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Sample: Audit user access

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This sample code shows how to audit user access.

SDK for .NET: Audit user access 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 first enables user access auditing with the logged on user's organization. Next, it creates and modifies an account table so that audit records are generated.

How this sample works

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

Setup

  1. Checks for the current version of the org.
  2. Creates a new account table and enables auditing on the new account table.

Demonstrate

  1. Gets the organization's ID from the system user record and retrieves organization record.
  2. Enables auditing on the organization, including auditing for user access.
  3. Makes an update request to the account table to be tracked by auditing.
  4. set the organization and account auditing flags back to old values and retrieve them if they were actually changed.

Clean up

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