googleapis/nodejs-bigquery

Name: nodejs-bigquery

Owner: Google APIs

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

Created: 2017-07-26 20:27:38.0

Updated: 2018-01-17 11:25:49.0

Pushed: 2018-01-17 22:04:21.0

Homepage: https://cloud.google.com/bigquery/

Size: 3689

Language: JavaScript

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README

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Google BigQuery: Node.js Client

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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
mports the Google Cloud client library
t BigQuery = require('@google-cloud/bigquery');

our Google Cloud Platform project ID
t projectId = 'YOUR_PROJECT_ID';

reates a client
t bigquery = new BigQuery({
ojectId: projectId,


he name for the new dataset
t datasetName = 'my_new_dataset';

reates the new dataset
uery
reateDataset(datasetName)
hen(results => {
const dataset = results[0];

console.log(`Dataset ${dataset.id} created.`);

atch(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


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.