The difference between cache and database in Golang is: Data persistence: cache stores data temporarily, while database stores data persistently. Hit rate optimization: The higher the cache hit rate, the better the performance. Invalidation policy: Cache entries are expired based on TTL or LRU algorithm. Query flexibility: The database allows complex queries to be executed, with limited caching flexibility. Consistency: The database guarantees data consistency, but the cache does not.
The difference between cache and database in Golang
In Golang applications, cache and database are usually used to store temporary and persistent storage respectively sexual data. Understanding the difference between the two is critical to optimizing application performance.
Cache
sync.Map
andgithub.com/go-cache/cache
.Database
Compare
Features | Cache | Database |
---|---|---|
Data persistence | Temporary | Persistence |
Hit rate | Optimization | Not applicable |
Invalidation strategy | Yes | No |
Query flexibility | Limited | High |
Consistency | Not guaranteed | Guaranteed |
Practical Case
Suppose there is an e-commerce application that frequently accesses product price information. Storing this information in cache can greatly improve the loading speed of product pages. Here is sample code usingsync.Map
caching:
package main import ( "sync" ) type Product struct { ID int Price float64 } var cache sync.Map func main() { // 假设产品价格已从数据库加载 products := map[int]*Product{ 1: &Product{ID: 1, Price: 100.00}, 2: &Product{ID: 2, Price: 200.00}, } // 将产品价格加载到缓存中 for _, product := range products { cache.Store(product.ID, product.Price) } // 从缓存中获取产品价格 price, found := cache.Load(1) if found { fmt.Println("产品 1 的价格:", price) } }
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