![]() |
VOOZH | about |
This article shows how to connect to Adobe Analytics from Jaspersoft Studio as a standard JDBC data source with the CData JDBC Driver for Adobe Analytics. You will use the standard Jaspersoft wizards to build SQL queries to Adobe Analytics. The queries are executed directly to the Adobe Analytics APIs, enabling real-time connectivity to Adobe Analytics data.
To create a JDBC data source in Jaspersoft Studio, create a data adapter:
Adobe Analytics uses the OAuth authentication standard. To authenticate using OAuth, create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties. See the "Getting Started" section of the help documentation for a guide.
GlobalCompanyId is a required connection property. If you do not know your Global Company ID, you can find it in the request URL for the users/me endpoint on the Swagger UI. After logging into the Swagger UI Url, expand the users endpoint and then click the GET users/me button. Click the Try it out and Execute buttons. Note your Global Company ID shown in the Request URL immediately preceding the users/me endpoint.
Report Suite ID (RSID) is also a required connection property. In the Adobe Analytics UI, navigate to Admin -> Report Suites and you will get a list of your report suites along with their identifiers next to the name.
After setting the GlobalCompanyId, RSID and OAuth connection properties, you are ready to connect to Adobe Analytics.
For assistance in constructing the JDBC URL, use the connection string designer built into the Adobe Analytics JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.adobeanalytics.jar
Fill in the connection properties and copy the connection string to the clipboard.
π Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)When you configure the JDBC URL, 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.
Below is a typical JDBC URL for Adobe Analytics:
jdbc:adobeanalytics:GlobalCompanyId=myGlobalCompanyId; RSID=myRSID; OAuthClientId=myOauthClientId; OauthClientSecret=myOAuthClientSecret; CallbackURL=myCallbackURL;π A data adapter configured to use the JDBC Driver. (Salesforce is shown.)
Follow the steps below to build an SQL query to Adobe Analytics, the basis of a simple report:
SELECT Page, PageViews FROM AdsReport WHERE City = 'Chapel Hill'π The SQL query to be used to pull data into the report. (Salesforce is shown.)
In the Preview tab, you can see the report as it would look with the current Adobe Analytics data.
π A JasperReport template populated with live data. (Salesforce is shown.)The following sections show how to create a chart tied to its own SQL query. When retrieving the data from the remote data source, more restrictive queries, written for specific report objects, can result in faster performance.
Follow the steps below to create a new dataset to populate the chart:
SELECT Page, PageViews FROM AdsReport WHERE City = 'Chapel Hill'π The SQL query to be used to fill the chart. (Salesforce is shown.)
After adding the dataset, follow the steps below to map column values to the chart axes in the chart wizard:
Specify the y-axis values: In the chart wizard, click the button next to the Value box. In the Expression Editor, double-click PageViews to set the expression to $F{PageViews}.
$F{Page}.toString()
π Columns selected for the axes of the chart.You can now generate reports on Adobe Analytics data just as you would any other JDBC data source. Jaspersoft Studio periodically refreshes the data across report runs.
π The finished report's last page, displaying the chart. (Salesforce is shown.)Download a free trial of the Adobe Analytics Driver to get started:
Download NowLearn more:
π Adobe Analytics IconRapidly create and deploy powerful Java applications that integrate with Adobe Analytics data including Metrics, Users, Reports, Segments, and more!