博客
关于我
spring cloud入门,eureka服务注册和发现,ribbon负载均衡,hystrix熔断
阅读量:349 次
发布时间:2019-03-04

本文共 2975 字,大约阅读时间需要 9 分钟。

??????Spring Cloud??????

??????????????????????????????????????????????????????????????????????????????????

??????????

?????????????

  • ???????????????????????????
  • ???????????????????
  • ????????????????????
  • ?????????????????????

Spring Cloud?????

Spring Cloud???????????????????????????

1. ????????Eureka?

Eureka ?Spring Cloud??????????????????Eureka???????????????????????????????????

2. ???????Zuul?

Zuul????????????????????????????????????????????????????????????

3. ?????Ribbon?

Ribbon?????????????????????????????????????????????????????????????????

4. ???????Hystrix?

Hystrix?????????????????????Hystrix???????????????????????????????????

?????Eureka????

1. ??Eureka Server

  • POM???
  • org.springframework.cloud
    spring-cloud-starter-netflix-eureka-server
    1. ?????application.yml??
    2. server:  port: 8081eureka:  instance:    prefer-ip-address: true    hostname: leo-node  client:    register-with-eureka: false    fetch-registry: false    service-url:      defaultZone: http://${eureka.instance.hostname}:8082/eureka
      1. ????
      2. @SpringBootApplication@EnableEurekaServerpublic class EurekaServerApplication {    public static void main(String[] args) {        SpringApplication.run(EurekaServerApplication.class);    }}

        2. ????Eureka??

        ?IDE???????Eureka Server???????????????????????????????????Eureka??????????

        ????????Eureka???

        1. POM??

        org.springframework.cloud
        spring-cloud-starter-netflix-eureka-client

        2. ?????application.yml?

        eureka:  client:    service-url:      defaultZone: http://leo-node:8081/eureka    register-with-eureka: true    fetch-registry: trueserver:  port: 8091

        3. ???

        @SpringBootApplication@EnableEurekaClientpublic class ServiceProviderApplication {    public static void main(String[] args) {        SpringApplication.run(ServiceProviderApplication.class);    }}

        ????????Ribbon????

        1. POM??

        org.springframework.cloud
        spring-cloud-starter-netflix-ribbon

        2. ?????application.yml?

        eureka:  client:    service-url:      defaultZone: http://leo-node:8081/eurekaserver:  port: 9000

        3. ???????

        @Configurationpublic class RibbonConfig {    @LoadBalanced    @Bean    public RestTemplate restTemplate() {        return new RestTemplate();    }}

        4.CONTROLLER

        @RestController@RequestMapping("/consumer/ribbon")public class ConsumerController {    @Value("${server.port}")    private String port;    @Autowired    private RestTemplate restTemplate;    @RequestMapping("/sayHello")    public String test() {        return restTemplate.getForObject("http://service-provider-001/provider/sayHello", String.class);    }}

        ????

        ????????????????????????

      3. ??Eureka Server??????????????????
      4. ???????????????Eureka Server???????
      5. ??????????Ribbon?????????Hystrix???????????
      6. ????

        • ??????????????????Eureka Server?????????????
        • ???????Ribbon????????????????
        • ?????Hystrix????????????????????

        ???????????????Spring Cloud??????????????????????????

    转载地址:http://vyme.baihongyu.com/

    你可能感兴趣的文章
    Padding
    查看>>
    paddlehub安装及对口罩检测
    查看>>
    paddle的两阶段基础算法基础
    查看>>
    SpringBoot中重写addCorsMapping解决跨域以及提示list them explicitly or consider using “allowedOriginPatterns“ in
    查看>>
    pageHelper分页工具的使用
    查看>>
    PageHelper:上手教程(最详细)
    查看>>
    PageOffice如何实现从零开始动态生成图文并茂的Word文档
    查看>>
    PageRank算法
    查看>>
    Paint类(画笔)
    查看>>
    Palo Alto Networks PAN-OS身份认证绕过导致RCE漏洞复现(CVE-2024-0012)
    查看>>
    Panalog 日志审计系统 libres_syn_delete.php 前台RCE漏洞复现
    查看>>
    Panalog 日志审计系统 sprog_deletevent.php SQL 注入漏洞复现
    查看>>
    pandas :将时间戳转换为 datetime.date
    查看>>
    pandas :将行取消堆叠到新列中
    查看>>
    pandas DataFrame 中的自定义浮点格式
    查看>>
    Pandas Plots:周末的单独颜色,x 轴上漂亮的打印时间
    查看>>
    Pandas 对数据框的布尔比较
    查看>>
    Pandas 读取具有浮点值的 csv 文件会导致奇怪的舍入和小数位数
    查看>>
    pandas 适用,但仅适用于满足条件的行
    查看>>
    Pandas-通过对列和索引的值求和来合并两个数据框
    查看>>