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) {

name: OSV-Scanner Scheduled Scan

on:
  schedule:
    - cron: 0 4 * * 1

permissions:
  # Require writing security events to upload SARIF file to security tab
  security-events: write
  # Only need to read contents
  contents: read

jobs:
  scan-scheduled:
    if: github.repository == 'tensorflow/tensorflow'

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)

						}

						if valuer, ok := v.(driver.Valuer); ok {
							v, _ = valuer.Value()
						}

						err = fieldValue.Interface().(sql.Scanner).Scan(v)
					}
					return
				}
			} else if _, ok := fieldValue.Interface().(sql.Scanner); ok {
				// struct scanner
				field.Set = func(ctx context.Context, value reflect.Value, v interface{}) (err error) {
					reflectV := reflect.ValueOf(v)
					if !reflectV.IsValid() {

## 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.

for existing object replication are detected when scanner runs, and will be replicated if existing object replication is enabled and applicable replication rules are satisfied. Because replication depends on the immutability of versions, only pre-existing objects created while versioning was enabled can be replicated. Even if replication rules are disabled and re-enabled later, the objects created during the interim will be synced as the scanner queues them. For saving iops, objects qualifying for...

}

func scannerLogIf(ctx context.Context, err error, errKind ...any) {
	logger.LogIf(ctx, "scanner", err, errKind...)
}

func scannerLogOnceIf(ctx context.Context, err error, id string, errKind ...any) {
	logger.LogOnceIf(ctx, "scanner", err, id, errKind...)
}

func ilmLogIf(ctx context.Context, err error, errKind ...any) {
	logger.LogIf(ctx, "ilm", err, errKind...)
}