Calls are executed in one of two ways:

 * **Synchronous:** your thread blocks until the response is readable.
 * **Asynchronous:** you enqueue the request on any thread, and get [called back](https://square.github.io/okhttp/5.x/okhttp/okhttp3/-callback/) on another thread when the response is readable.

- **DI**: LastaFlute container with `@Resource` and XML config

### Core Principles

**Thread Safety**: `AtomicLong` for counters, `volatile` for status flags, synchronized blocks, thread-local storage via `CrawlingParameterUtil`

                    }
                });
            }

            // Start all threads
            for (Thread t : threads) {
                t.start();
            }

            // Wait for completion
            for (Thread t : threads) {
                t.join();
            }

            // Verify thread safety - no unexpected exceptions

        Thread[] threads = new Thread[10];

        // Act
        for (int i = 0; i < threads.length; i++) {
            final int index = i;
            threads[i] = new Thread(() -> {
                results[index] = transPeekNamedPipe.toString();
            });
            threads[i].start();
        }

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

        // be ignored; see tryClose comment.
        if (socket == null) {
            socket = new DatagramSocket(lport, laddr);
            thread = new Thread(this, "JCIFS-NameServiceClient");
            thread.setDaemon(true);
            thread.start();
        }
    }

    void tryClose() {
        synchronized (LOCK) {

            /* Yes, there is the potential to drop packets

   * The particular nature and strength of the guarantees made by the proxy is
   * implementation-dependent. However, it is important that each of the methods on the target
   * object behaves appropriately when its thread is interrupted.
   *
   * <p>For example, to return the value of {@code target.someMethod()}, but substitute {@code
   * DEFAULT_VALUE} if this method call takes over 50 ms, you can use this code:
   *
   * <pre>

    .done(response -> { /* handle success */ })
    .error(throwable -> { /* handle error */ });
```

---

## Important Notes

### Thread Safety
- **Suggester**: Thread-safe for queries
- **SuggestIndexer**: Thread-safe for indexing
- **SuggestSettings**: NOT thread-safe for modifications

### Performance
- Use batch operations for indexing (100-500 items)
- Don't call `refresh()` too frequently

   * As such, this field must be cleared before every map mutation.
   *
   * Note about volatile: volatile doesn't make it safe to read from a mutable graph in one thread
   * while writing to it in another. All it does is help with _reading_ from multiple threads
   * concurrently. For more information, see AbstractNetworkTest.concurrentIteration.
   */
  private transient volatile @Nullable Entry<K, V> cacheEntry;

        @Test
        @DisplayName("Should handle received notification")
        void testReceived() throws InterruptedException {
            CountDownLatch latch = new CountDownLatch(1);

            Thread waiter = new Thread(() -> {
                synchronized (response) {
                    try {
                        if (!response.isReceived()) {
                            response.wait(1000);
                        }

                    smbComTreeDisconnect.toString();
                }
            });
            threads[i].start();
        }

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

        // Then - no exceptions should have been thrown
        assertTrue(true); // If we reach here, no exceptions occurred