if sterr == nil && st.Mode().IsRegular() {
				return errFileNotFound
			}
		}
	}

	prefix := opts.FilterPrefix
	var scanDir func(path string) error

	scanDir = func(current string) error {
		if contextCanceled(ctx) {
			return ctx.Err()
		}
		if opts.Limit > 0 && objsReturned >= opts.Limit {
			return nil
		}

	scannerExcessFolders                 = uatomic.NewInt64(50000)
)

// initDataScanner will start the scanner in the background.
func initDataScanner(ctx context.Context, objAPI ObjectLayer) {
	go func() {
		r := rand.New(rand.NewSource(time.Now().UnixNano()))
		// Run the data scanner in a loop
		for {
			runDataScanner(ctx, objAPI)
			duration := max(time.Duration(r.Float64()*float64(scannerCycle.Load())),

	scannerMetricScanBucketDrive // Single bucket on one drive
	scannerMetricCompactFolder   // Folder compacted.

	// Must be last:
	scannerMetricLast
)

// log scanner action.
// Use for s > scannerMetricStartTrace
func (p *scannerMetrics) log(s scannerMetric, paths ...string) func(custom map[string]string) {
	startTime := time.Now()
	return func(custom map[string]string) {

	t.Skip("Unstable test")
	data := []byte("abcdefghijklmnopqrstuvwxyz0123456789")

	var i int
	r := bytes.NewReader(data)
	scanner := newScanner(r)
	for scanner.pos < atomic.LoadInt64(&scanner.end) {
		c := scanner.next()
		if scanner.readerErr != nil {
			t.Fatal(scanner.readerErr)
		}
		if c != data[i] {
			t.Fatalf("expected %s, got %s", string(data[i]), string(c))
		}

usage calculation. The scanner adapts to the system speed and completely pauses when the system is under load. It is possible to adjust the speed of the scanner and thereby the latency of updates being reflected. The delays between each operation of the scanner can be adjusted by the `mc admin config set alias/ delay=15.0`. By default the value is `10.0`. This means the scanner will sleep *10x* the time each operation takes.

In most setups this will keep the scanner slow enough to not impact...

		return nil
	}

	// Collect disks we can use.
	disks, healing := er.getOnlineDisksWithHealing(false)
	if len(disks) == 0 {
		scannerLogIf(ctx, errors.New("data-scanner: all drives are offline or being healed, skipping scanner cycle"))
		return nil
	}

	// Load bucket totals
	oldCache := dataUsageCache{}
	if err := oldCache.load(ctx, er, dataUsageCacheName); err != nil {
		return err
	}

		} else {
			globalBatchConfig.Update(batchCfg)
		}
	case config.ScannerSubSys:
		scannerCfg, err := scanner.LookupConfig(s[config.ScannerSubSys][config.Default])
		if err != nil {
			errs = append(errs, fmt.Errorf("Unable to apply scanner config: %w", err))
		} else {
			// update dynamic scanner values.
			scannerIdleMode.Store(scannerCfg.IdleMode)
			scannerCycle.Store(scannerCfg.Cycle)

	DB.Migrator().DropTable(adaptorSerializerModel(&SerializerStruct{}))
	if err := DB.Migrator().AutoMigrate(adaptorSerializerModel(&SerializerStruct{})); err != nil {
		t.Fatalf("no error should happen when migrate scanner, valuer struct, got error %v", err)
	}

	createdAt := time.Date(2020, 1, 1, 0, 0, 0, 0, time.UTC)
	updatedAt := createdAt.Unix()

	data := SerializerStruct{
		Name:            []byte("jinzhu"),

## Implementation

ILM tiering takes place when a object placed in the bucket meets lifecycle transition rules and becomes eligible for tiering. MinIO scanner (which runs at one minute intervals, each time scanning one sixteenth of the namespace), picks up the object for tiering. The data is moved to the remote tier in entirety, leaving only the object metadata on MinIO.

		return nil, err
	}
	defer file.Close()
	return parseMountFrom(file)
}

func parseMountFrom(file io.Reader) (mountInfos, error) {
	mounts := mountInfos{}
	scanner := bufio.NewReader(file)
	for {
		line, err := scanner.ReadString('\n')
		if err == io.EOF {
			break
		}

		fields := strings.Fields(line)
		if len(fields) != expectedNumFieldsPerLine {
			// ignore incorrect lines.