Discover how a bimodal integration strategy can address the major data management challenges facing your organization today.
Get the Report →Query Google Analytics Data in DataGrip
Create a Data Source for Google Analytics in DataGrip and use SQL to query live Google Analytics data.
DataGrip is a database IDE that allows SQL developers to query, create, and manage databases. When paired with the CData JDBC Driver for Google Analytics, DataGrip can work with live Google Analytics data. This article shows how to establish a connection to Google Analytics data in DataGrip.
Create a New Driver Definition for Google Analytics
The steps below describe how to create a new Data Source in DataGrip for Google Analytics.
- In DataGrip, click File -> New > Project and name the project
- In the Database Explorer, click the plus icon () and select Driver.
- In the Driver tab:
- Set Name to a user-friendly name (e.g. "CData Google Analytics Driver")
- Set Driver Files to the appropriate JAR file. To add the file, click the plus (), select "Add Files," navigate to the "lib" folder in the driver's installation directory and select the JAR file (e.g. cdata.jdbc.googleanalytics.jar).
- Set Class to cdata.jdbc.googleanalytics.GoogleAnalytics.jar
Additionally, in the advanced tab you can change driver properties and some other settings like VM Options, VM environment, VM home path, DBMS, etc - For most cases, change the DBMS type to "Unknown" in Expert options to avoid native SQL Server queries (Transact-SQL), which might result in an invalid function error
- Click "Apply" then "OK" to save the Connection
Configure a Connection to Google Analytics
- Once the connection is saved, click the plus (), then "Data Source" then "CData Google Analytics Driver" to create a new Google Analytics Data Source.
- In the new window, configure the connection to Google Analytics with a JDBC URL.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Google Analytics JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.googleanalytics.jar
Fill in the connection properties and copy the connection string to the clipboard.
Google uses the OAuth authentication standard. To access Google APIs on behalf on individual users, you can use the embedded credentials or you can register your own OAuth app.
OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, you will need to register an application to obtain the OAuth JWT values.
In addition to the OAuth values, set Profile to the profile you want to connect to. This can be set to either the Id or website URL for the Profile. If not specified, the first Profile returned will be used.
- Set URL to the connection string, e.g.,
jdbc:googleanalytics:Profile=MyProfile;InitiateOAuth=GETANDREFRESH
- Click "Apply" and "OK" to save the connection string
At this point, you will see the data source in the Data Explorer.
Execute SQL Queries Against Google Analytics
To browse through the Google Analytics entities (available as tables) accessible through the JDBC Driver, expand the Data Source.
![Exploring the data (Salesforce is shown.)](../articles/jdbc-datagrip-6.png)
To execute queries, right click on any table and select "New" -> "Query Console."
![Opening a new Query Console.](../articles/jdbc-datagrip-7.png)
In the Console, write the SQL query you wish to execute. For example: SELECT Browser, Sessions FROM Traffic
![Querying with SQL (Salesforce is shown.)](../articles/jdbc-datagrip-8.png)
Download a free, 30-day trial of the CData JDBC Driver for Google Analytics and start working with your live Google Analytics data in DataGrip. Reach out to our Support Team if you have any questions.