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Access Salesforce Pardot 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 Salesforce Pardot and the RJDBC package to work with remote Salesforce Pardot 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 Salesforce Pardot and visualize Salesforce Pardot data by calling standard R functions.
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.
To use the driver, download the RJDBC package. After installing the RJDBC package, the following line loads the package:
library(RJDBC)
You will need the following information to connect to Salesforce Pardot as a JDBC data source:
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 Salesforce Pardot:
driver <- JDBC(driverClass = "cdata.jdbc.salesforcepardot.SalesforcePardotDriver", classPath = "MyInstallationDir\lib\cdata.jdbc.salesforcepardot.jar", identifier.quote = "'")
You can now use DBI functions to connect to Salesforce Pardot and execute SQL queries. Initialize the JDBC connection with the dbConnect function.
Salesforce Pardot supports connecting through API Version, Username, Password and User Key.
The User Key of the current account may be accessed by going to Settings -> My Profile, under the API User Key row.
For assistance in constructing the JDBC URL, use the connection string designer built into the Salesforce Pardot JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.salesforcepardot.jar
Fill in the connection properties and copy the connection string to the clipboard.
👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)Below is a sample dbConnect call, including a typical JDBC connection string:
conn <- dbConnect(driver,"jdbc:salesforcepardot:ApiVersion=4;User=YourUsername;Password=YourPassword;UserKey=YourUserKey;")
The driver models Salesforce Pardot APIs as relational tables, views, and stored procedures. Use the following line to retrieve the list of tables:
dbListTables(conn)
You can use the dbGetQuery function to execute any SQL query supported by the Salesforce Pardot API:
prospects <- dbGetQuery(conn,"SELECT Id, Email FROM Prospects WHERE ProspectAccountId = '703'")
You can view the results in a data viewer window with the following command:
View(prospects)
You can now analyze Salesforce Pardot 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(prospects$Email, main="Salesforce Pardot Prospects", names.arg = prospects$Id, horiz=TRUE)👁 A basic bar plot. (Salesforce is shown.)
Download a free trial of the Salesforce Pardot Driver to get started:
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