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You can use CData Connect AI to query Azure Table data through a SQL Server interface. Follow the procedure below to create a virtual database for Azure Table in Connect AI and start querying using Node.js.
CData Connect AI provides a pure MySQL, cloud-to-cloud interface for Azure Table, allowing you to easily query live Azure Table 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 Azure Table, leveraging server-side processing to quickly return Azure Table data.
Connectivity to Azure Table from NodeJS is made possible through CData Connect AI. To work with Azure Table data from NodeJS, we start by creating and configuring a Azure Table connection.
Specify your AccessKey and your Account to connect. Set the Account property to the Storage Account Name and set AccessKey to one of the Access Keys. Either the Primary or Secondary Access Keys can be used. To obtain these values, navigate to the Storage Accounts blade in the Azure portal. You can obtain the access key by selecting your account and clicking Access Keys in the Settings section.
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 Azure Table data from Node.js.
The following example shows how to define a connection and execute queries to Azure Table with the SQL Server module. You will need the following information:
Connect to Azure Table 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: 'AzureTables1'
}
}
sql.connect(config, err => {
if(err){
throw err ;
}
new sql.Request().query('SELECT * FROM NorthwindProducts', (err, result) => {
console.dir(result)
})
});
sql.on('error', err => {
console.log("SQL Error: " ,err);
})
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