How to create an RPA flow for Snowflake Data in UiPath Studio

UiPath is a Robotic Process Automation (RPA) platform with rich features and an easy-to-use UI that enables non-developers to create process automation. By using UiPath Studio, you can build an RPA program just like drawing a diagram. With the CData ODBC Driver for Snowflake, users can embed Snowflake data in the workflow.

This article explains how to use the Snowflake ODBC Driver in UiPath Studio to create an RPA program that accesses Snowflake data.

👁 Using the CData ODBC Data Sources in UiPath

Getting Started

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Configure the Connection to Snowflake

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

To connect to Snowflake:

1. Set User and Password to your Snowflake credentials and set the AuthScheme property to PASSWORD or OKTA.
2. Set URL to the URL of the Snowflake instance (i.e.: https://myaccount.snowflakecomputing.com).
3. Set Warehouse to the Snowflake warehouse.
4. (Optional) Set Account to your Snowflake account if your URL does not conform to the format above.
5. (Optional) Set Database and Schema to restrict the tables and views exposed.
6. (Optional) If MFA is enabled on your Snowflake account (via Duo Security), set MFACode to the passcode generated by your Duo authenticator app.

See the Getting Started guide in the CData driver documentation for more information.

Connect UiPath Studio to Snowflake Data

Now you are ready to use Snowflake data ODBC DSN in UiPath Studio with the following steps.

1. From the Start page, click Blank to create a New Project.
2. Click Manage Packages then search for and install UiPath.Database.Activities.
3. Navigate to the Activities and drop a Flowchart (Workflow -> Flowchart -> Flowchart) onto the process.
4. Drop a database Connect activity (App Integration -> Datbase -> Connect) after the Start activity.
5. Double-click the Connect activity and configure the Connection. 👁 Configure the Connect Activity
   
   1. Click the Connection Wizard
   2. Select "Microsoft ODBC Data Source"
   3. In Connection Properties, select your DSN (CData Snowflake Source) and click OK
6. To store Connection info, create a variable and bind to Output in the Properties section. Choose DatabaseConnection in Output.
   👁 Bind the Connection to the Output property.
   

Create an Execute Query Activity

With the connection configured, we are ready to query Snowflake data in our RPA.

1. From the Activities navigation, select Execute Query and drop it on the Flowchart.
2. Double-click the Execute Query activity and set the properties as follows:
   • ExistingDbConnection: Your Connection variable
   • Sql: SELECT statement like SELECT Id, ProductName FROM Products
   • DataTable: Create and use a variable with the Type System.Data.DataTable
   👁 Set the Query for the ODBC Driver.
   

Create Write CSV Activity

With the Connection and Execute Query activities configured, we are ready to add a Write CSV activity to the Flowchart to replicate the Snowflake data.

1. From the Activities navigation, select Write CSV and drop it after the Execute Query activity.
2. Double-click the Write CSV activity and set the properties as follows:
   • FilePath: Set to a file (new or existing) on disk (i.e.: C:\UiPath[id]-data.csv
   • DataTable: Set to the DataTable variable you created earlier

Connect the Activities and Run the Flowchart

If they are not already connected, connect each Activity that you created to complete the RPA project for extracting Snowflake data and exporting it to CSV.

👁 Connect each Activity in the Flowchart

Click Run to extract Snowflake data and create a CSV file.

👁 Running the RPA Flowchart

In this article, we used the CData ODBC Driver for Snowflake to create an automation flow that accesses Snowflake data in UiPath Studio. Download a free, 30-day trial of the ODBC Driver and start working with live Snowflake data in UiPath Studio today!