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Execute SQL Server queries against Snowflake data from Node.js.
You can use CData Connect Cloud to query Snowflake data through a SQL Server interface. Follow the procedure below to create a virtual database for Snowflake in Connect Cloud and start querying using Node.js.
CData Connect Cloud provides a pure MySQL, cloud-to-cloud interface for Snowflake, allowing you to easily query live Snowflake data in Node.js — without replicating the data to a natively supported database. As you query data in Node.js, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc) directly to Snowflake, leveraging server-side processing to quickly return Snowflake data.
About Snowflake Data Integration
CData simplifies access and integration of live Snowflake data. Our customers leverage CData connectivity to:
- Reads and write Snowflake data quickly and efficiently.
- Dynamically obtain metadata for the specified Warehouse, Database, and Schema.
- Authenticate in a variety of ways, including OAuth, OKTA, Azure AD, Azure Managed Service Identity, PingFederate, private key, and more.
Many CData users use CData solutions to access Snowflake from their preferred tools and applications, and replicate data from their disparate systems into Snowflake for comprehensive warehousing and analytics.
For more information on integrating Snowflake with CData solutions, refer to our blog: https://www.cdata.com/blog/snowflake-integrations.
Getting Started
Configure Snowflake Connectivity for NodeJS
Connectivity to Snowflake from NodeJS is made possible through CData Connect Cloud. To work with Snowflake data from NodeJS, we start by creating and configuring a Snowflake connection.
- Log into Connect Cloud, click Connections and click Add Connection
- Select "Snowflake" from the Add Connection panel
-
Enter the necessary authentication properties to connect to Snowflake.
To connect to Snowflake:
- Set User and Password to your Snowflake credentials and set the AuthScheme property to PASSWORD or OKTA.
- Set URL to the URL of the Snowflake instance (i.e.: https://myaccount.snowflakecomputing.com).
- Set Warehouse to the Snowflake warehouse.
- (Optional) Set Account to your Snowflake account if your URL does not conform to the format above.
- (Optional) Set Database and Schema to restrict the tables and views exposed.
See the Getting Started guide in the CData driver documentation for more information.
- Click Create & Test
- Navigate to the Permissions tab in the Add Snowflake Connection page and update the User-based permissions.
Add a Personal Access Token
If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.
- Click on your username at the top right of the Connect Cloud app and click User Profile.
- On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
- Give your PAT a name and click Create.
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
With the connection configured, you are ready to connect to Snowflake data from Node.js.
Query Snowflake from Node.js
The following example shows how to define a connection and execute queries to Snowflake with the SQL Server module. You will need the following information:
- server: tds.cdata.com
- port: 14333
- user: a Connect Cloud user (e.g. user@mydomain.com)
- password: the PAT for the above user
- database: The connection you configured for Snowflake (Snowflake1)
Connect to Snowflake data and start executing queries with the code below:
var sql = require('mssql') var config = { server: 'tds.cdata.com', port: 14333, user: 'user@mydomain.com', //update me password: 'CONNECT_USER_PAT', //update me options: { encrypt: true, database: 'Snowflake1' } } sql.connect(config, err => { if(err){ throw err ; } new sql.Request().query('SELECT * FROM Products', (err, result) => { console.dir(result) }) }); sql.on('error', err => { console.log("SQL Error: " ,err); })