在批次模式中建立工作

本頁說明如何以批次模式建立 Transcoder API 工作。如果處理延遲時間不像以預設互動模式提交的工作那麼重要，請使用批次模式提交多項工作。如要進一步瞭解工作模式，請參閱總覽。

您可以在這個模式中指定工作的工作處理優先順序。以批次模式提交且優先順序值相同的工作會放入先進先出佇列，並在等待執行時處於 PENDING 工作狀態。

設定 Google Cloud 專案和驗證

如果您尚未建立Google Cloud 專案和憑證，請參閱「事前準備」一節。

設定工作模式

如要在批次模式下啟動工作，請將工作 mode 設為 PROCESSING_MODE_BATCH。

下列範例使用預設工作預設集。

REST

使用任何要求資料之前，請先替換以下項目：

• PROJECT_ID：IAM 設定中列出的 Google Cloud 專案 ID。
• LOCATION：工作執行的位置。使用支援的地區。
  顯示地區
  • us-central1
  • us-west1
  • us-west2
  • us-east1
  • us-east4
  • southamerica-east1
  • northamerica-northeast1
  • asia-east1
  • asia-northeast1
  • asia-northeast3
  • asia-south1
  • asia-southeast1
  • australia-southeast1
  • europe-west1
  • europe-west2
  • europe-west4
  • me-west1
  • me-central1
  • me-central2
• STORAGE_BUCKET_NAME：您建立的 Cloud Storage bucket 名稱。
• STORAGE_INPUT_VIDEO：Cloud Storage 值區中要轉碼的影片名稱，例如 my-vid.mp4。這個欄位應考量您在值區中建立的任何資料夾 (例如 input/my-vid.mp4)。
  注意：輸入影片必須至少有一個影片軌和一個音訊軌，才能使用 preset/web-hd 預設設定。
• STORAGE_OUTPUT_FOLDER：您要儲存編碼影片輸出的 Cloud Storage 資料夾名稱。
  注意：建立工作前，您不需要建立輸出資料夾物件。處理工作時，Transcoder API 會自動將您指定的資料夾名稱，加到儲存至 Cloud Storage 的物件名稱開頭。

如要傳送要求，請展開以下其中一個選項：

curl (Linux、macOS 或 Cloud Shell)

注意： 下列指令假設您已執行 gcloud init 或 gcloud auth login，透過使用者帳戶登入 gcloud CLI，或使用 Cloud Shell，自動登入 gcloud CLI。 您可以執行 gcloud auth list 查看目前有效的帳戶。

將要求主體儲存在名為 request.json 的檔案中。 在終端機中執行下列指令，在目前目錄中建立或覆寫這個檔案：

cat > request.json << 'EOF'
{
  "inputUri": "gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO",
  "outputUri": "gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/",
  "templateId": "preset/web-hd",
  "mode": "PROCESSING_MODE_BATCH",
  "batchModePriority": 10
}
EOF

接著，請執行下列指令來傳送 REST 要求：

curl -X POST \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     -H "Content-Type: application/json; charset=utf-8" \
     -d @request.json \
     "https://transcoder.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/jobs"

PowerShell (Windows)

注意： 下列指令假設您已執行 gcloud init 或 gcloud auth login，透過使用者帳戶登入 gcloud CLI。 您可以執行 gcloud auth list 查看目前有效的帳戶。

將要求主體儲存在名為 request.json 的檔案中。 在終端機中執行下列指令，在目前目錄中建立或覆寫這個檔案：

@'
{
  "inputUri": "gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO",
  "outputUri": "gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/",
  "templateId": "preset/web-hd",
  "mode": "PROCESSING_MODE_BATCH",
  "batchModePriority": 10
}
'@  | Out-File -FilePath request.json -Encoding utf8

接著，請執行下列指令來傳送 REST 要求：

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method POST `
    -Headers $headers `
    -ContentType: "application/json; charset=utf-8" `
    -InFile request.json `
    -Uri "https://transcoder.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/jobs" | Select-Object -Expand Content

您應該會收到如下的 JSON 回應：

{
  "name": "projects/PROJECT_NUMBER/locations/LOCATION/jobs/JOB_ID",
  "config": {
    "inputs": [
      {
        "key": "input0",
        "uri": "gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO"
      }
    ],
    "editList": [
      {
        "key": "atom0",
        "inputs": [
          "input0"
        ],
        "startTimeOffset": "0s"
      }
    ],
    "elementaryStreams": [
      {
        "videoStream": {
          "h264": {
            "widthPixels": 640,
            "heightPixels": 360,
            "frameRate": 30,
            "bitrateBps": 550000,
            "pixelFormat": "yuv420p",
            "rateControlMode": "vbr",
            "crfLevel": 21,
            "gopDuration": "3s",
            "vbvSizeBits": 550000,
            "vbvFullnessBits": 495000,
            "entropyCoder": "cabac",
            "bFrameCount": 3,
            "aqStrength": 1,
            "profile": "high",
            "preset": "veryfast"
          }
        },
        "key": "video-stream0"
      },
      {
        "videoStream": {
          "h264": {
            "widthPixels": 1280,
            "heightPixels": 720,
            "frameRate": 30,
            "bitrateBps": 2500000,
            "pixelFormat": "yuv420p",
            "rateControlMode": "vbr",
            "crfLevel": 21,
            "gopDuration": "3s",
            "vbvSizeBits": 2500000,
            "vbvFullnessBits": 2250000,
            "entropyCoder": "cabac",
            "bFrameCount": 3,
            "aqStrength": 1,
            "profile": "high",
            "preset": "veryfast"
          }
        },
        "key": "video-stream1"
      },
      {
        "audioStream": {
          "codec": "aac",
          "bitrateBps": 64000,
          "channelCount": 2,
          "channelLayout": [
            "fl",
            "fr"
          ],
          "sampleRateHertz": 48000
        },
        "key": "audio-stream0"
      }
    ],
    "muxStreams": [
      {
        "key": "sd",
        "fileName": "sd.mp4",
        "container": "mp4",
        "elementaryStreams": [
          "video-stream0",
          "audio-stream0"
        ]
      },
      {
        "key": "hd",
        "fileName": "hd.mp4",
        "container": "mp4",
        "elementaryStreams": [
          "video-stream1",
          "audio-stream0"
        ]
      },
      {
        "key": "media-sd",
        "fileName": "media-sd.ts",
        "container": "ts",
        "elementaryStreams": [
          "video-stream0",
          "audio-stream0"
        ]
      },
      {
        "key": "media-hd",
        "fileName": "media-hd.ts",
        "container": "ts",
        "elementaryStreams": [
          "video-stream1",
          "audio-stream0"
        ]
      },
      {
        "key": "video-only-sd",
        "fileName": "video-only-sd.m4s",
        "container": "fmp4",
        "elementaryStreams": [
          "video-stream0"
        ]
      },
      {
        "key": "video-only-hd",
        "fileName": "video-only-hd.m4s",
        "container": "fmp4",
        "elementaryStreams": [
          "video-stream1"
        ]
      },
      {
        "key": "audio-only",
        "fileName": "audio-only.m4s",
        "container": "fmp4",
        "elementaryStreams": [
          "audio-stream0"
        ]
      }
    ],
    "manifests": [
      {
        "fileName": "manifest.m3u8",
        "type": "HLS",
        "muxStreams": [
          "media-sd",
          "media-hd"
        ]
      },
      {
        "fileName": "manifest.mpd",
        "type": "DASH",
        "muxStreams": [
          "video-only-sd",
          "video-only-hd",
          "audio-only"
        ]
      }
    ],
    "output": {
      "uri": "gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/"
    }
  },
  "state": "PENDING",
  "createTime": CREATE_TIME,
  "ttlAfterCompletionDays": 30
}

gcloud

使用下方的任何指令資料之前，請先替換以下項目：

• LOCATION：工作執行的位置。使用支援的地區。
  顯示地區
  • us-central1
  • us-west1
  • us-west2
  • us-east1
  • us-east4
  • southamerica-east1
  • northamerica-northeast1
  • asia-east1
  • asia-northeast1
  • asia-northeast3
  • asia-south1
  • asia-southeast1
  • australia-southeast1
  • europe-west1
  • europe-west2
  • europe-west4
  • me-west1
  • me-central1
  • me-central2
• STORAGE_BUCKET_NAME：您建立的 Cloud Storage bucket 名稱。
• STORAGE_INPUT_VIDEO：Cloud Storage 值區中要轉碼的影片名稱，例如 my-vid.mp4。這個欄位應考量您在值區中建立的任何資料夾 (例如 input/my-vid.mp4)。
  注意：輸入影片必須至少有一個影片軌和一個音訊軌，才能使用 preset/web-hd 預設設定。
• STORAGE_OUTPUT_FOLDER：您要儲存編碼影片輸出的 Cloud Storage 資料夾名稱。
  注意：建立工作前，您不需要建立輸出資料夾物件。處理工作時，Transcoder API 會自動將您指定的資料夾名稱，加到儲存至 Cloud Storage 的物件名稱開頭。

執行下列指令：

Linux、macOS 或 Cloud Shell

注意： 請確認您已透過執行下列任一指令，初始化 Google Cloud CLI 的驗證和專案： gcloud init； 或 gcloud auth login 和 gcloud config set project。

gcloud transcoder jobs create \
  --input-uri="gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO" \
  --location=LOCATION \
  --output-uri="gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/" \
  --template-id="preset/web-hd" \
  --batch-mode-priority=10

Windows (PowerShell)

注意： 請確認您已透過執行下列任一指令，初始化 Google Cloud CLI 的驗證和專案： gcloud init； 或 gcloud auth login 和 gcloud config set project。

gcloud transcoder jobs create `
  --input-uri="gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO" `
  --location=LOCATION `
  --output-uri="gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/" `
  --template-id="preset/web-hd" `
  --batch-mode-priority=10

Windows (cmd.exe)

注意： 請確認您已透過執行下列任一指令，初始化 Google Cloud CLI 的驗證和專案： gcloud init； 或 gcloud auth login 和 gcloud config set project。

gcloud transcoder jobs create ^
  --input-uri="gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO" ^
  --location=LOCATION ^
  --output-uri="gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/" ^
  --template-id="preset/web-hd" ^
  --batch-mode-priority=10

您應該會收到類似以下的回應：

回應

{
  "name": "projects/PROJECT_NUMBER/locations/LOCATION/jobs/JOB_ID",
  "config": {
    "inputs": [
      {
        "key": "input0",
        "uri": "gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO"
      }
    ],
    "editList": [
      {
        "key": "atom0",
        "inputs": [
          "input0"
        ],
        "startTimeOffset": "0s"
      }
    ],
    "elementaryStreams": [
      {
        "videoStream": {
          "h264": {
            "widthPixels": 640,
            "heightPixels": 360,
            "frameRate": 30,
            "bitrateBps": 550000,
            "pixelFormat": "yuv420p",
            "rateControlMode": "vbr",
            "crfLevel": 21,
            "gopDuration": "3s",
            "vbvSizeBits": 550000,
            "vbvFullnessBits": 495000,
            "entropyCoder": "cabac",
            "bFrameCount": 3,
            "aqStrength": 1,
            "profile": "high",
            "preset": "veryfast"
          }
        },
        "key": "video-stream0"
      },
      {
        "videoStream": {
          "h264": {
            "widthPixels": 1280,
            "heightPixels": 720,
            "frameRate": 30,
            "bitrateBps": 2500000,
            "pixelFormat": "yuv420p",
            "rateControlMode": "vbr",
            "crfLevel": 21,
            "gopDuration": "3s",
            "vbvSizeBits": 2500000,
            "vbvFullnessBits": 2250000,
            "entropyCoder": "cabac",
            "bFrameCount": 3,
            "aqStrength": 1,
            "profile": "high",
            "preset": "veryfast"
          }
        },
        "key": "video-stream1"
      },
      {
        "audioStream": {
          "codec": "aac",
          "bitrateBps": 64000,
          "channelCount": 2,
          "channelLayout": [
            "fl",
            "fr"
          ],
          "sampleRateHertz": 48000
        },
        "key": "audio-stream0"
      }
    ],
    "muxStreams": [
      {
        "key": "sd",
        "fileName": "sd.mp4",
        "container": "mp4",
        "elementaryStreams": [
          "video-stream0",
          "audio-stream0"
        ]
      },
      {
        "key": "hd",
        "fileName": "hd.mp4",
        "container": "mp4",
        "elementaryStreams": [
          "video-stream1",
          "audio-stream0"
        ]
      },
      {
        "key": "media-sd",
        "fileName": "media-sd.ts",
        "container": "ts",
        "elementaryStreams": [
          "video-stream0",
          "audio-stream0"
        ]
      },
      {
        "key": "media-hd",
        "fileName": "media-hd.ts",
        "container": "ts",
        "elementaryStreams": [
          "video-stream1",
          "audio-stream0"
        ]
      },
      {
        "key": "video-only-sd",
        "fileName": "video-only-sd.m4s",
        "container": "fmp4",
        "elementaryStreams": [
          "video-stream0"
        ]
      },
      {
        "key": "video-only-hd",
        "fileName": "video-only-hd.m4s",
        "container": "fmp4",
        "elementaryStreams": [
          "video-stream1"
        ]
      },
      {
        "key": "audio-only",
        "fileName": "audio-only.m4s",
        "container": "fmp4",
        "elementaryStreams": [
          "audio-stream0"
        ]
      }
    ],
    "manifests": [
      {
        "fileName": "manifest.m3u8",
        "type": "HLS",
        "muxStreams": [
          "media-sd",
          "media-hd"
        ]
      },
      {
        "fileName": "manifest.mpd",
        "type": "DASH",
        "muxStreams": [
          "video-only-sd",
          "video-only-hd",
          "audio-only"
        ]
      }
    ],
    "output": {
      "uri": "gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/"
    }
  },
  "state": "PENDING",
  "createTime": CREATE_TIME,
  "ttlAfterCompletionDays": 30
}

C#

在試用這個範例之前，請先按照C#使用用戶端程式庫的 Transcoder API 快速入門中的設定說明操作。詳情請參閱 Transcoder API C# API 參考說明文件。

如要向 Transcoder API 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

using Google.Api.Gax.ResourceNames;
using Google.Cloud.Video.Transcoder.V1;

public class CreateJobFromPresetBatchModeSample
{
    public Job CreateJobFromPresetBatchMode(
        string projectId, string location, string inputUri, string outputUri, string preset)
    {
        // Create the client.
        TranscoderServiceClient client = TranscoderServiceClient.Create();

        // Build the parent location name.
        LocationName parent = new LocationName(projectId, location);

        // Build the job.
        Job newJob = new Job
        {
            InputUri = inputUri,
            OutputUri = outputUri,
            TemplateId = preset,
            Mode = Job.Types.ProcessingMode.Batch,
            BatchModePriority = 10
        };

        // Call the API.
        Job job = client.CreateJob(parent, newJob);

        // Return the result.
        return job;
    }
}

Go

在試用這個範例之前，請先按照Go使用用戶端程式庫的 Transcoder API 快速入門中的設定說明操作。詳情請參閱 Transcoder API Go API 參考說明文件。

如要向 Transcoder API 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

import (
	"context"
	"fmt"
	"io"

	transcoder "cloud.google.com/go/video/transcoder/apiv1"
	"cloud.google.com/go/video/transcoder/apiv1/transcoderpb"
)

// createJobFromPresetBatchMode creates a batch mode job based on a given preset
// template. See
// https://cloud.google.com/transcoder/docs/how-to/create-batch-jobs
// for more information.
func createJobFromPresetBatchMode(w io.Writer, projectID string, location string, inputURI string, outputURI string) error {
	// projectID := "my-project-id"
	// location := "us-central1"
	// inputURI := "gs://my-bucket/my-video-file"
	// outputURI := "gs://my-bucket/my-output-folder/"
	preset := "preset/web-hd"
	ctx := context.Background()
	client, err := transcoder.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("NewClient: %w", err)
	}
	defer client.Close()

	req := &transcoderpb.CreateJobRequest{
		Parent: fmt.Sprintf("projects/%s/locations/%s", projectID, location),
		Job: &transcoderpb.Job{
			InputUri:  inputURI,
			OutputUri: outputURI,
			JobConfig: &transcoderpb.Job_TemplateId{
				TemplateId: preset,
			},
			Mode:              transcoderpb.Job_PROCESSING_MODE_BATCH,
			BatchModePriority: 10,
		},
	}
	// Creates the job, Jobs take a variable amount of time to run.
	// You can query for the job state.
	response, err := client.CreateJob(ctx, req)
	if err != nil {
		return fmt.Errorf("createJobFromPresetBatchMode: %w", err)
	}

	fmt.Fprintf(w, "Job: %v", response.GetName())
	return nil
}

Java

在試用這個範例之前，請先按照Java使用用戶端程式庫的 Transcoder API 快速入門中的設定說明操作。詳情請參閱 Transcoder API Java API 參考說明文件。

如要向 Transcoder API 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

import com.google.cloud.video.transcoder.v1.CreateJobRequest;
import com.google.cloud.video.transcoder.v1.Job;
import com.google.cloud.video.transcoder.v1.Job.ProcessingMode;
import com.google.cloud.video.transcoder.v1.LocationName;
import com.google.cloud.video.transcoder.v1.TranscoderServiceClient;
import java.io.IOException;

public class CreateJobFromPresetBatchMode {

  public static void main(String[] args) throws Exception {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "my-project-id";
    String location = "us-central1";
    String inputUri = "gs://my-bucket/my-video-file";
    String outputUri = "gs://my-bucket/my-output-folder/";
    // See https://cloud.google.com/transcoder/docs/concepts/overview#job_template
    // for information on this preset.
    String preset = "preset/web-hd";

    createJobFromPresetBatchMode(projectId, location, inputUri, outputUri, preset);
  }

  // Creates a job from a preset in batch mode.
  public static void createJobFromPresetBatchMode(
      String projectId, String location, String inputUri, String outputUri, String preset)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests.
    try (TranscoderServiceClient transcoderServiceClient = TranscoderServiceClient.create()) {

      CreateJobRequest createJobRequest =
          CreateJobRequest.newBuilder()
              .setJob(
                  Job.newBuilder()
                      .setInputUri(inputUri)
                      .setOutputUri(outputUri)
                      .setTemplateId(preset)
                      .setMode(ProcessingMode.PROCESSING_MODE_BATCH)
                      .setBatchModePriority(10)
                      .build())
              .setParent(LocationName.of(projectId, location).toString())
              .build();

      // Send the job creation request and process the response.
      Job job = transcoderServiceClient.createJob(createJobRequest);
      System.out.println("Job: " + job.getName());
    }
  }
}

Node.js

在試用這個範例之前，請先按照Node.js使用用戶端程式庫的 Transcoder API 快速入門中的設定說明操作。詳情請參閱 Transcoder API Node.js API 參考說明文件。

如要向 Transcoder API 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// projectId = 'my-project-id';
// location = 'us-central1';
// inputUri = 'gs://my-bucket/my-video-file';
// outputUri = 'gs://my-bucket/my-output-folder/';
// preset = 'preset/web-hd';

// Imports the Transcoder library
const {TranscoderServiceClient} =
  require('@google-cloud/video-transcoder').v1;

// Instantiates a client
const transcoderServiceClient = new TranscoderServiceClient();

async function createJobFromPresetBatchMode() {
  // Construct request
  const request = {
    parent: transcoderServiceClient.locationPath(projectId, location),
    job: {
      inputUri: inputUri,
      outputUri: outputUri,
      templateId: preset,
      mode: 'PROCESSING_MODE_BATCH',
      batchModePriority: 10,
    },
  };

  // Run request
  const [response] = await transcoderServiceClient.createJob(request);
  console.log(`Job: ${response.name}`);
}

createJobFromPresetBatchMode();

PHP

在試用這個範例之前，請先按照PHP使用用戶端程式庫的 Transcoder API 快速入門中的設定說明操作。詳情請參閱 Transcoder API PHP API 參考說明文件。

如要向 Transcoder API 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

use Google\Cloud\Video\Transcoder\V1\Client\TranscoderServiceClient;
use Google\Cloud\Video\Transcoder\V1\CreateJobRequest;
use Google\Cloud\Video\Transcoder\V1\Job;

/**
 * Creates a job in batch mode based on a job preset.
 *
 * @param string $projectId The ID of your Google Cloud Platform project.
 * @param string $location The location of the job.
 * @param string $inputUri Uri of the video in the Cloud Storage bucket.
 * @param string $outputUri Uri of the video output folder in the Cloud Storage bucket.
 * @param string $preset The preset template (for example, "preset/web-hd").
 */
function create_job_from_preset_batch_mode($projectId, $location, $inputUri, $outputUri, $preset)
{
    // Instantiate a client.
    $transcoderServiceClient = new TranscoderServiceClient();

    $formattedParent = $transcoderServiceClient->locationName($projectId, $location);
    $job = new Job();
    $job->setInputUri($inputUri);
    $job->setOutputUri($outputUri);
    $job->setTemplateId($preset);
    $job->setMode(Job\ProcessingMode::PROCESSING_MODE_BATCH);
    $job->setBatchModePriority(10);
    $request = (new CreateJobRequest())
        ->setParent($formattedParent)
        ->setJob($job);

    $response = $transcoderServiceClient->createJob($request);

    // Print job name.
    printf('Job: %s' . PHP_EOL, $response->getName());
}

Python

在試用這個範例之前，請先按照Python使用用戶端程式庫的 Transcoder API 快速入門中的設定說明操作。詳情請參閱 Transcoder API Python API 參考說明文件。

如要向 Transcoder API 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

import argparse

from google.cloud.video import transcoder_v1
from google.cloud.video.transcoder_v1.services.transcoder_service import (
    TranscoderServiceClient,
)


def create_job_from_preset_batch_mode(
    project_id: str,
    location: str,
    input_uri: str,
    output_uri: str,
    preset: str,
) -> transcoder_v1.types.resources.Job:
    """Creates a job in batch mode based on a job preset.

    Args:
        project_id: The GCP project ID.
        location: The location to start the job in.
        input_uri: Uri of the video in the Cloud Storage bucket.
        output_uri: Uri of the video output folder in the Cloud Storage bucket.
        preset: The preset template (for example, 'preset/web-hd').

    Returns:
        The job resource.
    """

    client = TranscoderServiceClient()

    parent = f"projects/{project_id}/locations/{location}"
    job = transcoder_v1.types.Job()
    job.input_uri = input_uri
    job.output_uri = output_uri
    job.template_id = preset
    job.mode = transcoder_v1.types.Job.ProcessingMode.PROCESSING_MODE_BATCH
    job.batch_mode_priority = 10

    response = client.create_job(parent=parent, job=job)
    print(f"Job: {response.name}")
    return response

Ruby

在試用這個範例之前，請先按照Ruby使用用戶端程式庫的 Transcoder API 快速入門中的設定說明操作。詳情請參閱 Transcoder API Ruby API 參考說明文件。

如要向 Transcoder API 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

# project_id  = "YOUR-GOOGLE-CLOUD-PROJECT"  # (e.g. "my-project")
# location    = "YOUR-JOB-LOCATION"  # (e.g. "us-central1")
# input_uri   = "YOUR-GCS-INPUT-VIDEO"  # (e.g. "gs://my-bucket/my-video-file")
# output_uri  = "YOUR-GCS-OUTPUT-FOLDER/"  # (e.g. "gs://my-bucket/my-output-folder/")
# preset      = "YOUR-JOB-PRESET"  # (e.g. "preset/web-hd")

# Require the Transcoder client library.
require "google/cloud/video/transcoder"

# Create a Transcoder client.
client = Google::Cloud::Video::Transcoder.transcoder_service

# Build the resource name of the parent.
parent = client.location_path project: project_id, location: location

# Set the job fields.
new_job = {
  input_uri: input_uri,
  output_uri: output_uri,
  template_id: preset,
  mode: Google::Cloud::Video::Transcoder::V1::Job::ProcessingMode::PROCESSING_MODE_BATCH,
  batch_mode_priority: 10
}

job = client.create_job parent: parent, job: new_job

# Print the job name.
puts "Job: #{job.name}"