// The only aim is to generate an HTTP request in a way that the relevant/registered end point is evoked/called.
	// Indicating that all parts are uploaded and initiating completeMultipartUpload.
	nilBucket := "dummy-bucket"
	nilObject := ""

	nilReq, err := newTestSignedRequestV4(http.MethodPost, getDeleteMultipleObjectsURL("", nilBucket), 0, nil, "", "", nil)

Sie können auch `File()` mit `UploadFile` verwenden, um zum Beispiel zusätzliche Metadaten zu setzen:

{* ../../docs_src/request_files/tutorial001_03_an_py39.py hl[9,15] *}

## Mehrere Datei-Uploads { #multiple-file-uploads }

Es ist auch möglich, mehrere Dateien gleichzeitig hochzuladen.

Diese werden demselben Formularfeld zugeordnet, welches mit den Formulardaten gesendet wird.

        triggerName = "QuickFeedback",
    ) {
    init {
        id("Promotion_SnapshotFromQuickFeedbackStepUpload")
        name = "Nightly Snapshot (from QuickFeedback) - Upload"
        description = "Builds and uploads the latest successful changes on '${branch.branchName}' from Quick Feedback as a new distribution"

        steps {
            buildStep(

| Maximum number of objects returned per list objects request                     | 1000                                                                            |
| Maximum number of multipart uploads returned per list multipart uploads request | 1000                                                                            |

```

### Step 3: Test with Thumbnailer

We used [Thumbnailer](https://github.com/minio/thumbnailer) to listen for MinIO notifications when a new JPEG file is uploaded (HTTP PUT). Triggered by a notification, Thumbnailer uploads a thumbnail of new image to MinIO server. To start with, download and install Thumbnailer.

```
git clone https://github.com/minio/thumbnailer/
npm install
```

	BandWidthLimitInBytesPerSecond int64 `json:"limitInBits"`
	// current bandwidth reported
	CurrentBandwidthInBytesPerSecond float64 `json:"currentBandwidth"`
	// transfer rate for large uploads
	XferRateLrg *XferStats `json:"-" msg:"lt"`
	// transfer rate for small uploads
	XferRateSml *XferStats `json:"-" msg:"st"`

	// Deprecated fields
	// Pending size in bytes
	PendingSize int64 `json:"pendingReplicationSize"`
	// Failed size in bytes

También puedes usar `File()` con `UploadFile`, por ejemplo, para establecer metadatos adicionales:

{* ../../docs_src/request_files/tutorial001_03_an_py39.py hl[9,15] *}

## Subidas de Múltiples Archivos { #multiple-file-uploads }

Es posible subir varios archivos al mismo tiempo.

Estarían asociados al mismo "campo de formulario" enviado usando "form data".

Para usar eso, declara una lista de `bytes` o `UploadFile`:

{* ../../docs_src/request_files/tutorial001_03_an_py39.py hl[9,15] *}

## Загрузка нескольких файлов { #multiple-file-uploads }

Можно одновременно загружать несколько файлов.

Они будут связаны с одним и тем же "полем формы", отправляемым с помощью данных формы.

Для этого необходимо объявить список `bytes` или `UploadFile`:

	xl := z.serverPools[0].sets[0]
	erasureDisks := xl.getDisks()
	parts, errs := readAllFileInfo(ctx, erasureDisks, "", bucketName, objectName+"/upload.txt", "", false, false)
	for i := range parts {
		if errs[i] == nil {
			if parts[i].Name == objectName+"/upload.txt" {
				t.Errorf("Test %s: Failed to stop post policy handler from writing to minioMetaBucket", instanceType)
			}
		}
	}
}

## 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