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Try them now for free →How to pipe Jira Data to CSV in PowerShell
Use standard PowerShell cmdlets to access Jira tables.
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.
About Jira Data Integration
CData simplifies access and integration of live Jira data. Our customers leverage CData connectivity to:
- Gain bi-directional access to their Jira objects like issues, projects, and workflows.
- Use SQL stored procedures to perform functional actions like changing issues status, creating custom fields, download or uploading an attachment, modifying or retrieving time tracking settings, and more.
- Authenticate securely using a variety of methods, including username and password, OAuth, personal access token, API token, Crowd or OKTA SSO, LDAP, and more.
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.
Getting Started
Creating a Connection to Your Jira Data
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"
Selecting Data
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.