SpringCloud之熔断监控HystrixDashboard和Turbine
Hystrix-dashboard是一款针对Hystrix进行实时监控的工具,通过Hystrix Dashboard我们可以在直观地看到各
Hystrix Command的请求响应时间, 请求成功率等数据。但是只使用Hystrix Dashboard的话, 你只能看到单个应
用内的服务信息,这明显不够。我们需要一个工具能让我们汇总系统内多个服务的数据并显示到Hystrix
Dashboard上,这个工具就是Turbine。
1、Hystrix Dashboard
我们在熔断示例项目的基础上更改。
1.1 添加依赖
xml
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>1.5.3.RELEASE</version>
<relativePath/>
</parent>
<groupId>com.example</groupId>
<artifactId>spring-cloud-consumer-hystrix-dashboard</artifactId>
<version>0.0.1-SNAPSHOT</version>
<name>spring-cloud-consumer-hystrix-dashboard</name>
<description>spring-cloud-consumer-hystrix-dashboard</description>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<java.version>1.8</java.version>
<spring-cloud.version>Dalston.RELEASE</spring-cloud.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-feign</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-eureka</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-hystrix</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-hystrix-dashboard</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
<dependencyManagement>
<dependencies>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-dependencies</artifactId>
<version>${spring-cloud.version}</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
</plugins>
</build>
</project>
1.2 启动类
启动类添加启用Hystrix Dashboard和熔断器
java
package com.example;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.client.circuitbreaker.EnableCircuitBreaker;
import org.springframework.cloud.client.discovery.EnableDiscoveryClient;
import org.springframework.cloud.netflix.feign.EnableFeignClients;
import org.springframework.cloud.netflix.hystrix.dashboard.EnableHystrixDashboard;
@SpringBootApplication
@EnableDiscoveryClient
@EnableFeignClients
@EnableHystrixDashboard
@EnableCircuitBreaker
public class SpringCloudConsumerHystrixDashboardApplication {
public static void main(String[] args) {
SpringApplication.run(SpringCloudConsumerHystrixDashboardApplication.class, args);
}
}
1.3 其它类
java
package com.example.remote;
import org.springframework.cloud.netflix.feign.FeignClient;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
@FeignClient(name= "spring-cloud-producer", fallback = HelloRemoteHystrix.class)
public interface HelloRemote {
@RequestMapping(value = "/hello")
public String hello(@RequestParam(value = "name") String name);
}
java
package com.example.remote;
import org.springframework.stereotype.Component;
import org.springframework.web.bind.annotation.RequestParam;
@Component
public class HelloRemoteHystrix implements HelloRemote{
@Override
public String hello(@RequestParam(value = "name") String name) {
return "hello " +name+", this messge send failed ";
}
}
java
package com.example.controller;
import com.example.remote.HelloRemote;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
@RestController
public class ConsumerController {
@Autowired
HelloRemote helloRemote;
@RequestMapping("/hello/{name}")
public String index(@PathVariable("name") String name) {
return helloRemote.hello(name);
}
}
properties
spring.application.name=spring-cloud-consumer-hystrix-dashboard
server.port=9003
feign.hystrix.enabled=true
eureka.client.serviceUrl.defaultZone=http://localhost:8000/eureka/
1.4 测试
启动工程后访问 http://localhost:9003/hystrix
,将会看到如下界面:
图中会有一些提示:
Cluster via Turbine (default cluster):
http://turbine-hostname:port/turbine.stream
Cluster via Turbine (custom cluster):
http://turbine-hostname:port/turbine.stream?cluster=[clusterName]
Single Hystrix App:
http://hystrix-app:port/hystrix.stream
大概意思就是如果查看默认集群使用第一个url,查看指定集群使用第二个url,单个应用的监控使用最后一个,我
们暂时只演示单个应用的所以在输入框中输入: http://localhost:9003/hystrix.stream
,输入之后点击
monitor,进入页面。如果没有请求会先显示Loading ...
:
访问 http://localhost:9003/hystrix.stream
也会不断的显示ping。
请求服务 http://localhost:9003/hello/neo
,就可以看到监控的效果了:
首先访问 http://localhost:9003/hystrix.stream
,显示如下:
json
data: {"type":"HystrixCommand","name":"HelloRemote#hello(String)","group":"spring-cloud-producer","currentTime":1662554090588,"isCircuitBreakerOpen":false,"errorPercentage":0,"errorCount":0,"requestCount":0,"rollingCountBadRequests":0,"rollingCountCollapsedRequests":0,"rollingCountEmit":0,"rollingCountExceptionsThrown":0,"rollingCountFailure":0,"rollingCountFallbackEmit":0,"rollingCountFallbackFailure":0,"rollingCountFallbackMissing":0,"rollingCountFallbackRejection":0,"rollingCountFallbackSuccess":0,"rollingCountResponsesFromCache":0,"rollingCountSemaphoreRejected":0,"rollingCountShortCircuited":0,"rollingCountSuccess":0,"rollingCountThreadPoolRejected":0,"rollingCountTimeout":0,"currentConcurrentExecutionCount":0,"rollingMaxConcurrentExecutionCount":0,"latencyExecute_mean":0,"latencyExecute":{"0":0,"25":0,"50":0,"75":0,"90":0,"95":0,"99":0,"99.5":0,"100":0},"latencyTotal_mean":0,"latencyTotal":{"0":0,"25":0,"50":0,"75":0,"90":0,"95":0,"99":0,"99.5":0,"100":0},"propertyValue_circuitBreakerRequestVolumeThreshold":20,"propertyValue_circuitBreakerSleepWindowInMilliseconds":5000,"propertyValue_circuitBreakerErrorThresholdPercentage":50,"propertyValue_circuitBreakerForceOpen":false,"propertyValue_circuitBreakerForceClosed":false,"propertyValue_circuitBreakerEnabled":true,"propertyValue_executionIsolationStrategy":"THREAD","propertyValue_executionIsolationThreadTimeoutInMilliseconds":1000,"propertyValue_executionTimeoutInMilliseconds":1000,"propertyValue_executionIsolationThreadInterruptOnTimeout":true,"propertyValue_executionIsolationThreadPoolKeyOverride":null,"propertyValue_executionIsolationSemaphoreMaxConcurrentRequests":10,"propertyValue_fallbackIsolationSemaphoreMaxConcurrentRequests":10,"propertyValue_metricsRollingStatisticalWindowInMilliseconds":10000,"propertyValue_requestCacheEnabled":true,"propertyValue_requestLogEnabled":true,"reportingHosts":1,"threadPool":"spring-cloud-producer"}
data: {"type":"HystrixThreadPool","name":"spring-cloud-producer","currentTime":1662554090588,"currentActiveCount":0,"currentCompletedTaskCount":1,"currentCorePoolSize":10,"currentLargestPoolSize":1,"currentMaximumPoolSize":10,"currentPoolSize":1,"currentQueueSize":0,"currentTaskCount":1,"rollingCountThreadsExecuted":0,"rollingMaxActiveThreads":0,"rollingCountCommandRejections":0,"propertyValue_queueSizeRejectionThreshold":5,"propertyValue_metricsRollingStatisticalWindowInMilliseconds":10000,"reportingHosts":1}
ping:
说明已经返回了监控的各项结果。
到监控页面就会显示如下图:
其实就是 http://localhost:9003/hystrix.stream
返回结果的图形化显示,Hystrix Dashboard Wiki上详细
说明了图上每个指标的含义,如下图:
到此单个应用的熔断监控已经完成。
2、Turbine
在复杂的分布式系统中,相同服务的节点经常需要部署上百甚至上千个,很多时候,运维人员希望能够把相同服务
的节点状态以一个整体集群的形式展现出来,这样可以更好的把握整个系统的状态。 为此,Netflix提供了一个开
源项目(Turbine)来提供把多个hystrix.stream的内容聚合为一个数据源供Dashboard展示。
2.1 添加依赖
xml
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>1.5.3.RELEASE</version>
<relativePath/>
</parent>
<groupId>com.example</groupId>
<artifactId>spring-cloud-hystrix-dashboard-turbine</artifactId>
<version>0.0.1-SNAPSHOT</version>
<name>spring-cloud-hystrix-dashboard-turbine</name>
<description>spring-cloud-hystrix-dashboard-turbine</description>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<java.version>1.8</java.version>
<spring-cloud.version>Dalston.RELEASE</spring-cloud.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-turbine</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-netflix-turbine</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-hystrix-dashboard</artifactId>
</dependency>
</dependencies>
<dependencyManagement>
<dependencies>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-dependencies</artifactId>
<version>${spring-cloud.version}</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
</plugins>
</build>
</project>
2.2 配置文件
properties
spring.application.name=hystrix-dashboard-turbine
server.port=8001
turbine.appConfig=node01,node02
turbine.aggregator.clusterConfig= default
turbine.clusterNameExpression= new String("default")
eureka.client.serviceUrl.defaultZone=http://localhost:8000/eureka/
-
turbine.appConfig
:配置Eureka中的serviceId列表,表明监控哪些服务。 -
turbine.aggregator.clusterConfig
:指定聚合哪些集群,多个使用","分割,默认为default。可使用http://.../turbine.stream?cluster={clusterConfig之一}
访问。 -
turbine.clusterNameExpression
:1、clusterNameExpression指定集群名称,默认表达式appName;此时:
turbine.aggregator.clusterConfig
需要配置想要监控的应用名称;2、当clusterNameExpression: default时,
turbine.aggregator.clusterConfig
可以不写,因为默认就是default;
3、当clusterNameExpression: metadata['cluster']时,假设想要监控的应用配置了
eureka.instance.metadata-map.cluster: ABC
,则需要配置,同时turbine.aggregator.clusterConfig: ABC
2.3 启动类
启动类添加@EnableTurbine
,激活对Turbine的支持
java
package com.example;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.netflix.hystrix.dashboard.EnableHystrixDashboard;
import org.springframework.cloud.netflix.turbine.EnableTurbine;
@SpringBootApplication
@EnableHystrixDashboard
@EnableTurbine
public class SpringCloudHystrixDashboardTurbineApplication {
public static void main(String[] args) {
SpringApplication.run(SpringCloudHystrixDashboardTurbineApplication.class, args);
}
}
到此Turbine(hystrix-dashboard-turbine)配置完成
2.4 测试
在示例项目spring-cloud-consumer-hystrix基础上修改为两个服务的调用者spring-cloud-consumer-node1和
spring-cloud-consumer-node2。
spring-cloud-consumer-node1
项目改动如下:application.properties
文件内容
properties
spring.application.name=node01
server.port=9001
feign.hystrix.enabled=true
eureka.client.serviceUrl.defaultZone=http://localhost:8000/eureka/
spring-cloud-consumer-node2
项目改动如下:application.properties
文件内容
properties
spring.application.name=node02
server.port=9002
feign.hystrix.enabled=true
eureka.client.serviceUrl.defaultZone=http://localhost:8000/eureka/
HelloRemote类修改:
java
package com.example.remote;
import org.springframework.cloud.netflix.feign.FeignClient;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
@FeignClient(name = "spring-cloud-producer", fallback = HelloRemoteHystrix.class)
public interface HelloRemote {
@RequestMapping(value = "/hello")
public String hello(@RequestParam(value = "name") String name);
}
对应的HelloRemoteHystrix
和ConsumerController
类跟随修改,具体查看代码
java
package com.example.remote;
import org.springframework.stereotype.Component;
import org.springframework.web.bind.annotation.RequestParam;
@Component
public class HelloRemoteHystrix implements HelloRemote{
@Override
public String hello(@RequestParam(value = "name") String name) {
return "hello " +name+", this messge send failed ";
}
}
java
package com.example.controller;
import com.example.remote.HelloRemote;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
@RestController
public class ConsumerController {
@Autowired
HelloRemote helloRemote;
@RequestMapping("/hello/{name}")
public String index(@PathVariable("name") String name) {
return helloRemote.hello(name);
}
}
修改完毕后,依次启动spring-cloud-eureka
、spring-cloud-consumer-node1
、spring-cloud-consumer-
node2
、spring-cloud-hystrix-dashboard-turbine
打开eureka后台可以看到注册了三个服务:
访问 http://localhost:8001/turbine.stream
返回:
json
: ping
data: {"reportingHostsLast10Seconds":0,"name":"meta","type":"meta","timestamp":1662554703162}
: ping
data: {"reportingHostsLast10Seconds":0,"name":"meta","type":"meta","timestamp":1662554706172}
并且会不断刷新以获取实时的监控数据,说明和单个的监控类似,返回监控项目的信息。
进行图形化监控查看,输入:http://localhost:8001/hystrix
,返回酷酷的小熊界面
输入:http://localhost:8001/turbine.stream
,然后点击 Monitor Stream ,可以看到出现了俩个监控列表
访问http://localhost:9001/hello/neo
和http://localhost:9002/hello/neo