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Oracle Service Cloud Icon Oracle Service Cloud ODBC Driver

The Oracle Service Cloud ODBC Driver is a powerful tool that allows you to connect with live data from Oracle Service Cloud, directly from any applications that support ODBC connectivity.

Access Oracle Service Cloud data like you would a database - read, write, and update Oracle Service Cloud 0, etc. through a standard ODBC Driver interface.

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Analyze Oracle Service Cloud Data in R


Create data visualizations and use high-performance statistical functions to analyze Oracle Service Cloud data in Microsoft R Open.

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

Information for connecting to Oracle Service Cloud follows, along with different instructions for configuring a DSN in Windows and Linux environments.

Using Basic Authentication

You must set the following to authenticate to Oracle Service Cloud:

  • Url: The Url of the account to connect to.
  • User: The username of the authenticating account.
  • Password: The password of the authenticating account.

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 Oracle Service Cloud 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 OracleServiceCloud Source] Driver = CData ODBC Driver for Oracle Service Cloud Description = My Description Url = https://abc.rightnowdemo.com User = user 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 Oracle Service Cloud Data as an ODBC Data Source

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

conn <- odbcConnect("CData OracleServiceCloud Source")

Schema Discovery

The driver models Oracle Service Cloud 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 Oracle Service Cloud API.

accounts <- sqlQuery(conn, "SELECT Id, LookupName FROM Accounts WHERE DisplayOrder = 12", believeNRows=FALSE, rows_at_time=1)

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

View(accounts)

Plot Oracle Service Cloud Data

You can now analyze Oracle Service Cloud 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(accounts$LookupName, main="Oracle Service Cloud Accounts", names.arg = accounts$Id, horiz=TRUE)