# Learn more...
        # https://docs.github.com/en/github/finding-security-vulnerabilities-and-errors-in-your-code/configuring-code-scanning#overriding-automatic-language-detection

    steps:
    - name: Checkout repository
      uses: actions/checkout@v4

    # Initializes the CodeQL tools for scanning.
    - name: Initialize CodeQL
      uses: github/codeql-action/init@v3
      with:
        languages: ${{ matrix.language }}

        with:
          name: SARIF file
          path: results.sarif
          retention-days: 5

      # Upload the results to GitHub's code scanning dashboard.
      - name: "Upload to code-scanning"
        uses: github/codeql-action/upload-sarif@fe4161a26a8629af62121b670040955b330f9af2 # v4.31.6
        with:

			di.UsedSpace = info.Used
			di.AvailableSpace = info.Free
			di.UUID = info.ID
			di.Major = info.Major
			di.Minor = info.Minor
			di.RootDisk = info.RootDisk
			di.Healing = info.Healing
			di.Scanning = info.Scanning
			di.State = diskErrToDriveState(err)
			di.FreeInodes = info.FreeInodes
			di.UsedInodes = info.UsedInodes
			if hi := disks[index].Healing(); hi != nil {
				hd := hi.toHealingDisk()

 * to register, retrieve, and discover available data stores.
 *
 * <p>Data stores are registered by name and class name, allowing flexible lookup.
 * The factory also supports dynamic discovery of data store plugins by scanning
 * JAR files for data store configurations.</p>
 *
 * <p>Thread-safe operations are supported for registration and retrieval of data stores.
 * The factory caches data store names with a time-based refresh mechanism to improve

## 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.

heal                  manage object healing frequency and bitrot verification checks
scanner               manage namespace scanning for usage calculation, lifecycle, healing and more
```

> NOTE: if you set any of the following sub-system configuration using ENVs, dynamic behavior is not supported.

### Usage scanner

     */
    public ProtocolHelper() {
        // Default constructor
    }

    /**
     * Initializes the protocol helper by loading configured protocols from FessConfig
     * and scanning for available protocol handlers in the classpath.
     * This method is called automatically after bean construction.
     */
    @PostConstruct
    public void init() {

}

func (s *xlStorage) NSScanner(ctx context.Context, cache dataUsageCache, updates chan<- dataUsageEntry, scanMode madmin.HealScanMode, weSleep func() bool) (dataUsageCache, error) {
	atomic.AddInt32(&s.scanning, 1)
	defer atomic.AddInt32(&s.scanning, -1)

	var err error
	stopFn := globalScannerMetrics.log(scannerMetricScanBucketDrive, s.drivePath, cache.Info.Name)
	defer func() {
		res := make(map[string]string)
		if err != nil {

			Description: "manage global HTTP API call specific features, such as throttling, authentication types, etc.",
		},
		config.HelpKV{
			Key:         config.ScannerSubSys,
			Description: "manage namespace scanning for usage calculation, lifecycle, healing and more",
		},
		config.HelpKV{
			Key:         config.BatchSubSys,
			Description: "manage batch job workers and wait times",
		},
		config.HelpKV{

					f.updateCache.copyWithChildren(&f.newCache, h, &thisHash)
				}
			}
		}

		// Scan existing...
		for _, folder := range existingFolders {
			h := hashPath(folder.name)
			// Check if we should skip scanning folder...
			// We can only skip if we are not indexing into a compacted destination
			// and the entry itself is compacted.
			if !into.Compacted && f.oldCache.isCompacted(h) {