Skip to content

🚀 A high performance gin middleware to cache http response. Compared to gin-contrib/cache, It has a huge performance improvement. 高性能gin缓存中间件,相比于官方版本,有巨大性能提升。

License

Notifications You must be signed in to change notification settings

chenyahui/gin-cache

Repository files navigation

gin-cache

Release doc goreportcard for gin-cache codecov

English | 🇨🇳中文

A high performance gin middleware to cache http response. Compared to gin-contrib/cache. It has a huge performance improvement.

Feature

  • Has a huge performance improvement compared to gin-contrib/cache.
  • Cache http response in local memory or Redis.
  • Offer a way to custom the cache strategy by per request.
  • Use singleflight to avoid cache breakdown problem.
  • Only Cache 2xx HTTP Response.

How To Use

Install

go get -u github.com/chenyahui/gin-cache

Example

Cache In Local Memory

package main

import (
	"time"

	"github.com/chenyahui/gin-cache"
	"github.com/chenyahui/gin-cache/persist"
	"github.com/gin-gonic/gin"
)

func main() {
	app := gin.New()

	memoryStore := persist.NewMemoryStore(1 * time.Minute)

	app.GET("/hello",
		cache.CacheByRequestURI(memoryStore, 2*time.Second),
		func(c *gin.Context) {
			c.String(200, "hello world")
		},
	)

	if err := app.Run(":8080"); err != nil {
		panic(err)
	}
}

Cache In Redis

package main

import (
	"time"

	"github.com/chenyahui/gin-cache"
	"github.com/chenyahui/gin-cache/persist"
	"github.com/gin-gonic/gin"
	"github.com/go-redis/redis/v8"
)

func main() {
	app := gin.New()

	redisStore := persist.NewRedisStore(redis.NewClient(&redis.Options{
		Network: "tcp",
		Addr:    "127.0.0.1:6379",
	}))

	app.GET("/hello",
		cache.CacheByRequestURI(redisStore, 2*time.Second),
		func(c *gin.Context) {
			c.String(200, "hello world")
		},
	)
	if err := app.Run(":8080"); err != nil {
		panic(err)
	}
}

Benchmark

wrk -c 500 -d 1m -t 5 http://127.0.0.1:8080/hello

MemoryStore

MemoryStore QPS

RedisStore

RedisStore QPS

About

🚀 A high performance gin middleware to cache http response. Compared to gin-contrib/cache, It has a huge performance improvement. 高性能gin缓存中间件,相比于官方版本,有巨大性能提升。

Topics

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Contributors 3

  •  
  •  
  •  

Languages