custom-nosql-cdn

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1. Logging Module

   • Enhance Logs Endpoint: Serve logs as plain text or JSON through the /logs route.

2. HTTP Module

   • Error Handling: Return more informative HTTP status codes and messages for errors (e.g., 400 Bad Request, 500 Internal Server Error).

3. General Enhancements

   • Code Optimization: Avoid redundant cloning of Arc<Database> by passing references where possible.

4. Database Module

   • Improve Efficiency: Add a memory cache (e.g., HashMap) to speed up frequently accessed keys.

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5. Database Module

   • Batch Reads and Writes: Implement a write buffer and batch read functionality to reduce I/O overhead.

6. HTTP Module

   • Async Database Operations: Offload database operations to a thread pool using tokio::task::spawn_blocking.

7. Logging Module

   • Asynchronous Logging: Use an async logging library (tracing or tokio::task::spawn) to offload file writes and reduce blocking.

8. HTTP Module

   • Add Authentication: Protect sensitive routes (e.g., /insert) with API key or token-based authentication.

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9. HTTP Module

   • Efficient Data Formats: Use compact response formats for the get endpoint, serializing raw data for clients.

10. Database Module

    • Checksum Optimization: Avoid computing the checksum for all records during a get operation unless absolutely necessary.

11. General Enhancements

    • Testing and Benchmarking: Add unit and integration tests to ensure functionality and edge-case handling.

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12. Database Module

    • Indexing: Introduce an in-memory index (e.g., HashMap) for fast key lookups. Periodically persist the index to disk.

13. Logging Module

    • Buffer Size Management: Dynamically adjust the buffer size during high traffic to reduce write frequency.

14. Database Module

    • Concurrency Control: Use thread-safe structures like Arc<Mutex<T>> or append-only log file structures to safely handle concurrent writes.

15. HTTP Module

    • Route Optimization: Refactor with Warp's BoxedFilter to minimize redundant cloning of db and logger filters.

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16. Database Module

    • File Segmentation: Split the database file into smaller segments based on size or timestamp for efficient queries and easier backups.

17. Database Module

    • Compaction: Implement a background thread for merging fragmented data and removing outdated records.

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18. Logging Module

    • Structured Logging: Format logs as structured JSON for better parsing and monitoring.

19. General Enhancements

    • Scale for Concurrent Access: Ensure proper synchronization mechanisms for safe concurrent database access.

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20. Database Module

    • Extend Data Structure: Support more complex values (e.g., nested structures or lists) and add support for queries like "list all keys."

21. Logging Module

    • Log Rotation and Archival: Automatically rotate and compress old logs to save disk space.

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22. Database Module

    • Compression: Integrate compression algorithms (e.g., Snappy or zlib) for data storage.

23. General Enhancements

    • Resiliency: Introduce checkpoints or snapshots for crash recovery.

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