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📡
Scatter-Gather（分发-收集）
将请求分发到多个服务，并收集它们的响应
复杂度: medium并行化
In 30 seconds
- What
- 并行向多个服务发送请求，然后等待并把它们的响应合并成一个结果。
- When to use
- 你需要来自多个独立数据源的数据，并且在某些服务变慢或失败时能够接受部分结果。
- Watch out
- 超时时间要足够短，以免用户感知到延迟，但又要足够长，以免丢弃本来有效的响应。
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将请求分发到多个服务，并收集它们的响应
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模式： 向多个服务广播请求，然后聚合响应
原因： 最大化信息覆盖，提升韧性，发挥多样化能力
关键洞察： Request → [Service1, Service2, ServiceN] → Gather → Aggregate → Result
Discover how Scatter-Gather relates to other patterns
Prerequisites, next steps, and learning progression
Fundamental concurrent programming for parallel service calls
💡 Essential for managing concurrent service requests effectively
Structured parallel processing with explicit chunking and aggregation
💡 Natural evolution when you need more structured parallel data processing
Recursive parallel decomposition with dynamic load balancing
💡 Advanced parallelization for complex recursive processing tasks
Complex service orchestration with state management
💡 Enterprise-grade service coordination with sophisticated orchestration
More structured approach with explicit chunking
💡 Better when you need systematic data partitioning and processing
Linear service calls when parallel execution isn't needed
💡 Simpler approach when services must be called in specific order
Multi-provider data aggregation for comprehensive financial analysis
Multi-source information gathering and synthesis
Multi-service integration for comprehensive system monitoring
通过这些精选资源加深理解