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URL: https://www.cdata.com/kb/tech/woocommerce-cloud-nodejs.rst

โ‡ฑ Query WooCommerce Data as a SQL Server Database in Node.js


Query WooCommerce Data as a SQL Server Database in Node.js

๐Ÿ‘ Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Execute SQL Server queries against WooCommerce data from Node.js.

You can use CData Connect AI to query WooCommerce data through a SQL Server interface. Follow the procedure below to create a virtual database for WooCommerce in Connect AI and start querying using Node.js.

CData Connect AI provides a pure MySQL, cloud-to-cloud interface for WooCommerce, allowing you to easily query live WooCommerce data in Node.js โ€” without replicating the data to a natively supported database. As you query data in Node.js, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc) directly to WooCommerce, leveraging server-side processing to quickly return WooCommerce data.

Configure WooCommerce Connectivity for NodeJS

Connectivity to WooCommerce from NodeJS is made possible through CData Connect AI. To work with WooCommerce data from NodeJS, we start by creating and configuring a WooCommerce connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. ๐Ÿ‘ Adding a Connection
  3. Select "WooCommerce" from the Add Connection panel
  4. ๐Ÿ‘ Selecting a data source
  5. Enter the necessary authentication properties to connect to WooCommerce.

    WooCommerce supports the following authentication methods: one-legged OAuth1.0 Authentication and standard OAuth2.0 Authentication.

    Connecting using one-legged OAuth 1.0 Authentication

    Specify the following properties (NOTE: the below credentials are generated from WooCommerce settings page and should not be confused with the credentials generated by using WordPress OAuth2.0 plugin):

    • ConsumerKey
    • ConsumerSecret

    Connecting using WordPress OAuth 2.0 Authentication

    After having configured the

    • OAuthClientId
    • OAuthClientSecret
    • CallbackURL
    • InitiateOAuth - Set this to either GETANDREFRESH or REFRESH

    In either case, set the Url property to the URL of the WooCommerce instance.

    ๐Ÿ‘ Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add WooCommerce Connection page and update the User-based permissions. ๐Ÿ‘ Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. ๐Ÿ‘ Creating a new PAT
  4. 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 and a PAT generated, you are ready to connect to WooCommerce data from Node.js.

Query WooCommerce from Node.js

The following example shows how to define a connection and execute queries to WooCommerce with the SQL Server module. You will need the following information:

  • server: tds.cdata.com
  • port: 14333
  • user: a Connect AI user (e.g. [email protected])
  • password: the PAT for the above user
  • database: The connection you configured for WooCommerce (WooCommerce1)

Connect to WooCommerce 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: 'WooCommerce1'
	}
}

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);
})