Analyze SAP Business Warehouse Data in R via ODBC

Access SAP Business Warehouse data with pure R script and standard SQL. You can use the CData ODBC Driver for SAP Business Warehouse and the RODBC package to work with remote SAP Business Warehouse 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 SAP Business Warehouse data and visualize SAP Business Warehouse 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 SAP Business Warehouse as an ODBC Data Source

Information for connecting to SAP Business Warehouse follows, along with different instructions for configuring a DSN in Windows and Linux environments.

To connect to SAP Business Warehouse, set the URL property to a valid SAP Business Warehouse server base URL. The driver must connect to SAP Business Warehouse instances hosted over HTTP with XMLA access.

The driver supports the following authentication schemes via the AuthScheme property:

• None: Anonymous authentication, if available on the server.
• Basic: Set User and Password and set AuthScheme to Basic.
• Kerberos: See the Using Kerberos section of the help documentation for the required Kerberos properties.

By default, the driver attempts to negotiate SSL/TLS by checking the server's certificate against the system's trusted certificate store. To specify another certificate, see the SSLServerCert property for the available formats.

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 SAP Business Warehouse 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 SAPBusinessWarehouse Source]
Driver = CData ODBC Driver for SAP Business Warehouse
Description = My Description
URL = https://mysapserver:8000
AuthScheme = Basic
User = username
Password = password

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 SAP Business Warehouse Data as an ODBC Data Source

You can connect to a DSN in R with the following line:

conn <- odbcConnect("CData SAPBusinessWarehouse Source")

Schema Discovery

The driver models SAP Business Warehouse 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 SAP Business Warehouse API.

sales <- sqlQuery(conn, "SELECT CustomerCount, City FROM Sales WHERE Country = 'US'", believeNRows=FALSE, rows_at_time=1)

You can view the results in a data viewer window with the following command:

View(sales)

Plot SAP Business Warehouse Data

You can now analyze SAP Business Warehouse 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(sales$City, main="SAP Business Warehouse Sales", names.arg = sales$CustomerCount, horiz=TRUE)