This library provides extended scalars for graphql-java
GraphQL Scalars are the primitive leaf values in the GraphQL type system which cannot be queried further via sub-field selections.
The GraphQL Specification defines String
, Int
, Float
, Boolean
and ID
as well-defined built-in scalars that must be present in a graphql type
system. Beyond these, it is up to an implementation to decide what custom scalars are present.
You would use custom scalars when you want to describe more meaningful behavior or ranges of values.
To use this library put the following into your gradle config
implementation 'com.graphql-java:graphql-java-extended-scalars:21.0'
or the following into your Maven config
<dependency>
<groupId>com.graphql-java</groupId>
<artifactId>graphql-java-extended-scalars</artifactId>
<version>21.0</version>
</dependency>
Note:
use 21.0 or above for graphql-java 21.x and above
use 20.2 for graphql-java 20.x
use 19.1 for graphql-java 19.x
Register the scalar with graphql-java
RuntimeWiring.newRuntimeWiring().scalar(ExtendedScalars.DateTime)
If you are using Spring for GraphQL, register the scalar with RuntimeWiringConfigurer
@Configuration
public class GraphQlConfig {
@Bean
public RuntimeWiringConfigurer runtimeWiringConfigurer() {
return wiringBuilder -> wiringBuilder.scalar(ExtendedScalars.DateTime);
}
}
If you are using Netflix DGS, please see their configuration documentation.
The GraphQL Specification recommends the use of the @specifiedBy built-in schema directive to provide a scalar specification URL for specifying the behavior of custom scalar types.
directive @specifiedBy(url: String!) on SCALAR
To use a extended scalar in your schema, define the scalar like shown below for DateTime
scalar DateTime
@specifiedBy(url: "https://scalars.graphql.org/andimarek/date-time.html")
type Something {
someDateTime: DateTime
}
Scalar Definition | Description |
scalar AliasedScalar |
You can create aliases for existing scalars to add more semantic meaning to them. |
For example a link to a social media post could be representing by a String
but the name SocialMediaLink
is a
more semantically meaningful name for that scalar type.
For example, you would build it like this:
AliasedScalar socialMediaLink = ExtendedScalars.newAliasedScalar("SocialMediaLink")
.aliasedScalar(Scalars.GraphQLString)
.build()
And use it in a SDL schema like this :
type Customer {
name: String
socialMediaLink: SocialMediaLink
}
Scalar Definition | Description |
scalar DateTime
@specifiedBy(url:
"https://scalars.graphql.org/andimarek/date-time.html"
) |
A RFC-3339 compliant date time scalar that accepts string values like 1996-12-19T16:39:57-08:00 and produces java.time.OffsetDateTime objects at runtime. |
scalar Date
@specifiedBy(url:
"https://tools.ietf.org/html/rfc3339"
) |
A RFC-3339 compliant date scalar that accepts string values like 1996-12-19 and produces java.time.LocalDate objects at runtime. |
scalar Time
@specifiedBy(url:
"https://tools.ietf.org/html/rfc3339"
) |
A RFC-3339 compliant time scalar that accepts string values like 16:39:57-08:00 and produces java.time.OffsetTime objects at runtime. |
scalar LocalTime |
24-hour clock time string in the format hh:mm:ss.sss or hh:mm:ss if partial seconds is zero and produces java.time.LocalTime objects at runtime. |
An example declaration in SDL might be:
type Customer {
birthDay: Date
workStartTime: Time
bornAt: DateTime
}
type Query {
customers(bornAfter: DateTime): [Customers]
}
And example query might look like:
query {
customers(bornAfter: "1996-12-19T16:39:57-08:00") {
birthDay
bornAt
}
}
Scalar Definition | Description |
scalar UUID
@specifiedBy(url:
"https://tools.ietf.org/html/rfc4122"
) |
A universally unique identifier scalar that accepts uuid values like 2423f0a0-3b81-4115-a189-18df8b35e8fc and produces java.util.UUID instances at runtime. |
Scalar Definition | Description |
scalar PositiveInt |
An Int scalar that MUST be greater than zero. |
scalar NegativeInt |
An Int scalar that MUST be less than zero. |
scalar NonPositiveInt |
An Int scalar that MUST be less than or equal to zero. |
scalar NonNegativeInt |
An Int scalar that MUST be greater than or equal to zero. |
scalar PositiveFloat |
An Float scalar that MUST be greater than zero. |
scalar NegativeFloat |
An Float scalar that MUST be less than zero. |
scalar NonPositiveFloat |
An Float scalar that MUST be less than or equal to zero. |
scalar NonNegativeFloat |
An Float scalar that MUST be greater than or equal to zero. |
The numeric scalars are derivations of the standard GraphQL Int
and Float
scalars that enforce range limits.
An example declaration in SDL might be:
type Customer {
name: String
currentHeight: PositiveInt
weightLossGoal: NonPositiveInt
averageWeightLoss: NegativeFloat
}
type Query {
customers(height: PositiveInt): [Customers]
}
And example query might look like:
query {
customers(height: 182) {
name
height
weightLossGoal
}
}
Scalar Definition | Description |
scalar GraphQLLong |
A scalar which represents java.lang.Long |
scalar GraphQLShort |
A scalar which represents java.lang.Short |
scalar GraphQLByte |
A scalar which represents java.lang.Byte |
scalar GraphQLBigDecimal |
A scalar which represents java.lang.BigDecimal |
scalar GraphQLBigInteger |
A scalar which represents java.lang.BigInteger |
scalar GraphQLChar |
A scalar which represents java.lang.Character |
Scalar Definition | Description |
scalar Locale
@specifiedBy(url:
"https://tools.ietf.org/html/bcp47"
) |
The Locale scalar handles IETF BCP 47 language tags via the JDK method Locale.forLanguageTag. |
type Customer {
name: String
locale: Locale
}
type Query {
customers(inLocale: Locale): [Customers]
}
An example query to look for customers in the Romanian locale might look like:
query {
customers(inLocale: "ro-RO") {
name
locale
}
}
Scalar Definition | Description |
scalar CountryCode
@specifiedBy(url:
"https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2"
) |
The CountryCode scalar type as defined by ISO 3166-1 alpha-2. |
An example declaration in SDL might be:
scalar CountryCode
type Customer {
name: String
countryCode: CountryCode
}
And example query might look like:
query {
customers(code: "US") {
name
countryCode
}
}
Scalar Definition | Description |
scalar Currency
@specifiedBy(url:
"https://en.wikipedia.org/wiki/ISO_4217"
) |
A field whose value is an ISO-4217 currency. |
An example declaration in SDL might be:
scalar Currency
type Account {
id: String
currency: Currency
accountNumber: String
}
And example query might look like:
query {
accounts(currency: "USD") {
id
currency
accountNumber
}
}
Scalar Definition | Description |
scalar URL
@specifiedBy(url:
"https://www.w3.org/Addressing/URL/url-spec.txt"
) |
An url scalar that accepts string values like https://www.w3.org/Addressing/URL/url-spec.txt and produces java.net.URL objects at runtime. |
Scalar Definition | Description |
scalar Object |
An object scalar that accepts any object as a scalar value. |
scalar JSON |
A synonym for the Object scalar, it will accept any object as a scalar value. |
One of the design goals of GraphQL, is that the type system describes the shape of the data returned.
The Object
/ JSON
scalars work against this some what because they can return compound values outside the type system. As such
they should be used sparingly. In general your should aim to describe the data via the GraphQL type system where you can and only
resort to the Object
/ JSON
scalars in very rare circumstances.
An example might be an extensible GraphQL system where systems can input custom metadata objects that cant be known at schema type design time.
An example declaration in SDL might be:
type Customer {
name: String
associatedMetaData: JSON
}
type Query {
customers(filterSyntax: JSON): [Customers]
}
And example query might look like:
query {
customers(
filterSyntax: {
startSpan: "First"
matchCriteria: { countryCode: "AU", isoCodes: ["27B-34R", "95A-E23"] }
}
) {
name
associatedMetaData
}
}
Note : The JSON
scalar is a simple alias type to the Object
scalar because often the returned data is a blob of JSON. They are
all just objects at runtime in graphql-java
terms and what network serialization protocol is up to you. Choose whichever name you think
adds more semantic readers to your schema consumers.
Scalar Name | Description |
RegexScalar |
Allows you to build a new scalar via a builder pattern using regular expressions. |
The RegexScalar has a builder where you provide one or more regex patterns that control the acceptable values for a new scalar.
You name the scalar and it provides an implementation.
For example, imagine a phoneNumber
scalar like this :
RegexScalar phoneNumberScalar = ExtendedScalars.newRegexScalar("phoneNumber")
.addPattern(Pattern.compile("\\([0-9]*\\)[0-9]*"))
.build()