How to create an RPA flow for Amazon Athena 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 Amazon Athena, users can embed Amazon Athena data in the workflow.

This article walks through using the Amazon Athena ODBC Driver in UiPath Studio to create an RPA program that accesses Amazon Athena data.

Configure the Connection to Amazon Athena

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.

Authenticating to Amazon Athena

To authorize Amazon Athena requests, provide the credentials for an administrator account or for an IAM user with custom permissions: Set AccessKey to the access key Id. Set SecretKey to the secret access key.

Note: Though you can connect as the AWS account administrator, it is recommended to use IAM user credentials to access AWS services.

Obtaining the Access Key

To obtain the credentials for an IAM user, follow the steps below:

1. Sign into the IAM console.
2. In the navigation pane, select Users.
3. To create or manage the access keys for a user, select the user and then select the Security Credentials tab.

To obtain the credentials for your AWS root account, follow the steps below:

1. Sign into the AWS Management console with the credentials for your root account.
2. Select your account name or number and select My Security Credentials in the menu that is displayed.
3. Click Continue to Security Credentials and expand the Access Keys section to manage or create root account access keys.

Authenticating from an EC2 Instance

If you are using the CData Data Provider for Amazon Athena 2018 from an EC2 Instance and have an IAM Role assigned to the instance, you can use the IAM Role to authenticate. To do so, set UseEC2Roles to true and leave AccessKey and SecretKey empty. The CData Data Provider for Amazon Athena 2018 will automatically obtain your IAM Role credentials and authenticate with them.

Authenticating as an AWS Role

In many situations it may be preferable to use an IAM role for authentication instead of the direct security credentials of an AWS root user. An AWS role may be used instead by specifying the RoleARN. This will cause the CData Data Provider for Amazon Athena 2018 to attempt to retrieve credentials for the specified role. If you are connecting to AWS (instead of already being connected such as on an EC2 instance), you must additionally specify the AccessKey and SecretKey of an IAM user to assume the role for. Roles may not be used when specifying the AccessKey and SecretKey of an AWS root user.

Authenticating with MFA

For users and roles that require Multi-factor Authentication, specify the MFASerialNumber and MFAToken connection properties. This will cause the CData Data Provider for Amazon Athena 2018 to submit the MFA credentials in a request to retrieve temporary authentication credentials. Note that the duration of the temporary credentials may be controlled via the TemporaryTokenDuration (default 3600 seconds).

Connecting to Amazon Athena

In addition to the AccessKey and SecretKey properties, specify Database, S3StagingDirectory and Region. Set Region to the region where your Amazon Athena data is hosted. Set S3StagingDirectory to a folder in S3 where you would like to store the results of queries.

If Database is not set in the connection, the data provider connects to the default database set in Amazon Athena.

Connect UiPath Studio to Amazon Athena Data

Now you are ready to use Amazon Athena 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.
   1. Click the Connection Wizard
   2. Select "Microsoft ODBC Data Source"
   3. In Connection Properties, select your DSN (CData AmazonAthena Source) and click OK
6. To store Connection info, create a variable and bind to Output in the Properties section. Choose DatabaseConnection in Output.
   

Create an Execute Query Activity

With the connection configured, we are ready to query Amazon Athena 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 Name, TotalDue FROM Customers
   • DataTable: Create and use a variable with the Type System.Data.DataTable

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 Amazon Athena 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 Amazon Athena data and exporting it to CSV.

Click Run to extract Amazon Athena data and create a CSV file.

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