Snapshot the state of a streaming job (async)

Demonstrates how to snapshot the state of a streaming job asynchronously.

Code sample

Node.js

/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
/**
 *  The project which owns the job to be snapshotted.
 */
// const projectId = 'abc123'
/**
 *  The job to be snapshotted.
 */
// const jobId = 'abc123'
/**
 *  TTL for the snapshot.
 */
// const ttl = {}
/**
 *  The location that contains this job.
 */
// const location = 'abc123'
/**
 *  If true, perform snapshots for sources which support this.
 */
// const snapshotSources = true
/**
 *  User specified description of the snapshot. Maybe empty.
 */
// const description = 'abc123'

// Imports the Dataflow library
const {JobsV1Beta3Client} = require('@google-cloud/dataflow').v1beta3;

// Instantiates a client
const dataflowClient = new JobsV1Beta3Client();

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

  // Run request
  const response = await dataflowClient.snapshotJob(request);
  console.log(response);
}

callSnapshotJob();

Python

from google.cloud import dataflow_v1beta3


async def sample_snapshot_job():
    # Create a client
    client = dataflow_v1beta3.JobsV1Beta3AsyncClient()

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

    # Make the request
    response = await client.snapshot_job(request=request)

    # Handle the response
    print(response)

What's next

To search and filter code samples for other Google Cloud products, see the Google Cloud sample browser.