loadDataUsage := func(ctx context.Context) (u DataUsageInfo, err error) {
		objLayer := newObjectLayerFn()
		if objLayer == nil {
			return u, err
		}

		// Collect cluster level object metrics.
		u, err = loadDataUsageFromBackend(GlobalContext, objLayer)
		return u, err
	}
	return cachevalue.NewFromFunc(1*time.Minute,
		cachevalue.Opts{ReturnLastGood: true},
		loadDataUsage)
}

      id = 'elasticsearch.internal-available-ports'
      implementationClass = 'org.elasticsearch.gradle.internal.InternalAvailableTcpPortProviderPlugin'
    }
    internalClusterTest {
      id = 'elasticsearch.internal-cluster-test'
      implementationClass = 'org.elasticsearch.gradle.internal.test.InternalClusterTestPlugin'
    }
    internalDistributionArchiveCheck {
      id = 'elasticsearch.internal-distribution-archive-check'

## Sample `POST` Request

```

  labels:
    app: {{ template "minio.name" . }}
    chart: {{ template "minio.chart" . }}
    release: {{ .Release.Name }}
    heritage: {{ .Release.Service }}
spec:
  publishNotReadyAddresses: true
  clusterIP: None
  ports:
    - name: {{ $scheme }}
      port: {{ .Values.service.port }}
      protocol: TCP
      targetPort: {{ .Values.minioAPIPort }}
  selector:
    app: {{ template "minio.name" . }}

```

In a given setup, there are `n` MinIO instances talking to `m` KES servers but only `1` central KMS. The most simple setup consists of `1` MinIO server or cluster talking to `1` KMS via `1` KES server.

The main difference between various MinIO-KMS deployments is the KMS implementation. The following table helps you select the right option for your use case:

type EndpointServerPools []PoolEndpoints

// ESCount returns the total number of erasure sets in this cluster
func (l EndpointServerPools) ESCount() (count int) {
	for _, p := range l {
		count += p.SetCount
	}
	return count
}

// GetNodes returns a sorted list of nodes in this cluster
func (l EndpointServerPools) GetNodes() (nodes []Node) {
	nodesMap := make(map[string]Node)
	for _, pool := range l {

	b.caches = make(map[string]metacache, 10)
	b.cachesRoot = make(map[string][]string, 10)
}

// deleteCache will delete a specific cache and all files related to it across the cluster.
func (b *bucketMetacache) deleteCache(id string) {
	b.mu.Lock()
	c, ok := b.caches[id]
	if ok {
		// Delete from root map.
		list := b.cachesRoot[c.root]
		for i, lid := range list {
			if id == lid {

## Run Standalone MinIO on Docker

*Note*: Standalone MinIO is intended for early development and evaluation. For production clusters, deploy a [Distributed](https://docs.min.io/community/minio-object-store/operations/deployments/baremetal-deploy-minio-as-a-container.html) MinIO deployment.

## Enabling Parquet Format

Parquet is DISABLED by default since hostile crafted input can easily crash the server.

If you are in a controlled environment where it is safe to assume no hostile content can be uploaded to your cluster you can safely enable Parquet.
To enable Parquet set the environment variable `MINIO_API_SELECT_PARQUET=on`.

## Example using Python API

### 1. Prerequisites

	ObjectsTotalSize uint64                           `json:"objectsTotalSize"`
	ReplicationInfo  map[string]BucketTargetUsageInfo `json:"objectsReplicationInfo"`

	// Total number of buckets in this cluster
	BucketsCount uint64 `json:"bucketsCount"`

	// Buckets usage info provides following information across all buckets
	// - total size of the bucket
	// - total objects in a bucket
	// - object size histogram per bucket