objMd5 := md5.Sum([]byte(objContent))

	uploads := []struct {
		bucket     string
		expired    int
		notExpired int
	}{
		{"test-list-ilm-nothing-expired", 0, 6},
		{"test-list-ilm-all-expired", 6, 0},
		{"test-list-ilm-all-half-expired", 3, 3},
	}

	oneWeekAgo := time.Now().Add(-7 * 24 * time.Hour)

	lifecycleBytes := []byte(`
<LifecycleConfiguration>
	<Rule>

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.

### Solution

				if version.IsRemote() {
					stopFn(version.Size, errors.New("ILM Tiered version will be skipped for now"))
					continue
				}

				// Apply lifecycle rules on the objects that are expired.
				if filterLifecycle(bucket, version.Name, version) {
					expired++
					stopFn(version.Size, errors.New("ILM expired object/version will be skipped"))
					continue
				}

local volumes. This architecture enables multi-tenant MinIO, allowing isolation of data between customers.

MinIO also supports multi-cluster, multi-site federation similar to AWS regions and tiers. Using MinIO Information Lifecycle Management (ILM), you can configure data to be tiered between NVMe based hot storage, and HDD based warm storage. All data is encrypted with per-object key. Access Control and Identity Management between the tenants are managed by MinIO using OpenID Connect or Kerberos/LDAP/AD....

		Name:      transitionPendingTasks,
		Help:      "Number of pending ILM transition tasks in the queue",
		Type:      gaugeMetric,
	}
}

func getTransitionActiveTasksMD() MetricDescription {
	return MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: ilmSubsystem,
		Name:      transitionActiveTasks,
		Help:      "Number of active ILM transition tasks",
		Type:      gaugeMetric,
	}
}

		globalBucketVersioningSys = NewBucketVersioningSys()
	}

	// Create new bucket replication subsystem
	globalBucketTargetSys = NewBucketTargetSys(GlobalContext)

	// Create new ILM tier configuration subsystem
	globalTierConfigMgr = NewTierConfigMgr()

	globalTransitionState = newTransitionState(GlobalContext)
	globalSiteResyncMetrics = newSiteResyncMetrics(GlobalContext)
}

type metaCacheEntriesSorted struct {
	o metaCacheEntries
	// list id is not serialized
	listID string
	// Reuse buffers
	reuse bool
	// Contain the last skipped object after an ILM expiry evaluation
	lastSkippedEntry string
}

// shallowClone will create a shallow clone of the array objects,
// but object metadata will not be cloned.

			if !meta.Deleted && meta.Size != 0 {
				fmt.Fprintf(h, "%v+%v", meta.Erasure.DataBlocks, meta.Erasure.ParityBlocks)
				fmt.Fprintf(h, "%v", meta.Erasure.Distribution)
			}

			if meta.IsRemote() {
				// ILM transition fields
				fmt.Fprint(h, meta.TransitionStatus)
				fmt.Fprint(h, meta.TransitionTier)
				fmt.Fprint(h, meta.TransitionedObjName)
				fmt.Fprint(h, meta.TransitionVersionID)
			}

			}
		}
		if loi.IsTruncated {
			last := objects[len(objects)-1]
			loi.NextMarker = last.Name
		}

		if loi.IsTruncated && merged.lastSkippedEntry > loi.NextMarker {
			// An object hidden by ILM was found during a truncated listing. Set the next marker
			// as the last skipped entry if it is lexically higher loi.NextMarker as an optimization
			loi.NextMarker = merged.lastSkippedEntry
		}

					er.addPartial(bucket, object, opts.VersionID)

					return objInfo, InsufficientWriteQuorum{}
				}
				return objInfo, gerr
			}

			// Add protection and re-verify the ILM rules for qualification
			// based on the latest objectInfo and see if the object still
			// qualifies for deletion.
			if gerr == nil {
				var isErr bool