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Node.js client for Google Cloud BigQuery: A fast, economical and fully-managed enterprise data warehouse for large-scale data analytics.

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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.

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

  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 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

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Node.js client for Google Cloud BigQuery: A fast, economical and fully-managed enterprise data warehouse for large-scale data analytics.

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