lse,\"showMetricsAtAllLevels\":false,\"sort\":{\"columnIndex\":null,\"direction\":null},\"showTotal\":false,\"totalFunc\":\"sum\",\"dimensions\":{\"metrics\":[{\"accessor\":0,\"format\":{\"id\":\"number\"},\"params\":{},\"aggType\":\"count\"}],\"buckets\":[]}},\"aggs\":[{\"id\":\"1\",\"enabled\":true,\"type\":\"count\",\"schema\":\"metric\",\"params\":{}},{\"id\":\"2\",\"enabled\":true,\"type\":\"terms\",\"schema\":\"bucket\",\"params\":{\"field\":\"searchWord\",\"order\":\"desc\",\"size\":5,\"o...

import java.util.AbstractMap.SimpleImmutableEntry;
import org.jspecify.annotations.Nullable;

/**
 * Implementation of {@code Entry} for {@link ImmutableMap} that adds extra methods to traverse hash
 * buckets for the key and the value. This allows reuse in {@link RegularImmutableMap} and {@link
 * RegularImmutableBiMap}, which don't have to recopy the entries created by their {@code Builder}
 * implementations.
 *

		// objects.
		// Therefore, we remember which objects (there index)
		// in the current batch are single-part SSE-S3 objects.
		metadata = metadata[:0:N]
		buckets = buckets[:0:N]
		names = names[:0:N]
		SSES3SinglePartObjects := make(map[int]bool)
		for i, object := range batch {
			if kind, ok := crypto.IsEncrypted(object.UserDefined); ok && kind == crypto.S3 && !crypto.IsMultiPart(object.UserDefined) {

         * The decoded name of the field.
         */
        protected String name;

        /**
         * Constructs a Field from OpenSearch Terms aggregation.
         * Decodes the field name and processes all term buckets to extract
         * field values and their document counts.
         *
         * @param termFacet the OpenSearch Terms aggregation containing field facet data
         */
        public Field(final Terms termFacet) {

	respCh chan healResult
}

// healResult represents a healing result with a possible error
type healResult struct {
	result madmin.HealResultItem
	err    error
}

// healRoutine receives heal tasks, to heal buckets, objects and format.json
type healRoutine struct {
	tasks   chan healTask
	workers int
}

func activeListeners() int {
	// Bucket notification and http trace are not costly, it is okay to ignore them

Transition tiers can be added to MinIO using `mc admin tier add` command to associate a `gcs`, `s3` or `azure` bucket or prefix path on a bucket to the tier name.
Lifecycle transition rules can be applied to buckets (both versioned and un-versioned) by specifying the tier name defined above as the transition storage class for the lifecycle rule.

## Implementation

			return
		}
		for _, dnsRecords := range dnsBuckets {
			buckets = append(buckets, BucketInfo{
				Name:    dnsRecords[0].Key,
				Created: dnsRecords[0].CreationDate,
			})
		}
		sort.Slice(buckets, func(i, j int) bool {
			return buckets[i].Name < buckets[j].Name
		})
	} else {
		buckets, err = objectAPI.ListBuckets(ctx, BucketOptions{Cached: true})
		if err != nil {

configured. Please refer to how to encrypt your config and IAM credentials [here](https://github.com/minio/minio/blob/master/docs/kms/IAM.md).

> NOTE: if *path_prefix* is set then MinIO will not federate your buckets, namespaced IAM assets are assumed as isolated tenants, only buckets are considered globally unique but performing a lookup with a *bucket* which belongs to a different tenant will fail unlike federated setups where MinIO would port-forward and route the request to relevant cluster...

			scannerLogOnceIf(ctx, err, dataUsageObjNamePath)
		}
		attempts++
	}
}

var prefixUsageCache = cachevalue.New[map[string]uint64]()

// loadPrefixUsageFromBackend returns prefix usages found in passed buckets
//
//	e.g.:  /testbucket/prefix => 355601334
func loadPrefixUsageFromBackend(ctx context.Context, objAPI ObjectLayer, bucket string) (map[string]uint64, error) {
	z, ok := objAPI.(*erasureServerPools)
	if !ok {

	usageDeleteMarkersCountMD = NewGaugeMD(usageDeleteMarkersCount,
		"Total cluster delete markers count")
	usageBucketsCountMD = NewGaugeMD(usageBucketsCount,
		"Total cluster buckets count")
	usageObjectsDistributionMD = NewGaugeMD(usageSizeDistribution,
		"Cluster object size distribution", "range")
	usageVersionsDistributionMD = NewGaugeMD(usageVersionCountDistribution,