### Parallel Hamburgerler

Şimdi bunların "Eşzamanlı Hamburger" değil, "Paralel Hamburger" olduğunu düşünelim.

Hamburger 🍔 almak için 😍 aşkınla Paralel fast food'a gidiyorsun.

  static final String ERROR_ADDED_SELF_LOOP = "Should not be allowed to add a self-loop edge.";
  static final String ERROR_ADDED_PARALLEL_EDGE = "Should not be allowed to add a parallel edge.";
  static final String ERROR_ADDED_EXISTING_EDGE =
      "Reusing an existing edge to connect different nodes succeeded";

  /** Creates and returns an instance of the graph to be tested. */

        }
        return availableSearchers;
    }

    /**
     * Performs concurrent searches using multiple searchers and fuses the results.
     * Executes searches in parallel across all provided searchers, then combines the results
     * using rank fusion algorithms to produce a unified result set.
     *
     * @param searchers array of searchers to use for concurrent searching

    ```

    **Note:** You can add `--test_sharding_strategy=disabled` to the `flags` to
    disable the sharding so that all the test outputs are in one file. However,
    it may slow down the tests for not running in parallel and may cause the
    test to timeout but it could be useful when you need to execute a single
    test or more in general your filtered/selected tests have a very low
    execution time and the sharding

		if errors.Is(err, errDriveIsRoot) {
			// This is a root drive, ignore and move on
			return nil
		}
		if !errors.Is(err, errUnformattedDisk) {
			return err
		}
	}

	// Prevent parallel erasure set healing
	locker := z.NewNSLock(minioMetaBucket, fmt.Sprintf("new-drive-healing/%d/%d", poolIdx, setIdx))
	lkctx, err := locker.GetLock(ctx, newDiskHealingTimeout)
	if err != nil {

}

// BenchmarkPutObject50MbErasure - Benchmark Erasure.PutObject() for object size of 50MB.
func BenchmarkPutObject50MbErasure(b *testing.B) {
	benchmarkPutObject(b, "Erasure", 50*humanize.MiByte)
}

// parallel benchmarks for ObjectLayer.PutObject() .

// BenchmarkParallelPutObjectVerySmallFS - BenchmarkParallel FS.PutObject() for object size of 10 bytes.
func BenchmarkParallelPutObjectVerySmallFS(b *testing.B) {

        thumbnailQueueBhv.batchInsert(list);
    }

    /**
     * Generates thumbnails using the provided executor service.
     *
     * @param executorService the executor service for parallel processing
     * @param cleanup whether to run in cleanup mode
     * @return the number of tasks processed
     */
    public int generate(final ExecutorService executorService, final boolean cleanup) {

	g := errgroup.WithNErrs(len(disks))

	// Start writing `xl.meta` to all disks in parallel.
	for index := range disks {
		g.Go(func() error {
			if disks[index] == nil {
				return errDiskNotFound
			}
			// Pick one FileInfo for a disk at index.
			fi := files[index]

    }

    /**
     * Executes the actual crawling operations based on the provided options.
     * This method coordinates web/file system crawling and data store crawling,
     * running them in parallel threads when multiple types are requested.
     *
     * @param options crawling configuration options
     * @return exit code (Constants.EXIT_OK for success, Constants.EXIT_FAIL for failure)
     */

Vorab-Schritte ausführt, *auch* wenn Sie anschließend **mehrere Prozesse** (mehrere Worker) für die Anwendung selbst starten. Wenn diese Schritte von **mehreren Prozessen** ausgeführt würden, würden diese die Arbeit **verdoppeln**, indem sie sie **parallel** ausführen, und wenn es sich bei den Schritten um etwas Delikates wie eine Datenbankmigration handelt, könnte das miteinander Konflikte verursachen.

Natürlich gibt es Fälle, in denen es kein Problem darstellt, die Vorab-Schritte mehrmals...