public void updateCameraFilmingTime() throws Exception { // 獲取業務數據list,替換成自己的邏輯就好 List<Map<String, String>> list = alarmVideoDao.getCameraList(); ExecutorService service = Executors.newCachedThreadPool(); CountDownLatch countDown = new CountDownLatch(list.size()); for(Map<String,String> cameraInfo: list){ Runnable runnable = new Runnable() { @Override public void run() { // 循環內部邏輯,替換成自己的邏輯就好 List<Map<String, Date>> timeList = alarmVideoDao.getVideoRecodeTime(cameraInfo.get("code")); if (timeList.get(0) != null) { alarmVideoDao.updateCameraFilmingTime(cameraInfo.get("code"),(Date)timeList.get(0).get("time")); } countDown.countDown(); } }; service.execute(runnable); } try { countDown.await(); } catch (InterruptedException e) { e.printStackTrace(); } }
以上屬於自己不會寫多線程,抄就行,多線程對於我來說比較高深的,只能暫時寫這樣的例子替換,沒有深入探究多線程,我之前兩百多萬的數據沒寫多線程之前要跑半個小時,改完多線程之后只跑了3分鍾,效果很明顯。但是多線程應用場景還是去別的博主那邊查一查,不是所有的情況都適合多線程的。。。因為耗cpu,自己琢磨琢磨看着辦。。。