Google BigQuery: Node.js Client

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.

• Using the client library
• Samples
• Versioning
• Contributing
• License

Using the client library

1. Select or create a Cloud Platform project.

2. Enable billing for your project.

3. Enable the Google BigQuery API.

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

5. Install the client library:

    npm install --save @google-cloud/bigquery

6. Try an example:

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

  // Creates a client
  const bigquery = new BigQuery();

  // Create the dataset
  const [dataset] = await bigquery.createDataset(datasetName);
  console.log(`Dataset ${dataset.id} created.`);

Samples

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

Sample	Source Code	Try it
Dataset create	source code
Dataset delete	source code
Dataset list	source code
Browse rows	source code
Copy table	source code
Create table	source code
Delete table	source code
Extract table to GCS	source code
Insert rows as stream	source code
List tables	source code
Load CSV from GCS	source code
Load CSV from GCS autodetect	source code
Load CSV from GCS truncate	source code
Load JSON from GCS	source code
Load JSON from GCS autodetect	source code
Load JSON from GCS truncate	source code
Load local file	source code
Load ORC from GCS truncate	source code
Load Parquet from GCS truncate	source code
Query	source code
Query named params	source code
Query positional params	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

What's Next

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

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