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Access Salesforce 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 and the RJDBC package to work with remote Salesforce 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 and visualize Salesforce data by calling standard R functions.
Accessing and integrating live data from Salesforce has never been easier with CData. Customers rely on CData connectivity to:
Users frequently integrate Salesforce data with:
For more information on how CData solutions work with Salesforce, check out our Salesforce integration page.
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 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:
driver <- JDBC(driverClass = "cdata.jdbc.salesforce.SalesforceDriver", classPath = "MyInstallationDir\lib\cdata.jdbc.salesforce.jar", identifier.quote = "'")
You can now use DBI functions to connect to Salesforce and execute SQL queries. Initialize the JDBC connection with the dbConnect function.
There are several authentication methods available for connecting to Salesforce: OAuth, Login (or basic), and SSO. The Login method requires you to have the username, password, and security token of the user.
The default authentication mechanism (and the one preferred by Salesforce) is OAuth. To use OAuth with CData's embedded OAuth application, leave the connection properties blank. If you have configured your own custom OAuth application with Salesforce (see the Help documentation for more information), set OAuthClientId, OAuthClientSecret, and CallbackURL to the properties for you application. Set InitiateOAuth to the desired OAuth flow ("GETANDREFRESH" will have the connector manage the entire OAuth flow).
If you do not wish do not wish to use OAuth authentication, you can use Login (or basic) authentication. Set AuthScheme to Basic, and set the User, Password, and SecurityToken properties. You can configure your security token in Salesforce.
SSO (single sign-on) can be used by setting the SSOProperties, SSOLoginUrl, and SSOExchangeURL connection properties, which allow you to authenticate to an identity provider. See the "Getting Started" chapter in the Help documentation for more information.
If your Salesforce org has MFA enforcement enabled, set MFACode to the time-based one-time passcode (TOTP) generated by your authenticator app (such as Salesforce Authenticator or Google Authenticator). MFACode applies to both OAuth and Login authentication flows.
For assistance in constructing the JDBC URL, use the connection string designer built into the Salesforce JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.salesforce.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:salesforce:InitiateOAuth=GETANDREFRESH;MFACode=YourMFACode")
The driver models Salesforce 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 API:
account <- dbGetQuery(conn,"SELECT Contact.Name, SUM(Account.AnnualRevenue) FROM Contact, Account GROUP BY Contact.Name")
You can view the results in a data viewer window with the following command:
View(account)
You can now analyze Salesforce 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(account$AnnualRevenue, main="Salesforce Account", names.arg = account$Industry, horiz=TRUE)👁 A basic bar plot. (Salesforce is shown.)
Download a free trial of the Salesforce Driver to get started:
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