package com.ltkj.web.config.timer; import com.google.common.util.concurrent.ThreadFactoryBuilder; import com.ltkj.framework.aspectj.AsynAspect; import com.ltkj.framework.datasource.DynamicDataSourceContextHolder; import lombok.extern.slf4j.Slf4j; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import java.util.concurrent.LinkedBlockingQueue; import java.util.concurrent.ThreadPoolExecutor; import java.util.concurrent.TimeUnit; /** * @Company: 西安路泰科技有限公司 * @Author: zjh * @Date: 2023/3/28 11:48 */ @Configuration @Slf4j public class ThreadPoolConfiguration { private static final Logger logger = LoggerFactory.getLogger(AsynAspect.class); @Bean(name = "async", destroyMethod = "shutdown") public ThreadPoolExecutor systemCheckPoolExecutorService() { // 获取当前线程的数据源 String dataSource = DynamicDataSourceContextHolder.getDataSourceType(); logger.info("异步传递线程当前线程数据源: {}", dataSource); return new ThreadPoolExecutor(3, 10, 60, TimeUnit.SECONDS, new LinkedBlockingQueue<>(10000), new ThreadFactoryBuilder().setNameFormat("default-executor-%d").build(), (r, executor) -> logger.error("system pool is full! ")) { @Override public void execute(Runnable task) { // 包装任务,将数据源传递到异步线程 super.execute(new Runnable() { @Override public void run() { // 在异步线程中设置数据源 String dataSource = DynamicDataSourceContextHolder.getDataSourceType(); try { DynamicDataSourceContextHolder.setDataSourceType(dataSource); task.run(); } finally { // 确保在任务执行完成后清理数据源 DynamicDataSourceContextHolder.clearDataSourceType(); } } }); } }; } }