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Access PagerDuty data with pure R script and standard SQL. You can use the CData ODBC Driver for PagerDuty and the RODBC package to work with remote PagerDuty 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 PagerDuty data and visualize PagerDuty data in 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).
Information for connecting to PagerDuty follows, along with different instructions for configuring a DSN in Windows and Linux environments.
Start by setting the Profile connection property to the location of the PagerDuty Profile on disk (e.g. C:\profiles\PagerDuty.apip). Next, set the ProfileSettings connection property to the connection string for PagerDuty (see below).
Register an OAuth application via PagerDuty's Developer Mode to obtain a Client ID and Client Secret. The callback URL must match the redirect URI configured in your app settings.
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.
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.
If you are installing the CData ODBC Driver for PagerDuty 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.
[CData API Source] Driver = CData ODBC Driver for PagerDuty Description = My Description Profile = C:\profiles\PagerDuty.apip Authscheme = OAuth OAuthClientId = your_client_id OAuthClientSecret = your_client_secret CallbackUrl = your_callback_url
For specific information on using these configuration files, please refer to the help documentation (installed and found online).
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")
You can connect to a DSN in R with the following line:
conn <- odbcConnect("CData API Source")
The driver models PagerDuty APIs as relational tables, views, and stored procedures. Use the following line to retrieve the list of tables:
sqlTables(conn)
Use the sqlQuery function to execute any SQL query supported by the PagerDuty API.
addons <- sqlQuery(conn, "SELECT Id, Type FROM Addons WHERE Type = 'full_page_addon'", believeNRows=FALSE, rows_at_time=1)
You can view the results in a data viewer window with the following command:
View(addons)
You can now analyze PagerDuty 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(addons$Type, main="PagerDuty Addons", names.arg = addons$Id, horiz=TRUE)👁 A basic bar plot. (Salesforce is shown.)
Connect to live data from PagerDuty with the API Driver
Connect to PagerDuty