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package com.tanpu.fund.config;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.annotation.EnableAsync;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
import java.util.concurrent.Executor;
import java.util.concurrent.ThreadPoolExecutor;
/**
* 线程池配置类
*/
@Configuration
@EnableAsync
@Slf4j
public class ExecutorConfig {
@Value("${task.core_pool_size}")
private int taskCorePoolSize;
@Value("${task.max_pool_size}")
private int taskMaxPoolSize;
@Value("${task.queue_capacity}")
private int taskQueueCapacity;
@Value("${task.thread_name_prefix}")
private String taskThreadNamePrefix;
@Bean(name = "asyncTaskExecutor")
public Executor asyncTaskExecutor() {
log.info("start asyncUbrScanExecutor");
ThreadPoolTaskExecutor executor = new VisiableThreadPoolTaskExecutor();
//配置核心线程数
executor.setCorePoolSize(taskCorePoolSize);
//配置最大线程数
executor.setMaxPoolSize(taskMaxPoolSize);
//配置队列大小
executor.setQueueCapacity(taskQueueCapacity);
//配置线程池中的线程的名称前缀
executor.setThreadNamePrefix(taskThreadNamePrefix);
// rejection-policy：当pool已经达到max size的时候，如何处理新任务
// CALLER_RUNS：不在新线程中执行任务，而是有调用者所在的线程来执行
executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
//执行初始化
executor.initialize();
return executor;
}
}