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A Guide to GraphQL Schema and Data Types

In this lesson, we introduce and discuss some of GraphQL's main concepts such as the GraphQL schema, object types and resolver functions.

GraphQL Concepts#

📝 This lesson's quiz can be found - here.
🗒️ Solutions for this lesson's quiz can be found - here.
📖 This lesson's lecture slides can be found - here.

Now that we've seen the advantages of using GraphQL in a real-world example, let's dive into some core concepts. After interacting with Github's GraphQL API in the previous lesson, we know that the GraphQL query language allows us to select properties on certain object types.

For example, assume we could query the title and price fields on a listing object type that we can create.

This will return data that looks something like the following:

How do we know that the listing object has a title or a price property? Does the listing object have more properties we can select? This is where the GraphQL Schema comes in.

Every GraphQL API has a schema which completely describes all the possible data we can request. The schema is the blueprint of a GraphQL API. When a request comes in, it is validated against this schema and processed accordingly.

How do fields in the schema get processed? That's due to the second piece of a GraphQL API - the resolvers. GraphQL resolvers are functions that turn a GraphQL operation or request into data.

We'll first talk about the GraphQL schema before we dive into discussing GraphQL resolvers.

Object types#

As quoted from the GraphQL documentation, the most basic component of a GraphQL schema are the object types which represent the kind of object we can query and what properties that object has. For the example above, we could have had an object type like the following:

The above states that:

  • We're creating an object type called Listing.

  • The Listing object has a property called id which is a GraphQL ID.

  • The Listing object has a property called title which is a GraphQL String.

  • The Listing object has a property called address which is a GraphQL String.

  • The Listing object has a property called price which is a GraphQL Int.

The definitions at the end of these fields refer to the type that is to be returned from the field. (e.g. title is expected to return a string).

The syntax we're looking at here is known as the Graphql Schema Language with which we're going to talk about some more as we start to introduce GraphQL into our Node application.

A GraphQL schema allows us to develop relationships between different object types. For example, we can say the Listing object type can have a tenant field in which tenant is to be an object type of its own (e.g the User object type).

The User object type can have a similar but inverse relationship of its own where it can contain a listing field of the Listing object type.

These are one-to-one relationships where a listing can return a particular user and a user can return a certain listing. We could also have one-to-many relationships where we can say, for example, the User object type has a listings field that returns a list of listings.

In the GraphQL Schema Language, we can define a GraphQL list by using the square brackets syntax. In this case, we're stating the listings field is to return a list of Listing objects - [Listing!]!.

The ! syntax is to tell our schema that the fields are marked as non-null (i.e. the field is required to be of a certain type and never null).

We discuss more about lists and the non-null marker at the end of this lesson and in a lot more detail in the upcoming lessons.

That are two special object types within a GraphQL schema called Query and Mutation. Every GraphQL schema must have a Query type and may or may not have a Mutation type.

 

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