Queries

Learn how to fetch data from a GraphQL server

GraphQL supports three main operation types—queries, mutations, and subscriptions. We have already seen several examples of basic queries in this guide, and on this page, you’ll learn in detail how to use the various features of query operations to read data from a server.

Fields

At its simplest, GraphQL is about asking for specific fields on objects. Let’s start by looking at a simple query for a hero field that’s defined on the Query type in the schema:

type Query {
  hero: Character
}

We can see what the result we get when we run it:

When creating a GraphQL document we always start with a root operation type (the Query Object type for this example) because it serves as an entry point to the API. From there we must specify the selection set of fields all the way down to their leaf values, which will be Scalar or Enum types. The field name returns a String type, in this case the name of the main hero of Star Wars, "R2-D2".

The GraphQL specification indicates that a request’s result will be returned on a top-level data key in the response. If the request raised any errors, there will be information about what went wrong on a top-level errors key. From there, you can see that the result has the same shape as the query. This is essential to GraphQL, because you always get back what you expect, and the server knows exactly what fields the client is asking for.

In the previous example, we just asked for the name of our hero which returned a String, but fields can also refer to more deeply nested Object types. In that case, you can make a sub-selection of fields for that object:

GraphQL queries can traverse related objects and their fields, letting clients fetch lots of related data in one request, instead of making several roundtrips as one would need in a classic REST architecture.

Note that in this example, the friends field returns an array of items. GraphQL queries look the same for single items or lists of items; however, we know which one to expect based on what is indicated in the schema.

Arguments

If the only thing we could do was traverse objects and their fields, GraphQL would already be a very useful language for data fetching. But when you add the ability to pass arguments to fields, things get much more interesting:

type Query {
  droid(id: ID!): Droid
}

The client must then provide the required id value with the query:

In a system like REST, you can only pass a single set of arguments—the query parameters and URL segments in your request. But in GraphQL, every field and nested object can get its own set of arguments, making GraphQL a complete replacement for making multiple API fetches.

You can even pass arguments into fields that output Scalar types, to implement data transformations once on the server, instead of on every client separately:

Arguments can be of many different types. In the above example, we have used an Enum type, which represents one of a finite set of options (in this case, units of length, either METER or FOOT). GraphQL comes with a default set of types, but a GraphQL server can also declare custom types, as long as they can be serialized into your transport format.

Read more about the GraphQL type system here.

Operation type and name

In the examples above we have been using a shorthand syntax where we omit the query keyword before the operation’s selection set. In addition to specifying the operation type explicitly, we can also add a unique operation name, which is useful in production apps because it makes our code less ambiguous.

Here’s an example that includes the query keyword as the operation type and HeroNameAndFriends as the operation name:

The operation type is either query, mutation, or subscription and describes what type of operation you intend to do. This keyword is required unless you’re using the shorthand syntax for queries, and it is always required for mutations and subscriptions. Additionally, if you wish to provide a name for your operation, then you must specify the operation type as well.

The operation name is a meaningful and explicit name for your operation. It is only required when sending multiple operations in one document, but it’s encouraged because operation names are helpful for debugging and server-side logging. When something goes wrong (you see errors either in your network logs or in the logs of your GraphQL server) it is easier to identify a query in your codebase by name instead of trying to decipher the contents.

Think of this just like a function name in your favorite programming language. For example, in JavaScript, we can easily work only with anonymous functions, but when we give a function a name, it’s easier to track it down, debug our code, and log when it’s called. In the same way, GraphQL query and mutation names, along with fragment names, can be a useful debugging tool on the server side to identify different GraphQL requests.

Aliases

If you have a sharp eye, you may have noticed that, since the result object fields match the name of the fields in the query but don’t include arguments, you can’t directly query for the same field with different arguments. That’s why you need aliases—they let you rename the result of a field to anything you want.

In the above example, the two hero fields would have conflicted, but since we can alias them to different names, we can get both results in one request.

Variables

So far, we have been writing all of our arguments inside the query string. But in most applications, the arguments to fields will be dynamic. For example, there might be a dropdown that lets you select which Star Wars episode you are interested in, or a search field, or a set of filters.

It wouldn’t be a good idea to pass these dynamic arguments directly in the query string, because then our client-side code would need to dynamically manipulate the query string at runtime, and serialize it into a GraphQL-specific format. Instead, GraphQL has a first-class way to factor dynamic values out of the query and pass them as a separate dictionary. These values are called variables.

When we start working with variables, we need to do three things:

1. Replace the static value in the query with $variableName
2. Declare $variableName as one of the variables accepted by the query
3. Pass variableName: value in the separate, transport-specific (usually JSON) variables dictionary

Here’s what it looks like all together:

Now, in our client code, we can simply pass a different variable rather than needing to construct an entirely new query. In general, this is also a good practice for denoting which arguments in our query are expected to be dynamic—we should never be doing string interpolation to construct queries from user-supplied values.

Variable definitions

The variable definitions are the part that looks like ($episode: Episode) in the query above. It works just like the argument definitions for a function in a typed language. It lists all of the variables, prefixed by $, followed by their type, in this case, Episode.

All declared variables must be either Scalar, Enum, or Input Object types. So if you want to pass a complex object into a field, you need to know what input type matches it on the server.

Variable definitions can be optional or required. In the case above, since there isn’t an ! next to the Episode type, it’s optional. But if the field you are passing the variable into requires a non-null argument, then the variable has to be required as well.

To learn more about the syntax for these variable definitions, it’s useful to learn schema definition language (SDL), which is explained in detail on the Schemas and Types page.

Default variables

Default values can also be assigned to the variables in the query by adding the default value after the type declaration:

query HeroNameAndFriends($episode: Episode = JEDI) {
  hero(episode: $episode) {
    name
    friends {
      name
    }
  }
}

When default values are provided for all variables, you can call the query without passing any variables. If any variables are passed as part of the variables dictionary, they will override the defaults.

Fragments

Let’s say we have a relatively complicated page in our app, which lets us look at two heroes side by side, along with their friends. You can imagine that such a query could quickly get complicated because we would need to repeat the fields at least once —one for each side of the comparison.

That’s why GraphQL includes reusable units called fragments. Fragments let you construct sets of fields, and then include them in queries where needed. Here’s an example of how you could solve the above situation using fragments:

You can see how the above query would be pretty repetitive if the fields were repeated. The concept of fragments is frequently used to split complicated application data requirements into smaller chunks, especially when you need to combine many UI components with different fragments into one initial data fetch.

Using variables inside fragments

It is possible for fragments to access variables declared in the operation as well:

Inline Fragments

Like many other type systems, GraphQL schemas include the ability to define Interface and Union types. You can learn more about them on the Schemas and Types page.

If you are querying a field that returns an Interface or a Union type, you will need to use inline fragments to access data on the underlying concrete type. It’s easiest to see with an example:

In this query, the hero field returns the type Character, which might be either a Human or a Droid depending on the episode argument. In the direct selection, you can only ask for fields on the Character interface, such as name.

To ask for a field on the concrete type, you need to use an inline fragment with a type condition. Because the first fragment is labeled as ... on Droid, the primaryFunction field will only be executed if the Character returned from hero is of the Droid type. Similarly for the height field for the Human type.

Named fragments can also be used in the same way, since a named fragment always has a type attached.

Meta fields

As we have seen with Union types, there are some situations where you don’t know what type you’ll get back from the GraphQL service so you need some way to determine how to handle that data on the client.

GraphQL allows you to request __typename, a meta field, at any point in a query to get the name of the Object type at that point:

In the above query, search returns a Union type that can be one of three options. Without the __typename field, it would be impossible for a client to tell the different types apart.

GraphQL services provide a few more meta fields, the rest of which are used to expose the introspection system.

Directives

We discussed above how variables enable us to avoid doing manual string interpolation to construct dynamic queries. Passing variables in arguments solves a large class of these problems, but we might also need a way to dynamically change the structure and shape of our queries using variables. For example, we can imagine a UI component that has a summarized and detailed view, where one includes more fields than the other.

Let’s construct a query for such a component:

Try editing the variables above to instead pass true for withFriends, and see how the result changes.

We needed to use a feature in GraphQL called a directive. Specifically, an executable directive can be attached to a field or fragment inclusion by a client, and can affect execution of the query in any way the server desires. The core GraphQL specification includes exactly two directives, which must be supported by any spec-compliant GraphQL server implementation:

• @include(if: Boolean) Only include this field in the result if the argument is true.
• @skip(if: Boolean) Skip this field if the argument is true.

Directives can be useful to get out of situations where you otherwise would need to do string manipulation to add and remove fields in your query. Server implementations may also add experimental features by defining completely new directives.

Next steps

To recap what we’ve learned about queries:

• A GraphQL operation that reads data starts at the query root operation type and traverses the fields in the selection set down to the leaf values, which will be Scalar or Enum types
• Fields can accept arguments that alter the output of that field
• Operations can use the query, mutation, or subscription keyword to indicate their type
• The operation type keyword can be omitted for certain query operations only
• Operations can be given unique names, which can make code more expressive and help with debugging
• Field aliases allow you to rename response keys, include the same field multiple times in the same query, and provide different arguments to the aliased fields
• Variables are preceded by the $ character and can be used to provide dynamic values to field arguments
• A fragment is a reusable selection set of fields that can be used as needed in multiple queries
• Executable directive can be applied to queries to change the result of a GraphQL query when it’s executed on the server
• All spec-compliant GraphQL servers include the @include and @skip built-in directives

Not that we understand ins and outs of how to read data from a GraphQL server with query operations, so it’s time to learn how to write data as well using mutations.