- 线程池配置
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
import java.util.concurrent.ThreadPoolExecutor;
@Configuration(proxyBeanMethods = false)
public class OrderListConfiguration {
public static final String ORDER_LIST_POOL_TASK_EXECUTOR = "ORDER_LIST_POOL_TASK_EXECUTOR";
@Bean(ORDER_LIST_POOL_TASK_EXECUTOR)
public ThreadPoolTaskExecutor notifyThreadPoolTaskExecutor() {
ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
executor.setCorePoolSize(8); // 设置核心线程数
executor.setMaxPoolSize(16); // 设置最大线程数
executor.setKeepAliveSeconds(60); // 设置空闲时间
executor.setQueueCapacity(100); // 设置队列大小
executor.setThreadNamePrefix("order-list-task-"); // 配置线程池的前缀
executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
// 进行加载
executor.initialize();
return executor;
}
}
- 使用
@Resource(name = ORDER_LIST_POOL_TASK_EXECUTOR)
private ThreadPoolTaskExecutor threadPoolTaskExecutor;
@Async(ORDER_LIST_POOL_TASK_EXECUTOR)
标签:TASK,executor,线程,EXECUTOR,ThreadPoolTaskExecutor,ORDER
From: https://www.cnblogs.com/revil/p/18495960