch CI License

JSON-API Query Builder

Build Ecto queries from JSON-API requests.

Docs can be found at https://hexdocs.pm/json_api_query_builder.

Installation

The package can be installed by adding json_api_query_builder to your list of dependencies in mix.exs:

def deps do
  [{:json_api_query_builder, "~> 1.0"}]
end

Features

JSON-API Query Builder can be used to construct an efficient Ecto query to handle the following kinds of requests, in arbitrary combinations.

Sparse Fieldsets

Get all articles, including only the title and description fields

/blog/articles/?fields[article]=title,description

Sorting

Get all articles, sorted by category ascending and published descending

/blog/articles/?sort=category,-published

Included Resources

Get all articles, including related author, comments and comments user

/blog/articles/?include=author,comments,comments.user

Attribute Filters

Get all articles with the animals tag

/blog/articles/?filter[tag]=animals

Filter by related resource

Get all users who have an article with the animals tag

/blog/users?filter[article.tag]=animals

Filter included resources

Get all users, including related articles that have the animals tag

/blog/users?include=articles&filter[article][tag]=animals

Pagination

TODO

Usage

For each Ecto schema, create a related query builder module:

defmodule Article do
  use Ecto.Schema

  schema "articles" do
    field :body, :string
    field :description, :string
    field :slug, :string
    field :tag_list, {:array, :string}
    field :title, :string
    belongs_to :author, User, foreign_key: :user_id
    has_many :comments, Comment
    timestamps()
  end

  defmodule Query do
    use JsonApiQueryBuilder,
      schema: Article,
      type: "article",
      relationships: ["author", "comments"]

    @impl JsonApiQueryBuilder
    def filter(query, "tag", value), do: from(a in query, where: ^value in a.tag_list)
    def filter(query, "comments", params) do
      comment_query = from(Comment, select: [:article_id], distinct: true) |> Comment.Query.filter(params)
      from a in query, join: c in ^subquery(comment_query), on: a.id == c.article_id
    end
    def filter(query, "author", params) do
      user_query = from(User, select: [:id]) |> User.Query.filter(params)
      from a in query, join: u in ^subquery(user_query), on: a.user_id == u.id
    end

    @impl JsonApiQueryBuilder
    def include(query, "comments", comment_params) do
      from query, preload: [comments: ^Comment.Query.build(comment_params)]
    end
    def include(query, "author", author_params) do
      from query, select_merge: [:author_id], preload: [author: ^User.Query.build(author_params)]
    end
  end
end

Then in an API request handler, use the query builder:

defmodule ArticleController do
  use MyAppWeb, :controller

  def index(conn, params) do
    articles =
      params
      |> Article.Query.build()
      |> MyApp.Repo.all()

    # pass data and opts as expected by `ja_serializer`
    render("index.json-api", data: articles, opts: [
      fields: params["fields"],
      include: params["include"]
    ])
  end
end

Generated Queries

Using join: queries for filtering based on relationships, preload: queries for included resources and select: lists for sparse fieldsets, the generated queries are as efficient as what you would write by hand.

Eg the following index request:

params = %{
  "fields" => %{
    "article" => "description",
    "comment" => "body",
    "user" => "email,username"
  },
  "filter" => %{
    "articles.tag" => "animals"
  },
  "include" => "articles,articles.comments,articles.comments.user"
}
Blog.Repo.all(Blog.User.Query.build(params))

Produces one join query for filtering, and 3 preload queries

[debug] QUERY OK source="users" db=3.8ms decode=0.1ms queue=0.1ms
SELECT u0."email", u0."username", u0."id"
FROM "users" AS u0
INNER JOIN (
  SELECT DISTINCT a0."user_id" AS "user_id"
  FROM "articles" AS a0
  WHERE ($1 = ANY(a0."tag_list"))
) AS s1
ON u0."id" = s1."user_id" ["animals"]

[debug] QUERY OK source="articles" db=1.9ms
SELECT a0."description", a0."id", a0."user_id"
FROM "articles" AS a0
WHERE (a0."user_id" = ANY($1))
ORDER BY a0."user_id" [[2, 1]]

[debug] QUERY OK source="comments" db=1.7ms
SELECT c0."body", c0."id", c0."user_id", c0."article_id"
FROM "comments" AS c0
WHERE (c0."article_id" = ANY($1))
ORDER BY c0."article_id" [[4, 3, 2, 1]]

[debug] QUERY OK source="users" db=1.3ms
SELECT u0."email", u0."username", u0."id", u0."id"
FROM "users" AS u0
WHERE (u0."id" = $1) [2]

License

MIT

Contributing

GitHub issues and pull requests welcome.