How to use redis and mysql together

Redis and MySQL work together to enhance application performance and functionality. Redis acts as a cache layer to store frequently accessed data and reduce queries to MySQL; it also serves as a message queue and session storage mechanism, and does not guarantee data integrity. Instead, MySQL is responsible for persisting data, enforcing transactions and constraints, and maintaining data integrity. Working together, Redis and MySQL reduce database load and improve response times and throughput for areas such as e-commerce, social media, and gaming applications.

Redis and MySQL work together

Introduction

Redis and MySQL are two powerful databases that work together to enhance application performance and functionality.

Main roles

• Redis: In-memory data structure storage for caching and fast querying.
• MySQL: Relational database management system for storing persistent data and executing complex queries.

Collaboration method

Cache:

• Redis is used as the cache layer of the MySQL database, storage Frequently accessed data.
• When an application queries data, Redis first checks whether the data exists in the cache.
• If it exists, the data will be returned directly to avoid expensive queries to MySQL.

Queue:

• Redis is used as a message queue to store pending tasks.
• MySQL is responsible for persisting tasks to ensure that tasks are not lost when the server restarts or fails.

Session storage:

• Redis is used as a session storage mechanism to store user session data.
• Since Redis is in-memory, session data can be accessed quickly.
• MySQL is used to store permanent information such as user profiles and preferences.

Data integrity:

• Redis is mainly used for caching and temporary data and does not guarantee data integrity.
• MySQL is responsible for maintaining data integrity and enforcing transactions and constraints.

Performance improvement

The collaboration between Redis and MySQL can bring significant performance improvements:

• Reduce database load : Redis caches frequently accessed data, reducing queries to MySQL and reducing load.
• Improving response time: Redis provides ultra-fast reading speeds, improving the responsiveness of applications.
• Improving throughput: Redis’ in-memory storage capabilities allow large amounts of data to be processed quickly, improving application throughput.

Use cases

Redis and MySQL collaboration are widely used in:

• E-commerce websites: caching product information and shopping baskets .
• Social media platform: Store user updates and activity logs.
• Game Application: Stores game status and user scores.

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