Cache hit rate measurement in Golang uses the Stats field in the github.com/allegro/bigcache package to obtain hit rate information. 2. Hit rate calculation formula: (Floating point number of Misses) / (Floating point number of Gets)
Measurement of cache hit rate in Golang
The cache hit rate measures how often the cache system successfully retrieves data from the cache. In Golang, you can use the github.com/allegro/bigcache
package to manage cache. This package exposes a Stats
field that provides information about cache hit ratios.
Usage
import ( "github.com/allegro/bigcache" ) func main() { cache, err := bigcache.NewBigCache(bigcache.Config{ Shards: 1024, LifeWindow: 0 * time.Minute, CleanWindow: 15 * time.Minute, MaxEntriesInWindow: 1000 * 10 * 60, MaxEntrySize: 500 * 1024, Verbose: false, }) if err != nil { panic(err) } // ...操作缓存... stats := cache.Stats() 命中率 := float64(stats.Misses) / float64(stats.Gets) fmt.Println("命中率:", 命中率) }
Practical case
Suppose you have a cache to store user sessions. You can use the above code to measure cache hit ratio periodically to monitor the performance of your cache. If the hit rate is low, you may need to adjust your cache configuration or explore other caching solutions.
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