Tuesday, 6 January 2026

How to Create a Polymorphic Column in Dataverse: A Complete Guide

What is a Polymorphic Column in Dataverse?

A polymorphic column in Dataverse is a special type of column that can reference multiple tables instead of being limited to a single table. This feature is particularly useful when you need flexibility in your data model, allowing a single column to store references to different entity types without creating multiple lookup fields.

Why Use Polymorphic Columns?

Polymorphic columns provide several benefits for developers and businesses:

  • Flexibility: They allow a single column to relate to multiple tables, reducing complexity.
  • Efficiency: Simplifies data relationships and reduces the need for redundant fields.
  • Scalability: Ideal for scenarios where the related entity can vary, such as activities linked to different record types.

Steps to Create a Polymorphic Column in Dataverse

Follow these steps to create a polymorphic column in Microsoft Dataverse:

  • Step 1: Navigate to the Power Apps Maker Portal and select your environment.
  • Step 2: Open the Tables section and choose the table where you want to add the column.
  • Step 3: Click on Add Column and select Lookup as the data type.
  • Step 4: In the Related Table dropdown, choose Activity or Customer to enable polymorphic behavior. These are the two primary polymorphic relationships supported by Dataverse.
  • Step 5: Save and publish your changes to make the column available in your apps and flows.

Best Practices for Using Polymorphic Columns

To ensure optimal performance and maintainability, consider these best practices:

  • Use polymorphic columns only when necessary to avoid unnecessary complexity.
  • Document the relationships clearly for future reference.
  • Test your apps thoroughly to ensure the column behaves as expected across different scenarios.

By following these steps and best practices, you can effectively create and manage polymorphic columns in Dataverse, enhancing the flexibility and scalability of your data model.

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