}
	return versions, hdrVer, metaVer, buf, nil
}

// decodeVersions will decode a number of versions from a buffer
// and perform a callback for each version in order, newest first.
// Return errDoneForNow to stop processing and return nil.
// Any non-nil error is returned.
func decodeVersions(buf []byte, versions int, fn func(idx int, hdr, meta []byte) error) (err error) {
	var tHdr, tMeta []byte // Zero copy bytes

			err = ErrRequestBodyParse
			return
		}
	}

	err = ErrNone
	return
}

// HealHandler - POST /minio/admin/v3/heal/
// -----------
// Start heal processing and return heal status items.
//
// On a successful heal sequence start, a unique client token is
// returned. Subsequent requests to this endpoint providing the client

*   Adds support for a new "distributed_epoch" processing mode. This processing
    mode distributes a dataset across all tf.data workers, instead of having
    each worker process the full dataset. See
    [the tf.data service docs](https://www.tensorflow.org/api_docs/python/tf/data/experimental/service#understand_processing_mode)
    to learn more.

		if err != nil {
			continue
		}

		mrfRec, err = loadMRF(rc)
		if err != nil {
			continue
		}

		// finally delete the file after processing mrf entries
		localDrive.Delete(p.ctx, minioMetaBucket, pathJoin(replicationMRFDir, globalLocalNodeNameHex+".bin"), DeleteOptions{})
		break
	}

	return mrfRec, nil
}

	return MetricDescription{
		Namespace: bucketMetricNamespace,
		Subsystem: requestsSubsystem,
		Name:      canceledTotal,
		Help:      "Total number of S3 requests that were canceled from the client while processing on a bucket",
		Type:      counterMetric,
	}
}

func getILMNodeMetrics() *MetricsGroupV2 {
	mg := &MetricsGroupV2{
		cacheInterval: 10 * time.Second,
	}

In some cases, for pure data validation and processing, you can get performance improvements of **20x** or more. This means 2,000% or more. 🤯