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HULFT Integrate is a modern data integration platform that provides a drag-and-drop user interface to create cooperation flows, data conversion, and processing so that complex data connections are easier than ever to execute. When paired with the CData JDBC Driver for Jira, HULFT Integrate can work with live Jira data. This article explains how to connect to Jira and move the data into a CSV file.
With built-in optimized data processing, the CData JDBC driver offers unmatched performance for interacting with live Jira data. When you issue complex SQL queries to Jira, the driver pushes supported SQL operations, like filters and aggregations, directly to Jira and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Jira data using native data types.
CData simplifies access and integration of live Jira data. Our customers leverage CData connectivity to:
Most users leverage CData solutions to integrate Jira data with their database or data warehouse, whether that's using CData Sync directly or relying on CData's compatibility with platforms like SSIS or Azure Data Factory. Others are looking to get analytics and reporting on live Jira data from preferred analytics tools like Tableau and Power BI.
Learn more about how customers are seamlessly connecting to their Jira data to solve business problems from our blog: Drivers in Focus: Collaboration Tools.
To enable access to Jira data from HULFT Integrate projects:
Once you copy the JAR files, you can create a project with access to Jira data. Start by opening Integrate Studio and creating a new project.
Once you create the project, add components to the script to copy Jira data to a CSV file.
Drag an "Execute Select SQL" component from the Tool Palette (Database -> JDBC) into the Script workspace.
For assistance constructing the JDBC URL, use the connection string designer built into the Jira JDBC Driver. Either double-click the JAR file or execute the JAR file from the command-line.
java -jar cdata.jdbc.jira.jar
Fill in the connection properties and copy the connection string to the clipboard.
To connect to JIRA, provide the User and Password. Additionally, provide the Url; for example, https://yoursitename.atlassian.net.
๐ Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)SELECT Summary, TimeSpent FROM Issues
Drag a "Write CSV File" component from the Tool Palette (File -> CSV) onto the workspace.
Map each column from the "Select" component to the corresponding column for the "CSV" component.
Drag the "Start" component onto the "Select" component and the "CSV" component onto the "End" component. Build the script and run the script to move Jira data into a CSV file.
๐ A completed script.Download a free, 30-day trial of the CData JDBC Driver for Jira and start working with your live Jira data in HULFT Integrate. Reach out to our Support Team if you have any questions.
Download a free trial of the Jira Driver to get started:
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๐ Jira IconRapidly create and deploy powerful Java applications that integrate with Jira including Customers, Inventory, Products, Orders, and more!