io.github.lunasaw.sip.common.conf.ThreadPoolTaskConfig Maven / Gradle / Ivy
package io.github.lunasaw.sip.common.conf;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.annotation.Order;
import org.springframework.scheduling.annotation.EnableAsync;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
import java.util.concurrent.ThreadPoolExecutor;
/**
* ThreadPoolTask 配置类
*
* @author lin
*/
@Configuration
@Order(1)
@EnableAsync(proxyTargetClass = true)
public class ThreadPoolTaskConfig {
public static final int cpuNum = Runtime.getRuntime().availableProcessors();
/**
* 默认情况下，在创建了线程池后，线程池中的线程数为0，当有任务来之后，就会创建一个线程去执行任务，
* 当线程池中的线程数目达到corePoolSize后，就会把到达的任务放到缓存队列当中；
* 当队列满了，就继续创建线程，当线程数量大于等于maxPoolSize后，开始使用拒绝策略拒绝
*/
/**
* 核心线程数（默认线程数）
*/
private static final int corePoolSize = 200;
/**
* 最大线程数
*/
private static final int maxPoolSize = 200;
/**
* 允许线程空闲时间（单位：默认为秒）
*/
private static final int keepAliveTime = 30;
/**
* 缓冲队列大小
*/
private static final int queueCapacity = 100;
/**
* 线程池名前缀
*/
private static final String threadNamePrefix = "sip-";
/**
* @return
*/
@Bean("sipTaskExecutor") // bean的名称，默认为首字母小写的方法名
public ThreadPoolTaskExecutor taskExecutor() {
ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
executor.setCorePoolSize(corePoolSize);
executor.setMaxPoolSize(maxPoolSize);
executor.setQueueCapacity(queueCapacity);
executor.setKeepAliveSeconds(keepAliveTime);
executor.setThreadNamePrefix(threadNamePrefix);
// 线程池对拒绝任务的处理策略
// CallerRunsPolicy：由调用线程（提交任务的线程）处理该任务
executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
// 初始化
executor.initialize();
return executor;
}
}