cache-jcache

Implement configurable caching strategies with persistence and runtime management for Java services.

Updated Apr 24, 2026
One-click install
npx skills add https://github.com/cyrock-ai/eclipse-store-skills --skill cache-jcache
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cache-jcache
Source: https://github.com/cyrock-ai/eclipse-store-skills/tree/main/skills/cache-jcache
Command: npx skills add https://github.com/cyrock-ai/eclipse-store-skills --skill cache-jcache

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

It streamlines the implementation of caching mechanisms that improve application performance and data consistency.

Core Features & Use Cases

  • In-memory and persistent caching: Supports both volatile and storage-backed caches for scalable performance.
  • Integration with Hibernate and Spring: Enables seamless second-level cache and cache management in enterprise Java environments.
  • Use Case: Optimize database query performance by caching results with expiry policies, eviction, and load-from-storage options.

Quick Start

Use this Skill to set up a storage-backed cache with custom expiry and eviction policies for your Java application.

Frequently Asked Questions about cache-jcache

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up persistent caching in a Spring application?

Persistent caching in a Spring application is enabled by integrating Eclipse Store's JCache provider to support storage-backed caches with configurable expiry and eviction policies. This ensures scalable performance and data consistency across enterprise services.

Can I use a JCache provider as a Hibernate second-level cache?

Yes, a JSR-107 JCache provider can be integrated with Hibernate to serve as a second-level cache. This allows you to cache database query results, optimizing database query performance through configurable expiry and eviction.

What is the best way to configure cache expiry and eviction policies in Java?

Configuring cache expiry and eviction policies in Java is best handled using a JSR-107 compliant provider. This allows developers to implement efficient caching strategies that support runtime management and load-from-storage options for enterprise services.

Does JSR-107 support storage-backed caches for enterprise Java environments?

JSR-107 supports storage-backed caches for enterprise Java environments through providers like Eclipse Store. This enables both volatile in-memory and persistent caching, ensuring data consistency and scalable performance for your applications.

How do you optimize database query performance using cache persistence?

Database query performance is optimized using cache persistence by storing query results in a storage-backed cache. By applying custom expiry policies and eviction rules, the cache reduces database load and improves application response times.