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

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

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

Configure Bugsnag Connectivity for NodeJS

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

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select "Bugsnag" from the Add Connection panel

3. Enter the necessary authentication properties to connect to Bugsnag.

   Start by setting the Profile connection property to the location of the Bugsnag Profile on disk (e.g. C:\profiles\Bugsnag.apip). Next, set the ProfileSettings connection property to the connection string for Bugsnag (see below).

   Bugsnag API Profile Settings

   Generate your Personal Auth Token in BugSnag under My Account settings.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Bugsnag Connection page and update the User-based 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 Personal Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create.
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 Bugsnag data from Node.js.

Query Bugsnag from Node.js

The following example shows how to define a connection and execute queries to Bugsnag 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 Bugsnag (API1)

Connect to Bugsnag 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: 'API1'
    }
}

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

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