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Value types

Define the exact same type in multiple services


It's common to reuse a type across multiple

. For example, you might define a generic Error interface and an ErrorCode enum:

interface Error {
code: ErrorCode!
message: String!
}
enum ErrorCode {
UNKNOWN_ERROR
NETWORK_ERROR
AUTHENTICATION_ERROR
SERVER_ERROR
}

These value types don't "originate" in a particular . Instead, all of the that define a value type share ownership.

Most importantly, a value type must be defined identically in every that defines it. Otherwise, your federated schema will fail . Not every subgraph needs to define a particular value type.

Any of the following can be a value type:

  • s
  • Objects
  • Interfaces
  • Inputs
  • Enums
  • Unions

Specific considerations for each of these are listed below.

Type-specific considerations

Scalars

If you define a

as a value type, make sure all of your use the exact same serialization and parsing logic for it. The schema process does not verify this.

Objects, interfaces, and inputs

For types with definitions, all fields and their types must be identical (including nullability).

If an is an

, it cannot be a value type.

Enums and unions

For enums and unions, all possible values must match across all defining subgraphs. Even if a particular doesn't use a particular value, that value still must be defined in the schema. Otherwise, your federated schema will fail .

Modifying a value type

As mentioned, a value type must be defined identically in every that defines it. This means that if you want to modify a value type's definition in one subgraph, you must make that same modification in each other defining . Otherwise, a error occurs.

While you are actively deploying your updated , your value type's definition will temporarily differ between subgraphs. During this time, might produce validation errors.

If you aren't using

, you must wait until all of your defining are deployed with the updated value type before you restart your gateway to compose the new .

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