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GraphQL

As explained in Quarkus in Action

GraphQL is a query language and runtime for APIs that lets clients request precisely the data they need.

GraphQL is a query language and API runtime that lets clients request exactly the fields they need. By avoiding overfetching and underfetching, it can reduce request counts and network traffic, making it useful for constrained environments such as mobile applications. section 4.4

A GraphQL schema defines a data model through types and fields. Clients call operations with parameters and receive a defined return type. GraphQL does not prescribe storage: resolvers can expose databases, in-memory structures, or multiple unrelated sources through one unified API. section 4.4

A Quarkus implementation follows a code-first workflow:

  • Model the exposed data with Java classes whose fields become corresponding GraphQL fields. section 4.5.1
  • Begin with an in-memory data structure, then replace or extend it with persistent storage or other data sources. section 4.4

Inventory service

An Inventory service models cars with fields such as identifier, license plate number, manufacturer, and model. A GraphQL API exposes a cars query backed by CarInventory, while register and remove mutations manage the in-memory fleet. Quarkus generates the schema from the annotated Java API. section 4.5.1

How Quarkus in Action covers it

How deep it goes
Defines schemas and demonstrates a code-first Quarkus service, while deferring persistent storage and broader production concerns.
Examples
Uses a Quarkus car inventory with Java models, an in-memory database stub, a cars query, and register and remove mutations.
What it assumes
Assumes Java and Quarkus application development, while introducing GraphQL schemas, operations, annotations, and storage independence.
What you can do after
Build a code-first GraphQL API in Quarkus using SmallRye GraphQL annotations and Java-backed data.
How it connects
Connects schemas, Java models, REST, SQL, MicroProfile GraphQL, SmallRye GraphQL, and cloud-oriented network efficiency.

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This explainer was generated by Manning's knowledge graph from the text of Quarkus in Action. The section links point to the parts of the book it draws on.