Duration calculated = Duration.between(clock.startInstant(), now);

            // Allow for small timing differences (1ms) due to execution time between measurements
            assertTrue(
                    Math.abs(elapsed.toMillis() - calculated.toMillis()) <= 1,
                    "Elapsed time should match calculated duration between start and now");
        }
    }

    @Test

		config.HelpKV{
			Key:         ReplicationWorkersWait,
			Description: `maximum sleep duration between objects to slow down batch replication operation` + defaultHelpPostfix(ReplicationWorkersWait),
			Optional:    true,
			Type:        "duration",
		},
		config.HelpKV{
			Key:         KeyRotationWorkersWait,
			Description: `maximum sleep duration between objects to slow down batch keyrotation operation` + defaultHelpPostfix(KeyRotationWorkersWait),

# MinIO Grid

The MinIO Grid is a package that provides two-way communication between servers.
It uses a single two-way connection to send and receive messages between servers.

It includes built in muxing of concurrent requests as well as congestion handling for streams.

Requests can be "Single Payload" or "Streamed".

Use the MinIO Grid for:

* Small, frequent requests with low latency requirements.

import org.jspecify.annotations.Nullable;

/**
 * An object representing the differences between two maps.
 *
 * @author Kevin Bourrillion
 * @since 2.0
 */
@DoNotMock("Use Maps.difference")
@GwtCompatible
public interface MapDifference<K extends @Nullable Object, V extends @Nullable Object> {
  /**
   * Returns {@code true} if there are no differences between the two maps; that is, if the maps are
   * equal.
   */
  boolean areEqual();

# MinIO Batch Job
MinIO Batch jobs is an MinIO object management feature that lets you manage objects at scale. Jobs currently supported by MinIO

- Replicate objects between buckets on multiple sites

Upcoming Jobs

- Copy objects from NAS to MinIO
- Copy objects from HDFS to MinIO

## Replication Job
To perform replication via batch jobs, you create a job. The job consists of a job description YAML that describes

	config.KV{
		Key:   ReplicationWorkersWait,
		Value: "0ms", // No wait by default between each replication attempts.
	},
	config.KV{
		Key:   KeyRotationWorkersWait,
		Value: "0ms", // No wait by default between each key rotation attempts.
	},
	config.KV{
		Key:   ExpirationWorkersWait,
		Value: "0ms", // No wait by default between each expiration attempts.
	},
}

		},
		config.HelpKV{
			Key:         Sleep,
			Description: `maximum sleep duration between objects to slow down heal operation` + defaultHelpPostfix(Sleep),
			Optional:    true,
			Type:        "duration",
		},
		config.HelpKV{
			Key:         IOCount,
			Description: `maximum IO requests allowed between objects to slow down heal operation` + defaultHelpPostfix(IOCount),
			Optional:    true,
			Type:        "int",

package cmd

import (
	"fmt"
	"os"
	"path"
)

// Wrapper functions to os.RemoveAll, which calls reliableRemoveAll
// this is to ensure that if there is a racy parent directory
// create in between we can simply retry the operation.
func removeAll(dirPath string) (err error) {
	if dirPath == "" {
		return errInvalidArgument
	}

	if err = checkPathLength(dirPath); err != nil {
		return err
	}

import org.jspecify.annotations.Nullable;

/**
 * An object representing the differences between two maps.
 *
 * @author Kevin Bourrillion
 * @since 2.0
 */
@DoNotMock("Use Maps.difference")
@GwtCompatible
public interface MapDifference<K extends @Nullable Object, V extends @Nullable Object> {
  /**
   * Returns {@code true} if there are no differences between the two maps; that is, if the maps are
   * equal.
   */
  boolean areEqual();

 * retry counts and intervals between attempts.
 *
 * <p>The client supports a RequestListener interface to monitor the request lifecycle and handle
 * exceptions during retries.</p>
 *
 * <p>Key features:</p>
 * <ul>
 *   <li>Configurable maximum retry attempts</li>
 *   <li>Adjustable interval between retries</li>
 *   <li>Exception tracking and aggregation</li>