lazy-loading

Implements deferred loading and lazy collections in Eclipse Store to manage memory usage.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Lazy-loading alleviates slow startup times and high memory usage by deferring the loading of large or infrequently accessed object graphs in Eclipse Store.

Core Features & Use Cases

  • Deferred loading of subgraphs: Use Lazy<T> references to load data only when needed.
  • Lazy collection implementations: Employ LazyArrayList, LazyHashMap, and LazyHashSet for large collections that should load segments on demand.
  • Use Case: When managing extensive historical data or large attachments, load only the active subset to improve performance and resource management.

Quick Start

Apply this skill to reduce startup latency and memory footprint by wrapping large object fields and collections with Lazy, then access them on demand.

Frequently Asked Questions about lazy-loading

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

FAQPage Schema
How do I reduce high memory usage and slow startup times when managing large object graphs?

Eclipse Store implements deferred loading using `Lazy<T>` references and lazy collection structures like `LazyArrayList`, `LazyHashMap`, and `LazyHashSet`. These mechanisms wrap large object fields to load data segments on demand rather than all at once.

When should I use lazy collection implementations for large datasets?

Eclipse Store lazy collections load collection segments on demand, preventing the entire dataset from consuming memory during application startup. This deferred loading strategy is specifically designed for scenarios involving deep object hierarchies and large datasets.

Does Eclipse Store provide mechanisms to clear in-memory data safely after lazy loading?

Yes, Eclipse Store provides mechanisms to clear and manage in-memory data safely after lazy loading. This ensures efficient resource usage by allowing you to control the lifecycle of loaded subgraphs and remove data from memory when it is no longer required.

What is the best way to handle deferred loading of subgraphs in Eclipse Store?

The best way to handle deferred loading of subgraphs in Eclipse Store is to apply `Lazy<T>` references to large object fields. Wrapping fields with Lazy ensures data is loaded only upon access, reducing startup latency and the overall memory footprint.