Mesclando Vários Esquemas GraphQL
Implemente a composição de esquemas em um ambiente Spring Boot para combinar e expor vários serviços GraphQL.
Mesclando Vários Esquemas GraphQL é uma aula grátis de GraphQL APIs with Spring Boot no CoddyKit. Esta é a aula 3 de 4. Você pode ler a aula completa abaixo gratuitamente — depois pratica ao vivo no navegador com um editor de código integrado e um tutor de IA 24/7. Faz parte do caminho de aprendizado de GraphQL APIs with Spring Boot, e seu progresso é sincronizado entre a web e o app CoddyKit. O curso de GraphQL APIs with Spring Boot inclui 4 aulas no total.
Partes desta aula ainda não foram traduzidas e aparecem em inglês.
Unifying Your GraphQL APIs
As your application grows, you might find yourself with multiple independent GraphQL services. How do you present them as a single, cohesive API to your clients?
This lesson will guide you through implementing schema stitching in a Spring Boot application. You'll learn to combine multiple backend GraphQL schemas into one unified endpoint.
Acting as a Gateway
A GraphQL Gateway acts as a central entry point for all your client applications. Instead of clients querying multiple services directly, they query the gateway.
- The gateway knows about all backend GraphQL services.
- It fetches their individual schemas.
- It combines these schemas into a single, unified schema.
- It then routes incoming client queries to the correct backend service and aggregates the results.
Setting Up Your Spring Boot Gateway
Let's start by creating a new Spring Boot project. We'll need a few key dependencies to build our gateway:
spring-boot-starter-web: For web capabilities.spring-graphql: To serve our combined GraphQL API.graphql-java: The core library for building and manipulating GraphQL schemas.
Add these to your pom.xml or build.gradle.
Pointing to Backend Services
Our gateway needs to know where the backend GraphQL services are located. We can configure their URLs, perhaps in application.properties or through a dedicated configuration class.
For example, imagine we have a UserService and a ProductService, each with its own GraphQL endpoint:
application.properties:
graphql.remote-services.user-service.url=http://localhost:8081/graphql
graphql.remote-services.product-service.url=http://localhost:8082/graphqlIn a real application, these would be separate Spring Boot applications.
Fetching Remote Schemas via Introspection
Before we can combine schemas, our gateway needs to discover what fields and types each backend service offers. This is done using introspection.
GraphQL provides a special introspection query that allows you to ask a GraphQL server for information about its schema. The gateway will send this query to each backend service to get their Schema Definition Language (SDL).
Fetching Schema Definition Language
Here's a simple Spring Boot component that uses WebClient to perform an introspection query and retrieve the SDL from a remote GraphQL service. This SDL will later be used to build our combined schema.
package com.coddykit.gateway;
import org.springframework.stereotype.Component;
import org.springframework.web.reactive.function.client.WebClient;
import reactor.core.publisher.Mono;
@Component
public class RemoteSchemaFetcher {
private final WebClient webClient;
public RemoteSchemaFetcher(WebClient.Builder webClientBuilder) {
this.webClient = webClientBuilder.baseUrl("").build();
}
// Simplified introspection query for demo
private static final String INTROSPECTION_QUERY_BODY =
"{\"query\":\"query { __schema { queryType { name } } }\"}";
public Mono<String> fetchSchemaSdl(String serviceUrl) {
return webClient.post()
.uri(serviceUrl)
.bodyValue(INTROSPECTION_QUERY_BODY)
.retrieve()
.bodyToMono(String.class)
.map(response -> {
// In a real app, you'd parse the 'response' JSON
// to extract the actual SDL. For this example,
// we'll return a basic placeholder SDL.
return "type Query { userCount: Int }"; // Example SDL from a remote service
});
}
public static void main(String[] args) {
// This main method is for illustrative purposes only.
// In a real Spring Boot app, this component would be managed by Spring.
System.out.println("RemoteSchemaFetcher component simulates fetching SDL.");
System.out.println("It uses WebClient to send an introspection query.");
System.out.println("Actual parsing of the introspection result is omitted for brevity.");
}
}Combining Schema Definitions
Once we have the SDL strings from all our backend services, we need to combine them into a single GraphQLSchema object. The graphql-java library provides tools for this.
- Use
SchemaParserto parse each SDL string into aTypeDefinitionRegistry. - Merge these
TypeDefinitionRegistryobjects. - Use
SchemaGeneratorwith the merged registry to create the final unifiedGraphQLSchema.
This combined schema is what your gateway will expose to clients.
Merging Type Definition Registries
This example demonstrates how to combine two TypeDefinitionRegistry objects into one. This is the core step in building our unified schema.
package com.coddykit.gateway;
import graphql.schema.GraphQLSchema;
import graphql.schema.idl.SchemaGenerator;
import graphql.schema.idl.SchemaParser;
import graphql.schema.idl.TypeDefinitionRegistry;
public class SchemaCombiner {
public GraphQLSchema combineSchemas(String userSchemaSdl, String productSchemaSdl) {
SchemaParser schemaParser = new SchemaParser();
// Parse individual SDLs into TypeDefinitionRegistry
TypeDefinitionRegistry userRegistry = schemaParser.parse(userSchemaSdl);
TypeDefinitionRegistry productRegistry = schemaParser.parse(productSchemaSdl);
// Merge the registries
TypeDefinitionRegistry mergedRegistry = new TypeDefinitionRegistry();
mergedRegistry.merge(userRegistry);
mergedRegistry.merge(productRegistry);
// Generate the final GraphQLSchema
SchemaGenerator schemaGenerator = new SchemaGenerator();
return schemaGenerator.makeExecutableSchema(mergedRegistry);
}
public static void main(String[] args) {
String userSdl = "type Query { user(id: ID!): User } type User { id: ID! name: String }";
String productSdl = "type Query { product(id: ID!): Product } type Product { id: ID! name: String price: Float }";
SchemaCombiner combiner = new SchemaCombiner();
GraphQLSchema combinedSchema = combiner.combineSchemas(userSdl, productSdl);
System.out.println("Combined Schema Generated Successfully!");
// You can inspect combinedSchema.getTypeMap() to see merged types
System.out.println("Query types in merged schema: " +
combinedSchema.getQueryType().getFieldDefinitions().size());
System.out.println("Expected 2 query fields (user, product).");
}
}Routing Queries with DataFetchers
After combining schemas, when a client queries the gateway, the gateway needs to know which backend service should handle each field.
This is achieved using a Delegating DataFetcher. For each field in the stitched schema, this DataFetcher will:
- Identify the original backend service for that field.
- Construct a sub-query for that backend.
- Send the sub-query to the correct backend service.
- Receive the response and integrate it into the overall result.
This is the "runtime" part of stitching, where data is actually fetched.
Stitching Knowledge Check
You've learned about the key steps involved in merging multiple GraphQL schemas in a Spring Boot gateway. Which of the following is the PRIMARY reason for using a Delegating DataFetcher in a stitched GraphQL gateway?
Recap: Building a Unified API
Congratulations! You've learned the fundamental steps to merge multiple GraphQL schemas using Spring Boot:
- Setup a Spring Boot gateway with necessary dependencies.
- Configure remote backend GraphQL service URLs.
- Introspect each remote service to fetch its Schema Definition Language (SDL).
- Combine the SDLs into a single
GraphQLSchemausinggraphql-java. - Implement
Delegating DataFetchersto route client queries to the appropriate backend service at runtime.
This unified approach simplifies client interactions and provides a consistent API experience.
Perguntas Frequentes
A aula “Mesclando Vários Esquemas GraphQL” é grátis?
Sim — o texto completo de “Mesclando Vários Esquemas GraphQL” é grátis para ler aqui na web. Para praticá-la interativamente (um editor de código integrado e um tutor de IA 24/7) e desbloquear o restante do curso de GraphQL APIs with Spring Boot, atualize para CoddyKit PRO. O curso de GraphQL APIs with Spring Boot inclui 4 aulas no total.
O que vou aprender em “Mesclando Vários Esquemas GraphQL”?
Implemente a composição de esquemas em um ambiente Spring Boot para combinar e expor vários serviços GraphQL. Você pratica GraphQL APIs with Spring Boot com código prático que executa diretamente no navegador, e um tutor de IA 24/7 responde suas dúvidas enquanto trabalha na aula.
Preciso ter experiência prévia para começar GraphQL APIs with Spring Boot?
Nenhuma experiência prévia é necessária. GraphQL APIs with Spring Boot no CoddyKit é estruturado para alunos iniciantes até avançados, então você pode começar aqui ou desde o início e aprender no seu ritmo. Esta é a aula 3 de 4.
Quanto tempo leva a aula “Mesclando Vários Esquemas GraphQL”?
A maioria das aulas CoddyKit leva cerca de 5–10 minutos. Cada uma é compacta e interativa, então você faz progresso constante e retoma exatamente de onde parou entre web e app.
Posso escrever e executar código nesta aula de GraphQL APIs with Spring Boot?
Sim. Cada aula de GraphQL APIs with Spring Boot inclui um editor de código integrado, então você escreve e executa código real direto no navegador e recebe feedback de IA instantaneamente — nenhuma configuração local necessária.
Todas as aulas deste curso
- Construindo Diretivas Personalizadas
- Fundamentos da Composição de Esquemas
- Mesclando Vários Esquemas GraphQL
- Modularização de esquemas com extensões de tipos