cache2go
A concurrency-safe Go caching library with expiration capabilities and access counters.
What is cache2go?
cache2go is a concurrency-safe in-memory caching library for Go, designed to store arbitrary data types with configurable expiration times. It solves the problem of efficiently caching frequently accessed data in multi-goroutine environments, reducing latency and backend load.
Go developers building applications that require fast, thread-safe caching, such as web servers, APIs, or data processing pipelines.
Developers choose cache2go for its simplicity, built-in concurrency safety, and flexible expiration features without external dependencies, making it a lightweight alternative to more complex caching solutions.
Overview
Concurrency-safe Go caching library with expiration capabilities and access counters
Use Cases
Best For
- Adding in-memory caching to Go web servers to reduce database queries
- Storing session data or temporary results in concurrent applications
- Implementing expiring key-value stores for rate limiting or feature flags
- Caching API responses or computed values with automatic cleanup
- Learning caching patterns in Go due to its minimal and readable codebase
- Prototyping applications that need fast, simple caching without setup overhead
Not Ideal For
- Applications requiring distributed caching across multiple servers, as it's single-process and in-memory
- Projects needing persistent cache storage to survive application restarts, since data is volatile
- Systems that demand advanced eviction policies like LRU or LFU, as it relies only on expiration and access counters
- Teams looking for integrated monitoring dashboards or extensive tooling, due to its minimalistic design
Pros & Cons
Pros
Uses synchronization to ensure safe access from multiple goroutines without data races, as explicitly stated in the README's key features, making it reliable for concurrent Go applications.
Supports item expiration after a fixed duration or never, with automatic cleanup, reducing manual management overhead and highlighted in the example code for easy implementation.
Allows storing any Go data type, including structs and slices, as keys and values, enhancing versatility for diverse caching needs, as demonstrated in the provided example with a custom struct.
Offers hooks like AboutToDeleteItem for executing custom logic before item removal, enabling advanced use cases such as logging or cleanup, as shown in the README example.
Cons
As an in-memory cache, all data is lost on application restart, which the README does not address, limiting its use for scenarios requiring durable cache storage.
Relies solely on expiration for cleanup; while it tracks access counts, it lacks built-in policies like LRU or LFU, which might necessitate custom implementations for optimal cache management.
Designed for use within a single Go process, making it unsuitable for distributed systems or clustered environments where shared cache access is needed, as noted in its minimal architecture.
Frequently Asked Questions
Related Projects
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