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You can use CData Connect AI to query Trello data through a SQL Server interface. Follow the procedure below to create a virtual database for Trello in Connect AI and start querying using Node.js.
CData Connect AI provides a pure MySQL, cloud-to-cloud interface for Trello, allowing you to easily query live Trello 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 Trello, leveraging server-side processing to quickly return Trello data.
Connectivity to Trello from NodeJS is made possible through CData Connect AI. To work with Trello data from NodeJS, we start by creating and configuring a Trello connection.
Trello uses token-based authentication to grant third-party applications access to their API. When a user has granted an application access to their data, the application is given a token that can be used to make requests to Trello's API.
Trello's API can be accessed in 2 different ways. The first is using Trello's own Authorization Route, and the second is using OAuth1.0.
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 Trello data from Node.js.
The following example shows how to define a connection and execute queries to Trello with the SQL Server module. You will need the following information:
Connect to Trello 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: 'Trello1'
}
}
sql.connect(config, err => {
if(err){
throw err ;
}
new sql.Request().query('SELECT * FROM Boards', (err, result) => {
console.dir(result)
})
});
sql.on('error', err => {
console.log("SQL Error: " ,err);
})
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