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Access Omnisend 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 Omnisend and the RJDBC package to work with remote Omnisend 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 Omnisend and visualize Omnisend 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 Omnisend 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 Omnisend:
driver <- JDBC(driverClass = "cdata.jdbc.api.APIDriver", classPath = "MyInstallationDir\lib\cdata.jdbc.api.jar", identifier.quote = "'")
You can now use DBI functions to connect to Omnisend and execute SQL queries. Initialize the JDBC connection with the dbConnect function.
Start by setting the Profile connection property to the location of the Omnisend Profile on disk (e.g. C:\profiles\Omnisend.apip). Next, set the ProfileSettings connection property to the connection string for Omnisend (see below).
Navigate to your Omnisend account integrations at https://app.omnisend.com/#/my-account/integrations/api-keys to generate an API key.
For assistance in constructing the JDBC URL, use the connection string designer built into the Omnisend JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.api.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:api:Profile=C:\profiles\Omnisend.apip;ProfileSettings='APIKey=your_api_key';")
The driver models Omnisend 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 Omnisend API:
batches <- dbGetQuery(conn,"SELECT BatchId, Method FROM Batches WHERE Status = 'completed'")
You can view the results in a data viewer window with the following command:
View(batches)
You can now analyze Omnisend 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(batches$Method, main="Omnisend Batches", names.arg = batches$BatchId, horiz=TRUE)👁 A basic bar plot. (Salesforce is shown.)
Connect to live data from Omnisend with the API Driver
Connect to Omnisend