Test the Spark installation by running the following compute intensive example, which calculates pi by “throwing darts” at a circle. The program generates points in the unit square ((0,0) to (1,1)) and counts how many points fall within the unit circle within the square. The result approximates pi.

Follow these steps to run the Spark Pi example:

- Login as user **‘spark’**.

   * entire stream. To avoid a potentially expensive operation, see {@link #lengthIfKnown}.
   *
   * <p>The default implementation calls {@link #lengthIfKnown} and returns the value if present. If
   * absent, it will fall back to a heavyweight operation that will open a stream, {@link
   * Reader#skip(long) skip} to the end of the stream, and return the total number of chars that
   * were skipped.
   *

            throw new UnknownHostException(name.name);
        }

        /*
         * If a target address to query was not specified explicitly
         * with the addr parameter we fall into this resolveOrder routine.
         */

        for ( ResolverType resolverType : this.resolveOrder ) {
            try {
                switch ( resolverType ) {
                case RESOLVER_LMHOSTS:

* Bei `PUT`-Anfragen an `/items/{item_id}` den Body als JSON lesen:
    * Prüfen, ob er ein erforderliches Attribut `name` hat, das ein `str` sein muss.
    * Prüfen, ob er ein erforderliches Attribut `price` hat, das ein `float` sein muss.
    * Prüfen, ob er ein optionales Attribut `is_offer` hat, das ein `bool` sein muss, falls vorhanden.

   *       </ul>
   *   <li>another java.util.Set delegate implementation. In most modern JDKs, normal java.util hash
   *       collections intelligently fall back to a binary search tree if hash table collisions are
   *       detected. Rather than going to all the trouble of reimplementing this ourselves, we
   *       simply switch over to use the JDK implementation wholesale if probable hash flooding is

		if err1 == err || errors.Is(err1, err) {
			i++
		}
	}
	return i
}

// Does all errors indicate we need to initialize all disks?.
func shouldInitErasureDisks(errs []error) bool {
	return countErrs(errs, errUnformattedDisk) == len(errs)
}

// Check if unformatted disks are equal to 50%+1 of all the drives.
func quorumUnformattedDisks(errs []error) bool {

@ElementTypesAreNonnullByDefault
@SuppressWarnings("Java7ApiChecker")
/*
 * Users will use most of these methods only if they're already using Stream. For a few other
 * methods, like stream(Iterable), we have to rely on users not to call them without library
 * desugaring.
 */
@IgnoreJRERequirement
public final class Streams {
  /**
   * Returns a sequential {@link Stream} of the contents of {@code iterable}, delegating to {@link

herself in a long, low hall, which was lit up by a row of lamps
hanging from the roof.

  There were doors all round the hall, but they were all locked;
and when Alice had been all the way down one side and up the
other, trying every door, she walked sadly down the middle,
wondering how she was ever to get out again.

  Suddenly she came upon a little three-legged table, all made of

	client kube.CLIClient, writer io.Writer, browser bool,
) error {
	// port preference:
	// - If --listenPort is specified, use it
	// - without --listenPort, prefer the remotePort but fall back to a random port
	var portPrefs []int
	if listenPort != 0 {
		portPrefs = []int{listenPort}
	} else {
		portPrefs = []int{remotePort, 0}
	}

	var err error
	for _, localPort := range portPrefs {

   * iterable supports it. Note that it is <i>not</i> possible to delete the last skipped element by
   * immediately calling {@code remove()} on that iterator, as the {@code Iterator} contract states
   * that a call to {@code remove()} before a call to {@code next()} will throw an {@link
   * IllegalStateException}.
   *
   * <p><b>{@code Stream} equivalent:</b> {@link Stream#skip}
   *
   * @since 3.0
   */