hystrix主要做用在服務消費者,進行應用的保護,當請求的服務請求超時時,作出相應的處理,避免客戶端一直進行請求等待,避免在高併發的狀況出現服務器死機(請求過多,內存不足)java
接下來的經過一個案例對hystrix的使用進行說明,案例完成的功能:須要JAVA Spring Cloud大型企業分佈式微服務雲構建的B2B2C電子商務平臺源碼 一零三八七七四六二六mysql
服務消費者根據Id調用服務提供者的接口,獲取User表單的對應的記錄,若請求超時則返回id爲-1的User記錄web
1、基於Ribbonspring
<parent> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-parent</artifactId> <version>1.5.2.RELEASE</version> <relativePath/> <!-- lookup parent from repository --> </parent> <properties> <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding> <java.version>1.8</java.version> <mybatis-spring-boot.version>1.2.0</mybatis-spring-boot.version> <mysql-connector.version>5.1.39</mysql-connector.version> </properties> <dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.springframework.cloud</groupId> <artifactId>spring-cloud-starter-eureka</artifactId> <version>1.3.5.RELEASE</version> </dependency> <dependency> <groupId>org.springframework.cloud</groupId> <artifactId>spring-cloud-starter-hystrix</artifactId> <version>1.3.5.RELEASE</version> </dependency> </dependencies>
二、application.ymlsql
server: port: 8089 spring: application: name: customer-user eureka: client: serviceUrl: defaultZone: http://user:zj123@localhost:8761/eureka instance: prefer-ip-address: true instance-id: ${spring.application.name}:${spring.cloud.client.ipAddress}:${spring.application.instance_id:${server.port}} provider-user: ribbon: NFLoadBalancerRuleClassName: com.netflix.loadbalancer.RandomRule
三、Controller調用類服務器
import org.springframework.beans.factory.annotation.Autowired; import org.springframework.http.MediaType; import org.springframework.web.bind.annotation.GetMapping; import org.springframework.web.bind.annotation.PathVariable; import org.springframework.web.bind.annotation.RestController; import org.springframework.web.client.RestTemplate; import com.netflix.hystrix.contrib.javanica.annotation.HystrixCommand; import com.zhuojing.bean.User; @RestController public class UserController { @Autowired private RestTemplate restTemplate; @GetMapping(value="/simple/{id}",produces=MediaType.APPLICATION_JSON_VALUE+";charset=utf-8") @HystrixCommand(fallbackMethod = "findByIdFallback") public User findUserById(@PathVariable Long id){ //服務提供者地址 PROVIDER-USER return this.restTemplate.getForObject("http://PROVIDER-USER/simple/"+id, User.class); } /** * 斷路器模式,當請求的消費者provider-user超時的狀況下,就會直接調用此方法,此方法的參數和返回類型必須和findUserById方法一致,請求超時時間爲1秒 * @param id * @return */ public User findByIdFallback(Long id){ User user = new User(); user.setId(0L); return user; } }
hystrix的默認的超時時間爲1秒,若自定hystrix超時時間有一下兩種方式mybatis
a、@HystrixCommand註解配置併發
@HystrixCommand(fallbackMethod = "findByIdFallback",commandProperties = { @HystrixProperty(name = "execution.isolation.thread.timeoutInMilliseconds",value = "3000") })
b、在application.yml配置app
hystrix.command.default.execution.isolation.thread.timeoutInMilliseconds: 5000dom
四、啓動類
import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; import org.springframework.cloud.client.circuitbreaker.EnableCircuitBreaker; import org.springframework.cloud.client.loadbalancer.LoadBalanced; import org.springframework.cloud.netflix.eureka.EnableEurekaClient; import org.springframework.cloud.netflix.ribbon.RibbonClient; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.ComponentScan; import org.springframework.context.annotation.FilterType; import org.springframework.web.client.RestTemplate; @SpringBootApplication @EnableEurekaClient @EnableCircuitBreaker public class AppCusRibbonPropertiesTest { @Bean @LoadBalanced public RestTemplate restTemplate(){ return new RestTemplate(); } public static void main(String[] args) { SpringApplication.run(AppCusRibbonPropertiesTest.class, args); } }
2、dashboard的使用
一、pom.xml
<parent> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-parent</artifactId> <version>1.5.2.RELEASE</version> <relativePath/> <!-- lookup parent from repository --> </parent> <dependencies> <dependency> <groupId>org.springframework.cloud</groupId> <artifactId>spring-cloud-starter-hystrix-dashboard</artifactId> <version>1.3.5.RELEASE</version> </dependency> </dependencies>
二、application.yml
server: port: 8030
三、啓動類
import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; import org.springframework.cloud.netflix.hystrix.dashboard.EnableHystrixDashboard; @EnableHystrixDashboard @SpringBootApplication public class DashboardApplication { public static void main(String[] args) { SpringApplication.run(DashboardApplication.class, args); } }
啓動後訪問:http:/ /localhost:8030/hystrix 進入首頁,在地址欄上輸入http:/ /localhost:8089/hystrix.stream(hystrix.stream)進行監控,在使用了hystrix的服務調用後纔有數據。
3、Turbine的使用,Turbine是對微服務集羣的監聽
一、pom.xml
<parent> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-parent</artifactId> <version>1.5.2.RELEASE</version> <relativePath/> <!-- lookup parent from repository --> </parent> <dependencies> <dependency> <groupId>org.springframework.cloud</groupId> <artifactId>spring-cloud-starter-turbine</artifactId> <version>1.3.5.RELEASE</version> </dependency> </dependencies>
二、application.yml
server: port: 8031 spring: application: name: microservice-hystrix-turbine eureka: client: serviceUrl: defaultZone: http://user:zj123@localhost:8761/eureka instance: prefer-ip-address: true turbine: aggregator: clusterConfig: default #默認defualt,只有一個服務時候能夠寫服務名稱的大寫CUSTOMER-USER appConfig: customer-user clusterNameExpression: "'default'"
三、啓動類
import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; import org.springframework.cloud.netflix.turbine.EnableTurbine; @EnableTurbine @SpringBootApplication public class TurbineApplication { public static void main(String[] args) { SpringApplication.run(TurbineApplication.class, args); } }
hystrix 主頁面中將localhost:8031/turbine.stream?cluster=CUSTOMER-USER填入,即可進行數據的圖像化。