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Sample: Create, retrieve, update, and delete a dashboard

This sample shows how to create, retrieve, update, and delete an user-owned dashboard using the following methods:

You can download the sample from here.

Märkus

This sample applies to both Dynamics 365 Customer Engagement (on-premises) and Dataverse.

How to run this sample

To obtain a local copy of all samples and build them, follow these steps:

  1. Download or clone the Samples repo so that you have a local copy.
  2. (Optional) Edit the dataverse/App.config file to define a connection string specifying the instance/organization you want to connect to.
  3. Open the sample solution in Visual Studio and press F5 to run the sample. After you specify a connection string in dataverse/App.config, any sample you run will use that connection information.

If you don't specify a connection string in dataverse/App.config file, a dialog opens each time you run the sample, and you'll need to enter information about which instance or org you want to connect to and which credentials you want to use. This dialog caches previous connections so that you can choose a previously used connection.

What this sample does

The IOrganizationService message is intended to be used in a scenario where it contains data that provides programmatic access to the metadata and data for an organization.

How this sample works

In order to simulate the scenario described in What this sample does, the sample will do the following:

Setup

Checks for the current version of the org.

Demonstrate

  1. The mySavedQuery method grabs the default public view for opportunities.
  2. The visualizationQuery method retrieves the visualizations out of the system. This sample assumes that you have the Top opportunities.
  3. The dashboard method sets the dashboard and specifies the FormXml.
  4. The chartPicker method enables the chart picker on the chart.

Clean up

Display an option to delete the records created in the Setup. The deletion is optional in case you want to examine the entities and data created by the sample. You can manually delete the records to achieve the same result.