1.写一个线程池配置类
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
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;
/**
* @Author: renbaojia
* @CreateDate: 2019-04-22 17:36:27
* @Description: 线程池配置类
* @Version: 3.4.0
*/
@Configuration
@EnableAsync
public class ThreadPoolConfig {
private static final Logger LOGGER = LoggerFactory.getLogger(ThreadPoolConfig.class);
@Value("SPRING.")
/**
* 参数最好写载配置文件
* @return Executor
*/
@Bean
public Executor asyncServiceExecutor() {
LOGGER.info("start asyncServiceExecutor");
ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
//配置核心线程数
executor.setCorePoolSize(5);
//配置最大线程数
executor.setMaxPoolSize(5);
//配置队列大小
executor.setQueueCapacity(99999);
//配置线程池中的线程的名称前缀
executor.setThreadNamePrefix("async-timp-service-");
// 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;
}
}
2.使用在方法上加上@Async
//asyncServiceExecutor为方法名
@Async("asyncServiceExecutor")
这个是最基本的线程池 比如我们想要看到线程池每次正在执行的队列 线程池大小 正在运行的线程的话 我们可以实现ThreadPoolTaskExecutor 的子类 获取里面的
getCorePoolSize
getMaxPoolSize
实现