* Eine gemeinsame Logik haben (die gleiche Code-Logik immer und immer wieder).
* Datenbankverbindungen teilen.
* Sicherheit, Authentifizierung, Rollenanforderungen, usw. durchsetzen.
* Und viele andere Dinge ...

All dies, während Sie Codeverdoppelung minimieren.

## Erste Schritte

Sehen wir uns ein sehr einfaches Beispiel an. Es ist so einfach, dass es vorerst nicht sehr nützlich ist.

	// DisableNestedTransaction disable nested transaction
	DisableNestedTransaction bool
	// AllowGlobalUpdate allow global update
	AllowGlobalUpdate bool
	// QueryFields executes the SQL query with all fields of the table
	QueryFields bool
	// CreateBatchSize default create batch size
	CreateBatchSize int
	// TranslateError enabling error translation
	TranslateError bool

      checkNotNull(value);
      checkArgument(!range.isEmpty(), "Range must not be empty, but was %s", range);
      entries.add(immutableEntry(range, value));
      return this;
    }

    /** Copies all associations from the specified range map into this builder. */
    @CanIgnoreReturnValue
    public Builder<K, V> putAll(RangeMap<K, ? extends V> rangeMap) {

/**
 * A reference queue with an associated background thread that dequeues references and invokes
 * {@link FinalizableReference#finalizeReferent()} on them.
 *
 * <p>Keep a strong reference to this object until all of the associated referents have been
 * finalized. If this object is garbage collected earlier, the backing thread will not invoke {@code
 * finalizeReferent()} on the remaining references.
 *

   * concat(new boolean[] {a, b}, new boolean[] {}, new boolean[] {c}} returns the array {@code {a,
   * b, c}}.
   *
   * @param arrays zero or more {@code boolean} arrays
   * @return a single array containing all the values from the source arrays, in order
   * @throws IllegalArgumentException if the total number of elements in {@code arrays} does not fit
   *     in an {@code int}
   */

            }

            if ( this.isDfs() && !"IPC".equals(svc) && !"IPC$".equals(this.share) && request instanceof RequestWithPath ) {
                /*
                 * When DFS is in action all request paths are
                 * full UNC paths minus the first backslash like
                 * \server\share\path\to\file
                 * as opposed to normally
                 * \path\to\file

    return bimap;
  }

  static final class BiEntry<K extends @Nullable Object, V extends @Nullable Object>
      extends ImmutableEntry<K, V> {
    final int keyHash;
    final int valueHash;

    // All BiEntry instances are strongly reachable from owning HashBiMap through
    // "HashBiMap.hashTableKToV" and "BiEntry.nextInKToVBucket" references.
    // Under that assumption, the remaining references can be safely marked as @Weak.

   * concat(new boolean[] {a, b}, new boolean[] {}, new boolean[] {c}} returns the array {@code {a,
   * b, c}}.
   *
   * @param arrays zero or more {@code boolean} arrays
   * @return a single array containing all the values from the source arrays, in order
   * @throws IllegalArgumentException if the total number of elements in {@code arrays} does not fit
   *     in an {@code int}
   */

   * this is translated to throttling time is discussed later). Immediately after, assume that an
   * acquire(10) request arriving. We serve the request partly from storedPermits, using all the
   * remaining 7.0 permits, and the remaining 3.0, we serve them by fresh permits produced by the
   * rate limiter.
   *
   * We already know how much time it takes to serve 3 fresh permits: if the rate is

	"github.com/minio/minio/internal/crypto"
	"github.com/minio/minio/internal/kms"
)

const (
	defaultHealthCheckDuration = 5 * time.Second
	// default interval for reload of all remote target endpoints
	defaultHealthCheckReloadDuration = 30 * time.Minute
)

type arnTarget struct {
	Client      *TargetClient
	lastRefresh time.Time
}