return statsCounterSupplier;
  }

  /**
   * Builds a cache, which either returns an already-loaded value for a given key or atomically
   * computes or retrieves it using the supplied {@code CacheLoader}. If another thread is currently
   * loading the value for this key, simply waits for that thread to finish and returns its loaded
   * value. Note that multiple threads can concurrently load values for distinct keys.
   *

Point a web browser running on the host machine to <http://127.0.0.1:9000> and log in with the root credentials.
You can use the Browser to create buckets, upload objects, and browse the contents of the MinIO server.

You can also connect using any S3-compatible tool, such as the MinIO Client `mc` commandline tool:

```sh
mc alias set local http://localhost:9000 minioadmin minioadmin

// the simplified multipart backend which is a flat hierarchy now.
// In .minio.sys/multipart we have:
// sha256(bucket/object)/uploadID/[xl.meta, part.1, part.2 ....]
type formatErasureV3 struct {
	formatMetaV1
	Erasure struct {
		Version string `json:"version"` // Version of 'xl' format.

	if err = saveServerConfig(ctx, objectAPI, cfg); err != nil {
		writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx, err), r.URL)
		return
	}

	// freshly retrieve the config so that default values are loaded for reset config
	if cfg, err = getValidConfig(objectAPI); err != nil {
		writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx, err), r.URL)
		return
	}

	dynamic := config.SubSystemsDynamic.Contains(subSys)

                result.addException(e);
                throw new ArtifactDescriptorException(result);
            }

            Model model;

            // TODO hack: don't rebuild model if it was already loaded during reactor resolution
            final WorkspaceReader workspace = session.getWorkspaceReader();
            if (workspace instanceof MavenWorkspaceReader mavenWorkspaceReader) {

```

                }
            }));
            facetQueryView.init();
            facetQueryViewList.add(facetQueryView);
            if (logger.isDebugEnabled()) {
                logger.debug("loaded {}", facetQueryView);
            }
        }));

        facetCache = CacheBuilder.newBuilder().maximumSize(1000).expireAfterWrite(facetCacheDuration, TimeUnit.SECONDS).build();

 * from its source file.
 */
public class SynonymFile extends DictionaryFile<SynonymItem> {
    private static final String SYNONYM = "synonym";

    /** The list of synonym items loaded from the dictionary file. */
    List<SynonymItem> synonymItemList;

    /**
     * Constructs a new synonym file.
     *
     * @param id        The unique identifier for this dictionary file.

Spark/Hadoop workloads which use Hadoop MR Committer v1/v2 algorithm upload objects to a temporary prefix in a bucket. These objects are 'renamed' to a different prefix on Job commit. Object storage admins are forced to configure separate ILM policies to expire these objects and their versions to reclaim space.

	return readServerConfig(GlobalContext, objAPI, nil)
}

// loadConfig - loads a new config from disk, overrides params
// from env if found and valid
// data is optional. If nil it will be loaded from backend.
func loadConfig(objAPI ObjectLayer, data []byte) error {
	bootstrapTraceMsg("load the configuration")
	srvCfg, err := readServerConfig(GlobalContext, objAPI, data)
	if err != nil {
		return err
	}