eout","stateString","when","singleValue","remaining","resolveContexts","resolveValues","primary","updateFunc","rerrorNames","asyncError","console","warn","message","stack","readyException","readyList","completed","removeEventListener","readyWait","wait","readyState","doScroll","access","chainable","emptyGet","raw","bulk","_key","rmsPrefix","rdashAlpha","fcamelCase","_all","letter","toUpperCase","camelCase","string","acceptData","owner","Data","uid","defineProperty","configurable","set","data","p...

     * values must be between 1 and [Integer.MAX_VALUE] when converted to milliseconds.
     *
     * The close timeout is the maximum amount of time after the client calls [WebSocket.close] to
     * wait for a graceful shutdown. If the server doesn't respond the web socket will be canceled.
     * The default value is 60 seconds.
     */
    fun webSocketCloseTimeout(
      timeout: Long,
      unit: TimeUnit,

* Assume volume is detached if node doesn't exist ([#29485](https://github.com/kubernetes/kubernetes/pull/29485), [@saad-ali](https://github.com/saad-ali))
* Make PD E2E Tests Wait for Detach to Prevent Kernel Errors ([#29031](https://github.com/kubernetes/kubernetes/pull/29031), [@saad-ali](https://github.com/saad-ali))

         * Waits for the crawling thread to terminate within a specified time limit.
         * This method blocks until the thread completes or the timeout expires.
         *
         * @param mills maximum time to wait in milliseconds
         */
        public void awaitTermination(final long mills) {
            try {
                join(mills);
            } catch (final InterruptedException e) {

        for (int t = 0; t < threadCount; t++) {
            final int threadId = t;
            executor.submit(() -> {
                try {
                    startLatch.await(); // Wait for all threads to be ready

                    for (int i = 0; i < operationsPerThread; i++) {
                        String message = String.format("Thread-%d-Message-%d", threadId, i);

C'est pourquoi il est logique d'utiliser du code asynchrone ⏸🔀⏯ pour des APIs web.

Ce type d'asynchronicité est ce qui a rendu NodeJS populaire (bien que NodeJS ne soit pas parallèle) et c'est la force du Go en tant que langage de programmation.

Et c'est le même niveau de performance que celui obtenu avec **FastAPI**.

                        assertEquals(expectedSize, buffer.size());
                    }
                });
                threads[i].start();
            }

            // Wait for all threads
            for (Thread thread : threads) {
                thread.join();
            }
        }
    }

                    e.printStackTrace();
                    success[index] = false;
                }
            });
            threads[i].start();
        }

        // Wait for all threads to complete
        for (Thread thread : threads) {
            thread.join();
        }

        // All threads should complete successfully
        for (boolean s : success) {

                    e.printStackTrace();
                    success[index] = false;
                }
            });
            threads[i].start();
        }

        // Wait for all threads to complete
        for (Thread thread : threads) {
            thread.join();
        }

        // All threads should complete successfully
        for (boolean s : success) {

Hier sind einige Beispiele, wann das sinnvoll sein könnte:

#### Eine einfache Anwendung