演示了如何异步更新现有作业的状态。
代码示例
C#
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;
using System.Threading.Tasks;
public sealed partial class GeneratedJobsV1Beta3ClientSnippets
{
/// <summary>Snippet for UpdateJobAsync</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 async Task UpdateJobRequestObjectAsync()
{
// Create client
JobsV1Beta3Client jobsV1Beta3Client = await JobsV1Beta3Client.CreateAsync();
// Initialize request argument(s)
UpdateJobRequest request = new UpdateJobRequest
{
ProjectId = "",
JobId = "",
Job = new Job(),
Location = "",
};
// Make the request
Job response = await jobsV1Beta3Client.UpdateJobAsync(request);
}
}
Java
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.api.core.ApiFuture;
import com.google.dataflow.v1beta3.Job;
import com.google.dataflow.v1beta3.JobsV1Beta3Client;
import com.google.dataflow.v1beta3.UpdateJobRequest;
public class AsyncUpdateJob {
public static void main(String[] args) throws Exception {
asyncUpdateJob();
}
public static void asyncUpdateJob() 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()) {
UpdateJobRequest request =
UpdateJobRequest.newBuilder()
.setProjectId("projectId-894832108")
.setJobId("jobId101296568")
.setJob(Job.newBuilder().build())
.setLocation("location1901043637")
.build();
ApiFuture<Job> future = jobsV1Beta3Client.updateJobCallable().futureCall(request);
// Do something.
Job response = future.get();
}
}
}
Node.js
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.
* TODO(developer): Uncomment these variables before running the sample.
*/
/**
* The ID of the Cloud Platform project that the job belongs to.
*/
// const projectId = 'abc123'
/**
* The job ID.
*/
// const jobId = 'abc123'
/**
* The updated job.
* Only the job state is updatable; other fields will be ignored.
*/
// const job = {}
/**
* The regional endpoint
* (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) that
* contains this job.
*/
// const location = 'abc123'
// Imports the Dataflow library
const {JobsV1Beta3Client} = require('@google-cloud/dataflow').v1beta3;
// Instantiates a client
const dataflowClient = new JobsV1Beta3Client();
async function callUpdateJob() {
// Construct request
const request = {
};
// Run request
const response = await dataflowClient.updateJob(request);
console.log(response);
}
callUpdateJob();
Python
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
async def sample_update_job():
# Create a client
client = dataflow_v1beta3.JobsV1Beta3AsyncClient()
# Initialize request argument(s)
request = dataflow_v1beta3.UpdateJobRequest(
)
# Make the request
response = await client.update_job(request=request)
# Handle the response
print(response)
后续步骤
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