赞
踩
什么是微服务
In short, the microservice architectural style is an approach to developing a single application as a suite of small services, each running in its own process and communicating with lightweight mechanisms, often an HTTP resource API. These services are built around business capabilities and independently deployable by fully automated deployment machinery. There is a bare minimum of centralized management of these services, which may be written in different programming languages and use different data storage technologies.——James Lewis and Martin Fowler (2014)
主题词01:现代数字化生活-落地维度
主题词02:分布式微服务架构-落地维度
满足哪些维度?支撑起这些维度的具体技术?
Spring Cloud简介
是什么?符合微服务技术维度
SpringCloud=分布式微服务架构的站式解决方案,是多种微服务架构落地技术的集合体,俗称微服务全家桶
猜猜SpringCloud这个大集合里有多少种技术?
SpringCloud俨然已成为微服务开发的主流技术栈,在国内开发者社区非常火爆。
“微”力十足,互联网大厂微服务架构案例
京东的:
阿里的:
京东物流的:
Spring Cloud技术栈
总结
Spring Boot 2.X 版
Spring Cloud H版
Spring Boot 与 Spring Cloud 兼容性查看
接下来开发用到的组件版本
停更引发的“升级惨案”
Cloud升级
服务注册中心
服务调用
服务调用2
服务降级
服务网关
服务配置
服务总线
约定 > 配置 > 编码
创建微服务cloud整体聚合父工程Project,有8个关键步骤:
archetype 英 [ˈɑːkitaɪp] 美 [ˈɑːrkitaɪp]
n. 典型
site 英 [saɪt] 美 [saɪt]
n. (建筑物、城镇等的)地点,位置,建筑工地;现场;发生地;场所;网站;站点
v. 使坐落在;为…选址
<?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 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.lun</groupId>
<artifactId>LearnCloud</artifactId>
<version>1.0.0-SNAPSHOT</version>
<packaging>pom</packaging><!-- 这里添加,注意不是jar或war -->
<!-- 统一管理jar包版本 -->
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<maven.compiler.source>1.8</maven.compiler.source>
<maven.compiler.target>1.8</maven.compiler.target>
<junit.version>4.12</junit.version>
<log4j.version>1.2.17</log4j.version>
<lombok.version>1.16.18</lombok.version>
<mysql.version>5.1.47</mysql.version>
<druid.version>1.1.16</druid.version>
<mybatis.spring.boot.version>1.3.0</mybatis.spring.boot.version>
</properties>
<!-- 子模块继承之后,提供作用:
锁定版本+子modlue不用写groupId和version -->
<dependencyManagement>
<dependencies>
<!--spring boot 2.2.2-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-dependencies</artifactId>
<version>2.2.2.RELEASE</version>
<type>pom</type>
<scope>import</scope>
</dependency>
<!--spring cloud Hoxton.SR1-->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-dependencies</artifactId>
<version>Hoxton.SR1</version>
<type>pom</type>
<scope>import</scope>
</dependency>
<!--spring cloud alibaba 2.1.0.RELEASE-->
<dependency>
<groupId>com.alibaba.cloud</groupId>
<artifactId>spring-cloud-alibaba-dependencies</artifactId>
<version>2.1.0.RELEASE</version>
<type>pom</type>
<scope>import</scope>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>${mysql.version}</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>${druid.version}</version>
</dependency>
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
<version>${mybatis.spring.boot.version}</version>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>${junit.version}</version>
</dependency>
<dependency>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
<version>${log4j.version}</version>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<version>${lombok.version}</version>
<optional>true</optional>
</dependency>
</dependencies>
</dependencyManagement>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
<configuration>
<fork>true</fork>
<addResources>true</addResources>
</configuration>
</plugin>
</plugins>
</build>
</project>
Maven使用dependencyManagement
元素来提供了一种管理依赖版本号的方式。
通常会在一个组织或者项目的最顶层的父POM中看到dependencyManagement
元素。
使用pom.xml中的dependencyManagement
元素能让所有在子项目中引用个依赖而不用显式的列出版本量。
Maven会沿着父子层次向上走,直到找到一个拥有dependencyManagement
元素的项目,然后它就会使用这个
dependencyManagement
元素中指定的版本号。
<dependencyManagement>
<dependencies>
<dependency>
<groupId>mysq1</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.2</version>
</dependency>
<dependencies>
</dependencyManagement>
然后在子项目里就可以添加mysql-connector
时可以不指定版本号,例如:
<dependencies>
<dependency>
<groupId>mysq1</groupId>
<artifactId>mysql-connector-java</artifactId>
</dependency>
</dependencies>
这样做的好处就是:如果有多个子项目都引用同一样依赖,则可以避免在每个使用的子项目里都声明一个版本号,这样当想升级或切换到另一个版本时,只需要在顶层父容器里更新,而不需要一个一个子项目的修改;另外如果某个子项目需要另外的一个版本,只需要声明version就可。
dependencyManagement
里只是声明依赖,并不实现引入,因此子项目需要显示的声明需要用的依赖。IDEA右侧旁的Maven插件有Toggle ' Skip Tests' Mode
按钮,这样maven可以跳过单元测试
父工程创建完成执行mvn : install
将父工程发布到仓库方便子工程继承。
创建微服务模块套路:
创建cloud-provider-payment8001微服务提供者支付Module模块:
1.建名为cloud-provider-payment8001的Maven工程
2.改POM
<?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 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<parent>
<artifactId>LearnCloud</artifactId>
<groupId>com.lun</groupId>
<version>1.0.0-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>cloud-provider-payment8001</artifactId>
<dependencies>
<!--包含了sleuth+zipkin-->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-zipkin</artifactId>
</dependency>
<!--eureka-client-->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-netflix-eureka-client</artifactId>
</dependency>
<!-- 引入自己定义的api通用包,可以使用Payment支付Entity -->
<!--
<dependency>
<groupId>com.atguigu.springcloud</groupId>
<artifactId>cloud-api-commons</artifactId>
<version>${project.version}</version>
</dependency>
-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.1.10</version>
</dependency>
<!--mysql-connector-java-->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
</dependency>
<!--jdbc-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-jdbc</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-devtools</artifactId>
<scope>runtime</scope>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
</project>
3.写YML
server:
port: 8001
spring:
application:
name: cloud-payment-service
datasource:
type: com.alibaba.druid.pool.DruidDataSource # 当前数据源操作类型
driver-class-name: org.gjt.mm.mysql.Driver # mysql驱动包
url: jdbc:mysql://localhost:3306/my?useUnicode=true&characterEncoding=utf-8&useSSL=false
username: root
password: 1234
mybatis:
mapperLocations: classpath:mapper/*.xml
type-aliases-package: com.lun.springcloud.entities # 所有Entity别名类所在包
4.主启动
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
@SpringBootApplication
public class PaymentMain001 {
public static void main(String[] args) {
SpringApplication.run(PaymentMain001.class, args);
}
}
5.业务类
SQL:
CREATE TABLE `payment`(
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT 'ID',
`serial` varchar(200) DEFAULT '',
PRIMARY KEY (id)
)ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8mb4
Entities:
实体类Payment:
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
import java.io.Serializable;
@Data
@AllArgsConstructor
@NoArgsConstructor
public class Payment implements Serializable {
private Long id;
private String serial;
}
JSON封装体CommonResult:
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
@Data
@AllArgsConstructor
@NoArgsConstructor
public class CommonResult<T>{
private Integer code;
private String message;
private T data;
public CommonResult(Integer code, String message){
this(code, message, null);
}
}
DAO:
接口PaymentDao:
import com.atguigu.springcloud.entities.Payment;
import org.apache.ibatis.annotations.Mapper;
import org.apache.ibatis.annotations.Param;
/**
*/
@Mapper
//@Repository不用Spring的
public interface PaymentDao
{
public int create(Payment payment);
public Payment getPaymentById(@Param("id") Long id);
}
MyBatis映射文件PaymentMapper.xml,路径:resources/mapper/PaymentMapper.xml
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="com.lun.springcloud.dao.PaymentDao">
<insert id="create" parameterType="Payment" useGeneratedKeys="true" keyProperty="id">
insert into payment(serial) values(#{serial});
</insert>
<resultMap id="BaseResultMap" type="com.lun.springcloud.entities.Payment">
<id column="id" property="id" jdbcType="BIGINT"/>
<id column="serial" property="serial" jdbcType="VARCHAR"/>
</resultMap>
<select id="getPaymentById" parameterType="Long" resultMap="BaseResultMap">
select * from payment where id=#{id};
</select>
</mapper>
Service:
接口PaymentService
import com.lun.springcloud.entities.Payment;
import org.apache.ibatis.annotations.Param;
/**
*/
public interface PaymentService
{
public int create(Payment payment);
public Payment getPaymentById(@Param("id") Long id);
}
实现类
import com.lun.springcloud.dao.PaymentDao;
import com.lun.springcloud.entities.Payment;
import com.lun.springcloud.service.PaymentService;
import org.apache.ibatis.annotations.Param;
import org.springframework.stereotype.Service;
import javax.annotation.Resource;
/**
*/
@Service
public class PaymentServiceImpl implements PaymentService
{
@Resource
private PaymentDao paymentDao;
public int create(Payment payment)
{
return paymentDao.create(payment);
}
public Payment getPaymentById(Long id)
{
return paymentDao.getPaymentById(id);
}
}
Controller:
import com.lun.springcloud.entities.CommonResult;
import com.lun.springcloud.entities.Payment;
import com.lun.springcloud.service.PaymentService;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.cloud.client.ServiceInstance;
import org.springframework.web.bind.annotation.*;
import org.springframework.cloud.client.discovery.DiscoveryClient;
import javax.annotation.Resource;
import java.util.List;
import java.util.concurrent.TimeUnit;
/**
*/
@RestController
@Slf4j
public class PaymentController{
@Resource
private PaymentService paymentService;
@PostMapping(value = "/payment/create")
public CommonResult create(Payment payment)
{
int result = paymentService.create(payment);
log.info("*****插入结果:"+result);
if(result > 0)
{
return new CommonResult(200,"插入数据库成功,serverPort: "+serverPort,result);
}else{
return new CommonResult(444,"插入数据库失败",null);
}
}
@GetMapping(value = "/payment/get/{id}")
public CommonResult<Payment> getPaymentById(@PathVariable("id") Long id)
{
Payment payment = paymentService.getPaymentById(id);
if(payment != null)
{
return new CommonResult(200,"查询成功,serverPort: "+serverPort,payment);
}else{
return new CommonResult(444,"没有对应记录,查询ID: "+id,null);
}
}
}
6.测试
7.小总结
创建微服务模块套路:
开发时使用,生产环境关闭
1.Adding devtools to your project
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-devtools</artifactId>
<scope>runtime</scope>
<optional>true</optional>
</dependency>
2.Adding plugin to your pom.xml
下段配置复制到聚合父类总工程的pom.xml
<build>
<!--
<finalName>你的工程名</finalName>(单一工程时添加)
-->
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
<configuration>
<fork>true</fork>
<addResources>true</addResources>
</configuration>
</plugin>
</plugins>
</build>
3.Enabling automatic build
File -> Settings(New Project Settings->Settings for New Projects) ->Complier
下面项勾选
4.Update the value of
键入Ctrl + Shift + Alt + / ,打开Registry,勾选:
compiler.automake.allow.when.app.running
actionSystem.assertFocusAccessFromEdt
5.重启IDEA
1.建Module
创建名为cloud-consumer-order80的maven工程。
2.改POM
<?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 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<parent>
<artifactId>LearnCloud</artifactId>
<groupId>com.lun</groupId>
<version>1.0.0-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>cloud-consumer-order80</artifactId>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<maven.compiler.source>1.7</maven.compiler.source>
<maven.compiler.target>1.7</maven.compiler.target>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-devtools</artifactId>
<scope>runtime</scope>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
</project>
3.写YML
server:
port: 80
4.主启动
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
/**
* Hello world!
*
*/
@SpringBootApplication
public class OrderMain80
{
public static void main( String[] args ){
SpringApplication.run(OrderMain80.class, args);
}
}
5.业务类
实体类:
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
import java.io.Serializable;
@Data
@AllArgsConstructor
@NoArgsConstructor
public class Payment implements Serializable {
private Long id;
private String serial;
}
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
@Data
@AllArgsConstructor
@NoArgsConstructor
public class CommonResult<T>{
private Integer code;
private String message;
private T data;
public CommonResult(Integer code, String message){
this(code, message, null);
}
}
控制层:
import com.lun.springcloud.entities.CommonResult;
import com.lun.springcloud.entities.Payment;
import lombok.extern.slf4j.Slf4j;
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 javax.annotation.Resource;
@Slf4j
@RestController
public class OrderController {
public static final String PAYMENT_URL = "http://localhost:8001";
@Resource
private RestTemplate restTemplate;
@GetMapping("/consumer/payment/create")
public CommonResult<Payment> create(Payment payment){
return restTemplate.postForObject(PAYMENT_URL+"/payment/create", payment, CommonResult.class);
}
@GetMapping("/consumer/payment/get/{id}")
public CommonResult<Payment> getPayment(@PathVariable("id") Long id){
return restTemplate.getForObject(PAYMENT_URL+"/payment/get/"+id, CommonResult.class);
}
}
配置类:
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.web.client.RestTemplate;
@Configuration
public class ApplicationContextConfig {
@Bean
public RestTemplate getRestTemplate(){
return new RestTemplate();
}
}
6.测试
运行cloud-consumer-order80与cloud-provider-payment8001两工程
RestTemplate
RestTemplate提供了多种便捷访问远程Http服务的方法,是一种简单便捷的访问restful服务模板类,是Spring提供的用于访问Rest服务的客户端模板工具集
使用:
(url, requestMap, ResponseBean.class)
这三个参数分别代表。浏览器 - http://localhost/consumer/payment/create?serial=lun3
虽然,返回成功,但是观测数据库中,并没有创建serial
为lun3
的行。
解决之道:在loud-provider-payment8001工程的PaymentController
中添加@RequestBody
注解。
public class PaymentController
{
@PostMapping(value = "/payment/create")
public CommonResult create(@RequestBody/*添加到这里*/ Payment payment){
...
}
}
通过修改idea的workspace.xml的方式来快速打开Run Dashboard窗口(这个用来显示哪些Spring Boot工程运行,停止等信息。我idea 2020.1版本在名为Services窗口就可以显示哪些Spring Boot工程运行,停止等信息出来,所以这仅作记录参考)。
开启Run DashBoard
打开工程路径下的.idea文件夹的workspace.xml
在<component name="RunDashboard">
中修改或添加以下代码:
<option name="configurationTypes">
<set>
<option value="SpringBootApplicationConfigurationType"/>
</set>
</option>
由于idea版本差异,可能需要关闭重启。
观察cloud-consumer-order80与cloud-provider-payment8001两工程有重复代码(entities包下的实体)(坏味道),重构。
1.新建 - cloud-api-commons
2.POM
<?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 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<parent>
<artifactId>LearnCloud</artifactId>
<groupId>com.lun.springcloud</groupId>
<version>1.0.0-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>cloud-api-commons</artifactId>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-devtools</artifactId>
<scope>runtime</scope>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>cn.hutool</groupId>
<artifactId>hutool-all</artifactId>
<version>5.1.0</version>
</dependency>
</dependencies>
</project>
3.entities
将cloud-consumer-order80与cloud-provider-payment8001两工程的公有entities包移至cloud-api-commons工程下。
4.maven clean、install cloud-api-commons工程,以供给cloud-consumer-order80与cloud-provider-payment8001两工程调用。
5.订单80和支付8001分别改造
<dependency>
<groupId>com.lun.springcloud</groupId>
<artifactId>cloud-api-commons</artifactId>
<version>${project.version}</version>
</dependency>
6.测试
什么是服务治理
Spring Cloud封装了Netflix 公司开发的Eureka模块来实现服务治理
在传统的RPC远程调用框架中,管理每个服务与服务之间依赖关系比较复杂,管理比较复杂,所以需要使用服务治理,管理服务于服务之间依赖关系,可以实现服务调用、负载均衡、容错等,实现服务发现与注册。
什么是服务注册与发现
Eureka采用了CS的设计架构,Eureka Sever作为服务注册功能的服务器,它是服务注册中心。而系统中的其他微服务,使用Eureka的客户端连接到 Eureka Server并维持心跳连接。这样系统的维护人员就可以通过Eureka Server来监控系统中各个微服务是否正常运行。
在服务注册与发现中,有一个注册中心。当服务器启动的时候,会把当前自己服务器的信息比如服务地址通讯地址等以别名方式注册到注册中心上。另一方(消费者服务提供者),以该别名的方式去注册中心上获取到实际的服务通讯地址,然后再实现本地RPC调用RPC远程调用框架核心设计思想:在于注册中心,因为使用注册中心管理每个服务与服务之间的一个依赖关系(服务治理概念)。在任何RPC远程框架中,都会有一个注册中心存放服务地址相关信息(接口地址)
Eureka包含两个组件:Eureka Server和Eureka Client
Eureka Server提供服务注册服务
各个微服务节点通过配置启动后,会在EurekaServer中进行注册,这样EurekaServer中的服务注册表中将会存储所有可用服务节点的信息,服务节点的信息可以在界面中直观看到。
EurekaClient通过注册中心进行访问
它是一个Java客户端,用于简化Eureka Server的交互,客户端同时也具备一个内置的、使用轮询(round-robin)负载算法的负载均衡器。在应用启动后,将会向Eureka Server发送心跳(默认周期为30秒)。如果Eureka Server在多个心跳周期内没有接收到某个节点的心跳,EurekaServer将会从服务注册表中把这个服务节点移除(默认90秒)
IDEA生成eurekaServer端服务注册中心,类似物业公司
1.创建名为cloud-eureka-server7001的Maven工程
2.修改pom.xml
<!-- eureka新旧版本 -->
<!-- 以前的老版本(2018)-->
<dependency>
<groupid>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-eureka</artifactId>
</dependency>
<!-- 现在新版本(2020.2)--><!-- 我们使用最新的 -->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-netflix-eureka-server</artifactId>
</dependency>
<?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 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<parent>
<artifactId>LearnCloud</artifactId>
<groupId>com.lun.springcloud</groupId>
<version>1.0.0-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>cloud-eureka-server7001</artifactId>
<dependencies>
<!--eureka-server-->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-netflix-eureka-server</artifactId>
</dependency>
<!-- 引入自己定义的api通用包,可以使用Payment支付Entity -->
<dependency>
<groupId>com.lun.springcloud</groupId>
<artifactId>cloud-api-commons</artifactId>
<version>${project.version}</version>
</dependency>
<!--boot web actuator-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<!--一般通用配置-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-devtools</artifactId>
<scope>runtime</scope>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
</dependency>
</dependencies>
</project>
3.添加application.yml
server:
port: 7001
eureka:
instance:
hostname: locathost #eureka服务端的实例名称
client:
#false表示不向注册中心注册自己。
register-with-eureka: false
#false表示自己端就是注册中心,我的职责就是维护服务实例,并不需要去检索服务
fetch-registry: false
service-url:
#设置与Eureka server交互的地址查询服务和注册服务都需要依赖这个地址。
defaultZone: http://${eureka.instance.hostname}:${server.port}/eureka/
4.主启动
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.netflix.eureka.server.EnableEurekaServer;
@SpringBootApplication
@EnableEurekaServer
public class EurekaMain7001 {
public static void main(String[] args) {
SpringApplication.run(EurekaMain7001.class, args);
}
}
5.测试运行EurekaMain7001
,浏览器输入http://localhost:7001/
回车,会查看到Spring Eureka服务主页。
EurekaClient端cloud-provider-payment8001将注册进EurekaServer成为服务提供者provider,类似学校对外提供授课服务。
1.修改cloud-provider-payment8001
2.改POM
添加spring-cloud-starter-netflix-eureka-client依赖
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-netflix-eureka-client</artifactId>
</dependency>
3.写YML
eureka:
client:
#表示是否将自己注册进Eurekaserver默认为true。
register-with-eureka: true
#是否从EurekaServer抓取已有的注册信息,默认为true。单节点无所谓,集群必须设置为true才能配合ribbon使用负载均衡
fetchRegistry: true
service-url:
defaultZone: http://localhost:7001/eureka
4.主启动
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.netflix.eureka.EnableEurekaClient;
@SpringBootApplication
@EnableEurekaClient//<-----添加该注解
public class PaymentMain001 {
public static void main(String[] args) {
SpringApplication.run(PaymentMain001.class, args);
}
}
5.测试
启动cloud-provider-payment8001和cloud-eureka-server7001工程。
浏览器输入 - http://localhost:7001/ 主页内的Instances currently registered with Eureka会显示cloud-provider-payment8001的配置文件application.yml设置的应用名cloud-payment-service
spring:
application:
name: cloud-payment-service
6.自我保护机制
EMERGENCY! EUREKA MAY BE INCORRECTLY CLAIMING INSTANCES ARE UP WHEN THEY’RE NOT. RENEWALS ARELESSER THAN THRESHOLD AND HENCFT ARE NOT BEING EXPIRED JUST TO BE SAFE.
紧急情况!EUREKA可能错误地声称实例在没有启动的情况下启动了。续订小于阈值,因此实例不会为了安全而过期。
EurekaClient端cloud-consumer-order80将注册进EurekaServer成为服务消费者consumer,类似来上课消费的同学
1.cloud-consumer-order80
2.POM
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-netflix-eureka-client</artifactId>
</dependency>
3.YML
server:
port: 80
spring:
application:
name: cloud-order-service
eureka:
client:
#表示是否将自己注册进Eurekaserver默认为true。
register-with-eureka: true
#是否从EurekaServer抓取已有的注册信息,默认为true。单节点无所谓,集群必须设置为true才能配合ribbon使用负载均衡
fetchRegistry: true
service-url:
defaultZone: http://localhost:7001/eureka
4.主启动
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.netflix.eureka.EnableEurekaClient;
@SpringBootApplication
@EnableEurekaClient//<--- 添加该标签
public class OrderMain80
{
public static void main( String[] args ){
SpringApplication.run(OrderMain80.class, args);
}
}
5.测试
注意,application.yml配置中层次缩进和空格,两者不能少,否则,会抛出异常Failed to bind properties under 'eureka.client.service-url' to java.util.Map <java.lang.String, java.lang.String>
。
1.Eureka集群原理说明
服务注册:将服务信息注册进注册中心
服务发现:从注册中心上获取服务信息
实质:存key服务命取value闭用地址
1先启动eureka注主册中心
2启动服务提供者payment支付服务
3支付服务启动后会把自身信息(比服务地址L以别名方式注朋进eureka
4消费者order服务在需要调用接口时,使用服务别名去注册中心获取实际的RPC远程调用地址
5消去者导调用地址后,底屋实际是利用HttpClient技术实现远程调用
6消费者实癸导服务地址后会缓存在本地jvm内存中,默认每间隔30秒更新—次服务调用地址
问题:微服务RPC远程服务调用最核心的是什么
高可用,试想你的注册中心只有一个only one,万一它出故障了,会导致整个为服务环境不可用。
解决办法:搭建Eureka注册中心集群,实现负载均衡+故障容错。
互相注册,相互守望。
创建cloud-eureka-server7002工程,过程参考16_EurekaServer服务端安装
127.0.0.1 eureka7001.com
127.0.0.1 eureka7002.com
server:
port: 7001
eureka:
instance:
hostname: eureka7001.com #eureka服务端的实例名称
client:
register-with-eureka: false #false表示不向注册中心注册自己。
fetch-registry: false #false表示自己端就是注册中心,我的职责就是维护服务实例,并不需要去检索服务
service-url:
#集群指向其它eureka
defaultZone: http://eureka7002.com:7002/eureka/
#单机就是7001自己
#defaultZone: http://eureka7001.com:7001/eureka/
server:
port: 7002
eureka:
instance:
hostname: eureka7002.com #eureka服务端的实例名称
client:
register-with-eureka: false #false表示不向注册中心注册自己。
fetch-registry: false #false表示自己端就是注册中心,我的职责就是维护服务实例,并不需要去检索服务
service-url:
#集群指向其它eureka
defaultZone: http://eureka7001.com:7001/eureka/
#单机就是7002自己
#defaultZone: http://eureka7002.com:7002/eureka/
实践的时候,遇到异常情况
在开启cloud-eureka-server7002时,开启失败,说7002端口被占用,然后在cmd中输入netstat -ano | find "7002"
,查不到任何东西。
纳闷一阵,重启电脑,问题解决。
将它们的配置文件的eureka.client.service-url.defaultZone进行修改
eureka:
client:
#表示是否将自己注册进Eurekaserver默认为true。
register-with-eureka: true
#是否从EurekaServer抓取已有的注册信息,默认为true。单节点无所谓,集群必须设置为true才能配合ribbon使用负载均衡
fetchRegistry: true
service-url:
defaultZone: http://eureka7001.com:7001/eureka, http://eureka7002.com:7002/eureka
支付服务提供者8001集群环境构建
参考cloud-provicer-payment8001
1.新建cloud-provider-payment8002
2.改POM
3.写YML - 端口8002
4.主启动
5.业务类
6.修改8001/8002的Controller,添加serverPort
@RestController
@Slf4j
public class PaymentController{
@Value("${server.port}")
private String serverPort;//添加serverPort
@PostMapping(value = "/payment/create")
public CommonResult create(@RequestBody Payment payment)
{
int result = paymentService.create(payment);
log.info("*****插入结果:" + result);
if(result > 0) {
return new CommonResult(200,"插入数据库成功,serverPort: "+serverPort/*添加到此处*/, result);
}else{
return new CommonResult(444,"插入数据库失败",null);
}
}
}
负载均衡
cloud-consumer-order80订单服务访问地址不能写死
@Slf4j
@RestController
public class OrderController {
//public static final String PAYMENT_URL = "http://localhost:8001";
public static final String PAYMENT_URL = "http://CLOUD-PAYMENT-SERVICE";
...
}
使用@LoadBalanced注解赋予RestTemplate负载均衡的能力
import org.springframework.cloud.client.loadbalancer.LoadBalanced;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.web.client.RestTemplate;
@Configuration
public class ApplicationContextConfig {
@Bean
@LoadBalanced//使用@LoadBalanced注解赋予RestTemplate负载均衡的能力
public RestTemplate getRestTemplate(){
return new RestTemplate();
}
}
ApplicationContextBean - 提前说一下Ribbon的负载均衡功能
测试
先要启动EurekaServer,7001/7002服务
再要启动服务提供者provider,8001/8002服务
浏览器输入 - http://localhost/consumer/payment/get/31
结果:负载均衡效果达到,8001/8002端口交替出现
Ribbon和Eureka整合后Consumer可以直接调用服务而不用再关心地址和端口号,且该服务还有负载功能。
相互注册,相互守望
主机名称:服务名称修改(也就是将IP地址,换成可读性高的名字)
修改cloud-provider-payment8001,cloud-provider-payment8002
修改部分 - YML - eureka.instance.instance-id
eureka:
...
instance:
instance-id: payment8001 #添加此处
eureka:
...
instance:
instance-id: payment8002 #添加此处
修改之后
eureka主页将显示payment8001,payment8002代替原来显示的IP地址。
访问信息有IP信息提示,(就是将鼠标指针移至payment8001,payment8002名下,会有IP地址提示)
修改部分 - YML - eureka.instance.prefer-ip-address
eureka:
...
instance:
instance-id: payment8001
prefer-ip-address: true #添加此处
eureka:
...
instance:
instance-id: payment8002
prefer-ip-address: true #添加此处
对于注册进eureka里面的微服务,可以通过服务发现来获得该服务的信息
@RestController
@Slf4j
public class PaymentController{
...
@Resource
private DiscoveryClient discoveryClient;
...
@GetMapping(value = "/payment/discovery")
public Object discovery()
{
List<String> services = discoveryClient.getServices();
for (String element : services) {
log.info("*****element: "+element);
}
List<ServiceInstance> instances = discoveryClient.getInstances("CLOUD-PAYMENT-SERVICE");
for (ServiceInstance instance : instances) {
log.info(instance.getServiceId()+"\t"+instance.getHost()+"\t"+instance.getPort()+"\t"+instance.getUri());
}
return this.discoveryClient;
}
}
@SpringBootApplication
@EnableEurekaClient
@EnableDiscoveryClient//添加该注解
public class PaymentMain001 {
public static void main(String[] args) {
SpringApplication.run(PaymentMain001.class, args);
}
}
先要启动EurekaSeryer
再启动8001主启动类,需要稍等一会儿
浏览器输入http://localhost:8001/payment/discovery
浏览器输出:
{"services":["cloud-payment-service"],"order":0}
后台输出:
*****element: cloud-payment-service
CLOUD-PAYMENT-SERVICE 192.168.199.218 8001 http://192.168.199.218:8001
概述
保护模式主要用于一组客户端和Eureka Server之间存在网络分区场景下的保护。一旦进入保护模式,Eureka Server将会尝试保护其服务注册表中的信息,不再删除服务注册表中的数据,也就是不会注销任何微服务。
如果在Eureka Server的首页看到以下这段提示,则说明Eureka进入了保护模式:
EMERGENCY! EUREKA MAY BE INCORRECTLY CLAIMING INSTANCES ARE UP WHEN THEY’RE NOT. RENEWALS ARE LESSER THANTHRESHOLD AND HENCE THE INSTANCES ARE NOT BEING EXPIRED JUSTTO BE SAFE
导致原因
一句话:某时刻某一个微服务不可用了,Eureka不会立刻清理,依旧会对该微服务的信息进行保存。
属于CAP里面的AP分支。
为什么会产生Eureka自我保护机制?
为了EurekaClient可以正常运行,防止与EurekaServer网络不通情况下,EurekaServer不会立刻将EurekaClient服务剔除
什么是自我保护模式?
默认情况下,如果EurekaServer在一定时间内没有接收到某个微服务实例的心跳,EurekaServer将会注销该实例(默认90秒)。但是当网络分区故障发生(延时、卡顿、拥挤)时,微服务与EurekaServer之间无法正常通信,以上行为可能变得非常危险了——因为微服务本身其实是健康的,此时本不应该注销这个微服务。Eureka通过“自我保护模式”来解决这个问题——当EurekaServer节点在短时间内丢失过多客户端时(可能发生了网络分区故障),那么这个节点就会进入自我保护模式。
自我保护机制∶默认情况下EurekaClient定时向EurekaServer端发送心跳包
如果Eureka在server端在一定时间内(默认90秒)没有收到EurekaClient发送心跳包,便会直接从服务注册列表中剔除该服务,但是在短时间( 90秒中)内丢失了大量的服务实例心跳,这时候Eurekaserver会开启自我保护机制,不会剔除该服务(该现象可能出现在如果网络不通但是EurekaClient为出现宕机,此时如果换做别的注册中心如果一定时间内没有收到心跳会将剔除该服务,这样就出现了严重失误,因为客户端还能正常发送心跳,只是网络延迟问题,而保护机制是为了解决此问题而产生的)。
在自我保护模式中,Eureka Server会保护服务注册表中的信息,不再注销任何服务实例。
它的设计哲学就是宁可保留错误的服务注册信息,也不盲目注销任何可能健康的服务实例。一句话讲解:好死不如赖活着。
综上,自我保护模式是一种应对网络异常的安全保护措施。它的架构哲学是宁可同时保留所有微服务(健康的微服务和不健康的微服务都会保留)也不盲目注销任何健康的微服务。使用自我保护模式,可以让Eureka集群更加的健壮、稳定。
出厂默认,自我保护机制是开启的
使用eureka.server.enable-self-preservation = false
可以禁用自我保护模式
eureka:
...
server:
#关闭自我保护机制,保证不可用服务被及时踢除
enable-self-preservation: false
eviction-interval-timer-in-ms: 2000
关闭效果:
spring-eureka主页会显示出一句:
THE SELF PRESERVATION MODE IS TURNED OFF. THIS MAY NOT PROTECT INSTANCE EXPIRY IN CASE OF NETWORK/OTHER PROBLEMS.
默认:
eureka.instance.lease-renewal-interval-in-seconds=30
eureka.instance.lease-expiration-duration-in-seconds=90
eureka:
...
instance:
instance-id: payment8001
prefer-ip-address: true
#心跳检测与续约时间
#开发时没置小些,保证服务关闭后注册中心能即使剔除服务
#Eureka客户端向服务端发送心跳的时间间隔,单位为秒(默认是30秒)
lease-renewal-interval-in-seconds: 1
#Eureka服务端在收到最后一次心跳后等待时间上限,单位为秒(默认是90秒),超时将剔除服务
lease-expiration-duration-in-seconds: 2
结果:先关闭8001,马上被删除了
https://github.com/Netflix/eureka/wiki
Eureka 2.0 (Discontinued)
The existing open source work on eureka 2.0 is discontinued. The code base and artifacts that were released as part of the existing repository of work on the 2.x branch is considered use at your own risk.
Eureka 1.x is a core part of Netflix’s service discovery system and is still an active project.
我们用ZooKeeper代替Eureka功能。
zookeeper是一个分布式协调工具,可以实现注册中心功能
关闭Linux服务器防火墙后,启动zookeeper服务器
用到的Linux命令行:
systemctl stop firewalld
关闭防火墙systemctl status firewalld
查看防火墙状态ipconfig
查看IP地址ping
查验结果zookeeper服务器取代Eureka服务器,zk作为服务注册中心
视频里是用虚拟机CentOS开启ZooKeeper,我打算在本机启动ZooKeeper,具体操作参考ZooKeeper学习笔记。
1.新建名为cloud-provider-payment8004的Maven工程。
2.POM
<?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 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<parent>
<artifactId>LearnCloud</artifactId>
<groupId>com.lun.springcloud</groupId>
<version>1.0.0-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>cloud-provider-payment8004</artifactId>
<dependencies>
<!-- SpringBoot整合Web组件 -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency><!-- 引入自己定义的api通用包,可以使用Payment支付Entity -->
<groupId>com.lun.springcloud</groupId>
<artifactId>cloud-api-commons</artifactId>
<version>${project.version}</version>
</dependency>
<!-- SpringBoot整合zookeeper客户端 -->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-zookeeper-discovery</artifactId>
<!--先排除自带的zookeeper3.5.3 防止与3.4.9起冲突-->
<exclusions>
<exclusion>
<groupId>org.apache.zookeeper</groupId>
<artifactId>zookeeper</artifactId>
</exclusion>
</exclusions>
</dependency>
<!--添加zookeeper3.4.9版本-->
<dependency>
<groupId>org.apache.zookeeper</groupId>
<artifactId>zookeeper</artifactId>
<version>3.4.9</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-devtools</artifactId>
<scope>runtime</scope>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
</project>
3.YML
#8004表示注册到zookeeper服务器的支付服务提供者端口号
server:
port: 8004
#服务别名----注册zookeeper到注册中心名称
spring:
application:
name: cloud-provider-payment
cloud:
zookeeper:
connect-string: 127.0.0.1:2181 # 192.168.111.144:2181 #
4.主启动类
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.client.discovery.EnableDiscoveryClient;
@SpringBootApplication
@EnableDiscoveryClient//该注解用于向使用consul或者zookeeper作为注册中心时注册服务
public class PaymentMain8004 {
public static void main(String[] args) {
SpringApplication.run(PaymentMain8004.class, args);
}
}
5.Controller
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.util.UUID;
@RestController
@Slf4j
public class PaymentController
{
@Value("${server.port}")
private String serverPort;
@RequestMapping(value = "/payment/zk")
public String paymentzk()
{
return "springcloud with zookeeper: "+serverPort+"\t"+ UUID.randomUUID().toString();
}
}
6.启动8004注册进zookeeper(要先启动zookeeper的server)
验证测试:浏览器 - http://localhost:8004/payment/zk
验证测试2 :接着用zookeeper客户端操作
[zk: localhost:2181(CONNECTED) 0] ls /
[services, zookeeper]
[zk: localhost:2181(CONNECTED) 1] ls /services/cloud-provider-payment
[a4567f50-6ad9-47a3-9fbb-7391f41a9f3d]
[zk: localhost:2181(CONNECTED) 2] get /services/cloud-provider-payment/a4567f50-6ad9-47a3-9fbb-7391f41a9f3d
{"name":"cloud-provider-payment","id":"a4567f50-6ad9-47a3-9fbb-7391f41a9f3d","address":"192.168.199.218","port":8004,"ss
lPort":null,"payload":{"@class":"org.springframework.cloud.zookeeper.discovery.ZookeeperInstance","id":"application-1","
name":"cloud-provider-payment","metadata":{}},"registrationTimeUTC":1612811116918,"serviceType":"DYNAMIC","uriSpec":{"pa
rts":[{"value":"scheme","variable":true},{"value":"://","variable":false},{"value":"address","variable":true},{"value":"
:","variable":false},{"value":"port","variable":true}]}}
[zk: localhost:2181(CONNECTED) 3]
json格式化get /services/cloud-provider-payment/a4567f50-6ad9-47a3-9fbb-7391f41a9f3d
的结果:
{
"name": "cloud-provider-payment",
"id": "a4567f50-6ad9-47a3-9fbb-7391f41a9f3d",
"address": "192.168.199.218",
"port": 8004,
"sslPort": null,
"payload": {
"@class": "org.springframework.cloud.zookeeper.discovery.ZookeeperInstance",
"id": "application-1",
"name": "cloud-provider-payment",
"metadata": { }
},
"registrationTimeUTC": 1612811116918,
"serviceType": "DYNAMIC",
"uriSpec": {
"parts": [
{
"value": "scheme",
"variable": true
},
{
"value": "://",
"variable": false
},
{
"value": "address",
"variable": true
},
{
"value": ":",
"variable": false
},
{
"value": "port",
"variable": true
}
]
}
}
ZooKeeper的服务节点是临时节点,没有Eureka那含情脉脉。
1.新建cloud-consumerzk-order80
2.POM
<?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 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<parent>
<artifactId>LearnCloud</artifactId>
<groupId>com.lun.springcloud</groupId>
<version>1.0.0-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>cloud-consumerzk-order80</artifactId>
<dependencies>
<!-- SpringBoot整合Web组件 -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<!-- SpringBoot整合zookeeper客户端 -->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-zookeeper-discovery</artifactId>
<!--先排除自带的zookeeper-->
<exclusions>
<exclusion>
<groupId>org.apache.zookeeper</groupId>
<artifactId>zookeeper</artifactId>
</exclusion>
</exclusions>
</dependency>
<!--添加zookeeper3.4.9版本-->
<dependency>
<groupId>org.apache.zookeeper</groupId>
<artifactId>zookeeper</artifactId>
<version>3.4.9</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-devtools</artifactId>
<scope>runtime</scope>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
</project>
3.YML
server:
port: 80
#服务别名----注册zookeeper到注册中心名称
spring:
application:
name: cloud-consumer-order
cloud:
zookeeper:
connect-string: 127.0.0.1:2181 # 192.168.111.144:2181 #
4.主启动
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.client.discovery.EnableDiscoveryClient;
@SpringBootApplication
@EnableDiscoveryClient
public class OrderZKMain80 {
public static void main(String[] args) {
SpringApplication.run(OrderZKMain80.class, args);
}
}
5.业务类
import org.springframework.cloud.client.loadbalancer.LoadBalanced;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.web.client.RestTemplate;
@Configuration
public class ApplicationContextConfig
{
@Bean
@LoadBalanced
public RestTemplate getRestTemplate()
{
return new RestTemplate();
}
}
import javax.annotation.Resource;
@RestController
@Slf4j
public class OrderZKController
{
public static final String INVOKE_URL = "http://cloud-provider-payment";
@Resource
private RestTemplate restTemplate;
@GetMapping(value = "/consumer/payment/zk")
public String paymentInfo()
{
String result = restTemplate.getForObject(INVOKE_URL+"/payment/zk",String.class);
return result;
}
}
6.验证测试
运行ZooKeeper服务端,cloud-consumerzk-order80,cloud-provider-payment8004。
打开ZooKeeper客户端:
[zk: localhost:2181(CONNECTED) 0] ls /
[services, zookeeper]
[zk: localhost:2181(CONNECTED) 1] ls /services
[cloud-consumer-order, cloud-provider-payment]
[zk: localhost:2181(CONNECTED) 2]
7.访问测试地址 - http://localhost/consumer/payment/zk
What is Consul?
Consul is a service mesh solution providing a full featured control plane with service discovery, configuration, and segmentation functionality. Each of these features can be used individually as needed, or they can be used together to build a full service mesh. Consul requires a data plane and supports both a proxy and native integration model. Consul ships with a simple built-in proxy so that everything works out of the box, but also supports 3rd party proxy integrations such as Envoy. link
Consul是一个服务网格解决方案,它提供了一个功能齐全的控制平面,具有服务发现、配置和分段功能。这些特性中的每一个都可以根据需要单独使用,也可以一起用于构建全服务网格。Consul需要一个数据平面,并支持代理和本机集成模型。Consul船与一个简单的内置代理,使一切工作的开箱即用,但也支持第三方代理集成,如Envoy。
consul
英 [ˈkɒnsl] 美 [ˈkɑːnsl]
n. 领事
Consul是一套开源的分布式服务发现和配置管理系统,由HashiCorp 公司用Go语言开发。
提供了微服务系统中的服务治理、配置中心、控制总线等功能。这些功能中的每一个都可以根据需要单独使用,也可以一起使用以构建全方位的服务网格,总之Consul提供了一种完整的服务网格解决方案。
它具有很多优点。包括:基于raft协议,比较简洁;支持健康检查,同时支持HTTP和DNS协议支持跨数据中心的WAN集群提供图形界面跨平台,支持Linux、Mac、Windows。
The key features of Consul are:
- Service Discovery: Clients of Consul can register a service, such as
api
ormysql
, and other clients can use Consul to discover providers of a given service. Using either DNS or HTTP, applications can easily find the services they depend upon.- Health Checking: Consul clients can provide any number of health checks, either associated with a given service (“is the webserver returning 200 OK”), or with the local node (“is memory utilization below 90%”). This information can be used by an operator to monitor cluster health, and it is used by the service discovery components to route traffic away from unhealthy hosts.
- KV Store: Applications can make use of Consul’s hierarchical key/value store for any number of purposes, including dynamic configuration, feature flagging, coordination, leader election, and more. The simple HTTP API makes it easy to use.
- Secure Service Communication: Consul can generate and distribute TLS certificates for services to establish mutual TLS connections. Intentions can be used to define which services are allowed to communicate. Service segmentation can be easily managed with intentions that can be changed in real time instead of using complex network topologies and static firewall rules.
- Multi Datacenter: Consul supports multiple datacenters out of the box. This means users of Consul do not have to worry about building additional layers of abstraction to grow to multiple regions.
能干嘛?
windows版解压缩后,得consul.exe,打开cmd
consul -v
:D:\Consul>consul -v
Consul v1.9.3
Revision f55da9306
Protocol 2 spoken by default, understands 2 to 3 (agent will automatically use protocol >2 when speaking to compatible agents)
consul agent -dev
:浏览器输入 - http://localhost:8500/ - 打开Consul控制页。
1.新建Module支付服务provider8006
2.POM
<?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 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<parent>
<artifactId>LearnCloud</artifactId>
<groupId>com.lun.springcloud</groupId>
<version>1.0.0-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>cloud-providerconsul-payment8006</artifactId>
<dependencies>
<!-- 引入自己定义的api通用包,可以使用Payment支付Entity -->
<dependency>
<groupId>com.lun.springcloud</groupId>
<artifactId>cloud-api-commons</artifactId>
<version>${project.version}</version>
</dependency>
<!--SpringCloud consul-server -->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-consul-discovery</artifactId>
</dependency>
<!-- SpringBoot整合Web组件 -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<!--日常通用jar包配置-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-devtools</artifactId>
<scope>runtime</scope>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>cn.hutool</groupId>
<artifactId>hutool-all</artifactId>
<version>RELEASE</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>cn.hutool</groupId>
<artifactId>hutool-all</artifactId>
<version>RELEASE</version>
<scope>test</scope>
</dependency>
</dependencies>
</project>
3.YML
###consul服务端口号
server:
port: 8006
spring:
application:
name: consul-provider-payment
####consul注册中心地址
cloud:
consul:
host: localhost
port: 8500
discovery:
#hostname: 127.0.0.1
service-name: ${spring.application.name}
4.主启动类
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.client.discovery.EnableDiscoveryClient;
@SpringBootApplication
@EnableDiscoveryClient
public class PaymentMain8006
{
public static void main(String[] args) {
SpringApplication.run(PaymentMain8006.class, args);
}
}
5.业务类Controller
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.util.UUID;
@RestController
@Slf4j
public class PaymentController
{
@Value("${server.port}")
private String serverPort;
@RequestMapping(value = "/payment/consul")
public String paymentConsul()
{
return "springcloud with consul: "+serverPort+"\t "+ UUID.randomUUID().toString();
}
}
6.验证测试
1.新建Module消费服务order80 - cloud-consumerconsul-order80
2.POM
<?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 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<parent>
<artifactId>LearnCloud</artifactId>
<groupId>com.lun.springcloud</groupId>
<version>1.0.0-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>cloud-consumerconsul-order80</artifactId>
<dependencies>
<!--SpringCloud consul-server -->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-consul-discovery</artifactId>
</dependency>
<!-- SpringBoot整合Web组件 -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<!--日常通用jar包配置-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-devtools</artifactId>
<scope>runtime</scope>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
</project>
3.YML
###consul服务端口号
server:
port: 80
spring:
application:
name: cloud-consumer-order
####consul注册中心地址
cloud:
consul:
host: localhost
port: 8500
discovery:
#hostname: 127.0.0.1
service-name: ${spring.application.name}
4.主启动类
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.client.discovery.EnableDiscoveryClient;
@SpringBootApplication
@EnableDiscoveryClient //该注解用于向使用consul或者zookeeper作为注册中心时注册服务
public class OrderConsulMain80
{
public static void main(String[] args) {
SpringApplication.run(OrderConsulMain80.class, args);
}
}
5.配置Bean
import org.springframework.cloud.client.loadbalancer.LoadBalanced;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.web.client.RestTemplate;
/**
*/
@Configuration
public class ApplicationContextConfig
{
@Bean
@LoadBalanced
public RestTemplate getRestTemplate()
{
return new RestTemplate();
}
}
6.Controller
import lombok.extern.slf4j.Slf4j;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;
import org.springframework.web.client.RestTemplate;
import javax.annotation.Resource;
@RestController
@Slf4j
public class OrderConsulController
{
public static final String INVOKE_URL = "http://consul-provider-payment";
@Resource
private RestTemplate restTemplate;
@GetMapping(value = "/consumer/payment/consul")
public String paymentInfo()
{
String result = restTemplate.getForObject(INVOKE_URL+"/payment/consul",String.class);
return result;
}
}
7.验证测试
运行consul,cloud-providerconsul-payment8006,cloud-consumerconsul-order80
http://localhost:8500/ 主页会显示出consul,cloud-providerconsul-payment8006,cloud-consumerconsul-order80三服务。
8.访问测试地址 - http://localhost/consumer/payment/consul
组件名 | 语言CAP | 服务健康检查 | 对外暴露接口 | Spring Cloud集成 |
---|---|---|---|---|
Eureka | Java | AP | 可配支持 | HTTP |
Consul | Go | CP | 支持 | HTTP/DNS |
Zookeeper | Java | CP | 支持客户端 | 已集成 |
CAP:
C:Consistency (强一致性)
A:Availability (可用性)
P:Partition tolerance (分区容错性)
最多只能同时较好的满足两个。
CAP理论的核心是:一个分布式系统不可能同时很好的满足一致性,可用性和分区容错性这三个需求。
因此,根据CAP原理将NoSQL数据库分成了满足CA原则、满足CP原则和满足AP原则三大类:
AP架构(Eureka)
当网络分区出现后,为了保证可用性,系统B可以返回旧值,保证系统的可用性。
结论:违背了一致性C的要求,只满足可用性和分区容错,即AP
CP架构(ZooKeeper/Consul)
当网络分区出现后,为了保证一致性,就必须拒接请求,否则无法保证一致性。
结论:违背了可用性A的要求,只满足一致性和分区容错,即CP。
CP 与 AP 对立同一的矛盾关系。
Spring Cloud Ribbon是基于Netflix Ribbon实现的一套客户端负载均衡的工具。
简单的说,Ribbon是Netflix发布的开源项目,主要功能是提供客户端的软件负载均衡算法和服务调用。Ribbon客户端组件提供一系列完善的配置项如连接超时,重试等。
简单的说,就是在配置文件中列出Load Balancer(简称LB)后面所有的机器,Ribbon会自动的帮助你基于某种规则(如简单轮询,随机连接等)去连接这些机器。我们很容易使用Ribbon实现自定义的负载均衡算法。
ribbon
英 [ˈrɪbən] 美 [ˈrɪbən]
n. (用于捆绑或装饰的)带子;丝带;带状物;狭长的东西;绶带;勋带
Ribbon目前也进入维护模式。
Ribbon未来可能被Spring Cloud LoadBalacer替代。
LB负载均衡(Load Balance)是什么
简单的说就是将用户的请求平摊的分配到多个服务上,从而达到系统的HA (高可用)。
常见的负载均衡有软件Nginx,LVS,硬件F5等。
Ribbon本地负载均衡客户端VS Nginx服务端负载均衡区别
Nginx是服务器负载均衡,客户端所有请求都会交给nginx,然后由nginx实现转发请求。即负载均衡是由服务端实现的。
Ribbon本地负载均衡,在调用微服务接口时候,会在注册中心上获取注册信息服务列表之后缓存到JVM本地,从而在本地实现RPC远程服务调用技术。
集中式LB
即在服务的消费方和提供方之间使用独立的LB设施(可以是硬件,如F5, 也可以是软件,如nginx),由该设施负责把访问请求通过某种策略转发至服务的提供方;
进程内LB
将LB逻辑集成到消费方,消费方从服务注册中心获知有哪些地址可用,然后自己再从这些地址中选择出一个合适的服务器。
Ribbon就属于进程内LB,它只是一个类库,集成于消费方进程,消费方通过它来获取到服务提供方的地址。
一句话
负载均衡 + RestTemplate调用
架构说明
总结:Ribbon其实就是一个软负载均衡的客户端组件,它可以和其他所需请求的客户端结合使用,和Eureka结合只是其中的一个实例。
Ribbon在工作时分成两步:
第一步先选择EurekaServer ,它优先选择在同一个区域内负载较少的server。
第二步再根据用户指定的策略,在从server取到的服务注册列表中选择一个地址。
其中Ribbon提供了多种策略:比如轮询、随机和根据响应时间加权。
POM
先前工程项目没有引入spring-cloud-starter-ribbon也可以使用ribbon。
<dependency>
<groupld>org.springframework.cloud</groupld>
<artifactld>spring-cloud-starter-netflix-ribbon</artifactid>
</dependency>
这是因为spring-cloud-starter-netflix-eureka-client自带了spring-cloud-starter-ribbon引用。
二说RestTemplate的使用
getForObject() / getForEntity() - GET请求方法
getForObject():返回对象为响应体中数据转化成的对象,基本上可以理解为Json。
getForEntity():返回对象为ResponseEntity对象,包含了响应中的一些重要信息,比如响应头、响应状态码、响应体等。
@GetMapping("/consumer/payment/getForEntity/{id}")
public CommonResult<Payment> getPayment2(@PathVariable("id") Long id)
{
ResponseEntity<CommonResult> entity = restTemplate.getForEntity(PAYMENT_URL+"/payment/get/"+id,CommonResult.class);
if(entity.getStatusCode().is2xxSuccessful()){
return entity.getBody();//getForObject()
}else{
return new CommonResult<>(444,"操作失败");
}
}
postForObject() / postForEntity() - POST请求方法
lRule:根据特定算法中从服务列表中选取一个要访问的服务
1.修改cloud-consumer-order80
2.注意配置细节
官方文档明确给出了警告:
这个自定义配置类不能放在@ComponentScan所扫描的当前包下以及子包下,
否则我们自定义的这个配置类就会被所有的Ribbon客户端所共享,达不到特殊化定制的目的了。
(也就是说不要将Ribbon配置类与主启动类同包)
3.新建package - com.lun.myrule
4.在com.lun.myrule下新建MySelfRule规则类
import com.netflix.loadbalancer.IRule;
import com.netflix.loadbalancer.RandomRule;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
@Configuration
public class MySelfRule {
@Bean
public IRule myRule(){
return new RandomRule();
}
}
5.主启动类添加@RibbonClient
import com.lun.myrule.MySelfRule;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.netflix.eureka.EnableEurekaClient;
import org.springframework.cloud.netflix.ribbon.RibbonClient;
@SpringBootApplication
@EnableEurekaClient
//添加到此处
@RibbonClient(name = "CLOUD-PAYMENT-SERVICE", configuration = MySelfRule.class)
public class OrderMain80
{
public static void main( String[] args ){
SpringApplication.run(OrderMain80.class, args);
}
}
6.测试
开启cloud-eureka-server7001,cloud-consumer-order80,cloud-provider-payment8001,cloud-provider-payment8002
浏览器-输入http://localhost/consumer/payment/get/1
返回结果中的serverPort在8001与8002两种间反复横跳。
默认负载轮训算法: rest接口第几次请求数 % 服务器集群总数量 = 实际调用服务器位置下标,每次服务重启动后rest接口计数从1开始。
List<Servicelnstance> instances = discoveryClient.getInstances("CLOUD-PAYMENT-SERVICE");
如:
8001+ 8002组合成为集群,它们共计2台机器,集群总数为2,按照轮询算法原理:
public interface IRule{
/*
* choose one alive server from lb.allServers or
* lb.upServers according to key
*
* @return choosen Server object. NULL is returned if none
* server is available
*/
//重点关注这方法
public Server choose(Object key);
public void setLoadBalancer(ILoadBalancer lb);
public ILoadBalancer getLoadBalancer();
}
package com.netflix.loadbalancer;
import com.netflix.client.config.IClientConfig;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.List;
import java.util.concurrent.atomic.AtomicInteger;
/**
* The most well known and basic load balancing strategy, i.e. Round Robin Rule.
*
* @author stonse
* @author Nikos Michalakis <nikos@netflix.com>
*
*/
public class RoundRobinRule extends AbstractLoadBalancerRule {
private AtomicInteger nextServerCyclicCounter;
private static final boolean AVAILABLE_ONLY_SERVERS = true;
private static final boolean ALL_SERVERS = false;
private static Logger log = LoggerFactory.getLogger(RoundRobinRule.class);
public RoundRobinRule() {
nextServerCyclicCounter = new AtomicInteger(0);
}
public RoundRobinRule(ILoadBalancer lb) {
this();
setLoadBalancer(lb);
}
//重点关注这方法。
public Server choose(ILoadBalancer lb, Object key) {
if (lb == null) {
log.warn("no load balancer");
return null;
}
Server server = null;
int count = 0;
while (server == null && count++ < 10) {
List<Server> reachableServers = lb.getReachableServers();
List<Server> allServers = lb.getAllServers();
int upCount = reachableServers.size();
int serverCount = allServers.size();
if ((upCount == 0) || (serverCount == 0)) {
log.warn("No up servers available from load balancer: " + lb);
return null;
}
int nextServerIndex = incrementAndGetModulo(serverCount);
server = allServers.get(nextServerIndex);
if (server == null) {
/* Transient. */
Thread.yield();
continue;
}
if (server.isAlive() && (server.isReadyToServe())) {
return (server);
}
// Next.
server = null;
}
if (count >= 10) {
log.warn("No available alive servers after 10 tries from load balancer: "
+ lb);
}
return server;
}
/**
* Inspired by the implementation of {@link AtomicInteger#incrementAndGet()}.
*
* @param modulo The modulo to bound the value of the counter.
* @return The next value.
*/
private int incrementAndGetModulo(int modulo) {
for (;;) {
int current = nextServerCyclicCounter.get();
int next = (current + 1) % modulo;//求余法
if (nextServerCyclicCounter.compareAndSet(current, next))
return next;
}
}
@Override
public Server choose(Object key) {
return choose(getLoadBalancer(), key);
}
@Override
public void initWithNiwsConfig(IClientConfig clientConfig) {
}
}
自己试着写一个类似RoundRobinRule的本地负载均衡器。
7001/7002集群启动
8001/8002微服务改造- controller
@RestController
@Slf4j
public class PaymentController{
...
@GetMapping(value = "/payment/lb")
public String getPaymentLB() {
return serverPort;//返回服务接口
}
...
}
1.ApplicationContextConfig去掉注解@LoadBalanced,OrderMain80去掉注解@RibbonClient
import org.springframework.cloud.client.loadbalancer.LoadBalanced;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.web.client.RestTemplate;
@Configuration
public class ApplicationContextConfig {
@Bean
//@LoadBalanced
public RestTemplate getRestTemplate(){
return new RestTemplate();
}
}
2.创建LoadBalancer接口
import org.springframework.cloud.client.ServiceInstance;
import java.util.List;
/**
*/
public interface LoadBalancer
{
ServiceInstance instances(List<ServiceInstance> serviceInstances);
}
3.MyLB
实现LoadBalancer接口
import org.springframework.cloud.client.ServiceInstance;
import org.springframework.stereotype.Component;
import java.util.List;
import java.util.concurrent.atomic.AtomicInteger;
/**
*/
@Component//需要跟主启动类同包,或者在其子孙包下。
public class MyLB implements LoadBalancer
{
private AtomicInteger atomicInteger = new AtomicInteger(0);
public final int getAndIncrement()
{
int current;
int next;
do {
current = this.atomicInteger.get();
next = current >= 2147483647 ? 0 : current + 1;
}while(!this.atomicInteger.compareAndSet(current,next));
System.out.println("*****第几次访问,次数next: "+next);
return next;
}
//负载均衡算法:rest接口第几次请求数 % 服务器集群总数量 = 实际调用服务器位置下标 ,每次服务重启动后rest接口计数从1开始。
@Override
public ServiceInstance instances(List<ServiceInstance> serviceInstances)
{
int index = getAndIncrement() % serviceInstances.size();
return serviceInstances.get(index);
}
}
4.OrderController
import org.springframework.cloud.client.ServiceInstance;
import org.springframework.cloud.client.discovery.DiscoveryClient;
import com.lun.springcloud.lb.LoadBalancer;
@Slf4j
@RestController
public class OrderController {
//public static final String PAYMENT_URL = "http://localhost:8001";
public static final String PAYMENT_URL = "http://CLOUD-PAYMENT-SERVICE";
...
@Resource
private LoadBalancer loadBalancer;
@Resource
private DiscoveryClient discoveryClient;
...
@GetMapping(value = "/consumer/payment/lb")
public String getPaymentLB()
{
List<ServiceInstance> instances = discoveryClient.getInstances("CLOUD-PAYMENT-SERVICE");
if(instances == null || instances.size() <= 0){
return null;
}
ServiceInstance serviceInstance = loadBalancer.instances(instances);
URI uri = serviceInstance.getUri();
return restTemplate.getForObject(uri+"/payment/lb",String.class);
}
}
5.测试 不停地刷新http://localhost/consumer/payment/lb,可以看到8001/8002交替出现。
Feign is a declarative web service client. It makes writing web service clients easier. To use Feign create an interface and annotate it. It has pluggable annotation support including Feign annotations and JAX-RS annotations. Feign also supports pluggable encoders and decoders. Spring Cloud adds support for Spring MVC annotations and for using the same
HttpMessageConverters
used by default in Spring Web. Spring Cloud integrates Ribbon and Eureka, as well as Spring Cloud LoadBalancer to provide a load-balanced http client when using Feign. linkFeign是一个声明式WebService客户端。使用Feign能让编写Web Service客户端更加简单。它的使用方法是定义一个服务接口然后在上面添加注解。Feign也支持可拔插式的编码器和解码器。Spring Cloud对Feign进行了封装,使其支持了Spring MVC标准注解和HttpMessageConverters。Feign可以与Eureka和Ribbon组合使用以支持负载均衡。
Feign能干什么
Feign旨在使编写Java Http客户端变得更容易。
前面在使用Ribbon+RestTemplate时,利用RestTemplate对http请求的封装处理,形成了一套模版化的调用方法。但是在实际开发中,由于对服务依赖的调用可能不止一处,往往一个接口会被多处调用,所以通常都会针对每个微服务自行封装一些客户端类来包装这些依赖服务的调用。所以,Feign在此基础上做了进一步封装,由他来帮助我们定义和实现依赖服务接口的定义。在Feign的实现下,我们只需创建一个接口并使用注解的方式来配置它(以前是Dao接口上面标注Mapper注解,现在是一个微服务接口上面标注一个Feign注解即可),即可完成对服务提供方的接口绑定,简化了使用Spring cloud Ribbon时,自动封装服务调用客户端的开发量。
Feign集成了Ribbon
利用Ribbon维护了Payment的服务列表信息,并且通过轮询实现了客户端的负载均衡。而与Ribbon不同的是,通过feign只需要定义服务绑定接口且以声明式的方法,优雅而简单的实现了服务调用。
Feign和OpenFeign两者区别
Feign是Spring Cloud组件中的一个轻量级RESTful的HTTP服务客户端Feign内置了Ribbon,用来做客户端负载均衡,去调用服务注册中心的服务。Feign的使用方式是:使用Feign的注解定义接口,调用这个接口,就可以调用服务注册中心的服务。
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-feign</artifactId>
</dependency>
OpenFeign是Spring Cloud在Feign的基础上支持了SpringMVC的注解,如@RequesMapping等等。OpenFeign的@Feignclient可以解析SpringMVc的@RequestMapping注解下的接口,并通过动态代理的方式产生实现类,实现类中做负载均衡并调用其他服务。
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-openfeign</artifactId>
</dependency>
feign
英 [feɪn] 美 [feɪn]
v. 假装,装作,佯装(有某种感觉或生病、疲倦等)
接口+注解:微服务调用接口 + @FeignClient
1.新建cloud-consumer-feign-order80
2.POM
<?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 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<parent>
<artifactId>LearnCloud</artifactId>
<groupId>com.lun.springcloud</groupId>
<version>1.0.0-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>cloud-consumer-feign-order80</artifactId>
<dependencies>
<!--openfeign-->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-openfeign</artifactId>
</dependency>
<!--eureka client-->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-netflix-eureka-client</artifactId>
</dependency>
<!-- 引入自己定义的api通用包,可以使用Payment支付Entity -->
<dependency>
<groupId>com.lun.springcloud</groupId>
<artifactId>cloud-api-commons</artifactId>
<version>${project.version}</version>
</dependency>
<!--web-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<!--一般基础通用配置-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-devtools</artifactId>
<scope>runtime</scope>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
</project>
3.YML
server:
port: 80
eureka:
client:
register-with-eureka: false
service-url:
defaultZone: http://eureka7001.com:7001/eureka/,http://eureka7002.com:7002/eureka/
4.主启动
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.openfeign.EnableFeignClients;
@SpringBootApplication
@EnableFeignClients
public class OrderFeignMain80 {
public static void main(String[] args) {
SpringApplication.run(OrderFeignMain80.class, args);
}
}
5.业务类
业务逻辑接口+@FeignClient配置调用provider服务
新建PaymentFeignService接口并新增注解@FeignClient
import com.lun.springcloud.entities.CommonResult;
import com.lun.springcloud.entities.Payment;
import org.springframework.cloud.openfeign.FeignClient;
import org.springframework.stereotype.Component;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PathVariable;
@Component
@FeignClient(value = "CLOUD-PAYMENT-SERVICE")
public interface PaymentFeignService
{
@GetMapping(value = "/payment/get/{id}")
public CommonResult<Payment> getPaymentById(@PathVariable("id") Long id);
}
控制层Controller
import com.lun.springcloud.entities.CommonResult;
import com.lun.springcloud.entities.Payment;
import com.lun.springcloud.service.PaymentFeignService;
import lombok.extern.slf4j.Slf4j;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RestController;
import javax.annotation.Resource;
@RestController
@Slf4j
public class OrderFeignController
{
@Resource
private PaymentFeignService paymentFeignService;
@GetMapping(value = "/consumer/payment/get/{id}")
public CommonResult<Payment> getPaymentById(@PathVariable("id") Long id)
{
return paymentFeignService.getPaymentById(id);
}
}
6.测试
先启动2个eureka集群7001/7002
再启动2个微服务8001/8002
启动OpenFeign启动
http://localhost/consumer/payment/get/1
Feign自带负载均衡配置项
超时设置,故意设置超时演示出错情况
1.服务提供方8001/8002故意写暂停程序
@RestController
@Slf4j
public class PaymentController {
...
@Value("${server.port}")
private String serverPort;
...
@GetMapping(value = "/payment/feign/timeout")
public String paymentFeignTimeout()
{
// 业务逻辑处理正确,但是需要耗费3秒钟
try {
TimeUnit.SECONDS.sleep(3);
} catch (InterruptedException e) {
e.printStackTrace();
}
return serverPort;
}
...
}
2.服务消费方80添加超时方法PaymentFeignService
@Component
@FeignClient(value = "CLOUD-PAYMENT-SERVICE")
public interface PaymentFeignService{
...
@GetMapping(value = "/payment/feign/timeout")
public String paymentFeignTimeout();
}
3.服务消费方80添加超时方法OrderFeignController
@RestController
@Slf4j
public class OrderFeignController
{
@Resource
private PaymentFeignService paymentFeignService;
...
@GetMapping(value = "/consumer/payment/feign/timeout")
public String paymentFeignTimeout()
{
// OpenFeign客户端一般默认等待1秒钟
return paymentFeignService.paymentFeignTimeout();
}
}
4.测试:
多次刷新http://localhost/consumer/payment/feign/timeout
将会跳出错误Spring Boot默认错误页面,主要异常:feign.RetryableException:Read timed out executing GET http://CLOUD-PAYMENT-SERVCE/payment/feign/timeout
。
OpenFeign默认等待1秒钟,超过后报错
YML文件里需要开启OpenFeign客户端超时控制
#设置feign客户端超时时间(OpenFeign默认支持ribbon)(单位:毫秒)
ribbon:
#指的是建立连接所用的时间,适用于网络状况正常的情况下,两端连接所用的时间
ReadTimeout: 5000
#指的是建立连接后从服务器读取到可用资源所用的时间
ConnectTimeout: 5000
日志打印功能
Feign提供了日志打印功能,我们可以通过配置来调整日恙级别,从而了解Feign 中 Http请求的细节。
说白了就是对Feign接口的调用情况进行监控和输出
日志级别
配置日志bean
import feign.Logger;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
@Configuration
public class FeignConfig
{
@Bean
Logger.Level feignLoggerLevel()
{
return Logger.Level.FULL;
}
}
YML文件里需要开启日志的Feign客户端
logging:
level:
# feign日志以什么级别监控哪个接口
com.lun.springcloud.service.PaymentFeignService: debug
后台日志查看
得到更多日志信息。
概述
分布式系统面临的问题
复杂分布式体系结构中的应用程序有数十个依赖关系,每个依赖关系在某些时候将不可避免地失败。
服务雪崩
多个微服务之间调用的时候,假设微服务A调用微服务B和微服务C,微服务B和微服务C又调用其它的微服务,这就是所谓的“扇出”。如果扇出的链路上某个微服务的调用响应时间过长或者不可用,对微服务A的调用就会占用越来越多的系统资源,进而引起系统崩溃,所谓的“雪崩效应”.
对于高流量的应用来说,单一的后避依赖可能会导致所有服务器上的所有资源都在几秒钟内饱和。比失败更糟糕的是,这些应用程序还可能导致服务之间的延迟增加,备份队列,线程和其他系统资源紧张,导致整个系统发生更多的级联故障。这些都表示需要对故障和延迟进行隔离和管理,以便单个依赖关系的失败,不能取消整个应用程序或系统。
所以,通常当你发现一个模块下的某个实例失败后,这时候这个模块依然还会接收流量,然后这个有问题的模块还调用了其他的模块,这样就会发生级联故障,或者叫雪崩。
Hystrix是什么
Hystrix是一个用于处理分布式系统的延迟和容错的开源库,在分布式系统里,许多依赖不可避免的会调用失败,比如超时、异常等,Hystrix能够保证在一个依赖出问题的情况下,不会导致整体服务失败,避免级联故障,以提高分布式系统的弹性。
"断路器”本身是一种开关装置,当某个服务单元发生故障之后,通过断路器的故障监控(类似熔断保险丝),向调用方返回一个符合预期的、可处理的备选响应(FallBack),而不是长时间的等待或者抛出调用方无法处理的异常,这样就保证了服务调用方的线程不会被长时间、不必要地占用,从而避免了故障在分布式系统中的蔓延,乃至雪崩。
hystrix
n. 豪猪属;猬草属;豪猪;豪猪亚属
能干嘛
官网资料
Hystrix官宣,停更进维
服务降级
服务器忙,请稍后再试,不让客户端等待并立刻返回一个友好提示,fallback
哪些情况会出发降级
服务熔断
类比保险丝达到最大服务访问后,直接拒绝访问,拉闸限电,然后调用服务降级的方法并返回友好提示。
服务的降级 -> 进而熔断 -> 恢复调用链路
服务限流
秒杀高并发等操作,严禁一窝蜂的过来拥挤,大家排队,一秒钟N个,有序进行。
将cloud-eureka-server7001改配置成单机版
1.新建cloud-provider-hygtrix-payment8001
2.POM
<?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 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<parent>
<artifactId>cloud2020</artifactId>
<groupId>com.atguigu.springcloud</groupId>
<version>1.0-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>cloud-provider-hystrix-payment8001</artifactId>
<dependencies>
<!--hystrix-->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-netflix-hystrix</artifactId>
</dependency>
<!--eureka client-->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-netflix-eureka-client</artifactId>
</dependency>
<!--web-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<dependency><!-- 引入自己定义的api通用包,可以使用Payment支付Entity -->
<groupId>com.atguigu.springcloud</groupId>
<artifactId>cloud-api-commons</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-devtools</artifactId>
<scope>runtime</scope>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
</project>
3.YML
server:
port: 8001
spring:
application:
name: cloud-provider-hystrix-payment
eureka:
client:
register-with-eureka: true
fetch-registry: true
service-url:
#defaultZone: http://eureka7001.com:7001/eureka,http://eureka7002.com:7002/eureka
defaultZone: http://eureka7001.com:7001/eureka
4.主启动
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.netflix.eureka.EnableEurekaClient;
/**
*/
@SpringBootApplication
@EnableEurekaClient
public class PaymentHystrixMain8001
{
public static void main(String[] args) {
SpringApplication.run(PaymentHystrixMain8001.class, args);
}
}
5.业务类
service
import org.springframework.stereotype.Service;
import java.util.concurrent.TimeUnit;
/**
*/
@Service
public class PaymentService {
/**
*/
public String paymentInfo_OK(Integer id)
{
return "线程池: "+Thread.currentThread().getName()+" paymentInfo_OK,id: "+id+"\t"+"O(∩_∩)O哈哈~";
}
public String paymentInfo_TimeOut(Integer id)
{
try { TimeUnit.MILLISECONDS.sleep(3000); } catch (InterruptedException e) { e.printStackTrace(); }
return "线程池: "+Thread.currentThread().getName()+" id: "+id+"\t"+"O(∩_∩)O哈哈~"+" 耗时(秒): 3";
}
}
controller
import com.lun.springcloud.service.PaymentService;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RestController;
import javax.annotation.Resource;
/**
*/
@RestController
@Slf4j
public class PaymentController
{
@Resource
private PaymentService paymentService;
@Value("${server.port}")
private String serverPort;
@GetMapping("/payment/hystrix/ok/{id}")
public String paymentInfo_OK(@PathVariable("id") Integer id)
{
String result = paymentService.paymentInfo_OK(id);
log.info("*****result: "+result);
return result;
}
@GetMapping("/payment/hystrix/timeout/{id}")
public String paymentInfo_TimeOut(@PathVariable("id") Integer id)
{
String result = paymentService.paymentInfo_TimeOut(id);
log.info("*****result: "+result);
return result;
}
}
6.正常测试
启动eureka7001
启动cloud-provider-hystrix-payment8001
访问
success的方法 - http://localhost:8001/payment/hystrix/ok/1
每次调用耗费5秒钟 - http://localhost:8001/payment/hystrix/timeout/1
上述module均OK
以上述为根基平台,从正确 -> 错误 -> 降级熔断 -> 恢复。
上述在非高并发情形下,还能勉强满足
Jmeter压测测试
The Apache JMeter™ application is open source software, a 100% pure Java application designed to load test functional behavior and measure performance. It was originally designed for testing Web Applications but has since expanded to other test functions.
开启Jmeter,来20000个并发压死8001,20000个请求都去访问paymentInfo_TimeOut服务
1.测试计划中右键添加-》线程-》线程组(线程组202102,线程数:200,线程数:100,其他参数默认)
2.刚刚新建线程组202102,右键它-》添加-》取样器-》Http请求-》基本 输入http://localhost:8001/payment/hystrix/ok/1
3.点击绿色三角形图标启动。
看演示结果:拖慢,原因:tomcat的默认的工作线程数被打满了,没有多余的线程来分解压力和处理。
Jmeter压测结论
上面还是服务提供者8001自己测试,假如此时外部的消费者80也来访问,那消费者只能干等,最终导致消费端80不满意,服务端8001直接被拖慢。
看热闹不嫌弃事大,80新建加入
1.新建 - cloud-consumer-feign-hystrix-order80
2.POM
<?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 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<parent>
<artifactId>LearnCloud</artifactId>
<groupId>com.lun.springcloud</groupId>
<version>1.0.0-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>cloud-consumer-feign-hystrix-order80</artifactId>
<dependencies>
<!--openfeign-->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-openfeign</artifactId>
</dependency>
<!--hystrix-->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-netflix-hystrix</artifactId>
</dependency>
<!--eureka client-->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-netflix-eureka-client</artifactId>
</dependency>
<!-- 引入自己定义的api通用包,可以使用Payment支付Entity -->
<dependency>
<groupId>com.lun.springcloud</groupId>
<artifactId>cloud-api-commons</artifactId>
<version>${project.version}</version>
</dependency>
<!--web-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<!--一般基础通用配置-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-devtools</artifactId>
<scope>runtime</scope>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
</project>
3.YML
server:
port: 80
eureka:
client:
register-with-eureka: false
service-url:
defaultZone: http://eureka7001.com:7001/eureka/
4.主启动
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.netflix.hystrix.EnableHystrix;
import org.springframework.cloud.openfeign.EnableFeignClients;
/**
*/
@SpringBootApplication
@EnableFeignClients
//@EnableHystrix
public class OrderHystrixMain80
{
public static void main(String[] args)
{
SpringApplication.run(OrderHystrixMain80.class,args);
}
}
5.业务类
import org.springframework.cloud.openfeign.FeignClient;
import org.springframework.stereotype.Component;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PathVariable;
/**
*/
@Component
@FeignClient(value = "CLOUD-PROVIDER-HYSTRIX-PAYMENT" /*,fallback = PaymentFallbackService.class*/)
public interface PaymentHystrixService
{
@GetMapping("/payment/hystrix/ok/{id}")
public String paymentInfo_OK(@PathVariable("id") Integer id);
@GetMapping("/payment/hystrix/timeout/{id}")
public String paymentInfo_TimeOut(@PathVariable("id") Integer id);
}
import com.lun.springcloud.service.PaymentHystrixService;
import lombok.extern.slf4j.Slf4j;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RestController;
import javax.annotation.Resource;
@RestController
@Slf4j
public class OrderHystirxController {
@Resource
private PaymentHystrixService paymentHystrixService;
@GetMapping("/consumer/payment/hystrix/ok/{id}")
public String paymentInfo_OK(@PathVariable("id") Integer id)
{
String result = paymentHystrixService.paymentInfo_OK(id);
return result;
}
@GetMapping("/consumer/payment/hystrix/timeout/{id}")
public String paymentInfo_TimeOut(@PathVariable("id") Integer id) {
String result = paymentHystrixService.paymentInfo_TimeOut(id);
return result;
}
}
6.正常测试
http://localhost/consumer/payment/hystrix/ok/1
7.高并发测试
2W个线程压8001
消费端80微服务再去访问正常的Ok微服务8001地址
http://localhost/consumer/payment/hystrix/ok/32
消费者80被拖慢
原因:8001同一层次的其它接口服务被困死,因为tomcat线程池里面的工作线程已经被挤占完毕。
正因为有上述故障或不佳表现才有我们的降级/容错/限流等技术诞生。
超时导致服务器变慢(转圈) - 超时不再等待
出错(宕机或程序运行出错) - 出错要有兜底
解决:
降级配置 - @HystrixCommand
8001先从自身找问题
设置自身调用超时时间的峰值,峰值内可以正常运行,超过了需要有兜底的方法处埋,作服务降级fallback。
8001fallback
业务类启用 - @HystrixCommand报异常后如何处理
—旦调用服务方法失败并抛出了错误信息后,会自动调用@HystrixCommand标注好的fallbackMethod调用类中的指定方法
@Service
public class PaymentService{
@HystrixCommand(fallbackMethod = "paymentInfo_TimeOutHandler"/*指定善后方法名*/,commandProperties = {
@HystrixProperty(name="execution.isolation.thread.timeoutInMilliseconds",value="3000")
})
public String paymentInfo_TimeOut(Integer id)
{
//int age = 10/0;
try { TimeUnit.MILLISECONDS.sleep(5000); } catch (InterruptedException e) { e.printStackTrace(); }
return "线程池: "+Thread.currentThread().getName()+" id: "+id+"\t"+"O(∩_∩)O哈哈~"+" 耗时(秒): ";
}
//用来善后的方法
public String paymentInfo_TimeOutHandler(Integer id)
{
return "线程池: "+Thread.currentThread().getName()+" 8001系统繁忙或者运行报错,请稍后再试,id: "+id+"\t"+"o(╥﹏╥)o";
}
}
上面故意制造两种异常:
当前服务不可用了,做服务降级,兜底的方案都是paymentInfo_TimeOutHandler
主启动类激活
添加新注解@EnableCircuitBreaker
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.client.circuitbreaker.EnableCircuitBreaker;
import org.springframework.cloud.netflix.eureka.EnableEurekaClient;
@SpringBootApplication
@EnableEurekaClient
@EnableCircuitBreaker//添加到此处
public class PaymentHystrixMain8001{
public static void main(String[] args) {
SpringApplication.run(PaymentHystrixMain8001.class, args);
}
}
80订单微服务,也可以更好的保护自己,自己也依样画葫芦进行客户端降级保护
题外话,切记 - 我们自己配置过的热部署方式对java代码的改动明显
但对@HystrixCommand内属性的修改建议重启微服务
YML
server:
port: 80
eureka:
client:
register-with-eureka: false
service-url:
defaultZone: http://eureka7001.com:7001/eureka/
#开启
feign:
hystrix:
enabled: true
主启动
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.netflix.hystrix.EnableHystrix;
import org.springframework.cloud.openfeign.EnableFeignClients;
@SpringBootApplication
@EnableFeignClients
@EnableHystrix//添加到此处
public class OrderHystrixMain80{
public static void main(String[] args){
SpringApplication.run(OrderHystrixMain80.class,args);
}
}
业务类
import com.lun.springcloud.service.PaymentHystrixService;
import com.netflix.hystrix.contrib.javanica.annotation.HystrixCommand;
import com.netflix.hystrix.contrib.javanica.annotation.HystrixProperty;
import lombok.extern.slf4j.Slf4j;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RestController;
import javax.annotation.Resource;
@RestController
@Slf4j
public class OrderHystirxController {
@Resource
private PaymentHystrixService paymentHystrixService;
@GetMapping("/consumer/payment/hystrix/timeout/{id}")
@HystrixCommand(fallbackMethod = "paymentTimeOutFallbackMethod",commandProperties = {
@HystrixProperty(name="execution.isolation.thread.timeoutInMilliseconds",value="1500")
})
public String paymentInfo_TimeOut(@PathVariable("id") Integer id) {
//int age = 10/0;
String result = paymentHystrixService.paymentInfo_TimeOut(id);
return result;
}
//善后方法
public String paymentTimeOutFallbackMethod(@PathVariable("id") Integer id){
return "我是消费者80,对方支付系统繁忙请10秒钟后再试或者自己运行出错请检查自己,o(╥﹏╥)o";
}
}
Copyright © 2003-2013 www.wpsshop.cn 版权所有,并保留所有权利。