Centrally Manage Dependency Versions for google-auth-library and the rest of the libraries in google-cloud-java

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Evaluación

Dificultad
5/5
Tiempo estimado
Más de una semana
Aptitud para principiantes
25/100
Tipo de issue
Refactorización
Claridad
Necesita aclaración
Estado de actividad
Tranquilo
Stack tecnológico
java
Área
build-system, release

Línea de trabajo

Compara las propiedades de las dependencias en google-auth-library-java/pom.xml con las de sdk-platform-java/gapic-generator-java-pom-parent/pom.xml y, a continuación, revisa los tres enfoques propuestos. Se necesita una decisión del maintainer antes de la implementación; «done» debe significar que las versiones de las dependencias compartidas se gestionan de forma coherente sin crear una dependencia circular de staging de Maven Central.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

priority: p1 type: feature request

The Problem: Auth Dependencies Are Managed Separately

Currently, the google-auth-library-java module manages its third-party dependencies (like Guava, Protobuf, Jackson, and JUnit) separately within its own local <properties> block. The rest of the monorepo manages identical dependencies inside gapic-generator-java-pom-parent.

This duplicates versions and increases the risk of dependency drift across the monorepo:

  • google-auth-library-java/pom.xml
  • sdk-platform-java/gapic-generator-java-pom-parent/pom.xml

Because com.google.auth and com.google.cloud deploy under different staging profiles on Maven Central, they are uploaded to separate staging repositories. If google-auth-library-java references unreleased in-development versions of com.google.cloud parent POMs or BOMs, a circular release staging deadlock is created at release time.

Proposed Solutions

Option 1: Extract Version Properties to google-cloud-shared-config

Move shared version properties (like <guava.version>) into the external parent POM com.google.cloud:google-cloud-shared-config from which both modules inherit.

  • Pros:
    • Single, definitive source of truth at the parent configuration level.
    • Completely clean code structure with zero duplicate config.
  • Cons:
    • Rigid Release Pipeline: Upgrading a dependency (like an urgent security CVE patch) requires releasing a new version of google-cloud-shared-config to Maven Central first, waiting for Central's CDN to sync, and then updating the parent references in both projects.
Option 2: Extract Versions to a Common Base BOM Module (in Monorepo)

Introduce a lightweight, internal BOM module (e.g., base-shared-dependencies) in this monorepo containing only the third-party library versions. Both the auth library and client library BOMs would import it.

  • Pros:
    • Prevents circular staging deadlocks by maintaining a strictly acyclic dependency graph.
    • Single source of truth located directly within the same monorepo.
  • Cons:
    • Release Staging Delay: Due to staging profile boundaries, releases must be built sequentially (waiting for the base BOM to fully sync to Maven Central before releasing the auth library, and then repeating before client libraries can release).
Option 3: Keep It as It Is and Use Automation to Update

Keep the properties blocks isolated inside their respective directories, but coordinate updates strictly using Renovate Bot or other CI scripting to bump them in parallel.

  • Pros:
    • Maximum Autonomy: The auth team can delay upgrades to preserve legacy client compatibility (like Firebase/Android) without blocking the client libraries.
    • Zero Release Bottlenecks: No sequential staging wait-times; both projects release in parallel.
  • Cons:
    • Relies on external tooling and automation scripts to maintain consistency; human error/drift is still possible if manually edited.
Lenguaje dominante
Java
Estrellas
2.1k
Forks
1.2k
Merge medio
2 d 14 h
PR fusionados (30 d)
192

Preparar el entorno

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

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