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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 Apache Spark, users can embed Spark data in the workflow.
This article explains how to use the Spark ODBC Driver in UiPath Studio to create an RPA program that accesses Spark data.
π Using the CData ODBC Data Sources in UiPathIf 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.
Set the Server, Database, User, and Password connection properties to connect to SparkSQL.
Now you are ready to use Spark data ODBC DSN in UiPath Studio with the following steps.
With the connection configured, we are ready to query Spark data in our RPA.
With the Connection and Execute Query activities configured, we are ready to add a Write CSV activity to the Flowchart to replicate the Spark data.
If they are not already connected, connect each Activity that you created to complete the RPA project for extracting Spark data and exporting it to CSV.
π Connect each Activity in the FlowchartClick Run to extract Spark data and create a CSV file.
π Running the RPA FlowchartIn this article, we used the CData ODBC Driver for Apache Spark to create an automation flow that accesses Spark data in UiPath Studio. Download a free, 30-day trial of the ODBC Driver and start working with live Spark data in UiPath Studio today!
Download a free trial of the Apache Spark ODBC Driver to get started:
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π Apache Spark IconThe Spark ODBC Driver is a powerful tool that allows you to connect with Apache Spark, directly from any applications that support ODBC connectivity.
The Driver maps SQL to Spark SQL, enabling direct standard SQL-92 access to Apache Spark.