To make it easy to understand the capabilities of a server, GraphQL implements a human-readable schema syntax known as its Schema Definition Language, or "SDL". This GraphQL-specific syntax is encoded as a `String` type.
The SDL is used to express the "types" available within a schema and how those types relate to each other. In a simple example involving books and authors, the SDL might declare:
It's important to note that these declarations express the relationships and the shape of the data to return, not where the data comes from or how it might be stored - which will be covered outside the SDL.
By drawing these logical connections in the schema, we can allow the client (which is often a human developer, designing a front-end) to see what data is available and request it in a single optimized query.
A GraphQL query is for _reading_ data and comparable to the `GET` verb in REST-based APIs.
Thanks to the relationships which have been defined in the SDL, the client can expect that the shape of the data returned will match the shape of the query it sends.
In order to define what queries are possible on a server, a special `Query` type is defined within the SDL. The `Query` type is one of many root-level types, but the `Query` type specializes in fetching data and acts as the entry-point to other types within the schema.
Using the books and author example we created in the SDL example above, we can define _multiple_ queries which are available on a server:
```graphql
type Query {
getBooks: [Book]
getAuthors: [Author]
}
```
In this `Query` type, we define two types of queries which are available on this GraphQL server:
*`getBooks`: which returns a list of `Book` objects.
*`getAuthors`: which returns a list of `Author` objects.
Those familiar with REST-based APIs would normally find these located on separate end-points (e.g. `/api/books` and `/api/authors`), but GraphQL allows them to be queried at the same time and returned at once.
Using this query, a client could request a list of all books _and_ a separate list of all authors by sending a single `query` with exactly the types it wishes to receive in return:
```graphql
query {
getBooks {
title
}
getAuthors {
name
}
}
```
The data returned from this `query` would look like:
```json
{
"data": {
"getBooks": [
{
"title": "..."
},
...
],
"getAuthors": [
{
"name": "..."
},
...
]
}
}
```
Of course, when displaying this data on the client, it might be desirable for the `Author` to be within the `Book` that the author wrote.
Thanks to the relationship between `Book` and `Author`, which is defined in the SDL above, this `query` would look like:
```graphql
query {
getBooks {
title
author {
name
}
}
}
```
And, without additional effort on its part, the client would receive the information in the same shape as the request:
Mutations are operations sent to the server to create, update or delete data. These are comparable to the `PUT`, `POST`, `PATCH` and `DELETE` verbs on REST-based APIs.
Much like how the `Query` type defines the entry-points for data-fetching operations on a GraphQL server, the root-level `Mutation` type specifies the entry points for data-manipulation operations.
For example, when imagining a situation where the API supported adding a new `Book`, the SDL might implement the following `Mutation` type:
```graphql
type Mutation {
addBook(title: String, author: String): Book
}
```
This implements a single `addBook` mutation which accepts a `title` attribute (a `String`) and returns the newly-created `Book` object.
The new `Book` object matches the previously-created `Book` type and, much like the `Query` type, the fields we desire to receive back from the operation are specified when sending the `mutation`:
```graphql
mutation {
addBook(title: "Fox in Socks", author: "Dr. Seuss") {
title
author {
name
}
}
}
```
The result of this mutation would be:
```json
{
"data": {
"addBook": {
{
"title": "Fox in Socks",
"author": {
"name": "Dr. Seuss"
}
}
}
}
}
```
Multiple mutations may be sent in the same request, however they will be executed in the order they are provided (in series), in order to avoid race-conditions within the operation.
Introspection is an optional feature, enabled by default during development, which allows clients to explore the types a GraphQL.
Furthermore, by using (optional) string literals within the schema, it's possible to explain exactly what a field does:
```graphql
type Book {
"Returns the title of the book, as listed in the card catalog."
title: String
}
type Query {
"Fetch a list of our extensive book collection!"
getBooks: [Book]
}
```
This makes SDL-generation even easier since many GraphQL tools auto-complete the field names (along with descriptions, when available) at each level of a GraphQL operation.
