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The CData JDBC driver for Everhour data enables access to live data from dashboards and reports. This article shows how to connect to Everhour data as a JDBC data source and publish reports based on Everhour data in Pentaho.
Create a new data source with the driver by clicking Data -> Add Data Source -> Advanced -> JDBC (Custom) and then creating a new Everhour connection. In the resulting dialog, configure the connection properties as shown below.
Custom Connection URL property: Enter the JDBC URL. This starts with jdbc:api: and is followed by a semicolon-separated list of connection properties.
Start by setting the Profile connection property to the location of the Everhour Profile on disk (e.g. C:\profiles\Everhour.apip). Next, set the ProfileSettings connection property to the connection string for Everhour (see below).
Obtain your API Key from your Everhour profile page (scroll to the bottom of the page).
For assistance in constructing the JDBC URL, use the connection string designer built into the Everhour 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.)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:
jdbc:api:Profile=C:\profiles\Everhour.apip;ProfileSettings='APIKey=your_api_token';
You are now ready to create a report with Everhour data.
Add the Everhour source to your report: Click Data -> Add Data Source -> JDBC and select the data source.
Configure the query. This article uses the one below:
SELECT Id, ProjectId FROM Assignments WHERE Type = 'assignment'👁 The query to retrieve data, specified in the JDBC data source configuration wizard. (Salesforce is shown.)
Connect to live data from Everhour with the API Driver
Connect to Everhour