GraphQL Scaling, Querying & Mutations for Java Backends

Java has history, GraphQL wants knowledge, and React likes Hooks

Joe Alongi
5 min readSep 18, 2022

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Java has been a universal programming language for many years, many more years later, its focused runtime is in the cloud. Cloud-native Java requires performant systems, which require quick responses for distributed users.

Databases have expanded, scaled, and become more agile with distributed access, a language to connect and query them needs to meet their performance and user demand.

For every programming decision, there is an equal and opposite weight.

There are many ways to connect to databases through Java — REST, Connectors, JARS, APIs and the dependencies keep growing. The more that is required of any platform to process each process, the less performant and more resources it requires to run.

Building for Performance with Java, Spring Boot, React, JavaScript, GraphQL, and MySQL

  • Connecting MySQL to Spring Boot
  • Persisting data with Hibernate & JPA
  • Accessing Data with GraphQL Data Fetchers
  • Exposing Query Interface through Spring Controller
  • Allowing Access Control with Beans for Endpoints

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