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You can use CData Connect AI to query Cosmos DB data through a SQL Server interface. Follow the procedure below to create a virtual database for Cosmos DB in Connect AI and start querying using Node.js.
CData Connect AI provides a pure MySQL, cloud-to-cloud interface for Cosmos DB, allowing you to easily query live Cosmos DB 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 Cosmos DB, leveraging server-side processing to quickly return Cosmos DB data.
Connectivity to Cosmos DB from NodeJS is made possible through CData Connect AI. To work with Cosmos DB data from NodeJS, we start by creating and configuring a Cosmos DB connection.
To obtain the connection string needed to connect to a Cosmos DB account using the SQL API, log in to the Azure Portal, select Azure Cosmos DB, and select your account. In the Settings section, click Connection String and set the following values:
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 Cosmos DB data from Node.js.
The following example shows how to define a connection and execute queries to Cosmos DB with the SQL Server module. You will need the following information:
Connect to Cosmos DB 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: 'CosmosDB1'
}
}
sql.connect(config, err => {
if(err){
throw err ;
}
new sql.Request().query('SELECT * FROM Customers', (err, result) => {
console.dir(result)
})
});
sql.on('error', err => {
console.log("SQL Error: " ,err);
})
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