ThreadPoolExecutor帶Queue緩沖隊列的線程池 + JMeter模擬並發下單請求
阿新 • • 發佈:2019-01-14
acc discard blob 連接池 大數 private can imu led
.原文:https://blog.csdn.net/u011677147/article/details/80271174
拓展:
https://github.com/jwpttcg66/GameThreadPool/blob/85bb392151324e68addec355d85d9ce22b4ab1e2/src/test/java/com/snowcattle/game/thread/ThreadPoolTest.java
遊戲中常用的線程池,順序隊列和非順序隊列
@RestController public class TestController { @Autowired TestThreadPoolManager testThreadPoolManager;/** * 測試模擬下單請求 入口 * @param id * @return */ @GetMapping("/start/{idhaha}") public String start(@PathVariable Long idhaha) { //模擬的隨機數 String orderNo = System.currentTimeMillis() + UUID.randomUUID().toString(); testThreadPoolManager.addOrders(orderNo);return "Test ThreadPoolExecutor start"; } /** * 停止服務 * @param id * @return */ @GetMapping("/end/{id}") public String end(@PathVariable Long id) { testThreadPoolManager.shutdown(); Queue q = testThreadPoolManager.getMsgQueue(); System.out.println("關閉了線程服務,還有未處理的信息條數:" + q.size()); return "Test ThreadPoolExecutor start"; } }
@Component public class TestThreadPoolManager implements BeanFactoryAware { //用於從IOC裏取對象 private BeanFactory factory; //如果實現Runnable的類是通過spring的application.xml文件進行註入,可通過 factory.getBean()獲取,這裏只是提一下 private final static int CORE_POOL_SIZE = 2; private final static int MAX_POOL_SIZE = 10; private final static int KEEP_ALIVE_TIME = 0; // 線程池所使用的緩沖隊列大小 private final static int WORK_QUEUE_SIZE = 50; @Override public void setBeanFactory(BeanFactory beanFactory) throws BeansException { factory = beanFactory; } /** * 線程隊列:用於儲存在隊列中的訂單,防止重復提交,在真實場景中,可用redis代替 驗證重復 */ Map<String, Object> cacheMap = new ConcurrentHashMap<>(); /** * 線程緩沖隊列:訂單的緩沖隊列,當線程池滿了,則將訂單存入到此緩沖隊列 */ Queue<Object> msgQueue = new LinkedBlockingQueue<Object>(); /** * 在使用線程池並且使用有界隊列的時候,如果隊列滿了,任務添加到線程池的時候就會有問題,針對這些問題java線程池提供了以下幾種策略: * AbortPolicy * DiscardPolicy * DiscardOldestPolicy * CallerRunsPolicy * 自定義 * * 當前采用的就是自定義:線程池的容量滿了,執行下面代碼,將訂單存入到緩沖隊列 */ final RejectedExecutionHandler handler = new RejectedExecutionHandler() { @Override public void rejectedExecution(Runnable r, ThreadPoolExecutor executor) { //訂單加入到緩沖隊列 msgQueue.offer(((BusinessThread) r).getAcceptStr()); System.out.println("系統任務太忙了(有界隊列已經滿了),把此訂單交給(調度線程池)逐一處理,訂單號:" + ((BusinessThread) r).getAcceptStr()); } }; /**創建線程池 * * 概念解釋及原理(無實例): * https://uule.iteye.com/blog/1123185 * https://www.cnblogs.com/trust-freedom/p/6594270.html * https://www.cnblogs.com/zedosu/p/6665306.html * *含實例的: * https://blog.csdn.net/x631617479/article/details/83001198 :自定義連接池ThreadPoolExecutor執行順序 * https://blog.csdn.net/changyuan101/article/details/50755157 :ThreadPoolExecutor自定義RejectedExecutionHandler當隊列滿時改為調用BlockingQueue. put來實現生產者的阻塞 * * 處理任務的優先級為: * corePoolSize、任務隊列workQueue、最大線程maximumPoolSize,如果三者都滿了,使用(調度線程池)handler處理被拒絕的任務。 * * * */ final ThreadPoolExecutor threadPool = new ThreadPoolExecutor( CORE_POOL_SIZE, // 線程池維護線程的最少數量 MAX_POOL_SIZE, // 線程池維護線程的最大數量 KEEP_ALIVE_TIME, // 線程池維護線程所允許的空閑時間 TimeUnit.SECONDS, // 線程池維護線程所允許的空閑時間的單位 new ArrayBlockingQueue(WORK_QUEUE_SIZE), // 線程池所使用的緩沖隊列 this.handler // 線程池對拒絕任務的處理策略 ); /**將任務加入訂單線程池*/ public void addOrders(String orderId){ System.out.println("此訂單準備添加到線程池,訂單號:" + orderId); //驗證當前進入的訂單是否已經存在 if (cacheMap.get(orderId) == null) { cacheMap.put(orderId, new Object()); BusinessThread businessThread = new BusinessThread(orderId); threadPool.execute(businessThread); } } /** * 線程池的定時任務----> 稱為(調度線程池)。此線程池支持 定時以及周期性執行任務的需求。 */ final ScheduledExecutorService scheduler = Executors.newScheduledThreadPool(5); /** * 檢查(調度線程池),每秒執行一次,查看訂單的緩沖隊列是否有 訂單記錄,則重新加入到線程池 */ final ScheduledFuture scheduledFuture = scheduler.scheduleAtFixedRate(new Runnable() { @Override public void run() { //判斷緩沖隊列是否存在記錄 if(!msgQueue.isEmpty()){ //當線程池的隊列容量少於 WORK_QUEUE_SIZE(緩沖隊列max),則開始把緩沖隊列的訂單 加入到 線程池 if (threadPool.getQueue().size() < WORK_QUEUE_SIZE) { String orderId = (String) msgQueue.poll(); BusinessThread businessThread = new BusinessThread(orderId); threadPool.execute(businessThread); System.out.println("(調度線程池)緩沖隊列出現訂單業務,重新添加到線程池,訂單號:"+orderId); } } } }, 0, 1, TimeUnit.SECONDS); /**獲取消息緩沖隊列*/ public Queue<Object> getMsgQueue() { return msgQueue; } /**終止訂單線程池+調度線程池*/ public void shutdown() { //true表示如果定時任務在執行,立即中止,false則等待任務結束後再停止 System.out.println("終止訂單線程池+調度線程池:"+scheduledFuture.cancel(false)); scheduler.shutdown(); threadPool.shutdown(); } }
@Component @Scope("prototype")//spring 多例 public class BusinessThread implements Runnable{ private String acceptStr; public BusinessThread() { super(); } public BusinessThread(String acceptStr) { this.acceptStr = acceptStr; } public String getAcceptStr() { return acceptStr; } public void setAcceptStr(String acceptStr) { this.acceptStr = acceptStr; } @Override public void run() { //業務操作 System.out.println("多線程已經處理訂單插入系統,訂單號:"+acceptStr); //線程阻塞 /*try { Thread.sleep(1000); System.out.println("多線程已經處理訂單插入系統,訂單號:"+acceptStr); } catch (InterruptedException e) { e.printStackTrace(); }*/ } }
ThreadPoolExecutor帶Queue緩沖隊列的線程池 + JMeter模擬並發下單請求