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Get the Report →Query BigQuery Data as a SQL Server Database in Node.js
Execute SQL Server queries against BigQuery data from Node.js.
You can use CData Connect Cloud to query BigQuery data through a SQL Server interface. Follow the procedure below to create a virtual database for BigQuery in Connect Cloud and start querying using Node.js.
CData Connect Cloud provides a pure MySQL, cloud-to-cloud interface for BigQuery, allowing you to easily query live BigQuery data in Node.js — without replicating the data to a natively supported database. As you query data in Node.js, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc) directly to BigQuery, leveraging server-side processing to quickly return BigQuery data.
About BigQuery Data Integration
CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:
- Simplify access to BigQuery with broad out-of-the-box support for authentication schemes, including OAuth, OAuth JWT, and GCP Instance.
- Enhance data workflows with Bi-directional data access between BigQuery and other applications.
- Perform key BigQuery actions like starting, retrieving, and canceling jobs; deleting tables; or insert job loads through SQL stored procedures.
Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.
For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery
Getting Started
Configure BigQuery Connectivity for NodeJS
Connectivity to BigQuery from NodeJS is made possible through CData Connect Cloud. To work with BigQuery data from NodeJS, we start by creating and configuring a BigQuery connection.
- Log into Connect Cloud, click Connections and click Add Connection
- Select "BigQuery" from the Add Connection panel
- BigQuery uses OAuth to authenticate. Click "Sign in" to authenticate with BigQuery.
- Navigate to the Permissions tab in the Add BigQuery Connection page and update the User-based permissions.
Add a Personal Access Token
If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.
- Click on your username at the top right of the Connect Cloud app and click User Profile.
- On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
- Give your PAT a name and click Create.
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
With the connection configured, you are ready to connect to BigQuery data from Node.js.
Query BigQuery from Node.js
The following example shows how to define a connection and execute queries to BigQuery with the SQL Server module. You will need the following information:
- server: tds.cdata.com
- port: 14333
- user: a Connect Cloud user (e.g. [email protected])
- password: the PAT for the above user
- database: The connection you configured for BigQuery (GoogleBigQuery1)
Connect to BigQuery data and start executing queries with the code below:
var sql = require('mssql') var config = { server: 'tds.cdata.com', port: 14333, user: '[email protected]', //update me password: 'CONNECT_USER_PAT', //update me options: { encrypt: true, database: 'GoogleBigQuery1' } } sql.connect(config, err => { if(err){ throw err ; } new sql.Request().query('SELECT * FROM Orders', (err, result) => { console.dir(result) }) }); sql.on('error', err => { console.log("SQL Error: " ,err); })