Query BigQuery Data through ODBC in Node.js

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Google BigQuery ODBC Driver

The Google BigQuery ODBC Driver is a powerful tool that allows you to connect with live Google BigQuery data, directly from any applications that support ODBC connectivity.

Access Google BigQuery like you would a database - read, write, and update Datasets, Tables, etc. through a standard ODBC Driver interface.



Use node-odbc to execute SQL queries against BigQuery data from Node.js.

Node.js is a JavaScript runtime environment that allows you to run JavaScript code outside of a browser. With the CData ODBC Driver for BigQuery, you can access live BigQuery data from Node.js apps and scripts. In this article, we walk through installing node-odbc and the required tools to create a simple Node.js app with access to live BigQuery data.

With built-in optimized data processing, the CData ODBC Driver offers unmatched performance for interacting with live BigQuery data in Node.js. When you issue complex SQL queries from Node.js to BigQuery, the driver pushes supported SQL operations, like filters and aggregations, directly to BigQuery and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Connecting to BigQuery Data

If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

Google uses the OAuth authentication standard. To access Google APIs on behalf of individual users, you can use the embedded credentials or you can register your own OAuth app.

OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, you will need to register an application to obtain the OAuth JWT values.

In addition to the OAuth values, you will need to specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

Building node-odbc

In order to connect to BigQuery through the CData ODBC Driver, you need to build node-odbc manually (after installing the required tools).

Installing the Required Tools

The following commands install the tools required to build node-odbc (note the -g parameter, which installs the tools globally).

npm i -g windows-build-tools
npm i -g node-gyp

Building node-odbc

After installing the required tools, create a directory for the Node.js app and install odbc (which builds the binary for us to use in our Node.js script).

mkdir nodeodbc
cd nodeodbc
npm i -g node

Querying BigQuery from Node.js

With the ODBC Driver installed, a DSN Configured, and node-odbc built, we are ready to query live BigQuery data from a Node.js app. The sample code below connects to a specific DSN and queries the Orders table.

myscript.js

const odbc = require('odbc');

async function queryGoogleBigQuery() {
    const connection = await odbc.connect(`DSN=CData GoogleBigQuery Source`);
    const data = await connection.query('SELECT OrderName, Freight FROM Orders');
    console.log(data);
}

queryGoogleBigQuery();

Once you write the app, use node to execute the script:

node myscript.js

Download a free, 30-day trial of the CData ODBC Driver for BigQuery and start working with your live BigQuery data in Node.js. Reach out to our Support Team if you have any questions.