new Service() {
          final NoOpService delegate = new NoOpService();

          @Override
          public final void addListener(Listener listener, Executor executor) {
            service1.startAsync();
            delegate.addListener(listener, executor);
          }

          // Delegates from here on down
          @Override
          public final Service startAsync() {

import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.ConcurrentNavigableMap;
import java.util.concurrent.ConcurrentSkipListMap;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.Executor;
import java.util.concurrent.LinkedBlockingDeque;
import java.util.concurrent.ScheduledThreadPoolExecutor;
import java.util.concurrent.ThreadFactory;
import java.util.concurrent.ThreadPoolExecutor;

```
./bin/spark-submit --class org.apache.spark.examples.SparkPi \
    --master yarn-client \
    --num-executors 1 \
    --driver-memory 512m \
    --executor-memory 512m \
    --executor-cores 1 \
    examples/jars/spark-examples*.jar 10
```

The job should produce an output as shown below. Note the value of pi in the output.

```

      get() = originalRequest

    val call: RealCall
      get() = this@RealCall

    /**
     * Attempt to enqueue this async call on [executorService]. This will attempt to clean up
     * if the executor has been shut down by reporting the call as failed.
     */
    fun executeOn(executorService: ExecutorService) {
      client.dispatcher.assertThreadDoesntHoldLock()

      var success = false
      try {

    addEdge(5, 6, "baz");

    int threadCount = 20;
    ExecutorService executor = newFixedThreadPool(threadCount);
    final CyclicBarrier barrier = new CyclicBarrier(threadCount);
    ImmutableList.Builder<Future<?>> futures = ImmutableList.builder();
    for (int i = 0; i < threadCount; i++) {
      futures.add(
          executor.submit(
              new Callable<@Nullable Void>() {
                @Override

        .connectionPool(
          buildConnectionPool(
            connectionListener = connectionListener,
            taskRunner = taskRunner,
          ),
        )
        .dispatcher(Dispatcher(backend.executor))
        .taskRunnerInternal(taskRunner)
    } else {
      OkHttpClient.Builder()
        .connectionPool(ConnectionPool(connectionListener = connectionListener))
    }

import java.util.concurrent.BlockingQueue;
import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.ConcurrentNavigableMap;
import java.util.concurrent.DelayQueue;
import java.util.concurrent.Executor;
import java.util.concurrent.PriorityBlockingQueue;
import java.util.concurrent.SynchronousQueue;
import java.util.concurrent.ThreadFactory;
import java.util.concurrent.TimeUnit;

import java.util.concurrent.CancellationException;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutionException;

/**
 * Unit tests for {@link Futures#transformAsync(ListenableFuture, AsyncFunction, Executor)}.
 *
 * @author Nishant Thakkar
 */
public class FuturesTransformAsyncTest extends AbstractChainedListenableFutureTest<String> {
  protected static final int SLOW_OUTPUT_VALID_INPUT_DATA = 2;

import java.util.concurrent.CancellationException;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutionException;

/**
 * Unit tests for {@link Futures#transformAsync(ListenableFuture, AsyncFunction, Executor)}.
 *
 * @author Nishant Thakkar
 */
public class FuturesTransformAsyncTest extends AbstractChainedListenableFutureTest<String> {
  protected static final int SLOW_OUTPUT_VALID_INPUT_DATA = 2;

* **Starlette**:
    * Tendrá el siguiente mejor desempeño, después de Uvicorn. De hecho, Starlette usa Uvicorn para correr. Por lo tanto, probablemente sólo pueda volverse "más lento" que Uvicorn al tener que ejecutar más código.