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Google BigQuery: Node.js Client

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Node.js idiomatic client for BigQuery .

Client API Reference

Quickstart

Before you begin

  1. Select or create a Cloud Platform project.

    Go to the projects page

  2. Enable billing for your project.

    Enable billing

  3. Enable the Google BigQuery API.

    Enable the API

  4. Set up authentication with a service account so you can access the API from your local workstation.

Installing the client library

npm install --save @google-cloud/bigquery

Using the client library

// Imports the Google Cloud client library
const BigQuery = require('@google-cloud/bigquery');

// Your Google Cloud Platform project ID
const projectId = 'YOUR_PROJECT_ID';

// Creates a client
const bigquery = new BigQuery({
  projectId: projectId,
});

// The name for the new dataset
const datasetName = 'my_new_dataset';

// Creates the new dataset
bigquery
  .createDataset(datasetName)
  .then(results => {
    const dataset = results[0];

    console.log(`Dataset ${dataset.id} created.`);
  })
  .catch(err => {
    console.error('ERROR:', err);
  });

Samples

Samples are in the samples/ directory. The samples' README.md has instructions for running the samples.

Sample Source Code Try it
Datasets source code Open in Cloud Shell
Tables source code Open in Cloud Shell
Queries source code Open in Cloud Shell

The BigQuery Node.js Client API Reference documentation also contains samples.

Versioning

This library follows Semantic Versioning .

This library is considered to be in beta . This means it is expected to be mostly stable while we work toward a general availability release; however, complete stability is not guaranteed. We will address issues and requests against beta libraries with a high priority.

More Information: Google Cloud Platform Launch Stages

Contributing

Contributions welcome! See the Contributing Guide .

License

Apache Version 2.0

See LICENSE