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You can use CData Connect AI to query Microsoft Teams data through a SQL Server interface. Follow the procedure below to create a virtual database for Microsoft Teams in Connect AI and start querying using Node.js.
CData Connect AI provides a pure MySQL, cloud-to-cloud interface for Microsoft Teams, allowing you to easily query live Microsoft Teams 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 Microsoft Teams, leveraging server-side processing to quickly return Microsoft Teams data.
Connectivity to Microsoft Teams from NodeJS is made possible through CData Connect AI. To work with Microsoft Teams data from NodeJS, we start by creating and configuring a Microsoft Teams connection.
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.
With the connection configured and a PAT generated, you are ready to connect to Microsoft Teams data from Node.js.
The following example shows how to define a connection and execute queries to Microsoft Teams with the SQL Server module. You will need the following information:
Connect to Microsoft Teams 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: 'MSTeams1'
}
}
sql.connect(config, err => {
if(err){
throw err ;
}
new sql.Request().query('SELECT * FROM Teams', (err, result) => {
console.dir(result)
})
});
sql.on('error', err => {
console.log("SQL Error: " ,err);
})
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