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graphql-schemas.md

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GraphQL at a glance

On code.store platform we decided to use GraphQL as a primary way to interact with your services. You'll need to learn GraphQL basics to create code.store services (even if we do support REST, if you really want to be old-school).

While you'll find all the details on GraphQL site, we've prepared you a short summary of GraphQL basics here.

What is GraphQL ?

GraphQL is an API standard that provides a more efficient, powerful and flexible alternative to REST. It was developed and open-sourced by Facebook but now many companies, including us support and rely of GraphQL. We do think it will become worldwide API standard very soon.

code.store GraphQL service is created by defining types and fields on those types, then providing micro-services for each field on each type.

GraphQL types

GraphQL has its own type system that’s used to define the schema of an API. The syntax for writing schemas is called Schema Definition Language (SDL).

Here is an example how we can use the SDL to define a simple type called Product:

type Product { 
    title: String! 
    SKU: ID!
    descirption: String!
    price: Float!
    stock: Int!
    category: Category!
}

There are 5 built-in scalar types with GraphQL: Int, Float, String, Boolean and ID. Scalar types, as opposed to object types, point to actual data. The ID type resolves to a string, but expects a unique value.

Enumerations

Enumeration types allow to define a specific subset of possible values for a type. In the previous example, the Category enum type can take a value of Clothes, Shoes or Watches and anything else will result in a validation error. We need to update our example providing definition of our enumeration category :

enum Category {
  Clothes
  Shoes
  Watches
}

type Product { 
    title: String! 
    SKU: ID!
    descirption: String!
    price: Float!
    stock: Int!
    category: Category!
}

Type modifiers

Modifiers can be used on the type that a field resolves to, by using characters like ! and […]. Here’s a breakdown, using the String scalar type as an example:

  • String: nullable string (the resolved value can be null)
  • String!: Non-nullable string (if the resolved value is null, an error will be raised)
  • [String]: Nullable list of nullable string values. The entire value can be null, or specific list elements can be null.
  • [String!]: Nullable list of non-nullable string values. Then entire value can be null, but specific list elements cannot be null.
  • [String!]!: Non-nullable list of non-nullable string values. Nothing can be null, neither the whole value nor the individual items.

GraphQL queries execution

GraphQL doesn’t just specify a way to describe schemas and a query language to retrieve data from those schemas, but an actual execution algorithm for how those queries are transformed into results. This algorithm is quite simple at its core: the query is traversed field by field, executing “resolvers” for each field.

The payload of a GraphQL query (or mutation) consists of a set of fields. In code.store, each of these fields actually corresponds to exactly one service that’s called a resolver. The sole purpose of a resolver function is to fetch the data for its field.

When code.store receives a query, it will call all the functions for the fields that are specified in the query’s payload. It thus resolves the query and is able to retrieve the correct data for each field. Once all resolvers returned, code.store will package data up in the format that was described by the query and send it back to the client.