[Debug] < Enhance Performance with Optimizations and Caching> #106
Description
Is this a unique feature?
- I have checked "open" AND "closed" issues and this is not a duplicate
Is your feature request related to a problem/unavailable functionality? Please describe.
The application experiences slower response times and higher database load due to unoptimized queries, lack of caching, synchronous operations, and inefficient database connections. These issues can negatively impact user experience, especially during high traffic.
Proposed Solution
- Optimizing Database Queries: Implement indexes and use the aggregation framework to improve query performance.
- Caching: Integrate Redis to store frequently accessed data, reducing the need for repeated database queries.
- Asynchronous Operations: Modify synchronous operations to asynchronous ones using async/await for improved performance.
- Connection Pooling: Implement connection pooling to efficiently manage database connections.
- Schema Design: Denormalize data where necessary to avoid multiple queries and join operations.
Screenshots
N/A
Do you want to work on this issue?
Yes
If "yes" to above, please explain how you would technically implement this
Optimizing Database Queries:
- Add appropriate indexes for frequently queried fields using createIndex() in MongoDB.
- Modify database queries to use aggregation pipelines for complex queries.
Caching:
- Integrate Redis to cache frequently accessed data.
Asynchronous Operations:
- Modify synchronous operations to asynchronous (e.g., replacing fs.readFileSync() with fs.readFile()).
- Use async/await for better handling of asynchronous tasks
Connection Pooling:
- Use Mongoose's poolSize option to configure database connection pooling.