}

var (
	// {minio_node}_{tier}_{ttlb_seconds_distribution}
	tierTTLBMD = MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: tierSubsystem,
		Name:      ttlbDistribution,
		Help:      "Distribution of time to last byte for objects downloaded from warm tier",
		Type:      gaugeMetric,
	}

	// {minio_node}_{tier}_{requests_success}
	tierRequestsSuccessMD = MetricDescription{
		Namespace: nodeMetricNamespace,

 * the components to explicitly register with one another (and thus be aware of each other). It is
 * designed exclusively to replace traditional Java in-process event distribution using explicit
 * registration. It is not a general-purpose publish-subscribe system, nor is it intended
 * for interprocess communication.
 *
 * <h2>Receiving Events</h2>
 *

	// large disk setups.
	endpointStrings []string

	// Total number of sets and the number of disks per set.
	setCount, setDriveCount int
	defaultParityCount      int

	poolIndex int

	// Distribution algorithm of choice.
	distributionAlgo string
	deploymentID     [16]byte

	lastConnectDisksOpTime time.Time
}

var staleUploadsCleanupIntervalChangedCh = make(chan struct{})

## **2. Prerequisites**

- Install Hortonworks Distribution using this [guide.](https://docs.hortonworks.com/HDPDocuments/Ambari-2.7.1.0/bk_ambari-installation/content/ch_Installing_Ambari.html)

 * amortized) constant time operations. Expected in the hashtable sense (depends on the hash
 * function doing a good job of distributing the elements to the buckets to a distribution not far
 * from uniform), and amortized since some operations can trigger a hash table resize.
 *
 * <p>Unlike {@code java.util.HashMap}, iteration is only proportional to the actual {@code size()},

   * population, this is an estimator of the population standard deviation of the population which
   * is less biased than {@link #populationStandardDeviation()} (the unbiased estimator depends on
   * the distribution). The count must be greater than one.
   *
   * <p>This is not guaranteed to return zero when the dataset consists of the same value multiple

## Dependencies

### Added
- github.com/distribution/reference: [v0.5.0](https://github.com/distribution/reference/tree/v0.5.0)

### Changed
- github.com/coredns/corefile-migration: [v1.0.20 → v1.0.21](https://github.com/coredns/corefile-migration/compare/v1.0.20...v1.0.21)
- github.com/docker/distribution: [v2.8.2+incompatible → v2.8.1+incompatible](https://github.com/docker/distribution/compare/v2.8.2...v2.8.1)

          </association>
        </field>
        <field xdoc.separator="blank">
          <name>distributionManagement</name>
          <version>4.0.0+</version>
          <description>Distribution information for a project that enables deployment of the site
            and artifacts to remote web servers and repositories respectively.</description>
          <association>
            <type>DistributionManagement</type>

          "intervalFactor": 1,
          "legendFormat": "{{range}}",
          "refId": "A",
          "step": 300,
          "useBackend": false
        }
      ],
      "title": "Object Size Distribution",
      "type": "bargauge"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "description": "",
      "fieldConfig": {

			actualSha256 := actualH.Sum(nil)

			z := obj.(*erasureServerPools)
			er := z.serverPools[0].getHashedSet(object)

			disks := er.getDisks()
			distribution := hashOrder(pathJoin(bucket, object), nDisks)
			shuffledDisks := shuffleDisks(disks, distribution)

			// remove last data shard
			err = removeAll(pathJoin(shuffledDisks[11].String(), bucket, object))
			if err != nil {