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URL: https://www.cdata.com/kb/tech/jira-cloud-linked-server.rst

⇱ Connect to Jira Data as a SQL Server Linked Server

Connect to Jira Data as a SQL Server Linked Server

👁 Dibyendu Datta
Dibyendu Datta
Lead Technology Evangelist
Use CData Connect AI to create a linked server for live Jira data.

SQL Server Linked Servers enable the SQL Server Database Engine to read data from remote data sources and execute commands against the remote database servers outside of the instance of SQL Server. Typically, linked servers are configured to enable the execution of a T-SQL statement that includes tables in another instance of SQL Server, or another database product such as Oracle. When paired with CData Connect AI, linked servers provides instant access to Jira data from your SQL Server database. This article demonstrates how to connect to Jira using Connect AI and query Jira data in SQL Server Management Studio (SSMS).

CData Connect AI provides a pure SQL Server interface for Jira, allowing you to query data from Jira without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to Jira, leveraging server-side processing to return the requested Jira data quickly.

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


Configure Jira Connectivity for SQL Server

Connectivity to Jira from SQL Linked Servers is made possible through CData Connect AI. To work with Jira data from SQL Linked Servers, we start by creating and configuring a Jira connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
    2. 👁 Adding a Connection
  2. Select "Jira" from the Add Connection panel
    3. 👁 Selecting a data source
  3. Enter the necessary authentication properties to connect to Jira.

    To connect to JIRA, provide the User and Password. Additionally, provide the Url; for example, https://yoursitename.atlassian.net.

    👁 Configuring a connection (Salesforce is shown)
  4. Click Save & Test
  5. Navigate to the Permissions tab in the Add Jira Connection page and update the User-based permissions. 👁 Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. 👁 Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Jira data from .

Connect to Jira from SQL Server using Connect AI

To establish a connection from SQL Server Linked Server to the CData Connect AI Virtual SQL Server API, follow these steps.

  1. Open Microsoft SQL Server Management Studio.
  2. In the Object Explorer pane, open Server Objects, right-click Linked Servers, and select New Linked Server.
    3. 👁 Selecting new linked server
  3. The New Linked Server dialogue opens. On the General page, enter the following information:
    • Enter a name for the server in the Linked server field.
    • Select the radio button Other data source and select SQL Server Native Client 11.0 as the provider.
    • In the Data source field, enter tds.cdata.com,14333
    • In the Catalog field, enter enter the Connection Name of the CData Connect AI data source you want to connect to (for example, JIRA1).
      • 👁 Configuring the new linked server
  4. Select the Security page. At the bottom, select the radio button labeled Be made using this security context and enter the following information:
    • Remote login - enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
    • With password - enter the PAT you generated on the Settings page.
      • 👁 Entering credentials
  5. Click OK to create the server.
    6. Your linked server can now be used to access the data in the data source you specified. If you need to access data from more sources, create another linked server for each one.

Execute Queries

You can now execute queries to the Jira linked server from any tool that can connect to SQL Server. An example SQL query would be: 

		SELECT * FROM [CDATA CONNECT CLOUD].[JIRA1].[JIRA].[Issues]
👁 Querying live data in SQL Server Management Studio (Excel Online is shown)
We have successfully created a linked server that allows us to query Jira data.

Get CData Connect AI

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