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Work with columns definitions

  • Άρθρο

This sample shows how to perform various actions on columns.

SDK for .NET: Work with columns definitions sample code

How to run this sample

  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 Microsoft Dataverse instance 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 do not specify a connection string in dataverse/App.config file, a dialog will open each time you run the sample and you will need to enter information about which Dataverse instance you want to connect to and which credentials you want to use. This dialog will cache previous connections so that you can choose a previously used connection.

Those samples in this repo that require a connection to a Dataverse instance to run will include a linked reference to the dataverse/App.config file.

What this sample does

This sample shows how to create different types of columns in Microsoft Dataverse.

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 BooleanAttributeMetadata method creates a column of type boolean.
  2. The DateTimeAttributeMetadata message creates a column of type date time.
  3. The DecimalAttributeMetadata message creates a column of type decimal.
  4. The IntegerAttributeMetadata message creates a column of type integer.
  5. The MemoAttributeMetadata message creates a column of type memo.
  6. The MoneyAttributeMetadata message creates a column of type money.
  7. The PicklistAttributeMetadata message creates a column of type choices.

Clean up

Displays an option to delete all the data created in the sample. The deletion is optional in case you want to examine the data created by the sample. You can manually delete the data to achieve same results.