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.
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Set up authentication with a service account so you can access the API from your local workstation.
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Install the client library:
npm install --save @google-cloud/bigquery -
Try an example:
async function createDataset(
datasetName = 'my_new_dataset' // Name for the new dataset
) {
// 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 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.
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
Contributions welcome! See the Contributing Guide.
Apache Version 2.0
See LICENSE
Read more about the client libraries for Cloud APIs, including the older Google APIs Client Libraries, in Client Libraries Explained.