* 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

        measureTime {
          val exception =
            assertFailsWith<IOException> {
              response.trailers()
            }
          assertThat(exception.message).isIn(
            "Socket closed", // HTTP/1.1
            "stream was reset: CANCEL", // HTTP/2
          )
        }
      assertThat(trailersDelay).isGreaterThan(250.milliseconds)
      assertThat(trailersDelay).isLessThan(750.milliseconds)

		// 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) {

# MinIO Batch Job
MinIO Batch jobs is an MinIO object management feature that lets you manage objects at scale. Jobs currently supported by MinIO

- Replicate objects between buckets on multiple sites

Upcoming Jobs

- Copy objects from NAS to MinIO
- Copy objects from HDFS to MinIO

## Replication Job
To perform replication via batch jobs, you create a job. The job consists of a job description YAML that describes

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 {

efficiently makes your stuff load faster and saves bandwidth.

OkHttp is an HTTP client that’s efficient by default:

 * HTTP/2 support allows all requests to the same host to share a socket.
 * Connection pooling reduces request latency (if HTTP/2 isn’t available).
 * Transparent GZIP shrinks download sizes.
 * Response caching avoids the network completely for repeat requests.

}

// MakeBucketOptions represents bucket options for ObjectLayer bucket operations
type MakeBucketOptions struct {
	LockEnabled       bool
	VersioningEnabled bool
	ForceCreate       bool      // Create buckets even if they are already created.
	CreatedAt         time.Time // only for site replication
	NoLock            bool      // does not lock the make bucket call if set to 'true'
}

			Help:    "Time taken by requests served by current MinIO server instance",
			Buckets: []float64{.05, .1, .25, .5, 1, 2.5, 5, 10},
		},
		[]string{"api"},
	)
	bucketHTTPRequestsDuration = prometheus.NewHistogramVec(
		prometheus.HistogramOpts{
			Name:    "s3_ttfb_seconds",
			Help:    "Time taken by requests served by current MinIO server instance per bucket",
			Buckets: []float64{.05, .1, .25, .5, 1, 2.5, 5, 10},
		},