What is the best caching library in Golang? Let's compare them one by one.

What is the best caching library in Golang? Let’s compare them one by one.

When writing Go code, you often need to use caching, such as storing some time-consuming calculation results or data read from the database. Caching can greatly improve the performance of the program. However, the Go language does not provide a native caching library, so we need to use a third-party caching library. In this article, we will compare several popular Go caching libraries one by one to find the one that suits us best.

1. Gocache

Gocache is an efficient memory cache library, its biggest advantage is high performance. It supports a variety of caching strategies, such as LRU (Least Recently Used), LFU (Least Frequently Used), etc. In the case of concurrent access, it uses sync.Map with finer lock granularity instead of the standard library map, which can ensure concurrency security. Gocache also provides a simple and easy-to-use API, which is very suitable for rapid development.

2. Go-cache

Similar to Gocache, Go-cache is a memory cache library, but its design is simpler. It only supports the LRU strategy and uses the standard library map as the data storage structure. Go-cache uses RWMutex to implement read-write locks, which can ensure security under high concurrency. However, because Go-cache pursues simplicity in design, its performance is not as good as Gocache.

3. Bigcache

Bigcache is a cache library that supports multi-core and multi-threading. Its design goal is to handle extremely large-capacity caches, so its performance is very good. It uses a non-blocking algorithm based on handwritten locks and CAS operations to ensure high concurrency security.

4. groupcache

groupcache is a distributed cache library developed by Google, which is more suitable for use in distributed systems. It supports LRU policy and uses consistent hashing algorithm for load balancing. Groupcache draws on the design ideas of memcache and can well solve problems such as cache breakdown and degradation. However, since groupcache is mainly oriented to distributed systems, its single-machine performance is poor.

5. cache2go

cache2go is also a memory cache library, similar to Go-cache, but its API is more flexible. In addition to supporting LRU policy, it also supports multiple caching policies such as expiration time and gate. cache2go uses sync.RWMutex to implement read and write concurrency control to ensure concurrency security.

In summary, different cache libraries have their own advantages and applicable scenarios. Choosing the correct cache library needs to be decided based on specific needs. If you need a high-performance caching library, choose Gocache and Bigcache; if you need a simpler library, choose Go-cache and cache2go. If it needs to be used in a distributed system, groupcache is more appropriate.

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