Question 1

How does TTLCache compare to using a simple map with mutex for caching in Go?

Accepted Answer

TTLCache adds built-in TTL expiration, thread safety, and event handlers, whereas a custom map with mutex requires manual implementation of these features, making TTLCache more feature-rich for caching needs without the boilerplate code.

Question 2

How to set up automatic item expiration in TTLCache?

Accepted Answer

Use the `WithTTL` option when creating the cache and call `Start()` to run a background goroutine for cleanup, or periodically invoke `DeleteExpired()` for manual control, as detailed in the README usage examples for flexible expiration management.

Question 3

Is TTLCache suitable for high-throughput web servers?

Accepted Answer

Yes, its thread-safe design and efficient in-memory storage make it apt for concurrent access, but ensure proper capacity management to avoid memory issues under heavy load, and benchmark with event handlers if performance is critical.

Question 4

Can I use TTLCache with custom eviction policies based on access frequency?

Accepted Answer

Out of the box, TTLCache supports TTL and capacity-based eviction; for access-based policies like LRU, you'd need to implement custom logic using event handlers or extend the library, as it doesn't include advanced algorithms natively.

Question 5

TTLCache or Redis for in-memory caching in Go?

Accepted Answer

TTLCache is lightweight and embedded, ideal for single-instance apps with simple TTL needs, while Redis is better for distributed caching, persistence, and more complex data structures, so choose based on scalability and feature requirements.

ttlcache

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