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DoubleClick Campaign Manager Icon DoubleClick JDBC Driver

An easy-to-use database-like interface for Java based applications and reporting tools access to live DoubleClick Campaign Manager data (Ads, Accounts, Creatives, Orders, and more).

Analyze Google Campaign Manager Data in R

Use standard R functions and the development environment of your choice to analyze Google Campaign Manager data with the CData JDBC Driver for Google Campaign Manager.

Access Google Campaign Manager 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 Google Campaign Manager and the RJDBC package to work with remote Google Campaign Manager 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 Google Campaign Manager and visualize Google Campaign Manager 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:


Connect to Google Campaign Manager as a JDBC Data Source

You will need the following information to connect to Google Campaign Manager as a JDBC data source:

  • Driver Class: Set this to cdata.jdbc.googlecm.GoogleCMDriver
  • 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 Google Campaign Manager:

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

You can now use DBI functions to connect to Google Campaign Manager and execute SQL queries. Initialize the JDBC connection with the dbConnect function.

Google Campaign Manager uses the OAuth authentication standard. The data provider facilitates OAuth in various ways as described below. The following OAuth flow requires the authenticating user to interact with DoubleClick Campaign Manager, using the browser. You can also use a service account to authenticate.

For authentication guides, see the Getting Started section of the data provider help documentation.

Built-in Connection String Designer

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

java -jar cdata.jdbc.googlecm.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:googlecm:UserProfileID=MyUserProfileID;InitiateOAuth=GETANDREFRESH")

Schema Discovery

The driver models Google Campaign Manager APIs as relational tables, views, and stored procedures. Use the following line to retrieve the list of tables:


Execute SQL Queries

You can use the dbGetQuery function to execute any SQL query supported by the Google Campaign Manager API:

campaignperformance <- dbGetQuery(conn,"SELECT Clicks, Device FROM CampaignPerformance")

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


Plot Google Campaign Manager Data

You can now analyze Google Campaign Manager 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(campaignperformance$Device, main="Google Campaign Manager CampaignPerformance", names.arg = campaignperformance$Clicks, horiz=TRUE)