Get job execution details (async)

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Demonstrates how to asynchronously request detailed information about the execution status of the job.

Code sample

C#

using Google.Api.Gax;
using Google.Cloud.Dataflow.V1Beta3;
using System;
using System.Linq;
using System.Threading.Tasks;

public sealed partial class GeneratedMetricsV1Beta3ClientSnippets
{
    /// <summary>Snippet for GetJobExecutionDetailsAsync</summary>
    /// <remarks>
    /// This snippet has been automatically generated for illustrative purposes only.
    /// It may require modifications to work in your environment.
    /// </remarks>
    public async Task GetJobExecutionDetailsRequestObjectAsync()
    {
        // Create client
        MetricsV1Beta3Client metricsV1Beta3Client = await MetricsV1Beta3Client.CreateAsync();
        // Initialize request argument(s)
        GetJobExecutionDetailsRequest request = new GetJobExecutionDetailsRequest
        {
            ProjectId = "",
            JobId = "",
            Location = "",
        };
        // Make the request
        PagedAsyncEnumerable<JobExecutionDetails, StageSummary> response = metricsV1Beta3Client.GetJobExecutionDetailsAsync(request);

        // Iterate over all response items, lazily performing RPCs as required
        await response.ForEachAsync((StageSummary item) =>
        {
            // Do something with each item
            Console.WriteLine(item);
        });

        // Or iterate over pages (of server-defined size), performing one RPC per page
        await response.AsRawResponses().ForEachAsync((JobExecutionDetails page) =>
        {
            // Do something with each page of items
            Console.WriteLine("A page of results:");
            foreach (StageSummary item in page)
            {
                // Do something with each item
                Console.WriteLine(item);
            }
        });

        // Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
        int pageSize = 10;
        Page<StageSummary> singlePage = await response.ReadPageAsync(pageSize);
        // Do something with the page of items
        Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
        foreach (StageSummary item in singlePage)
        {
            // Do something with each item
            Console.WriteLine(item);
        }
        // Store the pageToken, for when the next page is required.
        string nextPageToken = singlePage.NextPageToken;
    }
}

Node.js

/**
 * 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.
 */
/**
 *  A project id.
 */
// const projectId = 'abc123'
/**
 *  The job to get execution details for.
 */
// const jobId = 'abc123'
/**
 *  The regional endpoint 
 *  (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) that
 *  contains the job specified by job_id.
 */
// const location = 'abc123'
/**
 *  If specified, determines the maximum number of stages to
 *  return.  If unspecified, the service may choose an appropriate
 *  default, or may return an arbitrarily large number of results.
 */
// const pageSize = 1234
/**
 *  If supplied, this should be the value of next_page_token returned
 *  by an earlier call. This will cause the next page of results to
 *  be returned.
 */
// const pageToken = 'abc123'

// Imports the Dataflow library
const {MetricsV1Beta3Client} = require('@google-cloud/dataflow').v1beta3;

// Instantiates a client
const dataflowClient = new MetricsV1Beta3Client();

async function callGetJobExecutionDetails() {
  // Construct request
  const request = {
  };

  // Run request
  const iterable = await dataflowClient.getJobExecutionDetailsAsync(request);
  for await (const response of iterable) {
      console.log(response);
  }
}

callGetJobExecutionDetails();

Python

# 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_get_job_execution_details():
    # Create a client
    client = dataflow_v1beta3.MetricsV1Beta3AsyncClient()

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

    # Make the request
    page_result = client.get_job_execution_details(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

What's next

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