Node.js idiomatic client for BigQuery.
BigQuery is Google's fully managed, petabyte scale, low cost analytics data warehouse. BigQuery is NoOpsâ€”there is no infrastructure to manage and you don't need a database administratorâ€”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:
Before you begin
Select or create a Cloud Platform project.
Enable billing for your project.
Enable the Google BigQuery API.
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 libraryconst BigQuery = ;// Your Google Cloud Platform project IDconst projectId = 'YOUR_PROJECT_ID';// Creates a clientconst bigquery =projectId: projectId;// The name for the new datasetconst datasetName = 'my_new_dataset';// Creates the new datasetbigquery;
Samples are in the
samples/ directory. The samples'
has instructions for running the samples.
|Sample||Source Code||Try it|
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