Google BigQuery: Node.js Client

Node.js idiomatic client for BigQuery.

BigQuery is Google's fully managed, petabyte scale, low cost analytics data warehouse. BigQuery is NoOps—there is no infrastructure to manage and you don't need a database administrator—so you can focus on analyzing data to find meaningful insights, use familiar SQL, and take advantage of our pay-as-you-go model.

• BigQuery Node.js Client API Reference
• github.com/googleapis/nodejs-bigquery
• BigQuery Documentation

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

Table of contents:

• Quickstart
  • Before you begin
  • Installing the client library
  • Using the client library
• Samples
• Versioning
• Contributing
• License

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
Tables	source code
Queries	source code

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

Versioning

This library follows Semantic Versioning.

This library is considered to be General Availability (GA). This means it
is 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 GA libraries
are addressed with the highest priority.

More Information: Google Cloud Platform Launch Stages

Contributing

Contributions welcome! See the Contributing Guide.

License

Apache Version 2.0

See LICENSE