go-kit组件使用hystrix中间件的操作
在微服务架构中,服务之间的调用是非常频繁的。当某个服务出现故障或者网络延迟时,会导致整个系统的性能下降。为了解决这个问题,我们可以使用熔断器模式。Hystrix是一个熔断器框架,可以帮助我们实现熔断器模式。在本攻略中,我们将介绍如何在go-kit组件中使用hystrix中间件。
1. Hystrix中间件
Hystrix中间件是一个go-kit组件,可以帮助我们实现熔断器模式。以下是一些常见的Hystrix中间件相关问题:
1.1 Hystrix中间件的原理
Hystrix中间件的原理是基于熔断器模式来实现的。当某个服务出现故障或者网络延迟时,Hystrix会自动熔断该服务,并使用fallback方法来返回一个默认值或者错误信息。当服务恢复正常时,Hystrix会自动关闭熔断器,并重新调用该服务。
1.2 Hystrix中间件的使用
Hystrix中间件的使用非常简单。我们只需要在go-kit的endpoint中添加Hystrix中间件即可。以下是一个示例:
import (
"github.com/go-kit/kit/endpoint"
"github.com/afex/hystrix-go/hystrix"
)
func MakeHelloEndpoint(svc Service) endpoint.Endpoint {
return hystrix.NewEndpoint(
func(ctx context.Context, request interface{}) (interface{}, error) {
req := request.(helloRequest)
resp, err := svc.Hello(ctx, req.Name)
if err != nil {
return nil, err
}
return helloResponse{Message: resp}, nil
},
hystrix.ConfigureCommand("hello", hystrix.CommandConfig{
Timeout: 1000,
MaxConcurrentRequests: 100,
ErrorPercentThreshold: 25,
}),
func(ctx context.Context, err error) (interface{}, error) {
return nil, err
},
)
}
在上面的示例中,我们首先导入了Hystrix中间件和go-kit的endpoint。然后,我们定义了一个MakeHelloEndpoint函数,其中包含了Hystrix中间件。在NewEndpoint方法中,我们首先定义了一个匿名函数,该函数会调用svc.Hello方法,并返回结果。然后,我们使用ConfigureCommand方法来配置Hystrix的参数。最后,我们定义了一个fallback函数,该函数会返回一个错误信息。
2. 示例1:使用Hystrix中间件实现熔断器模式
以下是一个示例,它演示了如何使用Hystrix中间件实现熔断器模式:
import (
"context"
"errors"
"fmt"
"time"
"github.com/go-kit/kit/endpoint"
"github.com/go-kit/kit/log"
"github.com/go-kit/kit/metrics"
"github.com/go-kit/kit/metrics/prometheus"
"github.com/go-kit/kit/transport"
"github.com/gorilla/mux"
stdprometheus "github.com/prometheus/client_golang/prometheus"
"github.com/prometheus/client_golang/prometheus/promhttp"
"github.com/afex/hystrix-go/hystrix"
)
func main() {
logger := log.NewLogfmtLogger(os.Stderr)
fieldKeys := []string{"method", "error"}
requestCount := prometheus.NewCounterFrom(stdprometheus.CounterOpts{
Namespace: "my_service",
Subsystem: "hello",
Name: "request_count",
Help: "Number of requests received.",
}, fieldKeys)
requestLatency := prometheus.NewSummaryFrom(stdprometheus.SummaryOpts{
Namespace: "my_service",
Subsystem: "hello",
Name: "request_latency_microseconds",
Help: "Total duration of requests in microseconds.",
}, fieldKeys)
countResult := prometheus.NewSummaryFrom(stdprometheus.SummaryOpts{
Namespace: "my_service",
Subsystem: "hello",
Name: "count_result",
Help: "The result of each count method.",
}, []string{}) // no fields here
var svc Service
svc = helloService{}
svc = loggingMiddleware(logger)(svc)
svc = instrumentingMiddleware(requestCount, requestLatency, countResult)(svc)
svc = hystrixMiddleware(svc)
helloHandler := transport.NewServer(
MakeHelloEndpoint(svc),
decodeHelloRequest,
encodeHelloResponse,
)
r := mux.NewRouter()
r.Handle("/hello", helloHandler).Methods("POST")
r.Handle("/metrics", promhttp.Handler())
http.ListenAndServe(":8080", r)
}
func hystrixMiddleware(svc Service) Service {
return serviceMiddleware{
next: svc,
hello: hystrix.NewCommand(
hystrix.CommandConfig{
Timeout: 1000,
MaxConcurrentRequests: 100,
ErrorPercentThreshold: 25,
},
func(ctx context.Context, request interface{}) (interface{}, error) {
req := request.(helloRequest)
resp, err := svc.Hello(ctx, req.Name)
if err != nil {
return nil, err
}
return helloResponse{Message: resp}, nil
},
func(ctx context.Context, err error) (interface{}, error) {
return nil, err
},
),
}
}
type serviceMiddleware struct {
next Service
hello endpoint.Endpoint
}
func (mw serviceMiddleware) Hello(ctx context.Context, name string) (string, error) {
resp, err := mw.hello(ctx, helloRequest{Name: name})
if err != nil {
return "", err
}
response := resp.(helloResponse)
return response.Message, nil
}
在上面的示例中,我们首先定义了一个hystrixMiddleware函数,该函数会返回一个serviceMiddleware对象。在serviceMiddleware对象中,我们定义了一个hello字段,该字段会调用hystrix.NewCommand方法,并使用svc.Hello方法作为fallback函数。然后,我们定义了一个serviceMiddleware的Hello方法,该方法会调用hello字段,并返回结果。
3. 示例2:使用Hystrix中间件实现熔断器模式(带有缓存)
以下是另一个示例,它演示了如何使用Hystrix中间件实现熔断器模式,并带有缓存:
import (
"context"
"errors"
"fmt"
"time"
"github.com/go-kit/kit/endpoint"
"github.com/go-kit/kit/log"
"github.com/go-kit/kit/metrics"
"github.com/go-kit/kit/metrics/prometheus"
"github.com/go-kit/kit/transport"
"github.com/gorilla/mux"
stdprometheus "github.com/prometheus/client_golang/prometheus"
"github.com/prometheus/client_golang/prometheus/promhttp"
"github.com/afex/hystrix-go/hystrix"
"github.com/patrickmn/go-cache"
)
func main() {
logger := log.NewLogfmtLogger(os.Stderr)
fieldKeys := []string{"method", "error"}
requestCount := prometheus.NewCounterFrom(stdprometheus.CounterOpts{
Namespace: "my_service",
Subsystem: "hello",
Name: "request_count",
Help: "Number of requests received.",
}, fieldKeys)
requestLatency := prometheus.NewSummaryFrom(stdprometheus.SummaryOpts{
Namespace: "my_service",
Subsystem: "hello",
Name: "request_latency_microseconds",
Help: "Total duration of requests in microseconds.",
}, fieldKeys)
countResult := prometheus.NewSummaryFrom(stdprometheus.SummaryOpts{
Namespace: "my_service",
Subsystem: "hello",
Name: "count_result",
Help: "The result of each count method.",
}, []string{}) // no fields here
var svc Service
svc = helloService{}
svc = loggingMiddleware(logger)(svc)
svc = instrumentingMiddleware(requestCount, requestLatency, countResult)(svc)
svc = hystrixMiddleware(svc)
svc = cachingMiddleware(svc)
helloHandler := transport.NewServer(
MakeHelloEndpoint(svc),
decodeHelloRequest,
encodeHelloResponse,
)
r := mux.NewRouter()
r.Handle("/hello", helloHandler).Methods("POST")
r.Handle("/metrics", promhttp.Handler())
http.ListenAndServe(":8080", r)
}
func cachingMiddleware(svc Service) Service {
c := cache.New(5*time.Minute, 10*time.Minute)
return serviceMiddleware{
next: svc,
hello: func(ctx context.Context, name string) (string, error) {
if x, found := c.Get(name); found {
return x.(string), nil
}
resp, err := svc.Hello(ctx, name)
if err == nil {
c.Set(name, resp, cache.DefaultExpiration)
}
return resp, err
},
}
}
在上面的示例中,我们首先定义了一个cachingMiddleware函数,该函数会返回一个serviceMiddleware对象。在serviceMiddleware对象中,我们定义了一个hello字段,该字段会使用go-cache库来实现缓存。然后,我们定义了一个serviceMiddleware的Hello方法,该方法会调用hello字段,并返回结果。
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