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You can use CData Connect AI to query OneNote data through a SQL Server interface. Follow the procedure below to create a virtual database for OneNote in Connect AI and start querying using Node.js.
CData Connect AI provides a pure MySQL, cloud-to-cloud interface for OneNote, allowing you to easily query live OneNote 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 OneNote, leveraging server-side processing to quickly return OneNote data.
Connectivity to OneNote from NodeJS is made possible through CData Connect AI. To work with OneNote data from NodeJS, we start by creating and configuring a OneNote connection.
OneNote uses the OAuth authentication standard. To authenticate using OAuth, create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties. See the Help documentation for more information.
๐ Configuring a connection (Salesforce is shown)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 OneNote data from Node.js.
The following example shows how to define a connection and execute queries to OneNote with the SQL Server module. You will need the following information:
Connect to OneNote 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: 'OneNote1'
}
}
sql.connect(config, err => {
if(err){
throw err ;
}
new sql.Request().query('SELECT * FROM Notebooks', (err, result) => {
console.dir(result)
})
});
sql.on('error', err => {
console.log("SQL Error: " ,err);
})
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