Hystrix集群及监控turbine、服务降级、集群超时时间设置

Hystrix集群及监控turbine

前面Dashboard演示的仅仅是单机服务监控，实际项目基本都是集群，所以这里集群监控用的是turbine。

说明：本篇博客基于上一篇的配置 springCould 之 Hystrix断路器
新建服务提供这集群项目（这是一个项目，通过不同配置达到集群的目的）和上片博客中microservice-book-provider-hystrix-1005一样copy就行了，下面是不同的部分

application.yml

---
server:
  port: 1004
  context-path: /
spring:
  datasource:
    type: com.alibaba.druid.pool.DruidDataSource
    driver-class-name: com.mysql.jdbc.Driver
    url: jdbc:mysql://localhost:3306/cpc?useUnicode=true&characterEncoding=UTF-8&useJDBCCompliantTimezoneShift=true&useLegacyDatetimeCode=false&serverTimezone=UTC
    username: root
    password: root
  jpa:
    hibernate:
      ddl-auto: update
    show-sql: true
  application:
    name: microservice-book
  profiles: provider-hystrix-1004

eureka:
  instance:
    hostname: localhost
    appname: microservice-book
    instance-id: microservice-book:1004
    prefer-ip-address: true
  client:
    service-url:
      defaultZone: http://eureka2001.cpc.com:2001/eureka/,http://eureka2002.cpc.com:2002/eureka/,http://eureka2003.cpc.com:2003/eureka/

info:
  groupId: com.cpc.testSpringcloud
  artifactId: microservice-book-provider-hystrix-1004
  version: 1.0-SNAPSHOT
  userName: http://cpc.com
  phone: 123456

hystrix:
  command:
    default:
      execution:
        isolation:
          thread:
            timeoutInMilliseconds:  1500

---
server:
  port: 1005
  context-path: /
spring:
  datasource:
    type: com.alibaba.druid.pool.DruidDataSource
    driver-class-name: com.mysql.jdbc.Driver
    url: jdbc:mysql://localhost:3306/cpc?useUnicode=true&characterEncoding=UTF-8&useJDBCCompliantTimezoneShift=true&useLegacyDatetimeCode=false&serverTimezone=UTC
    username: root
    password: root
  jpa:
    hibernate:
      ddl-auto: update
    show-sql: true
  application:
    name: microservice-book
  profiles: provider-hystrix-1005

eureka:
  instance:
    hostname: localhost
    appname: microservice-book
    instance-id: microservice-book:1005
    prefer-ip-address: true
  client:
    service-url:
      defaultZone: http://eureka2001.cpc.com:2001/eureka/,http://eureka2002.cpc.com:2002/eureka/,http://eureka2003.cpc.com:2003/eureka/

info:
  groupId: com.cpc.testSpringcloud
  artifactId: microservice-book-provider-hystrix-1005
  version: 1.0-SNAPSHOT
  userName: http://cpc.com
  phone: 123456

hystrix:
  command:
    default:
      execution:
        isolation:
          thread:
            timeoutInMilliseconds: 10000

---
server:
  port: 1006
  context-path: /
spring:
  datasource:
    type: com.alibaba.druid.pool.DruidDataSource
    driver-class-name: com.mysql.jdbc.Driver
    url: jdbc:mysql://localhost:3306/cpc?useUnicode=true&characterEncoding=UTF-8&useJDBCCompliantTimezoneShift=true&useLegacyDatetimeCode=false&serverTimezone=UTC
    username: root
    password: root
  jpa:
    hibernate:
      ddl-auto: update
    show-sql: true
  application:
    name: microservice-book
  profiles: provider-hystrix-1006

eureka:
  instance:
    hostname: localhost
    appname: microservice-book
    instance-id: microservice-book:1006
    prefer-ip-address: true
  client:
    service-url:
      defaultZone: http://eureka2001.cpc.com:2001/eureka/,http://eureka2002.cpc.com:2002/eureka/,http://eureka2003.cpc.com:2003/eureka/

info:
  groupId: com.cpc.testSpringcloud
  artifactId: microservice-book-provider-hystrix-1006
  version: 1.0-SNAPSHOT
  userName: http://cpc.com
  phone: 123456

hystrix:
  command:
    default:
      execution:
        isolation:
          thread:
            timeoutInMilliseconds: 10000     

启动类：

package com.cpc.microservicebookproviderhystrix;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.autoconfigure.domain.EntityScan;
import org.springframework.cloud.client.circuitbreaker.EnableCircuitBreaker;
import org.springframework.cloud.netflix.eureka.EnableEurekaClient;


@EnableCircuitBreaker //关键部分
@EntityScan("com.cpc.*.*")
@EnableEurekaClient
@SpringBootApplication
public class MicroserviceBookProviderHystrixApplication {

  public static void main(String[] args) {
      SpringApplication.run(MicroserviceBookProviderHystrixApplication.class, args);
  }

}

Run/Debug Configurations

消费者集群配置完成了

新建项目microservice-book-consumer-hystrix-turbine-91

pom.xml加下依赖

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-starter-turbine</artifactId>
</dependency>

application.yml

server:
  port: 91
  context-path: /
eureka:
  client:
    service-url:
      defaultZone: http://eureka2001.cpc.com:2001/eureka/,http://eureka2002.cpc.com:2002/eureka/,http://eureka2003.cpc.com:2003/eureka/
turbine:
  app-config: microservice-book   # 指定要监控的应用名称
  clusterNameExpression: "'default'" #表示集群的名字为default
spring:
  application:
    name: turbine

启动类

package com.cpc.microservicebookconsumerhystrixturbine91;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.autoconfigure.jdbc.DataSourceAutoConfiguration;
import org.springframework.boot.autoconfigure.orm.jpa.HibernateJpaAutoConfiguration;
import org.springframework.cloud.netflix.turbine.EnableTurbine;

@EnableTurbine
@SpringBootApplication(exclude={DataSourceAutoConfiguration.class, HibernateJpaAutoConfiguration.class})
public class MicroserviceBookConsumerHystrixTurbine91Application {

   public static void main(String[] args) {
       SpringApplication.run(MicroserviceBookConsumerHystrixTurbine91Application.class, args);
   }

}

测试
先启动三个eureka，然后把带刚刚配置带的 hystrix 的服务都启动；
microservice-book-consumer-80(消费者)这个也启动，方便测试；启动dashboard服务，启动turbine服务；

http://localhost:91/turbine.stream 可以监控数据，实时ping 返回data

输入http://localhost:90/hystrix进入仪表盘，输入地址

点击 进入集群监控仪表：

服务降级

所谓降级,一般是从整体负荷考虑。就是当某个服务熔断之后,服务器将不再被调用此时客户端可以自己准备一个本地的fallback回调,返回一个缺省值。这样做,虽然服务水平下降,但好歹可用,比直接挂掉要强。

整体资源快不够了,忍痛将某些服务先关闭,待度过难关,再开启回来.例如：
假设银行有3个窗口A,B,C，每个窗口提供不同的业务，现在A窗口的服务人员，人手不够急需从C或者B窗口调人处理业务，C或者B窗口挂起暂停服务的牌子

服务降级处理是在客户端,也就是消费者(调用方)实现完成的,与服务端没有关系

服务熔断的做法需要一个方法就需要一个回复的方法,并且回复的方法和业务逻辑方法在一起,代码过于耦合,所以接下来试试这个服务降级的操作:

通用模块配置

服务降级要配合 feign 调用方式才能使用，降级是在消费者方做的 所以直接修改通用模块的代码，先写一个降级处理类,实现FallbackFactory<StudentClientService>接口；

package com.cpc.common.service;

import com.cpc.common.entity.Book;
import feign.hystrix.FallbackFactory;
import org.springframework.stereotype.Component;

import java.util.HashMap;
import java.util.List;
import java.util.Map;

/**
 * @Description: 这是降级处理类
 * @Author: cpc
 * @Date: 2019-11-22 18:34
 * @Version: V1.0
 */
@Component // 不要忘记添加，不要忘记添加，千万不要忘记 这是一个巨大的坑
public class BookServiceFallbackFactory implements FallbackFactory<BookClientService> {

    @Override
    public BookClientService create(Throwable throwable) {
       	//实现BookClientService 这个接口，当调用服务端失败的时候就走这里面对应方法的逻辑
        return new BookClientService() {
            @Override
            public Map<String, Object> hystrix() {
                Map<String,Object> map=new HashMap<String,Object>();
                map.put("code", 500);
                map.put("info", "这是在客户端做服务降级");
                return map;
            }

            @Override
            public Book get(Integer id) {
                return null;
            }

            @Override
            public List<Book> list() {
                return null;
            }

            @Override
            public boolean save(Book book) {
                return false;
            }

            @Override
            public boolean delete(Integer id) {
                return false;
            }

            @Override
            public String ribbon() {
                return null;
            }
        };
    }
}

feign 调用接口:重点是在FeignClient注解上加了fallbackFactory 这个参数

package com.cpc.common.service;

import com.cpc.common.entity.Book;
import org.springframework.cloud.netflix.feign.FeignClient;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;

import java.util.List;
import java.util.Map;

/**
 * Book Feign接口客户端
 * @author Administrator
 *
 */
 // fallbackFactory 是指定降级处理实现类 
@FeignClient(value = "MICROSERVICE-BOOK", fallbackFactory = BookServiceFallbackFactory.class)
public interface BookClientService {
 
    /**
     * 根据id查询学生信息
     * @param id
     * @return
     */
    @GetMapping(value="/book/get/{id}")
    public Book get(@PathVariable("id") Integer id);
     
    /**
     * 查询学生信息
     * @return
     */
    @GetMapping(value="/book/list")
    public List<Book> list();
     
    /**
     * 添加或者修改学生信息
     * @param book
     * @return
     */
    @PostMapping(value="/book/save")
    public boolean save(Book book);
     
    /**
     * 根据id删除学生信息
     * @return
     */
    @GetMapping(value="/book/delete/{id}")
    public boolean delete(@PathVariable("id") Integer id);

    @RequestMapping("/book/ribbon")
    public String ribbon();


    /**
     * 这是测试服务熔断的
     * @return
     */
    @RequestMapping("/book/hystrix")
    public Map<String, Object> hystrix();
}

microservice-feign-consumer-feign-80修改(具体的服务调用方)
BookConsumerController

package com.cpc.microservicebookconsumerfeign80.controller;

import com.cpc.common.entity.Book;
import com.cpc.common.service.BookClientService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;

import java.util.List;
import java.util.Map;

@RestController
@RequestMapping("/book")
public class BookConsumerController  {

    @Autowired
    private BookClientService bookClientService;

    @PostMapping(value = "/save")
    private boolean save(Book book) {
        return bookClientService.save(book);
    }

    @GetMapping(value = "/list")
    public List<Book> list() {
        return bookClientService.list();
    }

    @GetMapping(value = "/get/{id}")
    public Book get(@PathVariable("id") Integer id) {
        return bookClientService.get(id);
    }

    @GetMapping(value = "/delete/{id}")
    public boolean delete(@PathVariable("id") Integer id) {
        try {
            bookClientService.delete(id);
            return true;
        } catch (Exception e) {
            return false;
        }
    }

    @RequestMapping("/ribbon")
    public String ribbon(){
        return bookClientService.ribbon();
    }

    @RequestMapping("/hystrix")
    public Map<String, Object> hystrix(){
        return bookClientService.hystrix();
    }

}

启动类配置

package com.cpc.microservicebookconsumerfeign80;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.autoconfigure.jdbc.DataSourceAutoConfiguration;
import org.springframework.boot.autoconfigure.orm.jpa.HibernateJpaAutoConfiguration;
import org.springframework.cloud.netflix.eureka.EnableEurekaClient;
import org.springframework.cloud.netflix.feign.EnableFeignClients;
import org.springframework.context.annotation.ComponentScan;

@EnableEurekaClient
@EnableFeignClients(basePackages = {"com.cpc"})
//注意这里，如果通用模块包名不同那么是可能无法将对应的类加入ioc容器，这个配置非常的重要
@ComponentScan(basePackages = {"com.cpc.common.service", "com.cpc.microservicebookconsumerfeign80"})
@SpringBootApplication(exclude={DataSourceAutoConfiguration.class, HibernateJpaAutoConfiguration.class})
public class MicroserviceBookConsumerFeign80Application {

    public static void main(String[] args) {
        SpringApplication.run(MicroserviceBookConsumerFeign80Application.class, args);
    }

}

application.yml 中添加如下配置

feign:    #feign负载均衡启动 hystrix
  hystrix:
    enabled: true

测试
启动eureka集群，启动服务提供者集群，启动服务消费者，测试调用 http://localhost/book/hystrix,当服务提供者那边调用不到，或者超时异常的时候

消费者超时设置

使用Feign调用接口分两层，ribbon的调用和hystrix的调用，所以ribbon的超时时间和Hystrix的超时时间的结合就是Feign的超时时间

# 这是 ribbon 调用超时时间设置
ribbon:
  ReadTimeout: 10000
  ConnectTimeout: 9000

#hystrix的超时时间
hystrix:
  command:
    default:
      execution:
        timeout:
          enabled: true
        isolation:
          thread:
            timeoutInMilliseconds: 9000

一般情况下 都是 ribbon 的超时时间（<）hystrix的超时时间（因为涉及到ribbon的重试机制）