流量控制设计理念
流量控制有以下几个角度:
- 资源和资源之间的关系;
- 运行指标,例如 QPS、线程池、系统负载等;
- 控制的效果,例如直接限流、冷启动、匀速+排队等待等。
Sentinel提供了几个组件让用户去实现相关的流控方案:
Sentinel 的设计理念是让您自由选择控制的角度,并进行灵活组合,从而达到想要的效果。
https://github.com/alibaba/sentinel-golang
demo:
package main
import (
sentinelPlugin "github.com/alibaba/sentinel-golang/adapter/gin"
sentinel "github.com/alibaba/sentinel-golang/api"
"github.com/alibaba/sentinel-golang/core/base"
"github.com/alibaba/sentinel-golang/core/config"
"github.com/alibaba/sentinel-golang/core/flow"
"github.com/alibaba/sentinel-golang/logging"
"github.com/gin-gonic/gin"
"log"
"math/rand"
"time"
)
func init() {
//初始化 sentinel
conf := config.NewDefaultConfig()
conf.Sentinel.Log.Logger = logging.NewConsoleLogger("cb-integration-normal")
conf.Sentinel.Log.Dir = "."
err := sentinel.InitWithConfig(conf)
if err != nil {
log.Fatal("err",err)
}
//go语言实现暂未发现appLimit即限制客户端每秒请求次数
if _, err := flow.LoadRules([]*flow.Rule{
{
Resource: "GET:/health",
MetricType: flow.QPS,
Count: 1,
TokenCalculateStrategy: flow.Direct,
ControlBehavior: flow.Reject,
},
});err != nil {
log.Fatalf("Unexpected error: %+v", err)
return
}
}
func main() {
r := gin.Default()
// Sentinel 会对每个 API route 进行统计,资源名称类似于 GET:/foo/:id
// 默认的限流处理逻辑是返回 429 (Too Many Requests) 错误码,支持配置自定义的 fallback 逻辑
r.Use(sentinelPlugin.SentinelMiddleware())
_, b := sentinel.Entry("some-test", sentinel.WithTrafficType(base.Inbound))
if b != nil {
// Blocked. We could get the block reason from the BlockError.
time.Sleep(time.Duration(rand.Uint64()%10) * time.Millisecond)
}else {
r.GET("/health", func(context *gin.Context) {
context.JSON(200, map[string]string{"status":"ok"})
})
}
_ = r.Run("0.0.0.0:8080")
}
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