* </p>
 *
 * <p>
 * The class is a singleton, and is injected using the {@link Resource} annotation.
 * </p>
 *
 */
public class DataServiceImpl implements DataService<AccessResultImpl<Long>> {

    /** Counter for generating unique IDs */
    protected static volatile long idCount = 0L;

    /** Lock object for synchronizing access to idCount */
    private static Object idCountLock = new Object();

    * Si on compare FastAPI, il faut le comparer à d'autres frameworks web (ou ensemble d'outils) qui fournissent la validation des données, la sérialisation et la documentation, comme Flask-apispec, NestJS, Molten, etc....

        System.gc();
        Thread.sleep(200);

        // Check for leaks
        resourceManager.checkForLeaks();

        Map<String, Object> stats = resourceManager.getStatistics();
        // The leak counter may or may not increment depending on GC timing
        assertNotNull(stats.get("totalLeaks"));
    }

    private void createLeakyResource() {
        TestResource resource = new TestResource("leaky");

        .build(),
    )
    val asyncRequestBody: RequestBody =
      object : RequestBody() {
        var counter = 0

        override fun contentType() = null

        override fun writeTo(sink: BufferedSink) {
          counter++
          assertThat(counter).isLessThanOrEqualTo(1)
          sink.writeUtf8("Hello request!")
          sink.close()
        }

      val buffer = cursor.data
      var i = cursor.start
      val end = cursor.end
      if (buffer != null) {
        while (i < end) {
          keyIndex %= keyLength // Reassign to prevent overflow breaking counter.

          // Byte xor is experimental in Kotlin so we coerce bytes to int, xor them
          // and convert back to byte.
          val bufferInt: Int = buffer[i].toInt()

<img src="/img/tutorial/response-status-code/image02.png">

/// note | Technische Details

Sie könnten auch `from starlette import status` verwenden.

**FastAPI** bietet dieselben `starlette.status`-Codes auch via `fastapi.status` an, rein zu Ihrer Annehmlichkeit als Entwickler. Aber sie stammen direkt von Starlette.

///

   * exception is thrown, this exception is used as the result of the output {@code Future}.
   *
   * <p>Usage example:
   *
   * {@snippet :
   * // Falling back to a zero counter in case an exception happens when processing the RPC to fetch
   * // counters.
   * ListenableFuture<Integer> faultTolerantFuture =
   *     fetchCounters().catching(FetchException.class, x -> 0, directExecutor());
   * }

	listener      *httpListener // HTTP listener for all 'Addrs' field.
	inShutdown    uint32        // indicates whether the server is in shutdown or not
	requestCount  int32         // counter holds no. of request in progress.
}

// GetRequestCount - returns number of request in progress.
func (srv *Server) GetRequestCount() int {
	return int(atomic.LoadInt32(&srv.requestCount))
}

    protected Integer activeThreadCount = 0;

    /**
     * Lock object for synchronizing access to active thread count.
     */
    protected Object activeThreadCountLock = new Object();

    /**
     * Atomic counter for tracking the number of accesses made.
     */
    protected AtomicLong accessCount = new AtomicLong(0);

    /**
     * Current status of the crawler.
     */

/**
 * A helper which does some thread-safe operations for aggregate futures, which must be implemented
 * differently in GWT. Namely:
 *
 * <ul>
 *   <li>Lazily initializes a set of seen exceptions
 *   <li>Decrements a counter atomically
 * </ul>
 */
@GwtCompatible
@ReflectionSupport(value = ReflectionSupport.Level.FULL)
abstract class AggregateFutureState<OutputT extends @Nullable Object>
    extends AbstractFuture.TrustedFuture<OutputT> {