检查项目中是否存在活跃作业

演示如何检查项目中是否存在活跃作业。

代码示例

C#GoJavaPython

如需向 Dataflow 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

using Google.Cloud.Dataflow.V1Beta3;

public sealed partial class GeneratedJobsV1Beta3ClientSnippets
{
    /// <summary>Snippet for CheckActiveJobs</summary>
    /// <remarks>
    /// This snippet has been automatically generated and should be regarded as a code template only.
    /// It will require modifications to work:
    /// - It may require correct/in-range values for request initialization.
    /// - It may require specifying regional endpoints when creating the service client as shown in
    ///   https://cloud.google.com/dotnet/docs/reference/help/client-configuration#endpoint.
    /// </remarks>
    public void CheckActiveJobsRequestObject()
    {
        // Create client
        JobsV1Beta3Client jobsV1Beta3Client = JobsV1Beta3Client.Create();
        // Initialize request argument(s)
        CheckActiveJobsRequest request = new CheckActiveJobsRequest { ProjectId = "", };
        // Make the request
        CheckActiveJobsResponse response = jobsV1Beta3Client.CheckActiveJobs(request);
    }
}

如需向 Dataflow 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

package main

import (
	"context"

	dataflow "cloud.google.com/go/dataflow/apiv1beta3"
	dataflowpb "cloud.google.com/go/dataflow/apiv1beta3/dataflowpb"
)

func main() {
	ctx := context.Background()
	// This snippet has been automatically generated and should be regarded as a code template only.
	// It will require modifications to work:
	// - It may require correct/in-range values for request initialization.
	// - It may require specifying regional endpoints when creating the service client as shown in:
	//   https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options
	c, err := dataflow.NewJobsV1Beta3Client(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &dataflowpb.CheckActiveJobsRequest{
		// TODO: Fill request struct fields.
		// See https://pkg.go.dev/cloud.google.com/go/dataflow/apiv1beta3/dataflowpb#CheckActiveJobsRequest.
	}
	resp, err := c.CheckActiveJobs(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

如需向 Dataflow 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

import com.google.dataflow.v1beta3.CheckActiveJobsRequest;
import com.google.dataflow.v1beta3.CheckActiveJobsResponse;
import com.google.dataflow.v1beta3.JobsV1Beta3Client;

public class SyncCheckActiveJobs {

  public static void main(String[] args) throws Exception {
    syncCheckActiveJobs();
  }

  public static void syncCheckActiveJobs() throws Exception {
    // This snippet has been automatically generated and should be regarded as a code template only.
    // It will require modifications to work:
    // - It may require correct/in-range values for request initialization.
    // - It may require specifying regional endpoints when creating the service client as shown in
    // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
    try (JobsV1Beta3Client jobsV1Beta3Client = JobsV1Beta3Client.create()) {
      CheckActiveJobsRequest request =
          CheckActiveJobsRequest.newBuilder().setProjectId("projectId-894832108").build();
      CheckActiveJobsResponse response = jobsV1Beta3Client.checkActiveJobs(request);
    }
  }
}

如需向 Dataflow 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataflow_v1beta3


def sample_check_active_jobs():
    # Create a client
    client = dataflow_v1beta3.JobsV1Beta3Client()

    # Initialize request argument(s)
    request = dataflow_v1beta3.CheckActiveJobsRequest(
    )

    # Make the request
    response = client.check_active_jobs(request=request)

    # Handle the response
    print(response)

后续步骤

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