func (r *metacacheReader) readAll(ctx context.Context, dst chan<- metaCacheEntry) error {
	r.checkInit()
	if r.err != nil {
		return r.err
	}
	defer xioutil.SafeClose(dst)
	if r.current.name != "" {
		select {
		case <-ctx.Done():
			r.err = ctx.Err()
			return ctx.Err()
		case dst <- r.current:
		}
		r.current.name = ""
		r.current.metadata = nil
	}
	for {
		if more, err := r.mr.ReadBool(); !more {

	s := SRStats{
		M:               make(map[string]*SRStatus),
		movingAvgTicker: time.NewTicker(time.Second * 2),
	}
	go s.trackEWMA()
	return &s
}

func (sr *SRStats) trackEWMA() {
	for {
		select {
		case <-sr.movingAvgTicker.C:
			sr.updateMovingAvg()
		case <-GlobalContext.Done():
			return
		}
	}
}

func (sr *SRStats) updateMovingAvg() {
	sr.lock.Lock()
	defer sr.lock.Unlock()

func (m metacache) keepAlive(ctx context.Context, rpc *peerRESTClient) {
	// we intentionally operate on a copy of m, so we can update without locks.
	t := time.NewTicker(metacacheMaxClientWait / 10)
	defer t.Stop()
	for {
		select {
		case <-ctx.Done():
			// Request is done, stop updating.
			return
		case <-t.C:
			m.lastHandout = time.Now()

			if m2, err := rpc.UpdateMetacacheListing(ctx, m); err == nil {

type writerWrapper struct {
	ch  chan<- []byte
	ctx context.Context
}

func (w *writerWrapper) Write(p []byte) (n int, err error) {
	buf := GetByteBufferCap(len(p))
	buf = buf[:len(p)]
	copy(buf, p)
	select {
	case w.ch <- buf:
		return len(p), nil
	case <-w.ctx.Done():
		return 0, context.Cause(w.ctx)
	}
}

// WriterToChannel will return an io.Writer that writes to the given channel.

						offlineEndpoints = append(offlineEndpoints, fmt.Errorf("%s is unreachable: %w", clnt, err))
					}
				} else {
					onlineServers++
				}
				mu.Unlock()
			}(clnt)
		}
		wg.Wait()

		select {
		case <-ctx.Done():
			return ctx.Err()
		default:
			// Sleep and stagger to avoid blocked CPU and thundering
			// herd upon start up sequence.

		}
	}
	return &m
}

// save in-memory stats to disk
func (sm *siteResyncMetrics) save(ctx context.Context) {
	sTimer := time.NewTimer(siteResyncSaveInterval)
	defer sTimer.Stop()
	for {
		select {
		case <-sTimer.C:
			if globalSiteReplicationSys.isEnabled() {
				sm.Lock()
				wg := sync.WaitGroup{}
				for dID, rs := range sm.peerResyncMap {
					st, ok := sm.resyncStatus[rs.resyncID]
					if ok {

The main difference between various MinIO-KMS deployments is the KMS implementation. The following table helps you select the right option for your use case:

| KMS                                                                                          | Purpose                                                           |

//     affects read from source, block, file, dedup, and object storage backup targets for a specific Veeam Job. When customers
//     create a new backup job and select the object storage or a SOBR as a backup target with this setting, the job default
//     setting will be set to this value. This setting will be only applied to newly created jobs (manual changes with Active Full

	if db.Statement.Schema != nil {
		for _, c := range db.Statement.Schema.QueryClauses {
			db.Statement.AddClause(c)
		}
	}

	if db.Statement.SQL.Len() == 0 {
		db.Statement.SQL.Grow(100)
		clauseSelect := clause.Select{Distinct: db.Statement.Distinct}

		if db.Statement.ReflectValue.Kind() == reflect.Struct && db.Statement.ReflectValue.Type() == db.Statement.Schema.ModelType {
			var conds []clause.Expression

### IntelliJ IDEA

#### Import Gradle into IntelliJ

To import Gradle into IntelliJ:
- Open the `build.gradle.kts` file in root of the project with IntelliJ and choose "Open as Project"
- Select a Adoptium Java 17 VM as "Gradle JVM"
- Revert the Git changes to files in the `.idea` folder