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
Set up authentication with a service account so you can access the API from your local workstation.
Install the client library:
npm install --save @google-cloud/bigquery
Try an example:
// Imports the Google Cloud client libraryconst BigQuery = ;// Creates a clientconst bigquery = ;// Create the datasetconst dataset = await bigquery;console;
Samples are in the
samples/ directory. The samples'
has instructions for running the samples.
|Sample||Source Code||Try it|
|Dataset create||source code|
|Dataset delete||source code|
|Dataset list||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
Read more about the client libraries for Cloud APIs, including the older Google APIs Client Libraries, in Client Libraries Explained.