Cuando se encarga la implementación de nuevas características o la mejora de las ya existentes, los desarrolladores a menudo se enfrentan a decisiones sobre el mejor enfoque que se debe adoptar. Copilot Chat puede ayudar mediante el análisis del problema y la generación de opciones de implementación para que puedas explorar varias soluciones.
Escenario de ejemplo
Se te asigna la tarea de crear una nueva característica que muestre los elementos vistos más recientemente en un panel de usuario. A continuación se muestra una propuesta de ejemplo para implementar esta funcionalidad:
[Feature Request] Add "Recent Items" section to user dashboard #753
## Issue Description
Users have requested a "Recent Items" section on their dashboard to quickly access the most recently viewed documents, projects, or files. This section should display the ten most recent items, sorted by the last access time.
## Requirements
* Display up to ten items that the user has accessed recently.
* Items must be sorted by the time they were last accessed.
* The solution should minimize database load.
* Data should reflect updates in near real-time.
* The solution should prioritize performance, especially for large datasets of items.
## Acceptance Criteria
* Dashboard loads the "Recent Items" section within 200ms under normal load.
* The solution must not degrade performance for users with thousands of items.
Ejemplos de indicaciones
Quieres evaluar diferentes enfoques para esta implementación para ver si encajan con tus necesidades y restricciones. Aquí le pediremos a Copilot Chat que sugiera distintos enfoques.
Ve a la propuesta y escribe:
Given the criteria in Issue #753, list options for implementation and tradeoffs for each option.
Tip
Al usar Copilot para ayudar a identificar las opciones de implementación, se recomienda empezar con una indicación general para generar ideas, como en este ejemplo. A continuación, puedes seguir con preguntas más específicas para profundizar más en las opciones que sugiere.
Respuesta de ejemplo
Note
La respuesta siguiente es un ejemplo. Las respuestas de Copilot Chat no son deterministas, por lo que puedes obtener una respuesta diferente a la aquí mostrada.
Copilot enumera varias opciones diferentes para implementar este panel, junto con los inconvenientes de cada opción. A continuación, hace una recomendación.
Por ejemplo:
# Implementation Options and Tradeoffs for "Recent Items" Section
## 1. Client-Side Storage
- Description: Store recent items data in the user's browser using LocalStorage or IndexedDB.
- Tradeoffs:
- Pros:
- Reduces server load by handling data storage and retrieval on the client side.
- Immediate updates and access without server communication.
- Cons:
- Limited by browser storage capacity.
- Data lost if the user clears browser storage or switches devices.
- Security concerns with storing sensitive data on the client side.
## 2. Server-Side Storage with Database Indexing
- Description: Store recent items in the database and use indexing to quickly retrieve the most recent items.
- Tradeoffs:
- Pros:
- Centralized data storage, accessible from any device.
- Scalable and can handle large datasets efficiently with proper indexing.
- Cons:
- Increased database load, especially for frequent access updates.
- Potential latency in updating the recent items list.
## 3. In-Memory Caching (e.g., Redis)
- Description: Use an in-memory data store like Redis to cache recent items for fast retrieval.
- Tradeoffs:
- Pros:
- Extremely fast data access and updates.
- Reduces database load by offloading frequent read operations.
- Cons:
- Requires additional infrastructure and maintenance.
- Data may be lost if the cache is cleared or server restarts.
## 4. Hybrid Approach
- Description: Combine server-side storage with in-memory caching to balance performance and persistence.
- Tradeoffs:
- Pros:
- Fast access through caching, with persistent storage in the database.
- Can handle large datasets and frequent updates efficiently.
- Cons:
- Increased complexity in implementation and maintenance.
- Potential consistency issues between cache and database.
## 5. Event-Driven Updates
- Description: Use event-driven architecture to update recent items in real-time as users access documents.
- Tradeoffs:
- Pros:
- Near real-time updates with minimal delay.
- Efficient handling of updates through events rather than periodic polling.
- Cons:
- Requires setting up event handling infrastructure (e.g., message queues).
- Increased complexity in managing events and ensuring consistency.
## Recommendation
The hybrid approach (option 4) is a balanced solution, offering fast access through caching and persistence through database storage. It meets performance requirements and scales well with a large dataset, although it involves a more complex implementation.