import okio.BufferedSource
import okio.Sink
import okio.Socket
import okio.Source
import okio.Timeout

/** A logical bidirectional stream. */
@Suppress("NAME_SHADOWING")
class Http2Stream internal constructor(
  val id: Int,
  val connection: Http2Connection,
  outFinished: Boolean,
  inFinished: Boolean,
  headers: Headers?,
) : Lockable,
  Socket {

# 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

public abstract interface class okhttp3/Connection {
	public abstract fun handshake ()Lokhttp3/Handshake;
	public abstract fun protocol ()Lokhttp3/Protocol;
	public abstract fun route ()Lokhttp3/Route;
	public abstract fun socket ()Ljava/net/Socket;
}

public final class okhttp3/ConnectionPool {
	public fun <init> ()V
	public fun <init> (IJLjava/util/concurrent/TimeUnit;)V
	public final fun connectionCount ()I
	public final fun evictAll ()V

			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},
		},

		}
	}
	restrictedClient := s.getUserClient(c, value.AccessKeyID, value.SecretAccessKey, value.SessionToken)

	buckets, err := restrictedClient.ListBuckets(ctx)
	if err != nil {
		c.Fatalf("err fetching buckets %s", err)
	}
	if len(buckets) != 2 || buckets[0].Name != "bucket1" || buckets[1].Name != "bucket2" {
		c.Fatalf("restricted STS account should only have access to bucket1 and bucket2")
	}

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.

// 2. `subsys:` -> request for config of a single subsystem and the default target.
// 3. `subsys` -> request for config of all targets for the given subsystem.
//
// This is a reporting API and config secrets are redacted in the response.
func (a adminAPIHandlers) GetConfigKVHandler(w http.ResponseWriter, r *http.Request) {
	ctx := r.Context()

	objectAPI, cred := validateAdminReq(ctx, w, r, policy.ConfigUpdateAdminAction)

}

// 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'
}

  int allocArrays() {
    Preconditions.checkState(needsAllocArrays(), "Arrays already allocated");

    int expectedSize = metadata;
    int buckets = CompactHashing.tableSize(expectedSize);
    this.table = CompactHashing.createTable(buckets);
    setHashTableMask(buckets - 1);

    this.entries = new int[expectedSize];
    this.keys = new Object[expectedSize];
    this.values = new Object[expectedSize];