Spring Boot Actuator监控的简单使用方法示例代码详解
Jeff.Smile 人气:3本文着重讲解了Spring Boot Actuator监控的简单使用,文中会用代码示例图文相结合为大家做详细介绍,希望能够帮助到您,欢迎大家阅读
Spring Boot Actuator帮助我们实现了许多中间件比如mysql、es、redis、mq等中间件的健康指示器。
通过 Spring Boot 的自动配置,这些指示器会自动生效。当这些组件有问题的时候,HealthIndicator 会返回 DOWN 或 OUT_OF_SERVICE 状态,health 端点 HTTP 响应状态码也会变为 503,我们可以以此来配置程序健康状态监控报警。
使用步骤也非常简单,这里演示的是线程池的监控。模拟线程池满了状态下将HealthInicator指示器变为Down的状态。
pom中引入jar
<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-actuator</artifactId> <https://img.qb5200.com/download-x/dependency>
引入properties配置
spring.application.name=boot # server.servlet.context-path=/boot # management.server.servlet.context-path=/boot # JVM (Micrometer)要求给应用设置commonTag management.metrics.tags.application=${spring.application.name} #去掉重复的metrics spring.metrics.servo.enabled=false management.endpoint.metrics.enabled=true management.endpoint.metrics.sensitive=false #显式配置不需要权限验证对外开放的端点 management.endpoints.web.exposure.include=* management.endpoints.jmx.exposure.include=* management.endpoint.health.show-details=always #Actuator 的 Web 访问方式的根地址为 /actuator,可以通过 management.endpoints.web.base-path 参数进行修改 management.endpoints.web.base-path=/actuator management.metrics.export.prometheus.enabled=true
代码
/** * @Author jeffSmile * @Date 下午 6:10 2020/5/24 0024 * @Description 定义一个接口,来把耗时很长的任务提交到这个 demoThreadPool 线程池,以模拟线程池队列满的情况 **/ @GetMapping("slowTask") public void slowTask() { ThreadPoolProvider.getDemoThreadPool().execute(() -> { try { TimeUnit.HOURS.sleep(1); } catch (InterruptedException e) { } }); }
package com.mongo.boot.service; import jodd.util.concurrent.ThreadFactoryBuilder; import java.util.concurrent.ArrayBlockingQueue; import java.util.concurrent.ThreadPoolExecutor; import java.util.concurrent.TimeUnit; public class ThreadPoolProvider { //一个工作线程的线程池,队列长度10 private static ThreadPoolExecutor demoThreadPool = new ThreadPoolExecutor( 1, 1, 2, TimeUnit.SECONDS, new ArrayBlockingQueue<>(10), new ThreadFactoryBuilder().setNameFormat("demo-threadpool-%d").get()); //核心线程数10,最大线程数50的线程池,队列长度50 private static ThreadPoolExecutor ioThreadPool = new ThreadPoolExecutor( 10, 50, 2, TimeUnit.SECONDS, new ArrayBlockingQueue<>(100), new ThreadFactoryBuilder().setNameFormat("io-threadpool-%d").get()); public static ThreadPoolExecutor getDemoThreadPool() { return demoThreadPool; } public static ThreadPoolExecutor getIOThreadPool() { return ioThreadPool; } }
package com.mongo.boot.service; import org.springframework.boot.actuate.health.Health; import org.springframework.boot.actuate.health.HealthIndicator; import java.util.HashMap; import java.util.Map; import java.util.concurrent.ThreadPoolExecutor; /** * @Author jeffSmile * @Date 下午 6:12 2020/5/24 0024 * @Description 自定义的 HealthIndicator 类,用于单一线程池的健康状态 **/ public class ThreadPoolHealthIndicator implements HealthIndicator { private ThreadPoolExecutor threadPool; public ThreadPoolHealthIndicator(ThreadPoolExecutor threadPool) { this.threadPool = threadPool; } @Override public Health health() { //补充信息 Map<String, Integer> detail = new HashMap<>(); //队列当前元素个数 detail.put("queue_size", threadPool.getQueue().size()); //队列剩余容量 detail.put("queue_remaining", threadPool.getQueue().remainingCapacity()); //如果还有剩余量则返回UP,否则返回DOWN if (threadPool.getQueue().remainingCapacity() > 0) { return Health.up().withDetails(detail).build(); } else { return Health.down().withDetails(detail).build(); } } }
package com.mongo.boot.service; import org.springframework.boot.actuate.health.CompositeHealthContributor; import org.springframework.boot.actuate.health.HealthContributor; import org.springframework.boot.actuate.health.NamedContributor; import org.springframework.stereotype.Component; import java.util.HashMap; import java.util.Iterator; import java.util.Map; /*** * @Author jeffSmile * @Date 下午 6:13 2020/5/24 0024 * @Description 定义一个 CompositeHealthContributor,来聚合两个 ThreadPoolHealthIndicator 的实例, * 分别对应 ThreadPoolProvider 中定义的两个线程池 **/ @Component public class ThreadPoolsHealthContributor implements CompositeHealthContributor { //保存所有的子HealthContributor private Map<String, HealthContributor> contributors = new HashMap<>(); ThreadPoolsHealthContributor() { //对应ThreadPoolProvider中定义的两个线程池 this.contributors.put("demoThreadPool", new ThreadPoolHealthIndicator(ThreadPoolProvider.getDemoThreadPool())); this.contributors.put("ioThreadPool", new ThreadPoolHealthIndicator(ThreadPoolProvider.getIOThreadPool())); } @Override public HealthContributor getContributor(String name) { //根据name找到某一个HealthContributor return contributors.get(name); } @Override public Iterator<NamedContributor<HealthContributor>> iterator() { //返回NamedContributor的迭代器,NamedContributor也就是Contributor实例+一个命名 return contributors.entrySet().stream() .map((entry) -> NamedContributor.of(entry.getKey(), entry.getValue())).iterator(); } }
启动springboot验证
这里我访问:http://localhost:8080/slowTask
每次访问都向demo线程池中提交一个耗时1小时的任务,而demo线程池的核心和最大线程数都是1,队列长度为10,那么当访问11次之后,任务将被直接拒绝掉!
此时访问:http://localhost:8080/actuator/health
demo线程池队列已经满了,状态变为DOWN。
监控内部重要组件的状态数据
通过 Actuator 的 InfoContributor 功能,对外暴露程序内部重要组件的状态数据!
实现一个 ThreadPoolInfoContributor 来展现线程池的信息:
package com.mongo.boot.config; import com.mongo.boot.service.ThreadPoolProvider; import org.springframework.boot.actuate.info.Info; import org.springframework.boot.actuate.info.InfoContributor; import org.springframework.stereotype.Component; import java.util.HashMap; import java.util.Map; import java.util.concurrent.ThreadPoolExecutor; /** * @Author jeffSmile * @Date 下午 6:37 2020/5/24 0024 * @Description 通过 Actuator 的 InfoContributor 功能,对外暴露程序内部重要组件的状态数据 **/ @Component public class ThreadPoolInfoContributor implements InfoContributor { private static Map threadPoolInfo(ThreadPoolExecutor threadPool) { Map<String, Object> info = new HashMap<>(); info.put("poolSize", threadPool.getPoolSize());//当前池大小 info.put("corePoolSize", threadPool.getCorePoolSize());//设置的核心池大小 info.put("largestPoolSize", threadPool.getLargestPoolSize());//最大达到过的池大小 info.put("maximumPoolSize", threadPool.getMaximumPoolSize());//设置的最大池大小 info.put("completedTaskCount", threadPool.getCompletedTaskCount());//总完成任务数 return info; } @Override public void contribute(Info.Builder builder) { builder.withDetail("demoThreadPool", threadPoolInfo(ThreadPoolProvider.getDemoThreadPool())); builder.withDetail("ioThreadPool", threadPoolInfo(ThreadPoolProvider.getIOThreadPool())); } }
直接访问http://localhost:8080/actuator/info
如果开启jmx,还可以使用jconsole来查看线程池的状态信息:
#开启 JMX spring.jmx.enabled=true
打开jconcole界面之后,进入MBean这个tab,可以在EndPoint下的Info操作这里看到我们的Bean信息。
不过,除了jconsole之外,我们可以把JMX协议转为http协议,这里引入jolokia:
<dependency> <groupId>org.jolokia</groupId> <artifactId>jolokia-core</artifactId> <https://img.qb5200.com/download-x/dependency>
重启后访问:http://localhost:8080/actuator/jolokia/exec/org.springframework.boot:type=Endpoint,name=Info/info
监控延伸
通过Micrometer+promethues+grafana的组合也可以进行一些生产级别的实践。
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