Analyze SAP Business Warehouse Data in R via JDBC

Access SAP Business Warehouse 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 SAP Business Warehouse and the RJDBC 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 and visualize SAP Business Warehouse 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 SAP Business Warehouse as a JDBC Data Source

You will need the following information to connect to SAP Business Warehouse as a JDBC data source:

• Driver Class: Set this to cdata.jdbc.sapbusinesswarehouse.SAPBusinessWarehouseDriver
• 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 SAP Business Warehouse:

driver <- JDBC(driverClass = "cdata.jdbc.sapbusinesswarehouse.SAPBusinessWarehouseDriver", classPath = "MyInstallationDir\lib\cdata.jdbc.sapbusinesswarehouse.jar", identifier.quote = "'") 

You can now use DBI functions to connect to SAP Business Warehouse and execute SQL queries. Initialize the JDBC connection with the dbConnect function.

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.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the SAP Business Warehouse JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.sapbusinesswarehouse.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:sapbusinesswarehouse:URL=https://mysapserver:8000;AuthScheme=Basic;User=username;Password=password;")

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:

dbListTables(conn)

Execute SQL Queries

You can use the dbGetQuery function to execute any SQL query supported by the SAP Business Warehouse API:

sales <- dbGetQuery(conn,"SELECT CustomerCount, City FROM Sales WHERE Country = 'US'")

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)