Redis Namespaces and Multi-Entity Caching in Spring Boot: Best Practices

As your application grows, you might need to cache multiple entity types like Employee and Department. To avoid key collisions and maintain clarity, proper key structuring and namespacing are essential.

Key Structuring and Namespaces

Use a pattern like namespace::entity::id:

person::123

department::HR

Example for Employee and Department

@Cacheable(cacheNames = "ed", key = "'emp::' + #empId")

public Employee getEmployeeById(Long empId) { ... }

@Cacheable(cacheNames = "ed", key = "'dept::' + #deptId")

public Department getDepartmentById(String deptId) { ... }

Inspecting Cache in Redis CLI

To find available namespaces and keys:

SCAN 0 MATCH person::*

SCAN 0 MATCH department::*

Key Takeaways

Always namespace your Redis keys.

Use structured keys to manage different data types.

Periodically audit Redis keys using SCAN.

Conclusion

In this final blog, we covered namespacing strategies and multi-entity caching patterns in Redis. You are now ready to implement robust Redis caching in your Spring Boot apps!