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Get the Report →Analyze Okta Data in R
Use standard R functions and the development environment of your choice to analyze Okta data with the CData JDBC Driver for Okta.
Access Okta data with pure R script and standard SQL on any machine where R and Java can be installed. You can use the CData JDBC Driver for Okta and the RJDBC package to work with remote Okta 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 Okta and visualize Okta data by calling standard R functions.
Install R
You can match the driver's performance gains from multi-threading and managed code by running the multithreaded Microsoft R Open or by running open R linked with the BLAS/LAPACK libraries. This article uses Microsoft R Open 3.2.3, which is preconfigured to install packages from the Jan. 1, 2016 snapshot of the CRAN repository. This snapshot ensures reproducibility.
Load the RJDBC Package
To use the driver, download the RJDBC package. After installing the RJDBC package, the following line loads the package:
library(RJDBC)
Connect to Okta as a JDBC Data Source
You will need the following information to connect to Okta as a JDBC data source:
- Driver Class: Set this to cdata.jdbc.okta.OktaDriver
- Classpath: Set this to the location of the driver JAR. By default this is the lib subfolder of the installation folder.
The DBI functions, such as dbConnect and dbSendQuery, provide a unified interface for writing data access code in R. Use the following line to initialize a DBI driver that can make JDBC requests to the CData JDBC Driver for Okta:
driver <- JDBC(driverClass = "cdata.jdbc.okta.OktaDriver", classPath = "MyInstallationDir\lib\cdata.jdbc.okta.jar", identifier.quote = "'")
You can now use DBI functions to connect to Okta and execute SQL queries. Initialize the JDBC connection with the dbConnect function.
To connect to Okta, set the Domain connection string property to your Okta domain.
You will use OAuth to authenticate with Okta, so you need to create a custom OAuth application.
Creating a Custom OAuth Application
From your Okta account:
- Sign in to your Okta developer edition organization with your administrator account.
- In the Admin Console, go to Applications > Applications.
- Click Create App Integration.
- For the Sign-in method, select OIDC - OpenID Connect.
- For Application type, choose Web Application.
- Enter a name for your custom application.
- Set the Grant Type to Authorization Code. If you want the token to be automatically refreshed, also check Refresh Token.
- Set the callback URL:
- For desktop applications and headless machines, use http://localhost:33333 or another port number of your choice. The URI you set here becomes the CallbackURL property.
- For web applications, set the callback URL to a trusted redirect URL. This URL is the web location the user returns to with the token that verifies that your application has been granted access.
- In the Assignments section, either select Limit access to selected groups and add a group, or skip group assignment for now.
- Save the OAuth application.
- The application's Client Id and Client Secret are displayed on the application's General tab. Record these for future use. You will use the Client Id to set the OAuthClientId and the Client Secret to set the OAuthClientSecret.
- Check the Assignments tab to confirm that all users who must access the application are assigned to the application.
- On the Okta API Scopes tab, select the scopes you wish to grant to the OAuth application. These scopes determine the data that the app has permission to read, so a scope for a particular view must be granted for the driver to have permission to query that view. To confirm the scopes required for each view, see the view-specific pages in Data Model < Views in the Help documentation.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Okta JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.okta.jar
Fill in the connection properties and copy the connection string to the clipboard.
Below is a sample dbConnect call, including a typical JDBC connection string:
conn <- dbConnect(driver,"jdbc:okta:Domain=dev-44876464.okta.com;InitiateOAuth=GETANDREFRESH")
Schema Discovery
The driver models Okta APIs as relational tables, views, and stored procedures. Use the following line to retrieve the list of tables:
dbListTables(conn)
Execute SQL Queries
You can use the dbGetQuery function to execute any SQL query supported by the Okta API:
users <- dbGetQuery(conn,"SELECT Id, ProfileFirstName FROM Users WHERE Status = 'Active'")
You can view the results in a data viewer window with the following command:
View(users)
Plot Okta Data
You can now analyze Okta 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(users$ProfileFirstName, main="Okta Users", names.arg = users$Id, horiz=TRUE)