Spring Boot Server¶
GraphLink generates the entire Spring Boot scaffolding from your schema — controllers, service interfaces, types, inputs, and enums.
Server mode config¶
Set "mode": "server" and provide a "spring" section under serverConfig. The key options:
{
"schemaPaths": ["schema/*.graphql"],
"mode": "server",
"typeMappings": {
"ID": "String",
"String": "String",
"Float": "Double",
"Int": "Integer",
"Boolean": "Boolean",
"Null": "null"
},
"outputDir": "src/main/java/com/example/generated",
"serverConfig": {
"spring": {
"basePackage": "com.example.generated",
"generateControllers": true,
"generateInputs": true,
"generateTypes": true,
"generateRepositories": false,
"immutableInputFields": true,
"immutableTypeFields": false
}
}
}
| Option | Description |
|---|---|
generateControllers |
Generates @Controller classes with @QueryMapping, @MutationMapping, @SubscriptionMapping, and @Argument on parameters. |
generateInputs |
Generates input classes from input type definitions. |
generateTypes |
Generates entity/response classes from type definitions. |
generateRepositories |
When true, generates JPA Repository interfaces for types annotated with @glRepository. |
immutableInputFields |
Input class fields are final. Recommended: true. |
immutableTypeFields |
Type class fields are final. Set to false for Spring Boot — Spring's GraphQL runtime sets fields via setters. |
What gets generated¶
For the example schema, the generator produces 9 files:
src/main/java/com/example/generated/
controllers/
PersonServiceController.java ← generated, never touch
VehicleServiceController.java ← generated, never touch
services/
PersonService.java ← implement this
VehicleService.java ← implement this
types/
Person.java
Vehicle.java
inputs/
AddPersonInput.java
AddVehicleInput.java
enums/
FuelType.java
Controllers are generated and never touched by hand. Service interfaces are what you implement. Types, inputs, and enums are data classes.
Types and inputs¶
Server-side types are mutable — they have getters and setters, not final fields. This is required because Spring's GraphQL runtime deserializes JSON into these classes using reflection.
public class Vehicle {
private String id;
private String brand;
private String model;
private Integer year;
private FuelType fuelType;
private String ownerId;
public Vehicle() {}
public String getId() { return id; }
public void setId(String id) { this.id = id; }
public String getBrand() { return brand; }
public void setBrand(String brand) { this.brand = brand; }
public String getModel() { return model; }
public void setModel(String model) { this.model = model; }
public Integer getYear() { return year; }
public void setYear(Integer year) { this.year = year; }
public FuelType getFuelType() { return fuelType; }
public void setFuelType(FuelType fuelType) { this.fuelType = fuelType; }
public String getOwnerId() { return ownerId; }
public void setOwnerId(String ownerId) { this.ownerId = ownerId; }
}
Input classes can be immutable since Spring maps query arguments into them at the framework level using constructors or builders. Note that immutableTypeFields: false applies to type definitions only; input classes follow immutableInputFields.
Service interfaces¶
For each group of operations sharing a root type, GraphLink generates one service interface:
public interface VehicleService {
Vehicle getVehicle(String id);
List<Vehicle> listVehicles();
Vehicle addVehicle(AddVehicleInput input);
Flux<Vehicle> vehicleAdded();
}
Observe the return types:
- Queries return the domain type directly —
Vehicle, notOptional<Vehicle>orMono<Vehicle> - Subscriptions return
Flux<T>— a Project Reactor reactive stream - The method signatures exactly mirror the schema declarations
You implement this interface and annotate your implementation with @Service. You do not touch the generated controller.
Controllers¶
The generated controller is the glue between Spring's GraphQL runtime and your service. It is fully annotated and delegates every call to the service interface. You never need to modify it:
@Controller()
public class VehicleServiceController {
private final VehicleService vehicleService;
public VehicleServiceController(VehicleService vehicleService) {
this.vehicleService = vehicleService;
}
@QueryMapping()
public Vehicle getVehicle(@Argument() String id) {
return vehicleService.getVehicle(id);
}
@QueryMapping()
public List<Vehicle> listVehicles() {
return vehicleService.listVehicles();
}
@MutationMapping()
public Vehicle addVehicle(@Argument() AddVehicleInput input) {
return vehicleService.addVehicle(input);
}
@SubscriptionMapping()
public Flux<Vehicle> vehicleAdded() {
return vehicleService.vehicleAdded();
}
}
Spring's @QueryMapping, @MutationMapping, and @SubscriptionMapping use the method name to map to the schema field by convention. @Argument on method parameters maps GraphQL arguments to Java parameters by name.
Implementing the service¶
Create a @Service class in your own package (not in the generated package) that implements the generated interface:
package com.example.service;
import com.example.generated.services.VehicleService;
import com.example.generated.types.Vehicle;
import com.example.generated.inputs.AddVehicleInput;
import org.springframework.stereotype.Service;
import reactor.core.publisher.Flux;
import reactor.core.publisher.Sinks;
import java.util.List;
@Service
public class VehicleServiceImpl implements VehicleService {
private final VehicleRepository vehicleRepository;
private final Sinks.Many<Vehicle> vehicleSink =
Sinks.many().multicast().onBackpressureBuffer();
public VehicleServiceImpl(VehicleRepository vehicleRepository) {
this.vehicleRepository = vehicleRepository;
}
@Override
public Vehicle getVehicle(String id) {
return vehicleRepository.findById(id).orElse(null);
}
@Override
public List<Vehicle> listVehicles() {
return vehicleRepository.findAll();
}
@Override
public Vehicle addVehicle(AddVehicleInput input) {
Vehicle v = new Vehicle();
v.setBrand(input.getBrand());
v.setModel(input.getModel());
v.setYear(input.getYear());
v.setFuelType(input.getFuelType());
v.setOwnerId(input.getOwnerId());
Vehicle saved = vehicleRepository.save(v);
vehicleSink.tryEmitNext(saved);
return saved;
}
@Override
public Flux<Vehicle> vehicleAdded() {
return vehicleSink.asFlux();
}
}
Keep generated code separate
Put your implementations in a separate package from the generated code (e.g. com.example.service vs com.example.generated). This way, re-running the generator never overwrites your business logic.
Subscriptions with Reactor¶
Spring Boot GraphQL uses Project Reactor for subscriptions. The service interface returns Flux<T> — a reactive stream that emits items over time.
The recommended approach is Sinks.Many: a thread-safe construct that lets you push items from anywhere in your application:
// Declare a multicast sink — supports multiple concurrent subscribers
private final Sinks.Many<Vehicle> vehicleSink =
Sinks.many().multicast().onBackpressureBuffer();
// In vehicleAdded() — return the flux backed by the sink
@Override
public Flux<Vehicle> vehicleAdded() {
return vehicleSink.asFlux();
}
// When a new vehicle is saved, push it to all subscribers
vehicleSink.tryEmitNext(savedVehicle);
// When the application shuts down (optional)
vehicleSink.tryEmitComplete();
Sinks.many().multicast() allows multiple GraphQL subscribers to receive the same events simultaneously.
Reactive mode (Spring WebFlux)¶
Set "reactive": true in serverConfig.spring to generate Spring WebFlux-style controllers. Queries and mutations return Mono<T> instead of T directly, and subscriptions return Flux<T> as usual. File upload fields use FilePart instead of MultipartFile.
{
"serverConfig": {
"spring": {
"basePackage": "com.example.generated",
"reactive": true
}
}
}
With reactive: true, the generated service interface returns reactive types:
import reactor.core.publisher.Flux;
import reactor.core.publisher.Mono;
public interface VehicleService {
Mono<Vehicle> getVehicle(String id);
Flux<Vehicle> listVehicles();
Mono<Vehicle> addVehicle(AddVehicleInput input);
Flux<Vehicle> vehicleAdded();
}
The generated controllers delegate to these reactive methods directly. Spring WebFlux handles back-pressure and non-blocking I/O automatically.
Security context propagation (MVC)¶
In MVC (non-reactive) mode, Spring Security's SecurityContextHolder is thread-local. When a controller delegates to an async CompletableFuture, the security context is not automatically carried to the worker thread. Enable "useSpringSecurity": true to have GraphLink capture the context before entering the future and restore it on the worker thread:
{
"clientConfig": {
"java": {
"useSpringSecurity": true
}
}
}
When enabled, the generated controller looks like this:
@QueryMapping()
public CompletableFuture<Vehicle> getVehicle(@Argument() String id) {
SecurityContext ctx = SecurityContextHolder.getContext();
return CompletableFuture.supplyAsync(() -> {
SecurityContextHolder.setContext(ctx);
try {
return vehicleService.getVehicle(id);
} finally {
SecurityContextHolder.clearContext();
}
});
}
This option has no effect in reactive mode — Spring Security provides dedicated reactive support via ReactiveSecurityContextHolder.
Forward mappings¶
When a type is annotated with @glSkipOnServer(mapTo: "SomeServerType"), GraphLink automatically forwards fields that exist verbatim on the server type — fields with the same name and compatible type — without generating a service method or @SchemaMapping for them. Only fields absent from the server type still get full delegation.
# Map our schema Pageable to Spring Data's Pageable — don't generate a class
type Pageable @glSkipOnServer(mapTo: "org.springframework.data.domain.Pageable") {
pageNumber: Int # exists verbatim on Spring's Pageable → auto-forwarded
pageSize: Int # exists verbatim on Spring's Pageable → auto-forwarded
offset: Long # exists verbatim on Spring's Pageable → auto-forwarded
}
Fields that match are resolved directly by Spring without any service delegation. This removes the boilerplate of manually writing @SchemaMapping methods for fields that already exist on the mapped type.
File uploads¶
When your schema uses the Upload scalar, Spring Boot controllers accept MultipartFile (MVC mode) or FilePart (reactive mode):
The service interface method receives the same type as the controller, so you implement it directly without any conversion.
Validation with @glValidate¶
Add @glValidate to a mutation in your schema to instruct GraphLink to generate a validateX() method in the service interface. The controller calls this method before the main method, giving you a place to throw validation exceptions before any business logic runs.
With @glValidate on addVehicle, the generated service interface gains an extra method:
public interface VehicleService {
// Called first by the controller — throw here to abort the mutation
void validateAddVehicle(AddVehicleInput input);
Vehicle addVehicle(AddVehicleInput input);
List<Vehicle> listVehicles();
Vehicle getVehicle(String id);
Flux<Vehicle> vehicleAdded();
}
The generated controller calls validateAddVehicle before addVehicle. In your implementation, throw any exception to abort:
@Override
public void validateAddVehicle(AddVehicleInput input) {
if (input.getBrand() == null || input.getBrand().isBlank()) {
throw new IllegalArgumentException("Brand must not be blank");
}
if (input.getYear() < 1886 || input.getYear() > 2100) {
throw new IllegalArgumentException("Year out of valid range");
}
}
@Override
public Vehicle addVehicle(AddVehicleInput input) {
// Only reached if validateAddVehicle did not throw
// ...
}