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Get the Report →Analyze Active Directory Data in R
Create data visualizations and use high-performance statistical functions to analyze Active Directory data in Microsoft R Open.
Access Active Directory data with pure R script and standard SQL. You can use the CData ODBC Driver for Active Directory and the RODBC package to work with remote Active Directory 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 Active Directory data and visualize Active Directory 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 Active Directory as an ODBC Data Source
Information for connecting to Active Directory follows, along with different instructions for configuring a DSN in Windows and Linux environments.
To establish a connection, set the following properties:
- Valid User and Password credentials (e.g., Domain\BobF or cn=Bob F,ou=Employees,dc=Domain).
- Server information, including the IP or host name of the Server, as well as the Port.
BaseDN: This will limit the scope of LDAP searches to the height of the distinguished name provided.
Note: Specifying a narrow BaseDN may greatly increase performance; for example, cn=users,dc=domain will only return results contained within cn=users and its children.
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 Active Directory 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 ActiveDirectory Source]
Driver = CData ODBC Driver for Active Directory
Description = My Description
User = cn = Bob F,ou = Employees,dc = Domain
Password = bob123
Server = 10.0.1.2
Port = 389
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 Active Directory Data as an ODBC Data Source
You can connect to a DSN in R with the following line:
conn <- odbcConnect("CData ActiveDirectory Source")
Schema Discovery
The driver models Active Directory 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 Active Directory API.
user <- sqlQuery(conn, "SELECT Id, LogonCount FROM User", believeNRows=FALSE, rows_at_time=1)
You can view the results in a data viewer window with the following command:
View(user)
Plot Active Directory Data
You can now analyze Active Directory 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(user$LogonCount, main="Active Directory User", names.arg = user$Id, horiz=TRUE)
