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Integrate Jira data with visual data analysis tools and data connection wizards in DBVisualizer
The CData JDBC Driver for Jira implements JDBC standards to provide connectivity to Jira data in applications ranging from business intelligence tools to IDEs. This article shows how to establish a connection to Jira data in DBVisualizer and use the table editor to load Jira data.
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
Create a New Driver Definition for Jira Data
Follow the steps below to use the Driver Manager to provide connectivity to Jira data from DBVisualizer tools.
- In DBVisualizer, click Tools -> Driver Manager.
- Click the plus sign "" to create a new driver.
- Select "Custom" as the template.
- On the Driver Settings tab:
- Set Name to a user-friendly name (e.g. "CData Jira Driver")
- Set URL Format to jdbc:jira:
- In Driver artifacts and jar files (jars are loaded in order from top):
- Click the plus sign "" -> "Add Files"
- Navigate to the "lib" folder in the installation directory (C:\Program Files\CData[product_name] XXXX\)
- Select the JAR file (cdata.jdbc.JIRA.jar) and click "Open"
- The Driver Class should populate automatically. If not, select class (cdata.jdbc.jira.JIRADriver).
Define the Connection to the JDBC Data Source
Close the "Driver Manager" and follow the steps below to save connection properties in the JDBC URL.
- In the "Databases" tab, click the plus sign "" and select the driver you just created.
In the "Connection" section, set the following options:
- Database Type: If you selected the wizard option, the database type is automatically detected. If you selected the "No Wizard" option, select the Generic or Auto Detect option in the Database Type menu.
- Driver Type: Select the driver you just created.
Database URL: Enter the full JDBC URL. The syntax of the JDBC URL is jdbc:jira: followed by the connection properties in a semicolon-separated list of name-value pairs.
To connect to JIRA, provide the User and Password. Additionally, provide the Url; for example, https://yoursitename.atlassian.net.
Built-in Connection String Designer
For assistance in 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.
When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
A typical connection string is below:
jdbc:jira:User=admin;Password=123abc;Url=https://yoursitename.atlassian.net;
- NOTE: Database Userid and Database Password correspond with the User and Password properties for Jira.
- On the Connection tab, click Connect.
To browse through tables exposed by the Jira JDBC Driver, right-click a table and click "Open in New Tab."
To execute SQL queries, use the SQL Commander tool: Click SQL Commander -> New SQL Commander. Select the Database Connection, Database, and Schema from the available menus.
See the "Supported SQL" chapter in the help documentation for more information on the supported SQL. See the "Data Model" chapter for table-specific information.