GraphQL server library for Crystal.
- Boilerplate-free: Schema generated at compile time
- Type-safe: Crystal guarantees your code matches your schema
- High performance: See benchmarks
Install the shard by adding the following to our shard.yml
:
dependencies:
graphql:
github: graphql-crystal/graphql
Then run shards install
.
The first step is to define a query object. This is the root type for all queries and it looks like this:
require "graphql"
@[GraphQL::Object]
class Query < GraphQL::BaseQuery
@[GraphQL::Field]
def hello(name : String) : String
"Hello, #{name}!"
end
end
Now we can create a schema object:
schema = GraphQL::Schema.new(Query.new)
To verify we did everything correctly, we can print out the schema:
puts schema.document.to_s
Which, among several built-in types, prints our query type:
type Query {
hello(name: String!): String!
}
To serve our API over HTTP we call schema.execute
with the request parameters and receive a JSON string. Here is an example for Kemal:
post "/graphql" do |env|
env.response.content_type = "application/json"
query = env.params.json["query"].as(String)
variables = env.params.json["variables"]?.as(Hash(String, JSON::Any)?)
operation_name = env.params.json["operationName"]?.as(String?)
schema.execute(query, variables, operation_name)
end
Now we're ready to query our API:
curl \
-X POST \
-H "Content-Type: application/json" \
--data '{ "query": "{ hello(name: \"John Doe\") }" }' \
http://0.0.0.0:3000/graphql
This should return:
{ "data": { "hello": "Hello, John Doe!" } }
For easier development, we recommend using GraphiQL. A starter template combining Kemal and GraphiQL is found at examples/graphiql.
context
is a optional argument that our fields can retrieve. It lets fields
access global data, like database connections.
# Define our own context type
class MyContext < GraphQL::Context
@pi : Float64
def initialize(@pi)
end
end
# Pass it to schema.execute
context = MyContext.new(Math::PI)
schema.execute(query, variables, operation_name, context)
# Access it in our fields
@[GraphQL::Object]
class MyMath < GraphQL::BaseObject
@[GraphQL::Field]
def pi(context : MyContext) : Float64
context.pi
end
end
Context instances must not be reused for multiple executions.
Objects are perhaps the most commonly used type in GraphQL. They are implemented
as classes. To define a object, we need a GraphQL::Object
annotation and to inherit
GraphQL::BaseObject
. Fields are methods with a GraphQL::Field
annotation.
@[GraphQL::Object]
class Foo < GraphQL::BaseObject
# type restrictions are mandatory on fields
@[GraphQL::Field]
def hello(first_name : String, last_name : String) : String
"Hello #{first_name} #{last_name}"
end
# besides basic types, we can also return other objects
@[GraphQL::Field]
def bar : Bar
Bar.new
end
end
@[GraphQL::Object]
class Bar < GraphQL::BaseObject
@[GraphQL::Field]
def baz : Float64
42_f64
end
end
For simple objects, we can use instance variables:
@[GraphQL::Object]
class Foo < GraphQL::BaseObject
@[GraphQL::Field]
property bar : String
@[GraphQL::Field]
getter baz : Float64
def initialize(@bar, @baz)
end
end
Query is the root type of all queries.
@[GraphQL::Object]
class Query < GraphQL::BaseQuery
@[GraphQL::Field]
def echo(str : String) : String
str
end
end
schema = GraphQL::Schema.new(Query.new)
Mutation is the root type for all mutations.
@[GraphQL::Object]
class Mutation < GraphQL::BaseMutation
@[GraphQL::Field]
def echo(str : String) : String
str
end
end
schema = GraphQL::Schema.new(Query.new, Mutation.new)
Input objects are objects that are used as field arguments. To define an input
object, use a GraphQL::InputObject
annotation and inherit GraphQL::BaseInputObject
.
It must define a constructor with a GraphQL::Field
annotation.
@[GraphQL::InputObject]
class User < GraphQL::BaseInputObject
getter first_name : String?
getter last_name : String?
@[GraphQL::Field]
def initialize(@first_name : String?, @last_name : String?)
end
end
Defining enums is straightforward. Just add a GraphQL::Enum
annotation:
@[GraphQL::Enum]
enum IPAddressType
IPv4
IPv6
end
The following scalar values are supported:
Int32
<->Int
Float64
<->Float
String
<->String
Bool
<->Boolean
GraphQL::Scalars::ID
<->String
Built-in custom scalars:
GraphQL::Scalars::BigInt
<->String
Custom scalars are created by implementing from_json/to_json:
@[GraphQL::Scalar]
class ReverseStringScalar < GraphQL::BaseScalar
@value : String
def initialize(@value)
end
def self.from_json(string_or_io)
self.new(String.from_json(string_or_io).reverse)
end
def to_json(builder : JSON::Builder)
builder.scalar(@value.reverse)
end
end
Interfaces are not supported.
Subscriptions are not supported.
Supported on: Object
, InputObject
, Field
, Enum
, Scalar
We can use the name
argument to customize the introspection type name of a
type. This is not needed in most situations because type names are automatically
converted to PascalCase or camelCase. However, item_id
converts to
itemId
, but we might want to use itemID
. For this, we can use the name
argument.
@[GraphQL::Object(name: "Sheep")]
class Wolf
@[GraphQL::Field(name: "baa")]
def howl : String
"baa"
end
end
Supported on: Object
, InputObject
, Field
, Enum
, Scalar
Describes the type. Descriptions are available through the introspection interface so it's always a good idea to set this argument.
@[GraphQL::Object(description: "I'm a sheep, I promise!")]
class Wolf
end
Supported on: Field
The deprecated argument marks a type as deprecated.
class Sheep
@[GraphQL::Field(deprecated: "This was a bad idea.")]
def fight_wolf : String
"Wolf ate sheep"
end
end
Sets names and descriptions for field arguments. Note that arguments cannot be marked as deprecated.
class Sheep
@[GraphQL::Field(arguments: {weapon: {name: "weaponName", description: "The weapon the sheep should use."}})]
def fight_wolf(weapon : String) : String
if weapon == "Atomic Bomb"
"Sheep killed wolf"
else
"Wolf ate sheep"
end
end
end
Field arguments are automatically resolved. A type with a default value becomes optional. A nilable type is also considered a optional type.