Java新建一个子线程异步运行方法

如何在运行主方法的同时异步运行另一个方法，我是用来更新缓存；

1. 工具类

public class ThreadPoolUtils {
    private static final Logger LOGGER = LoggerFactory.getLogger(ThreadPoolUtils.class);
    private static final String POOL_NAME = "thread-im-runner";
    // 等待队列长度
    private static final int BLOCKING_QUEUE_LENGTH = 20000;
    // 闲置线程存活时间
    private static final int KEEP_ALIVE_TIME = 5 * 1000;
    private static ThreadPoolExecutor threadPool = null;

    private ThreadPoolUtils() {
        throw new IllegalStateException("utility class");
    }

    /**
     * 无返回值直接执行
     *
     * @param runnable 需要运行的任务
     */
    public static void execute(Runnable runnable) {
        getThreadPool().execute(runnable);
    }

    /**
     * 有返回值执行 主线程中使用Future.get()获取返回值时，会阻塞主线程，直到任务执行完毕
     *
     * @param callable 需要运行的任务
     */
    public static <T> Future<T> submit(Callable<T> callable) {
        return getThreadPool().submit(callable);
    }

    private static synchronized ThreadPoolExecutor getThreadPool() {
        if (threadPool == null) {
            // 核心线程数、最大线程数、闲置线程存活时间、时间单位、线程队列、线程工厂、当前线程数已经超过最大线程数时的异常处理策略
            threadPool = new ThreadPoolExecutor(50, 500, KEEP_ALIVE_TIME, TimeUnit.MILLISECONDS,
                new ArrayBlockingQueue<>(BLOCKING_QUEUE_LENGTH),
                new ThreadFactoryBuilder().setNameFormat(POOL_NAME + "-%d").build(),
                new ThreadPoolExecutor.AbortPolicy() {
                    @Override
                    public void rejectedExecution(Runnable r, ThreadPoolExecutor e) {
                        LOGGER.warn("线程过多，当前运行线程总数：{}，活动线程数：{}。等待队列已满，等待运行任务数：{}", e.getPoolSize(), e.getActiveCount(),
                            e.getQueue().size());
                    }
                });
        }
        return threadPool;
    }

    private static synchronized ThreadPoolExecutor getThreadPoolByCpuNum() {
        if (threadPool == null) {
            // 获取处理器数量
            int cpuNum = Runtime.getRuntime().availableProcessors();
            // 根据cpu数量,计算出合理的线程并发数
            int maximumPoolSize = cpuNum * 2 + 1;
            // 核心线程数、最大线程数、闲置线程存活时间、时间单位、线程队列、线程工厂、当前线程数已经超过最大线程数时的异常处理策略
            threadPool = new ThreadPoolExecutor(maximumPoolSize - 1, maximumPoolSize, KEEP_ALIVE_TIME,
                TimeUnit.MILLISECONDS, new ArrayBlockingQueue<>(BLOCKING_QUEUE_LENGTH),
                new ThreadFactoryBuilder().setNameFormat(POOL_NAME + "-%d").build(),
                new ThreadPoolExecutor.AbortPolicy() {
                    @Override
                    public void rejectedExecution(Runnable r, ThreadPoolExecutor e) {
                        LOGGER.warn("线程爆炸了，当前运行线程总数：{}，活动线程数：{}。等待队列已满，等待运行任务数：{}", e.getPoolSize(), e.getActiveCount(),
                            e.getQueue().size());
                    }
                });
        }
        return threadPool;
    }
}

2.实际使用

    ThreadPoolUtils.execute(() -> {
            this.Method();
        });