Google BigQuery Data Transfer Service: Node.js Client

BigQuery Data Transfer API client for Node.js

A comprehensive list of changes in each version may be found in the CHANGELOG .

Read more about the client libraries for Cloud APIs, including the older Google APIs Client Libraries, in Client Libraries Explained .

Table of contents:

Quickstart
Samples
Versioning
Contributing
License

Quickstart

Before you begin

Select or create a Cloud Platform project .
Enable billing for your project .
Enable the Google BigQuery Data Transfer Service API .
Set up authentication with a service account so you can access the API from your local workstation.

Installing the client library

 npm install @google-cloud/bigquery-data-transfer

Using the client library

 const bigqueryDataTransfer = require(' @google-cloud/bigquery-data-transfer 
');
const client = new bigqueryDataTransfer.v1. DataTransferServiceClient 
();

async function quickstart() {
  const projectId = await client. getProjectId 
();

  // Iterate over all elements.
  const formattedParent = client. projectPath 
(projectId, 'us-central1');
  let nextRequest = {parent: formattedParent};
  const options = {autoPaginate: false};
  console.log('Data sources:');
  do {
    // Fetch the next page.
    const responses = await client.listDataSources(nextRequest, options);
    // The actual resources in a response.
    const resources = responses[0];
    // The next request if the response shows that there are more responses.
    nextRequest = responses[1];
    // The actual response object, if necessary.
    // const rawResponse = responses[2];
    resources.forEach(resource => {
      console.log(`  ${resource.name}`);
    });
  } while (nextRequest);

  console.log('\n\n');
  console.log('Sources via stream:');

  client
    . listDataSourcesStream 
({parent: formattedParent})
    .on('data', element => {
      console.log(`  ${element.name}`);
    });
}
quickstart();

Samples

Samples are in the samples/ directory. Each sample's README.md has instructions for running its sample.

Sample	Source Code	Try it
Data_transfer_service.check_valid_creds	source code
Data_transfer_service.create_transfer_config	source code
Data_transfer_service.delete_transfer_config	source code
Data_transfer_service.delete_transfer_run	source code
Data_transfer_service.enroll_data_sources	source code
Data_transfer_service.get_data_source	source code
Data_transfer_service.get_transfer_config	source code
Data_transfer_service.get_transfer_run	source code
Data_transfer_service.list_data_sources	source code
Data_transfer_service.list_transfer_configs	source code
Data_transfer_service.list_transfer_logs	source code
Data_transfer_service.list_transfer_runs	source code
Data_transfer_service.schedule_transfer_runs	source code
Data_transfer_service.start_manual_transfer_runs	source code
Data_transfer_service.update_transfer_config	source code
Quickstart	source code
Quickstart.test	source code

The Google BigQuery Data Transfer Service Node.js Client API Reference documentation also contains samples.

Supported Node.js Versions

Our client libraries follow the Node.js release schedule . Libraries are compatible with all current active and maintenance versions of Node.js. If you are using an end-of-life version of Node.js, we recommend that you update as soon as possible to an actively supported LTS version.

Google's client libraries support legacy versions of Node.js runtimes on a best-efforts basis with the following warnings:

Legacy versions are not tested in continuous integration.
Some security patches and features cannot be backported.
Dependencies cannot be kept up-to-date.

Client libraries targeting some end-of-life versions of Node.js are available, and can be installed through npm dist-tags . The dist-tags follow the naming convention legacy-(version) . For example, npm install @google-cloud/bigquery-data-transfer@legacy-8 installs client libraries for versions compatible with Node.js 8.

Versioning

This library follows Semantic Versioning .

This library is considered to be stable. The code surface will not change in backwards-incompatible ways unless absolutely necessary (e.g. because of critical security issues) or with an extensive deprecation period. Issues and requests against stablelibraries are addressed with the highest priority.

More Information: Google Cloud Platform Launch Stages

Contributing

Contributions welcome! See the Contributing Guide .

Please note that this README.md , the samples/README.md , and a variety of configuration files in this repository (including .nycrc and tsconfig.json ) are generated from a central template. To edit one of these files, make an edit to its templates in directory .

License

Apache Version 2.0

See LICENSE