How to Add OIDC Login to Spark Java Apps Using pac4j Security Library
Developers building Spark Java web applications can secure specific routes with OpenID Connect (OIDC) authentication using the spark-pac4j library, which provides ready-made filters and routes for login, callback, and logout flows. The spark-pac4j SecurityFilter plugs into Spark's built-in before-filter mechanism, eliminating the need to write custom authentication checks. The setup works with any OIDC-compliant provider, including Keycloak, Google, Microsoft Entra ID, and Okta, using Spark 2.9 and Java 17. Configuration is handled through pac4j's framework-agnostic engine, meaning the same OIDC setup used in a Spring Boot project can be reused here with minimal changes. The integration depends on two key dependencies — spark-pac4j for framework binding and pac4j-oidc for protocol handling — both targeting pac4j version 6.
This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)
Log in to join the discussion and vote.
Log in