Article directory
Including but limited to the following measures
1. Use paging display
When there are too many query results, dividing the results into multiple pages for display can effectively improve the response speed of the system. In this way, the system can gradually return results to the client, enabling users to view and process data faster.
2. Asynchronous logging
Synchronous logging incurs disk operations each time it is invoked, which may degrade system performance. Asynchronous logging first stores the log information in a lock-free buffer in memory, and then returns immediately. Log information is periodically saved to disk, significantly reducing I/O load.
3. Utilize caching technology
Store frequently accessed data in the cache, and the client first queries the cache when accessing data. If the cache misses, the client fetches the data from the database. Caching systems such as Redis store data in memory, so data access is much faster than direct access to the database.
4. Implement payload compression
Use methods such as gzip to compress requests and responses, thereby reducing the volume of transmitted data and improving upload and download speeds.
5. Manage database connection pool
When accessing a database, we usually need to read data from the database. Frequently creating and closing database connections can be expensive. Therefore, it is a better choice to connect to the database through an open connection pool. The connection pool is responsible for managing the lifecycle of database connections.
