Proposed by: Martin Bonnin
This document is a work in progress. A lot of the questions about introspection are closely related
to #300 (Expose user-defined meta-information via introspection API in form of directives
)
and will therefore need to be revisited based on the progress there.
GraphQL has a built-in mechanism for deprecation allowing to
gracefully remove features from the schema. The lifecycle of a feature can typically be represented as stable
-> deprecated
-> removed
.
In a lot of cases though, a feature lifecycle includes an experimental phase where it has just been added and can be
changed without warning. In this state, the feature is usable and feedback is encouraged but isn't considered stable
enough to be put in production. The feature lifecycle becomes experimental
-> stable
-> deprecated
-> removed
.
The goal of this proposal is to support the experimental
state and, moving forward, any state that requires the client
developer to make an explicit decision before using a given feature. In that sense, it's about "opting in" to using the
feature, which includes supporting experimental
states.
To give a few examples:
-
a field is experimental and might be changed or removed without prior notice (the above example).
-
a field is expensive to compute and should be used with caution.
-
a field has specific security requirements and requires a specific header or other form of authentication.
This proposal is not about security and/or hiding parts of a schema. Its goal is to make it easier to communicate opt-in features to client developer and therefore needs to expose that information.
- GitHub uses schema previews to opt-in new features.
- Kotlin has OptIn requirements that started out
as
@Experimental
before being changed to@RequiresOptIn
- Atlassian
has a
@beta
directive that is enforced during execution. A client must provide aX-ExperimentalApi: $Feature
HTTP header or the request will fail. - Midas uses a
hiddenIn
directive.
It is proposed to add an @requiresOptIn
directive to the specification:
"""
Indicates that the given field, argument, input field or enum value requires
giving explicit consent before being used.
"""
directive @requiresOptIn(feature: String!) repeatable
on FIELD_DEFINITION
| ARGUMENT_DEFINITION
| INPUT_FIELD_DEFINITION
| ENUM_VALUE
The optIn
directive can then be used in the schema. For an example, to signal an experimental field:
type Session {
id: ID!
title: String!
# [...]
startInstant: Instant @requiresOptIn(feature: "experimentalInstantApi")
endInstant: Instant @requiresOptIn(feature: "experimentalInstantApi")
}
This section is a proposal based on the current introspection mechanism. A more global mechanism ( see #300) would make it obsolete
@requiresOptIn
features should be hidden from introspection by default and include if includeRequiresOptIn
contains the
given feature:
type __Type {
kind: __TypeKind!
name: String
# [...] other fields omitted for clarity
# includeRequiresOptIn is a list of features to include
fields(includeDeprecated: Boolean = false, includeRequiresOptIn: [String!]): [__Field!]
}
Tools can get a list of @requiresOptIn
features required to use a field (or input field, argument, enum value)
using requiresOptIn
:
type __Field {
name: String!
isDeprecated: Boolean!
# [...] other fields omitted for clarity
# list of @requiresOptIn features required to use this field
requiresOptIn: [String!]
args(includeDeprecated: Boolean = false, includeRequiresOptIn: [String!]): [__InputValue!]!
}
A given field is included in introspection results if all the conditions are satisfied. In pseudo code, if the following condition is true:
includeRequiresOptIn.containsAll(field.requiresOptIn) && (includeDeprecated || !field.isDeprecated)
Similarly to deprecation, the @requiresOptIn
directive must
not appear on required (non-null without a default) arguments or input object field definitions.
In other words, @requiresOptIn
arguments or input fields, must be either nullable or have a default value.
# Indicates that the given field or enum value is still experimental and might be changed
# in a backward incompatible manner
directive @experimental(
reason: String! = "Experimental"
) on FIELD_DEFINITION | ARGUMENT_DEFINITION | INPUT_FIELD_DEFINITION | ENUM_VALUE
Pros:
- simple
- symmetrical with
@deprecated
Cons:
- doesn't account for opt-in requirements that are not experimental
- makes it harder to group by features.
reason
could be used for this but it is less explicit thanfeature
The spec defines a directive named @requiresOptIn (and in doing so introduces the need to be able to apply directives to directive definitions)
directive @requiresOptIn on DIRECTIVE_DEFINITION
Services create a directive for each distinct opt-in feature they want in their schema:
# optIn usage defines @experimentalDeploymentApi as an opt-in marker
directive @experimentalDeploymentApi on FIELD_DEFINITION @requiresOptIn
type Query {
deployment: Deployment @experimentalDeploymentApi
}
enum WorkspaceKind {
CROSS_PROJECT
CROSS_COMPANY
}
directive @workspaces(kind: WorkspaceKind) on FIELD_DEFINITION @requiresOptIn
type Deployment {
workspaces: [Workspace] @workspaces(kind: CROSS_COMPANY)
}
Pros:
- gives more control to the user about the directive used
- has more type information
Cons:
- more complex
- requires a grammar change
This proposal started out with a very simple premise and implementation, and has gotten more complex as the community has explored edge cases and facets about how GraphQL is actually used in practice.
This decision log was written with newcomers in mind to avoid rediscussing issues that have already been hashed out, and to make it easier to understand why certain decisions have been made. At the time of writing, the decisions here aren't set in stone, so any future discussions can use this log as a starting point.
Initially, the directive name was @experimental
then @optIn
to account for other use cases than just experimental
status before settling on @requiresOptIn
because it is both more explicit and leaves room for clients to use an @optIn
directive.