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Get the Report →Analyze Jira Service Management Data in R
Create data visualizations and use high-performance statistical functions to analyze Jira Service Management data in Microsoft R Open.
Access Jira Service Management data with pure R script and standard SQL. You can use the CData ODBC Driver for Jira Service Management and the RODBC package to work with remote Jira Service Management data in R. By using the CData Driver, you are leveraging a driver written for industry-proven standards to access your data in the popular, open-source R language. This article shows how to use the driver to execute SQL queries to Jira Service Management data and visualize Jira Service Management data in R.
Install R
You can complement the driver's performance gains from multi-threading and managed code by running the multithreaded Microsoft R Open or by running R linked with the BLAS/LAPACK libraries. This article uses Microsoft R Open (MRO).
Connect to Jira Service Management as an ODBC Data Source
Information for connecting to Jira Service Management follows, along with different instructions for configuring a DSN in Windows and Linux environments.
You can establish a connection to any Jira Service Desk Cloud account or Server instance.
Connecting with a Cloud Account
To connect to a Cloud account, you'll first need to retrieve an APIToken. To generate one, log in to your Atlassian account and navigate to API tokens > Create API token. The generated token will be displayed.
Supply the following to connect to data:
- User: Set this to the username of the authenticating user.
- APIToken: Set this to the API token found previously.
Connecting with a Service Account
To authenticate with a service account, you will need to supply the following connection properties:
- User: Set this to the username of the authenticating user.
- Password: Set this to the password of the authenticating user.
- URL: Set this to the URL associated with your JIRA Service Desk endpoint. For example, https://yoursitename.atlassian.net.
Note: Password has been deprecated for connecting to a Cloud Account and is now used only to connect to a Server Instance.
Accessing Custom Fields
By default, the connector only surfaces system fields. To access the custom fields for Issues, set IncludeCustomFields.
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 Service Management 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 JiraServiceDesk Source]
Driver = CData ODBC Driver for Jira Service Management
Description = My Description
ApiKey = myApiKey
User = MyUser
For specific information on using these configuration files, please refer to the help documentation (installed and found online).
Load the RODBC Package
To use the driver, download the RODBC package. In RStudio, click Tools -> Install Packages and enter RODBC in the Packages box.
After installing the RODBC package, the following line loads the package:
library(RODBC)
Note: This article uses RODBC version 1.3-12. Using Microsoft R Open, you can test with the same version, using the checkpoint capabilities of Microsoft's MRAN repository. The checkpoint command enables you to install packages from a snapshot of the CRAN repository, hosted on the MRAN repository. The snapshot taken Jan. 1, 2016 contains version 1.3-12.
library(checkpoint)
checkpoint("2016-01-01")
Connect to Jira Service Management Data as an ODBC Data Source
You can connect to a DSN in R with the following line:
conn <- odbcConnect("CData JiraServiceDesk Source")
Schema Discovery
The driver models Jira Service Management APIs as relational tables, views, and stored procedures. Use the following line to retrieve the list of tables:
sqlTables(conn)
Execute SQL Queries
Use the sqlQuery function to execute any SQL query supported by the Jira Service Management API.
requests <- sqlQuery(conn, "SELECT RequestId, ReporterName FROM Requests WHERE CurrentStatus = 'Open'", believeNRows=FALSE, rows_at_time=1)
You can view the results in a data viewer window with the following command:
View(requests)
Plot Jira Service Management Data
You can now analyze Jira Service Management data with any of the data visualization packages available in the CRAN repository. You can create simple bar plots with the built-in bar plot function:
par(las=2,ps=10,mar=c(5,15,4,2))
barplot(requests$ReporterName, main="Jira Service Management Requests", names.arg = requests$RequestId, horiz=TRUE)