Sample: Validate and execute a saved query
This sample shows how to use the IOrganizationService.ValidateSavedQueryRequest message to validate a FetchXML query, and then use the IOrganizationService.ExecuteByIdSavedQueryRequest message to execute the query.
How to run this sample
- Download or clone the Samples repo so that you have a local copy.
- (Optional) Edit the dataverse/App.config file to define a connection string specifying the Microsoft Dataverse instance you want to connect to.
- 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
The ValidateSavedQueryRequest
class is intended to be used in a scenario where it contains the data that is needed to validate a saved query (view).
The ExecuteByIdSavedQueryRequest
class is intended to be used in a scenario where it contains data that is needed to execute a saved query (view) that has the specified ID.
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.
- The
Account
method creates 3 account records. - The
SavedQuery
method creates a Saved query. - The
UserQuery
method creates a User query.
Demonstrate
- The
ValidateSavedQueryRequest
method creates the validate request. - The
ExecuteByIdSavedQueryRequest
method executes the saved query.
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.