func (p *xlStorageDiskIDCheck) ReadMultiple(ctx context.Context, req ReadMultipleReq, resp chan<- ReadMultipleResp) (err error) {
	ctx, done, err := p.TrackDiskHealth(ctx, storageMetricReadMultiple, req.Bucket, req.Prefix)
	if err != nil {
		xioutil.SafeClose(resp)
		return err
	}
	defer done(0, &err)

	return p.storage.ReadMultiple(ctx, req, resp)
}

   * the segment.
   */
  final int segmentMask;

  /**
   * Shift value for indexing within segments. Helps prevent entries that end up in the same segment
   * from also ending up in the same bucket.
   */
  final int segmentShift;

  /** The segments, each of which is a specialized hash table. */
  final Segment<K, V>[] segments;

  /** The concurrency level. */
  final int concurrencyLevel;

labels.notification_login=Inlogpagina
labels.notification_search_top=Zoek startpagina
labels.storage_endpoint=Eindpunt
labels.storage_access_key=Toegangssleutel
labels.storage_secret_key=Geheime sleutel
labels.storage_bucket=Bucket
labels.storage_type=Type
labels.storage_type_auto=Auto
labels.storage_type_s3=S3
labels.storage_type_gcs=GCS
labels.storage_region=Regio
labels.storage_project_id=Project-ID

  @J2ktIncompatible
  @GwtIncompatible // reflection
  @AndroidIncompatible // relies on assumptions about OpenJDK
  public void testNewHashMapWithExpectedSize_wontGrow() throws Exception {
    // before jdk7u40: creates one-bucket table
    // after  jdk7u40: creates empty table
    assertThat(bucketsOf(Maps.newHashMapWithExpectedSize(0))).isAtMost(1);

    for (int size = 1; size < 200; size++) {
      assertWontGrow(
          size,

- Fix handling tombstones in pod-disruption-budged controller. ([#83951](https://github.com/kubernetes/kubernetes/pull/83951), [@zouyee](https://github.com/zouyee))

   * the segment.
   */
  final int segmentMask;

  /**
   * Shift value for indexing within segments. Helps prevent entries that end up in the same segment
   * from also ending up in the same bucket.
   */
  final int segmentShift;

  /** The segments, each of which is a specialized hash table. */
  final Segment<K, V>[] segments;

  /** The concurrency level. */
  final int concurrencyLevel;

	"io"
	"math/rand"
	"os"
	"reflect"
	"sort"
	"testing"
	"time"

	"github.com/google/uuid"
	"github.com/klauspost/compress/zip"
	"github.com/klauspost/compress/zstd"
	"github.com/minio/minio/internal/bucket/lifecycle"
	xhttp "github.com/minio/minio/internal/http"
)

func TestReadXLMetaNoData(t *testing.T) {
	f, err := os.Open("testdata/xl.meta-corrupt.gz")
	if err != nil {
		t.Fatal(err)
	}
	defer f.Close()

つい最近まで、ほとんどの銀行には複数の窓口係 👨‍💼👨‍💼👨‍💼👨‍💼 と長い行列 🕙🕙🕙🕙🕙🕙🕙🕙 がありました。

各窓口係が、一人ずつ、すべての作業を順番に行います 👨‍💼⏯。

そして、長時間 🕙 行列で待たなければ順番を失います。

銀行の用事 🏦 に、好きな人 😍 を連れて行きたいとは思わないでしょう。

### ハンバーガーのまとめ { #burger-conclusion }

この「好きな人とファストフード」のシナリオでは、待ち時間 🕙 が多いため、並行システム ⏸🔀⏯ を使う方がはるかに理にかなっています。

これは、ほとんどの Web アプリケーションにも当てはまります。

とても多くのユーザーがいますが、サーバは彼らのあまり速くない回線からリクエストが届くのを待ち 🕙、

その後、レスポンスが戻ってくるのをまた待ちます 🕙。

모든 은행원이 한 고객씩 순서대로 모든 일을 처리합니다 👨‍💼⏯.

그리고 여러분은 오랫동안 줄에서 기다려야 🕙 하며, 그렇지 않으면 차례를 잃습니다.

아마 은행 🏦 업무를 보러 갈 때 짝사랑 상대 😍 를 데려가고 싶지는 않을 것입니다.

### 햄버거 예시의 결론 { #burger-conclusion }

"짝사랑 상대와의 패스트푸드점 햄버거" 시나리오에서는 기다림 🕙 이 많기 때문에, 동시 시스템 ⏸🔀⏯ 을 사용하는 것이 훨씬 더 합리적입니다.

대부분의 웹 애플리케이션이 그렇습니다.

매우 많은 사용자들이 있고, 서버는 그들의 좋지 않은 연결을 통해 요청이 전송되기를 기다립니다 🕙.

그리고 응답이 돌아오기를 다시 기다립니다 🕙.

 *
 *  * http://host:80/
 *
 *  * http://host
 *
 * Both the unnecessary port specification (`:80`) and the absent trailing slash (`/`) cause URI to
 * bucket the two URLs separately. This harms URI's usefulness in collections. Any application that
 * stores information-per-URL will need to either canonicalize manually, or suffer unnecessary
 * redundancy for such URLs.
 *