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Connect to real-time Jira data in SAS for reporting, analytics, and visualizations using the CData ODBC Driver for Jira.
SAS is a software suite developed for advanced analytics, multivariate analysis, business intelligence, data management, and predictive analytics. When you pair SAS with the CData ODBC Driver for Jira, you gain database-like access to live Jira data from SAS, expanding your reporting and analytics capabilities. This articles walks through creating a library for Jira in SAS and creating a simple report based on real-time Jira data.
The CData ODBC Driver offers unmatched performance for interacting with live Jira data in SAS due to optimized data processing built into the driver. When you issue complex SQL queries from SAS 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 (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can easily visualize and analyze Jira data in SAS.
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
Connect to Jira as an ODBC Data Source
Information for connecting to Jira follows, along with different instructions for configuring a DSN in Windows and Linux environments (the ODBC Driver for Jira must be installed on the machine hosting the SAS System).
To connect to JIRA, provide the User and Password. Additionally, provide the Url; for example, https://yoursitename.atlassian.net.
When you configure the DSN, 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.
Windows
If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.
Linux
If you are installing the CData ODBC Driver for Jira in a Linux environment, the driver installation predefines a system DSN. You can modify the DSN by editing the system data sources file (/etc/odbc.ini) and defining the required connection properties.
/etc/odbc.ini
[CData JIRA Sys]
Driver = CData ODBC Driver for Jira
Description = My Description
User = admin
Password = 123abc
Url = https://yoursitename.atlassian.net
For specific information on using these configuration files, please refer to the help documentation (installed and found online).
Create a Jira Library in SAS
Connect to Jira in SAS by adding a library based on the CData ODBC Driver for Jira.
- Open SAS and expand Libraries in the Explorer pane.
- In the Active Libraries window, right-click and select New.
- Name your library (odbclib), select ODBC as the Engine, and click to Enable at startup (if you want the library to persist between sessions).
- Set Data Source to the DSN you previously configured and click OK.
Create a View from a Jira Query
SAS natively supports querying data either using a low-code, point-and-click Query tool or programmatically with PROC SQL and a custom SQL query. When you create a View in SAS, the defining query is executed each time the view is queried. This means that you always query live Jira data for reports, charts, and analytics.
Using the Query Tool
- In SAS, click Tools -> Query
- Select the table sources and the table(s) you wish to pull data from. Then, click OK.
- Select columns and right-click to add filtering, ordering, grouping, etc.
- Create a local view to contain the query results by right-clicking the SQL Query Tool window, selecting Show Query, and clicking Create View. Name the View and click OK.
Using PROC SQL
- In SAS, navigate to the Editor window.
- Use PROC SQL to query the data and create a local view.
NOTE: This procedure creates a view in the Work library. You can optionally specify a library in the create view statement.proc sql; create view issues_view as select summary, timespent from odbclib.issues where ReporterDisplayName = 'Bob'; quit;
- Click Run -> Submit to execute the query and create a local view.
Report On or Visualize Jira Data in SAS
With a local view created, you can report, visualize, or otherwise analyze Jira data using the powerful SAS features. Print a simple report using PROC PRINT and create a basic graph based on the data using PROC GCHART.
Print an HTML Report
- In SAS, navigate to the Editor window.
- Use PROC PRINT to print an HTML report for the Jira Issues data.
proc print data=issues; title "Jira Issues Data"; run;
Print a Chart
- In SAS, navigate to the Editor window.
- Use PROC GCHART to create a chart for the Issues data.
proc gchart data=issues; pie summary / sumvar=timespent value=arrow percent=arrow noheading percent=inside plabel=(height=12pt) slice=inside value=none name='IssuesChart'; run;