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

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Execute SQL Server queries against Greenhouse data from Node.js.

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

CData Connect AI provides a pure MySQL, cloud-to-cloud interface for Greenhouse, allowing you to easily query live Greenhouse data in Node.js — 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 Greenhouse, leveraging server-side processing to quickly return Greenhouse data.

Configure Greenhouse Connectivity for NodeJS

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

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

    You need an API key to connect to Greenhouse. To create an API key, follow the steps below:

    1. Click the Configure icon in the navigation bar and locate Dev Center on the left.
    2. Select API Credential Management.
    3. Click Create New API Key.
      • Set "API Type" to Harvest.
      • Set "Partner" to custom.
      • Optionally, provide a description.
    4. Proceed to Manage permissions and select the appropriate permissions based on the resources you want to access through the driver.
    5. Copy the created key and set APIKey to that value.
    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Greenhouse Connection page and update the User-based permissions. 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. 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 Greenhouse data from Node.js.

Query Greenhouse from Node.js

The following example shows how to define a connection and execute queries to Greenhouse 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 Greenhouse (Greenhouse1)

Connect to Greenhouse 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: 'Greenhouse1'
	}
}

sql.connect(config, err => { 
    if(err){
        throw err ;
    }
    new sql.Request().query('SELECT * FROM Applications', (err, result) => {
        console.dir(result)
    })
        
});

sql.on('error', err => {
    console.log("SQL Error: " ,err);
})

Ready to get started?

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