前提:搭建好cloud alibaba 与 nacos的集成
1 nacos中配置文件内容
core:
size: 30
max:
size: 50
2 线程配置类
import com.alibaba.cloud.nacos.NacosConfigManager;
import com.alibaba.cloud.nacos.NacosConfigProperties;
import com.alibaba.nacos.api.config.listener.Listener;
import com.google.common.util.concurrent.ThreadFactoryBuilder;
import org.springframework.beans.factory.InitializingBean;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.cloud.context.config.annotation.RefreshScope;
import org.springframework.context.annotation.Configuration;
import java.util.concurrent.*;
/**
* Nacos作为服务配置中心,
* 实现一个简单的动态化线程池。
* 修改线程池核心线程数、
* 最大线程数为例,
*/
@RefreshScope
@Configuration
public class DynamicThreadPool implements InitializingBean {
@Value("${core.size}")
private String coreSize;
@Value("${max.size}")
private String maxSize;
private static ThreadPoolExecutor threadPoolExecutor;
@Autowired
private NacosConfigManager nacosConfigManager;
@Autowired
private NacosConfigProperties nacosConfigProperties;
@Override
public void afterPropertiesSet() throws Exception {
//按照nacos配置初始化线程池
threadPoolExecutor = new ThreadPoolExecutor(Integer.parseInt(coreSize), Integer.parseInt(maxSize), 10L, TimeUnit.SECONDS,
new LinkedBlockingQueue<>(10),
new ThreadFactoryBuilder().setNameFormat("c_t_%d").build(),
new RejectedExecutionHandler() {
@Override
public void rejectedExecution(Runnable r, ThreadPoolExecutor executor) {
System.out.println("rejected!");
}
});
//nacos配置变更监听
nacosConfigManager.getConfigService().addListener("order-service-dev.yml", nacosConfigProperties.getGroup(),
new Listener() {
@Override
public Executor getExecutor() {
return null;
}
@Override
public void receiveConfigInfo(String configInfo) {
//配置变更,修改线程池配置
System.out.println(configInfo);
changeThreadPoolConfig(Integer.parseInt(coreSize), Integer.parseInt(maxSize));
}
});
}
/**
* 打印当前线程池的状态
*/
public String printThreadPoolStatus() {
return String.format("core_size:%s,thread_current_size:%s;" +
"thread_max_size:%s;queue_current_size:%s,total_task_count:%s", threadPoolExecutor.getCorePoolSize(),
threadPoolExecutor.getActiveCount(), threadPoolExecutor.getMaximumPoolSize(), threadPoolExecutor.getQueue().size(),
threadPoolExecutor.getTaskCount());
}
/**
* 给线程池增加任务
*
* @param count
*/
public void dynamicThreadPoolAddTask(int count) {
for (int i = 0; i < count; i++) {
int finalI = i;
threadPoolExecutor.execute(new Runnable() {
@Override
public void run() {
try {
System.out.println(finalI);
Thread.sleep(10000);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
});
}
}
/**
* 修改线程池核心参数
*
* @param coreSize
* @param maxSize
*/
private void changeThreadPoolConfig(int coreSize, int maxSize) {
threadPoolExecutor.setCorePoolSize(coreSize);
threadPoolExecutor.setMaximumPoolSize(maxSize);
}
}
3 controller层
@RestController
@RequestMapping("/threadpool")
public class ThreadPoolController {
@Autowired
private DynamicThreadPool dynamicThreadPool;
/**
* 打印当前线程池的状态
*/
@GetMapping("/print")
public String printThreadPoolStatus() {
return dynamicThreadPool.printThreadPoolStatus();
}
/**
* 给线程池增加任务
*
* @param count
*/
@GetMapping("/add")
public String dynamicThreadPoolAddTask(int count) {
dynamicThreadPool.dynamicThreadPoolAddTask(count);
return String.valueOf(count);
}
}
4 测试,修改nacos配置,再打印看下,线程池参数就变化了