This appendix focuses on the specification of the {FieldSelectionMap} scalar
type. {FieldSelectionMap} is designed to express semantic equivalence between
arguments of a field and fields within the result type. Specifically, it allows
defining complex relationships between input arguments and fields in the output
object by encapsulating these relationships within a parsable string format. It
is used in the @is
and @require
directives.
To illustrate, consider a simple example from a GraphQL schema:
type Query {
userById(userId: ID! @is(field: "id")): User! @lookup
}
In this schema, the userById
query uses the @is
directive with
{FieldSelectionMap} to declare that the userId
argument is semantically
equivalent to the User.id
field.
An example query might look like this:
query {
userById(userId: "123") {
id
}
}
Here, it is expected that the userId
"123" corresponds directly to User.id
,
resulting in the following response if correctly implemented:
{
"data": {
"userById": {
"id": "123"
}
}
}
The {FieldSelectionMap} scalar is represented as a string that, when parsed, produces a {SelectedValue}.
A {SelectedValue} must exactly match the shape of the argument value to be considered valid. For non-scalar arguments, you must specify each field of the input type in {SelectedObjectValue}.
extend type Query {
findUserByName(user: UserInput! @is(field: "{ firstName: firstName }")): User
@lookup
}
extend type Query {
findUserByName(user: UserInput! @is(field: "firstName")): User @lookup
}
The {FieldSelectionMap} scalar type is used to establish semantic equivalence between an argument and fields within a specific output type. This output type is always a composite type, but the way it's determined can vary depending on the directive and context in which the {FieldSelectionMap} is used.
For example, when used with the @is
directive, the {FieldSelectionMap} maps
between the argument and fields in the return type of the field. However, when
used with the @require
directive, it maps between the argument and fields in
the object type on which the field is defined.
Consider this example:
type Product {
id: ID!
delivery(
zip: String!
size: Int! @require(field: "dimension.size")
weight: Int! @require(field: "dimension.weight")
): DeliveryEstimates
}
In this case, "dimension.size"
and "dimension.weight"
refer to fields of the
Product
type, not the DeliveryEstimates
return type.
Consequently, a {FieldSelectionMap} must be interpreted in the context of a specific argument, its associated directive, and the relevant output type as determined by that directive's behavior.
Examples
Scalar fields can be mapped directly to arguments.
This example maps the Product.weight
field to the weight
argument:
type Product {
shippingCost(weight: Float @require(field: "weight")): Currency
}
This example maps the Product.shippingWeight
field to the weight
argument:
type Product {
shippingCost(weight: Float @require(field: "shippingWeight")): Currency
}
Nested fields can be mapped to arguments by specifying the path. This example
maps the nested field Product.packaging.weight
to the weight
argument:
type Product {
shippingCost(weight: Float @require(field: "packaging.weight")): Currency
}
Complex objects can be mapped to arguments by specifying each field.
This example maps the Product.width
and Product.height
fields to the
dimension
argument:
type Product {
shippingCost(
dimension: DimensionInput @require(field: "{ width: width height: height }")
): Currency
}
The shorthand equivalent is:
type Product {
shippingCost(
dimension: DimensionInput @require(field: "{ width height }")
): Currency
}
In case the input field names do not match the output field names, explicit mapping is required.
type Product {
shippingCost(
dimension: DimensionInput @require(field: "{ w: width h: height }")
): Currency
}
Even if Product.dimension
has all the fields needed for the input object, an
explicit mapping is always required.
This example is NOT allowed because it lacks explicit mapping:
type Product {
shippingCost(dimension: DimensionInput @require(field: "dimension")): Currency
}
Instead, you can traverse into output fields by specifying the path.
This example shows how to map nested fields explicitly:
type Product {
shippingCost(
dimension: DimensionInput
@require(field: "{ width: dimension.width height: dimension.height }")
): Currency
}
The path does NOT affect the structure of the input object. It is only used to traverse the output object:
type Product {
shippingCost(
dimension: DimensionInput
@require(field: "{ width: size.width height: size.height }")
): Currency
}
To avoid repeating yourself, you can prefix the selection with a path that ends in a dot to traverse INTO the output type.
This affects how fields get interpreted but does NOT affect the structure of the input object:
type Product {
shippingCost(
dimension: DimensionInput @require(field: "dimension.{ width height }")
): Currency
}
This example is equivalent to the previous one:
type Product {
shippingCost(
dimension: DimensionInput @require(field: "size.{ width height }")
): Currency
}
The path syntax is required for lists because list-valued path expressions would be ambiguous otherwise.
This example is NOT allowed because it lacks the dot syntax for lists:
type Product {
shippingCost(
dimensions: [DimensionInput]
@require(field: "{ width: dimensions.width height: dimensions.height }")
): Currency
}
Instead, use the path syntax and brackets to specify the list elements:
type Product {
shippingCost(
dimensions: [DimensionInput] @require(field: "dimensions[{ width height }]")
): Currency
}
With the path syntax it is possible to also select fields from a list of nested objects:
type Product {
shippingCost(partIds: @require(field: "parts[id]")): Currency
}
For more complex input objects, all these constructs can be nested. This allows for detailed and precise mappings.
This example nests the weight
field and the dimension
object with its
width
and height
fields:
type Product {
shippingCost(
package: PackageInput
@require(field: "{ weight, dimension: dimension.{ width height } }")
): Currency
}
This example nests the weight
field and the size
object with its width
and
height
fields:
type Product {
shippingCost(
package: PackageInput
@require(field: "{ weight, size: dimension.{ width height } }")
): Currency
}
The label can be used to nest values that aren't nested in the output.
This example nests Product.width
and Product.height
under dimension
:
type Product {
shippingCost(
package: PackageInput
@require(field: "{ weight, dimension: { width height } }")
): Currency
}
In the following example, dimensions are nested under dimension
in the output:
type Product {
shippingCost(
package: PackageInput
@require(field: "{ weight, dimension: dimension.{ width height } }")
): Currency
}
According to the GraphQL specification, an argument is a key-value pair in which
the key is the name of the argument and the value is a Value
.
The Value
of an argument can take various forms: it might be a scalar value
(such as Int
, Float
, String
, Boolean
, Null
, or Enum
), a list
(ListValue
), an input object (ObjectValue
), or a Variable
.
Within the scope of the {FieldSelectionMap}, the relationship between input and
output is established by defining the Value
of the argument as a selection of
fields from the output object.
Yet only certain types of Value
have a semantic meaning. ObjectValue
and
ListValue
are used to define the structure of the value. Scalar values, on the
other hand, do not carry semantic importance in this context.
While variables may have legitimate use cases, they are considered out of scope for the current discussion.
However, it's worth noting that there could be potential applications for allowing them in the future.
Given that these potential values do not align with the standard literals defined in the GraphQL specification, a new literal called {SelectedValue} is introduced, along with {SelectedObjectValue}.
Beyond these literals, an additional literal called {Path} is necessary.
Is equivalent to the {Name} defined in the GraphQL specification
Path ::
- < TypeName > . PathSegment
- PathSegment
PathSegment ::
- FieldName
- FieldName . PathSegment
- FieldName < TypeName > . PathSegment
FieldName ::
- Name
TypeName ::
- Name
The {Path} literal is a string used to select a single output value from the
return type by specifying a path to that value. This path is defined as a
sequence of field names, each separated by a period (.
) to create segments.
book.title
Each segment specifies a field in the context of the parent, with the root segment referencing a field in the return type of the query. Arguments are not allowed in a {Path}.
To select a field when dealing with abstract types, the segment selecting the parent field must specify the concrete type of the field using angle brackets after the field name if the field is not defined on an interface.
In the following example, the path mediaById<Book>.isbn
specifies that
mediaById
returns a Book
, and the isbn
field is selected from that Book
.
mediaById<Book>.isbn
SelectedValue ::
- Path
- SelectedObjectValue
- Path . SelectedObjectValue
- SelectedValue | SelectedValue
A {SelectedValue} is defined as either a {Path} or a {SelectedObjectValue}
A {Path} is designed to point to only a single value, although it may reference
multiple fields depending on the return type. To allow selection from different
paths based on type, a {Path} can include multiple paths separated by a pipe
(|
).
In the following example, the value could be title
when referring to a Book
and movieTitle
when referring to a Movie
.
mediaById<Book>.title | mediaById<Movie>.movieTitle
The |
operator can be used to match multiple possible {SelectedValue}. This
operator is applied when mapping an abstract output type to a @oneOf
input
type.
{ movieId: <Movie>.id } | { productId: <Product>.id }
{ nested: { movieId: <Movie>.id } | { productId: <Product>.id }}
SelectedObjectValue ::
- { SelectedObjectField+ }
SelectedObjectField ::
- Name: SelectedValue
{SelectedObjectValue} are unordered lists of keyed input values wrapped in
curly-braces {}
. It has to be used when the expected input type is an object
type.
This structure is similar to the ObjectValue
defined in the GraphQL
specification, but it differs by allowing the inclusion of {Path} values within
a {SelectedValue}, thus extending the traditional ObjectValue
capabilities to
support direct path selections.
A {SelectedObjectValue} following a {Path} is scoped to the type of the field
selected by the {Path}. This means that the root of all {SelectedValue} inside
the selection is no longer scoped to the root (defined by @is
or @require
)
but to the field selected by the {Path}. The {Path} does not affect the
structure of the input type.
This allows for reducing repetition in the selection.
The following example is valid:
type Product {
dimension: Dimension!
shippingCost(
dimension: DimensionInput! @require(field: "dimension.{ size weight }")
): Int!
}
The following example is equivalent to the previous one:
type Product {
dimensions: Dimension!
shippingCost(
dimensions: DimensionInput!
@require(field: "{ size: dimensions.size weight: dimensions.weight }")
): Int! @lookup
}
SelectedListValue ::
- [ SelectedValue ]
A {SelectedListValue} is an ordered list of {SelectedValue} wrapped in square
brackets []
. It is used to express semantic equivalence between an argument
expecting a list of values and the values of a list field within the output
object.
The {SelectedListValue} differs from the ListValue
defined in the GraphQL
specification by only allowing one {SelectedValue} as an element.
The following example is valid:
type Product {
parts: [Part!]!
partIds(partIds: [ID!]! @require(field: "parts[id]")): [ID!]!
}
In this example, the partIds
argument is semantically equivalent to the id
fields of the parts
list.
The following example is invalid because it uses multiple {SelectedValue} as elements:
type Product {
parts: [Part!]!
partIds(parts: [PartInput!]! @require(field: "parts[id name]")): [ID!]!
}
input PartInput {
id: ID!
name: String!
}
A {SelectedObjectValue} can be used as an element of a {SelectedListValue} to select multiple object fields as long as the input type is a list of structurally equivalent objects.
Similar to {SelectedObjectValue}, a {SelectedListValue} following a {Path} is
scoped to the type of the field selected by the {Path}. This means that the root
of all {SelectedValue} inside the selection is no longer scoped to the root
(defined by @is
or @require
) but to the field selected by the {Path}. The
{Path} does not affect the structure of the input type.
The following example is valid:
type Product {
parts: [Part!]!
partIds(parts: [PartInput!]! @require(field: "parts[{ id name }]")): [ID!]!
}
input PartInput {
id: ID!
name: String!
}
In case the input type is a nested list, the shape of the input object must match the shape of the output object.
type Product {
parts: [[Part!]]!
partIds(
parts: [[PartInput!]]! @require(field: "parts[[{ id name }]]")
): [ID!]!
}
input PartInput {
id: ID!
name: String!
}
The following example is valid:
type Query {
findLocation(
location: LocationInput!
@is(field: "{ coordinates: coordinates[{lat: x lon: y}]}")
): Location @lookup
}
type Coordinate {
x: Int!
y: Int!
}
type Location {
coordinates: [Coordinate!]!
}
input PositionInput {
lat: Int!
lon: Int!
}
input LocationInput {
coordinates: [PositionInput!]!
}
Validation ensures that {FieldSelectionMap} scalars are semantically correct within the given context.
Validation of {FieldSelectionMap} scalars occurs during the composition phase, ensuring that all {FieldSelectionMap} entries are syntactically correct and semantically meaningful relative to the context.
Composition is only possible if the {FieldSelectionMap} is validated successfully. An invalid {FieldSelectionMap} results in undefined behavior, making composition impossible.
In this section, we will assume the following type system in order to demonstrate examples:
type Query {
mediaById(mediaId: ID!): Media
findMedia(input: FindMediaInput): Media
searchStore(search: SearchStoreInput): [Store]!
storeById(id: ID!): Store
}
type Store {
id: ID!
city: String!
media: [Media!]!
}
interface Media {
id: ID!
}
type Book implements Media {
id: ID!
title: String!
isbn: String!
author: Author!
}
type Movie implements Media {
id: ID!
movieTitle: String!
releaseDate: String!
}
type Author {
id: ID!
books: [Book!]!
}
input FindMediaInput @oneOf {
bookId: ID
movieId: ID
}
type SearchStoreInput {
city: String
hasInStock: FindMediaInput
}
Each segment of a {Path} must correspond to a valid field defined on the current type context.
Formal Specification
- For each {segment} in the {Path}:
- If the {segment} is a field
- Let {fieldName} be the field name in the current {segment}.
- {fieldName} must be defined on the current type in scope.
- If the {segment} is a field
Explanatory Text
The {Path} literal is used to reference a specific output field from a input field. Each segment in the {Path} must correspond to a field that is valid within the current type scope.
For example, the following {Path} is valid in the context of Book
:
title
<Book>.title
Incorrect paths where the field does not exist on the specified type is not
valid result in validation errors. For instance, if <Book>.movieId
is
referenced but movieId
is not a field of Book
, will result in an invalid
{Path}.
movieId
<Book>.movieId
Each terminal segment of a {Path} must follow the rules regarding whether the selected field is a leaf node.
Formal Specification
- For each {segment} in the {Path}:
- Let {selectedType} be the unwrapped type of the current {segment}.
- If {selectedType} is a scalar or enum:
- There must not be any further segments in {Path}.
- If {selectedType} is an object, interface, or union:
- There must be another segment in {Path}.
Explanatory Text
A {Path} that refers to scalar or enum fields must end at those fields. No further field selections are allowed after a scalar or enum. On the other hand, fields returning objects, interfaces, or unions must continue to specify further selections until you reach a scalar or enum field.
For example, the following {Path} is valid if title
is a scalar field on the
Book
type:
book.title
The following {Path} is invalid because title
should not have subselections:
book.title.something
For non-leaf fields, the {Path} must continue to specify subselections until a leaf field is reached:
book.author.id
Invalid {Path} where non-leaf fields do not have further selections:
book.author
Each segment of a {Path} that references a type, must be a type that is valid in the current context.
Formal Specification
- For each {segment} in a {Path}:
- If {segment} is a type reference:
- Let {type} be the type referenced in the {segment}.
- Let {parentType} be the type of the parent of the {segment}.
- Let {applicableTypes} be the intersection of {GetPossibleTypes(type)} and {GetPossibleTypes(parentType)}.
- {applicableTypes} must not be empty.
- If {segment} is a type reference:
GetPossibleTypes(type):
- If {type} is an object type, return a set containing {type}.
- If {type} is an interface type, return the set of types implementing {type}.
- If {type} is a union type, return the set of possible types of {type}.
Explanatory Text
Type references inside a {Path} must be valid within the context of the surrounding type. A type reference is only valid if the referenced type could logically apply within the parent type.
Formal Specification
- For each SelectedValue {value}:
- Let {type} be the type expected in the position {value} is found.
- {value} must be coercible to {type}.
Explanatory Text
Literal values must be compatible with the type expected in the position they are found.
The following examples are valid use of value literals in the context of {FieldSelectionMap} scalar:
type Query {
storeById(id: ID! @is(field: "id")): Store! @lookup
}
type Store {
id: ID
city: String!
}
Non-coercible values are invalid. The following examples are invalid:
type Query {
storeById(id: ID! @is(field: "id")): Store! @lookup
}
type Store {
id: Int
city: String!
}
Formal Specification
- For each Selected Object Field {field} in the document:
- Let {fieldName} be the Name of {field}.
- Let {fieldDefinition} be the field definition provided by the parent selected object type named {fieldName}.
- {fieldDefinition} must exist.
Explanatory Text
Every field provided in an selected object value must be defined in the set of possible fields of that input object's expected type.
For example, the following is valid:
type Query {
storeById(id: ID! @is(field: "id")): Store! @lookup
}
type Store {
id: ID
city: String!
}
In contrast, the following is invalid because it uses a field "address" which is not defined on the expected type:
extend type Query {
storeById(id: ID! @is(field: "address")): Store! @lookup
}
type Store {
id: ID
city: String!
}
Formal Specification
- For each selected object value {selectedObject}:
- For every {field} in {selectedObject}:
- Let {name} be the Name of {field}.
- Let {fields} be all Selected Object Fields named {name} in {selectedObject}.
- {fields} must be the set containing only {field}.
- For every {field} in {selectedObject}:
Explanatory Text
Selected objects must not contain more than one field with the same name, as it would create ambiguity and potential conflicts.
For example, the following is invalid:
extend type Query {
storeById(id: ID! @is(field: "id id")): Store! @lookup
}
type Store {
id: ID
city: String!
}
Formal Specification
- For each Selected Object:
- Let {fields} be the fields provided by that Selected Object.
- Let {fieldDefinitions} be the set of input object field definitions of that Selected Object.
- For each {fieldDefinition} in {fieldDefinitions}:
- Let {type} be the expected type of {fieldDefinition}.
- Let {defaultValue} be the default value of {fieldDefinition}.
- If {type} is Non-Null and {defaultValue} does not exist:
- Let {fieldName} be the name of {fieldDefinition}.
- Let {field} be the input object field in {fields} named {fieldName}.
- {field} must exist.
Explanatory Text
Input object fields may be required. This means that a selected object field is required if the corresponding input field is required. Otherwise, the selected object field is optional.
For instance, if the UserInput
type requires the id
field:
input UserInput {
id: ID!
name: String!
}
Then, an invalid selection would be missing the required id
field:
extend type Query {
userById(user: UserInput! @is(field: "{ name: name }")): User! @lookup
}
If the UserInput
type requires the name
field, but the User
type has an
optional name
field, the following selection would be valid.
extend type Query {
findUser(input: UserInput! @is(field: "{ name: name }")): User! @lookup
}
type User {
id: ID
name: String
}
input UserInput {
id: ID
name: String!
}
But if the UserInput
type requires the name
field but it's not defined in
the User
type, the selection would be invalid.
extend type Query {
findUser(input: UserInput! @is(field: "{ id: id }")): User! @lookup
}
type User {
id: ID
}
input UserInput {
id: ID
name: String!
}