![]() |
VOOZH | about |
The CData Cmdlets Module for Jira is a standard PowerShell module offering straightforward integration with Jira. Below, you will find examples of using our JIRA Cmdlets with native PowerShell cmdlets.
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 connect to JIRA, provide the User and Password. Additionally, provide the Url; for example, https://yoursitename.atlassian.net.
$conn = Connect-JIRA -User "$User" -Password "$Password" -Url "$Url"
Follow the steps below to retrieve data from the Issues table and pipe the result into to a CSV file:
Select-JIRA -Connection $conn -Table Issues | Select -Property * -ExcludeProperty Connection,Table,Columns | Export-Csv -Path c:\myIssuesData.csv -NoTypeInformation
You will notice that we piped the results from Select-JIRA into a Select-Object cmdlet and excluded some properties before piping them into an Export-Csv cmdlet. We do this because the CData Cmdlets append Connection, Table, and Columns information onto each "row" in the result set, and we do not necessarily want that information in our CSV file.
The Connection, Table, and Columns are appended to the results in order to facilitate piping results from one of the CData Cmdlets directly into another one.Download a free trial of the Jira Cmdlets to get started:
Download NowLearn more:
👁 Jira IconAn easy-to-use set of PowerShell Cmdlets offering real-time access to Jira data. The Cmdlets allow users to easily read, write, update, and delete live data - just like working with SQL server.