Connect to Microsoft Dataverse Data in Jaspersoft Studio



Execute SQL to remote Microsoft Dataverse data in Jaspersoft Studio.

This article shows how to connect to Microsoft Dataverse from Jaspersoft Studio as a standard JDBC data source with the CData JDBC Driver for Microsoft Dataverse. You will use the standard Jaspersoft wizards to build SQL queries to Microsoft Dataverse. The queries are executed directly to the Microsoft Dataverse APIs, enabling real-time connectivity to Microsoft Dataverse data.

About Microsoft Dataverse Data Integration

CData provides the easiest way to access and integrate live data from Microsoft Dataverse (formerly the Common Data Service). Customers use CData connectivity to:

  • Access both Dataverse Entities and Dataverse system tables to work with exactly the data they need.
  • Authenticate securely with Microsoft Dataverse in a variety of ways, including Azure Active Directory, Azure Managed Service Identity credentials, and Azure Service Principal using either a client secret or a certificate.
  • Use SQL stored procedures to manage Microsoft Dataverse entities - listing, creating, and removing associations between entities.

CData customers use our Dataverse connectivity solutions for a variety of reasons, whether they're looking to replicate their data into a data warehouse (alongside other data sources)or analyze live Dataverse data from their preferred data tools inside the Microsoft ecosystem (Power BI, Excel, etc.) or with external tools (Tableau, Looker, etc.).


Getting Started


Connect to Microsoft Dataverse Data as a JDBC Data Source

To create a JDBC data source in Jaspersoft Studio, create a data adapter:

  1. In the Repository Explorer view, right-click the Data Adapters node and click Create Data Adapter.
  2. Select Database JDBC Connection.
  3. Enter a user-friendly name for the driver.
  4. On the Driver Classpath tab, click Add. In the resulting dialog, navigate to the lib subfolder of the installation directory. Select the driver JAR.
  5. On the Database Location tab, enter the class name of the JDBC driver: cdata.jdbc.cds.CDSDriver.
  6. Enter the JDBC URL.

    You can connect without setting any connection properties for your user credentials. Below are the minimum connection properties required to connect.

    • InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to avoid repeating the OAuth exchange and manually setting the OAuthAccessToken.
    • OrganizationUrl: Set this to the organization URL you are connecting to, such as https://myorganization.crm.dynamics.com.
    • Tenant (optional): Set this if you wish to authenticate to a different tenant than your default. This is required to work with an organization not on your default Tenant.

    When you connect the Common Data Service OAuth endpoint opens in your default browser. Log in and grant permissions. The OAuth process completes automatically.

    Built-in Connection String Designer

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

    java -jar cdata.jdbc.cds.jar

    Fill in the connection properties and copy the connection string to the clipboard.

    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 Microsoft Dataverse:

    jdbc:cds:OrganizationUrl=https://myaccount.crm.dynamics.com/InitiateOAuth=GETANDREFRESH

Create Reports with Microsoft Dataverse Data

Follow the steps below to build an SQL query to Microsoft Dataverse, the basis of a simple report:

  1. Click File -> New Jasper Report. Select a template, select the parent project, and specify the report file.
  2. In the Data Adapter menu, select the data adapter you created in the previous section.
  3. In the Diagram tab, drag tables into the box and click the columns you want. Or, enter a custom query on the Texts tab. For example: SELECT AccountId, Name FROM Accounts WHERE Name = 'MyAccount'
  4. Select the fields you want to include in the dataset. This example uses all fields.
  5. Skip the Group By step and finish the wizard.

In the Preview tab, you can see the report as it would look with the current Microsoft Dataverse data.

Create a Chart

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.

Create a DataSet

Follow the steps below to create a new dataset to populate the chart:

  1. In the report editing area, click the Design tab.
  2. In the Outline view, right-click the root node for the report and click Create Dataset.
  3. Enter a name for the dataset and click the option to create a new dataset from a connection or data source.
  4. In the Data Adapter menu, select the data adapter you created in the first section.
  5. Enter a query such as the following:

    SELECT AccountId, Name FROM Accounts WHERE Name = 'MyAccount'
  6. Select the fields you want in the dataset. This example uses AccountId and Name.
  7. Skip the step to group by fields and finish the wizard.

Configure the Chart

After adding the dataset, follow the steps below to map column values to the chart axes in the chart wizard:

  1. Click the Summary node in the Outline view. In the Properties view, set the height to 400 pixels. The summary band is printed at the end of the report.
  2. Drag a chart from the Palette onto the summary. The chart wizard is displayed.
  3. Select the chart type. This example uses a bar chart.
  4. In the Dataset menu, select the dataset you created for the chart.
  5. In the Dataset tab, select the option to use the same JDBC connection used to fill the master report.
  6. Specify the chart's series: Click the button next to the Series menu and click Add. In the Expression Editor that is displayed, double-click the AccountId column to set the expression to $F{AccountId}.
  7. Specify the y-axis values: In the chart wizard, click the button next to the Value box. In the Expression Editor, double-click Name to set the expression to $F{Name}.

  8. Specify the labels for the series elements: In the chart wizard, click the button next to the Label box. In the Expression Editor, double-click the AccountId column to set the expression to $F{AccountId}. If needed, convert the column type to string, as in the following expression: $F{AccountId}.toString()
  9. Expand the chart to fill the summary section: right-click the chart and click Size to Container -> Fit Both.

Running the Report

You can now generate reports on Microsoft Dataverse data just as you would any other JDBC data source. Jaspersoft Studio periodically refreshes the data across report runs.

Ready to get started?

Download a free trial of the Microsoft Dataverse Driver to get started:

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