Spring Boot 中使用 Resilience4j 实现弹性微服务的简单了解

1. 引言

在微服务架构中，服务的弹性是非常重要的。Resilience4j 是一个轻量级的容错库，专为函数式编程设计，提供了断路器、重试、舱壁、限流器和限时器等功能。

这里不做过多演示，只是查看一下官方案例并换成maven构建相关展示；

2.配置

spring:application.name: resilience4j-demojackson.serialization.indent_output: true # 格式化输出jsonserver:port: 9080management.endpoints.web.exposure.include: '*' # 暴露所有端点
management.endpoint.health.show-details: always # 显示详细健康信息management.health.diskspace.enabled: false # 关闭磁盘空间健康检查
management.health.db.enabled: false # 关闭数据库健康检查
management.health.circuitbreakers.enabled: true #  开启断路器健康检查
management.health.conditions.enabled: false # 关闭条件健康检查
management.health.ratelimiters.enabled: false # 关闭限流器健康检查info:name: ${spring.application.name}description: resilience4j demoenvironment: ${spring.profiles.active}version: 0.0.1management.metrics.tags.application: ${spring.application.name} # 添加自定义标签
management.metrics.distribution.percentiles-histogram.http.server.requests: true # 开启http请求统计
management.metrics.distribution.percentiles-histogram.resilience4j.circuitbreaker.calls: true # 开启断路器统计#resilience4j.circuitbreaker.metrics.use_legacy_binder: true # 使用旧版绑定器resilience4j.circuitbreaker: # 断路器配置configs:default:registerHealthIndicator: true # 开启健康检查slidingWindowSize: 10 # 滑动窗口大小minimumNumberOfCalls: 5 # 最小调用次数permittedNumberOfCallsInHalfOpenState: 3 # 半开状态最大调用次数automaticTransitionFromOpenToHalfOpenEnabled: true # 自动切换到半开状态waitDurationInOpenState: 5s # 半开状态等待时间failureRateThreshold: 50 # 失败率阈值eventConsumerBufferSize: 10 # 事件消费者缓冲区大小recordExceptions: # 记录异常- org.springframework.web.client.HttpServerErrorException # http服务端错误- java.util.concurrent.TimeoutException # 超时异常- java.io.IOException # IO异常ignoreExceptions: # 忽略异常- io.github.robwin.exception.BusinessException # 业务异常shared: # 共享配置slidingWindowSize: 100 # 滑动窗口大小permittedNumberOfCallsInHalfOpenState: 30 # 半开状态最大调用次数waitDurationInOpenState: 1s # 半开状态等待时间failureRateThreshold: 50 # 失败率阈值eventConsumerBufferSize: 10 # 事件消费者缓冲区大小ignoreExceptions: # 忽略异常- io.github.robwin.exception.BusinessException # 业务异常instances: # 实例配置backendA: # 配置 backendA 实例baseConfig: default # 使用 default 配置backendB: # 配置 backendB 实例registerHealthIndicator: true # 开启健康检查slidingWindowSize: 10 # 滑动窗口大小minimumNumberOfCalls: 10 # 最小调用次数permittedNumberOfCallsInHalfOpenState: 3 # 半开状态最大调用次数waitDurationInOpenState: 5s # 半开状态等待时间failureRateThreshold: 50 # 失败率阈值eventConsumerBufferSize: 10 # 事件消费者缓冲区大小recordFailurePredicate: io.github.robwin.exception.RecordFailurePredicate # 记录异常
resilience4j.retry: # 重试配置configs:default:maxAttempts: 3 # 最大重试次数waitDuration: 100 # 重试间隔时间 (ms)retryExceptions: # 记录异常- org.springframework.web.client.HttpServerErrorException # http服务端错误- java.util.concurrent.TimeoutException # 超时异常- java.io.IOException # IO异常ignoreExceptions: # 忽略异常- io.github.robwin.exception.BusinessException # 业务异常instances:backendA: # 配置 backendA 实例baseConfig: default # 使用 default 配置backendB: # 配置 backendB 实例baseConfig: default # 使用 default 配置
resilience4j.bulkhead: # 舱壁 批量请求配置configs:default:maxConcurrentCalls: 100 # 最大并发调用数instances:backendA: # 配置 backendA 实例maxConcurrentCalls: 10 # 最大并发调用数backendB:maxWaitDuration: 10ms # 最大等待时间maxConcurrentCalls: 20 # 最大并发调用数resilience4j.thread-pool-bulkhead: # 线程池舱壁 批量请求配置configs:default:maxThreadPoolSize: 4 # 最大线程池大小coreThreadPoolSize: 2 # 核心线程池大小queueCapacity: 2 # 队列容量instances:backendA:baseConfig: default # 使用 default 配置backendB:maxThreadPoolSize: 1 # 覆盖默认配置，最大线程池大小coreThreadPoolSize: 1 # 覆盖默认配置，核心线程池大小queueCapacity: 1 # 覆盖默认配置，队列容量resilience4j.ratelimiter: # 限流器配置configs:default:registerHealthIndicator: false # 关闭健康检查limitForPeriod: 10 # 每个周期内的请求限制数limitRefreshPeriod: 1s # 周期刷新时间，即每秒刷新一次timeoutDuration: 0 # 请求超时时间，0表示不超时eventConsumerBufferSize: 100 # 事件消费者缓冲区大小instances:backendA:baseConfig: default # 使用默认配置backendB:limitForPeriod: 6 # 每个周期内的请求限制数limitRefreshPeriod: 500ms # 周期刷新时间，即每500毫秒刷新一次timeoutDuration: 3s # 请求超时时间，3秒resilience4j.timelimiter: # 限时器配置configs:default:cancelRunningFuture: false # 是否取消正在运行的FuturetimeoutDuration: 2s # 超时时间，2秒instances:backendA:baseConfig: default # 使用默认配置backendB:baseConfig: default # 使用默认配置

3.依赖

 <parent><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-parent</artifactId><version>2.7.5</version><relativePath/> <!-- lookup parent from repository --></parent><properties><maven.compiler.source>17</maven.compiler.source><maven.compiler.target>17</maven.compiler.target><resilience4j.version>2.0.2</resilience4j.version></properties><dependencies><!-- Spring Boot Starters --><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-webflux</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-actuator</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-aop</artifactId></dependency><!-- Resilience4j --><dependency><groupId>io.github.resilience4j</groupId><artifactId>resilience4j-spring-boot2</artifactId><version>${resilience4j.version}</version></dependency><dependency><groupId>io.github.resilience4j</groupId><artifactId>resilience4j-all</artifactId><version>${resilience4j.version}</version></dependency><dependency><groupId>io.github.resilience4j</groupId><artifactId>resilience4j-reactor</artifactId><version>${resilience4j.version}</version></dependency><!-- Micrometer Prometheus --><dependency><groupId>io.micrometer</groupId><artifactId>micrometer-registry-prometheus</artifactId></dependency><!-- Chaos Monkey for Spring Boot --><dependency><groupId>de.codecentric</groupId><artifactId>chaos-monkey-spring-boot</artifactId><version>2.7.0</version></dependency><!-- Vavr Jackson --><dependency><groupId>io.vavr</groupId><artifactId>vavr-jackson</artifactId><version>0.10.3</version></dependency><!-- Test Dependencies --><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><scope>test</scope></dependency><dependency><groupId>io.projectreactor</groupId><artifactId>reactor-test</artifactId><version>3.4.22</version><scope>test</scope></dependency></dependencies>

这里正好用Prometheus和Grafana看看效果