buckets, _ := z.ListBuckets(ctx, BucketOptions{})
	// Buckets data are dispersed in multiple pools/sets, make
	// sure to heal all bucket metadata configuration.
	buckets = append(buckets, BucketInfo{
		Name: pathJoin(minioMetaBucket, minioConfigPrefix),
	}, BucketInfo{
		Name: pathJoin(minioMetaBucket, bucketMetaPrefix),
	})

	// Heal latest buckets first.

		Cache: make(map[string]dataUsageEntry, len(oldCache.Cache)),
	}

	// Put all buckets into channel.
	bucketCh := make(chan BucketInfo, len(buckets))

	// Shuffle buckets to ensure total randomness of buckets, being scanned.
	// Otherwise same set of buckets get scanned across erasure sets always.
	// at any given point in time. This allows different buckets to be scanned
	// in different order per erasure set, this wider spread is needed when

		&metrics.HistogramOpts{
			Subsystem:      SchedulerSubsystem,
			Name:           "scheduling_attempt_duration_seconds",
			Help:           "Scheduling attempt latency in seconds (scheduling algorithm + binding)",
			Buckets:        metrics.ExponentialBuckets(0.001, 2, 15),
			StabilityLevel: metrics.STABLE,
		}, []string{"result", "profile"})
	SchedulingAlgorithmLatency = metrics.NewHistogram(
		&metrics.HistogramOpts{

			if err != nil {
				err = msgp.WrapError(err, "Buckets")
				return
			}
			if cap(z.Buckets) >= int(zb0002) {
				z.Buckets = (z.Buckets)[:zb0002]
			} else {
				z.Buckets = make([]string, zb0002)
			}
			for za0001 := range z.Buckets {
				z.Buckets[za0001], err = dc.ReadString()
				if err != nil {
					err = msgp.WrapError(err, "Buckets", za0001)
					return
				}
			}
		case "rbs":

	now := time.Now()
	for idx := range z.serverPools {
		r.PoolStats[idx] = &rebalanceStats{
			Buckets:           make([]string, len(buckets)),
			RebalancedBuckets: make([]string, 0, len(buckets)),
			InitFreeSpace:     diskStats[idx].AvailableSpace,
			InitCapacity:      diskStats[idx].TotalSpace,
		}
		copy(r.PoolStats[idx].Buckets, buckets)

   */
  public static int consistentHash(HashCode hashCode, int buckets) {
    return consistentHash(hashCode.padToLong(), buckets);
  }

  /**
   * Assigns to {@code input} a "bucket" in the range {@code [0, buckets)}, in a uniform manner that
   * minimizes the need for remapping as {@code buckets} grows. That is, {@code consistentHash(h,
   * n)} equals:
   *
   * <ul>

            for (Attribute<?> attribute : buckets.providedAttributes) {
                rows.add(createProvidedRow(attributes, selected, attribute));
            }
            for (Map.Entry<Attribute<?>, AttributeMatchDetails> entry : buckets.bothAttributes.entrySet()) {
                rows.add(createMatchBasedRow(attributes, selected, entry));
            }
            for (Attribute<?> attribute : buckets.requestedAttributes) {

func (er *erasureObjects) healErasureSet(ctx context.Context, buckets []string, tracker *healingTracker) error {
	scanMode := madmin.HealNormalScan

	// Make sure to copy since `buckets slice`
	// is modified in place by tracker.
	healBuckets := make([]string, len(buckets))
	copy(healBuckets, buckets)

	objAPI := newObjectLayerFn()
	if objAPI == nil {
		return errServerNotInitialized
	}

## Highlights

- Supports source and destination buckets to have the same name unlike AWS S3, addresses variety of usecases such as *Splunk*, *Veeam* site to site DR.
- Supports object locking/retention across source and destination buckets natively out of the box, unlike AWS S3.

   */
  public static int consistentHash(HashCode hashCode, int buckets) {
    return consistentHash(hashCode.padToLong(), buckets);
  }

  /**
   * Assigns to {@code input} a "bucket" in the range {@code [0, buckets)}, in a uniform manner that
   * minimizes the need for remapping as {@code buckets} grows. That is, {@code consistentHash(h,
   * n)} equals:
   *
   * <ul>