Tag: Microsoft Dynamics 365

How We Successfully Removed the Resco Woodford Managed Solution from Dynamics 365 Field Service


Recently, we needed to remove the legacy Resco MobileCRM (Woodford) managed solution from a Dynamics 365 Field Service environment.

Although the uninstall initially appeared straightforward, when we attempted to uninstall the Woodford solution, Dynamics 365 displayed a list of dependencies that needed to be addressed before.

The dependencies included references from model-driven apps, site maps, security roles, workflows, plug-in steps and managed solutions.

One of the first dependencies we identified was a set of Resco tables that were still included in a model-driven application. These included Mobile Project, Mobile Audit, Questionnaire, and Mobile Report. Removing these tables from the application eliminated the app-related dependencies.

The next set of dependencies came from site maps. The Mobile CRM navigation area was still present in multiple site maps and needed to be removed. Once the references were removed and the changes published, the related site map dependencies disappeared.

The dependency report also showed a dependency on the Resco MobileCRM Administrator security role. The role was being referenced from a form, and removing that reference resolved the dependency.

Another dependency involved the following plug-in step:

MobileCrm.Server.Plugins.Tracking.DisassociateTracking

Deleting the plug-in step removed the dependency.

We also found a legacy workflow named:

Push Notification - Schedule Change

After stopping and deleting the workflow, the dependency was removed.

At this point, most of the dependencies had been addressed, but the uninstall was still blocked by process and flow dependencies associated with Resco entities.

After further investigation, we found that these dependencies were originating from legacy geofencing functionality. Uninstalling the Geofence Alerts managed solution removed the remaining process and flow dependencies.

At this point, the dependency report showed no remaining blockers.

Despite the dependency report being clean, the uninstall continued to fail with the following error:

The uninstall operation will delete the base layer for the component ‘SdkMessageProcessingStep’. The operation cannot continue because there are other managed layers over the base layer.

The error referenced a plug-in step associated with a Resco entity. Since the dependency report was now clean, we investigated the component using the Solution Layers feature.

The layer information showed that Woodford was providing the base layer, while another managed solution named msdyn_FSMNotifications had installed a managed layer on top of that component.

This explained why Dataverse would not allow the Woodford base layer to be removed.

After uninstalling the dependent managed solution, the layer dependency was removed.

We then re-tried the Woodford uninstall, and this time it completed successfully.

One interesting observation was that the uninstall itself took approximately two hours to complete after it was started.

The key takeaway from this exercise is that a clean dependency report does not always mean a managed solution can be removed. If the uninstall fails with a managed layer error, reviewing the Solution Layers for the component referenced in the error message can quickly identify the actual blocking solution.

Hope it helps..

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Unable to Delete Work Order Due to “The Time To Promised Must Be Later Than The Time From Promised” exception – Dynamics 365 Field Service


While attempting to delete a historical Dynamics 365 Field Service Work Order, we encountered the following error:

Exception Message: The time to promised must be later than the time from promised.

ErrorCode: -2147220891

HexErrorCode: 0x80040265

Error Details: {“errorCode”:2147746405,”message”:”The time to promised must be later than the time from promised.”,”code”:2147746405,”raw”:”{\”_errorCode\”:2147746405,\”_errorFault\”:{\”_responseXml\”:null,\”_errorCode\”:2147746405,\”_innerFault\”:{\”_responseXml\”:null,\”_errorCode\”:0,\”_innerFault\”:null,\”_callStack\”:null,\”_responseText\”:null,\”_annotations\”:null,\”_hasCustomerInfo\”:false,\”_messages\”:[\”The time to promised must be later than the time from promised.\”]},\”_callStack\”:null,\”_responseText\”:\”{\\\”error\\\”:{\\\”code\\\”:\\\”0x80040265\\\”,\\\”message\\\”:\\\”The time to promised must be later than the time from promised.\\\”,\\\”@Microsoft.PowerApps.CDS.ErrorDetails.ApiExceptionSourceKey\\\”:\\\”Plugin/Microsoft.Dynamics.FieldService.FieldServicePlugin\\\”,\\\”@Microsoft.PowerApps.CDS.ErrorDetails.ApiStepKey\\\”:\\\”919f17c2-2931-4b27-b6b2-daaf91aaaaf8\\\”,\\\”@Microsoft.PowerApps.CDS.ErrorDetails.ApiDepthKey\\\”:\\\”1\\\”,\\\”@Microsoft.PowerApps.CDS.ErrorDetails.ApiActivityIdKey\\\”:\\\”1642f2af-356e-45c3-b971-42b11e9e91d9\\\”,\\\”@Microsoft.PowerApps.CDS.ErrorDetails.ApiPluginSolutionNameKey\\\”:\\\”

At first, the error suggested that the Work Order contained invalid promise dates. We reviewed the values stored on the record and found that Time To Promised was already later than Time From Promised.

Since the values appeared valid, we attempted to clear both fields using SQL 4 CDS:

The update completed successfully and both fields were set to NULL.

However, deleting the Work Order still resulted in the same error.

Changing the Work Order Status to Cancelled also didn’t help.

After further testing, we changed the Record Status from Active to Inactive. Once the record was inactive, the Work Order could be deleted successfully.

Based on the plugin trace, deleting the Work Order triggered an internal update before the delete operation was executed. It appears that when the Work Order was Active, additional Field Service validations were performed, resulting in the promised date error even after the fields were cleared.

After changing the record to Inactive, the delete operation likely followed a different validation path, allowing the Work Order to be deleted successfully.

Hope it helps..

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Testing the New RunJobForSandbox Option in Bulk Delete Jobs (Preview) – Dataverse / Dynamics 365


Microsoft recently introduced a preview feature for Dataverse Bulk Delete Jobs that provides additional control over bulk delete processing. One of the new options available when creating a bulk delete job through the API is RunJobForSandbox.

According to the documentation, this option is intended to control sandbox processing during bulk delete operations, which could be particularly useful in environments where delete plugins or custom workflows impact large-scale data cleanup activities.

For our testing, we created a Bulk Delete Job using Postman and included the following option in the request payload:

{
  "QuerySet": [
    {
      "EntityName": "contact",
      "Criteria": {
        "FilterOperator": "And",
        "Conditions": [
                   {
            "AttributeName": "createdon",
            "Operator": "OnOrBefore",
            "Values": [
              {
                "Value": "2026-09-07T23:59:59Z",
                "Type": "System.DateTime"
              }              
            ]
          }
        ]
      }
    }
  ],
  "JobName": "Sample Bulk Delete Job with Run Job For Sandbox True",
  "SendEmailNotification": false,
  "RecurrencePattern": "",
  "StartDateTime": "2026-05-18T00:00:00Z",
  "ToRecipients": [],
  "CCRecipients": [],
  "Options": {
    "CanRecoverDeletedRecords": false,
    "RunJobForSandbox": true
  }
}

The complete job targeted Contact records based on their Created On date and was created successfully.

To understand how this option behaves, we registered a simple plugin on the Delete message of the Contact table. The plugin was intentionally designed to throw an InvalidPluginExecutionException whenever a record deletion was attempted.

Our expectation was that enabling RunJobForSandbox would prevent the sandbox plugin from executing during the bulk delete process, allowing the records to be deleted successfully.

However, the results were different from what we anticipated.

When the bulk delete job was executed, the delete plugin was still triggered. Because the plugin threw an exception, all targeted records failed to delete. The Bulk Delete Job completed with failures and reported errors indicating that the deletion operation had been aborted by a plugin or custom workflow.

Since this capability is currently in Preview, it is possible that the feature is still evolving, has limitations that are not yet documented, or requires additional configuration. To better understand the observed behavior, we have raised a Microsoft Support ticket and are awaiting clarification from the team.

Even though our initial test did not produce the expected result, this is still a very promising feature. Once fully implemented and generally available, the ability to control sandbox processing during bulk delete operations could make large-scale data cleanup significantly easier, especially in environments where plugins and custom workflows frequently interfere with bulk deletion activities.

We’d update this post once we receive additional information from Microsoft regarding the current behavior and intended functionality of RunJobForSandbox.

The feature is documented here:

Control Bulk Delete Processing (Preview)

Hope it helps..

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Using RetrieveDependenciesForDeleteRequest to find and delete hidden dependencies (Dataverse/ Dynamics 365)


Please refer to the post below, which provides a clear explanation of how RetrieveDependenciesForDeleteRequest works and how it can be used to identify dependencies.

D365: Unable to delete entity having hidden dependency(with Canvas App)

Troubleshooting Hidden Dependency Errors in Dynamics 365 and Dataverse


Recently, while cleaning up some old customizations in Dynamics 365, we came across an interesting dependency issue that was not immediately obvious from the user interface. What initially looked like a simple Business Process Flow deletion turned into a deeper investigation into how Dataverse manages published dependencies internally.

While trying to delete a BPF, Dataverse returned the following error: – Failed to delete (). Object dependencies exist, please review before deleting.

Normally, the first step in this situation is to use the built-in dependency viewer. However, in this case, the dependency screen itself was not particularly helpful. Even though the platform clearly stated that dependencies existed, the dependency dialog was not showing any actual records / components blocking the deletion.

To investigate further, we opened the browser developer tools and inspected the network response generated during the delete operation. The response payload contained much more detail than what was shown in the UI, including the GUID of the component and information indicating that dependencies still existed behind the scenes.

The Entity(99980477-1249-447b-8514-6d11fe6f1b1e) component cannot be deleted because it is referenced by 7 other components.

{“error”:{“code”:”0x8004f01f”,”message”:”The Entity(99980477-1249-447b-8514-6d11fe6f1b1e) component cannot be deleted because it is referenced by 7 other components. For a list of referenced components, use the RetrieveDependenciesForDeleteRequest.”}}

–changesetresponse_aa58f311-830f-4c7f-af82-f21732502a1e–

–batchresponse_26fe11bd-bb7c-4cef-ad4b-91121ac828cf—

With the component GUID available, we switched to SQL 4 CDS to query the dependency table directly. The following query was used:

SELECT *

FROM dependency

WHERE requiredcomponentobjectid = ‘99980477-1249-447b-8514-6d11fe6f1b1e’

The results immediately started revealing useful information. One of the most important columns in the results was:

dependencytype = 2, dependencytypename = Published

This turned out to be the key detail. A dependency type of Published means the reference is actively present in the environment and is currently preventing deletion of the component.

The dependency records also showed the following values:

dependentcomponenttype = 29, dependentcomponenttypename = Workflow

That told us the blocking component was actually a workflow. To identify the workflow names, we queried the workflow table directly using the workflow IDs returned by the dependency query, which took us to the below Workflow. When we opened this workflow, we found that it still contained a step creating or referencing the process we were attempting to remove.

We removed the workflow referencing the process, published the changes, and then retried the deletion. Once the workflow dependency was removed, the process was deleted successfully without any further errors.

This was a useful reminder that the dependency viewer in Dynamics 365 and Dataverse does not always surface every dependency clearly, especially with older workflows and process-related customizations. In these situations, SQL 4 CDS and direct dependency table queries can be extremely valuable for identifying hidden references.

Hope this helps..

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Capture UTM Parameters in Dynamics 365 Marketing Forms Using JavaScript (Dynamics 365 Customer Insights)


When running marketing campaigns, UTM parameters help us understand where our leads are coming from. They help us track whether a lead came from Google Ads, Facebook campaigns, email campaigns, or some other source.

Recently while working with a Dynamics 365 Marketing form, we used a small JavaScript snippet to automatically capture UTM parameters from the URL and store them directly into marketing form fields.

 <script>
document.addEventListener("d365mkt-afterformload", function () {
    const params = new URLSearchParams(window.location.search);
      const mappings = [
        { param: "utm_source", name: "custom_utm_source" },
        { param: "utm_medium", name: "custom_utm_medium" },
        { param: "utm_campaign", name: "custom_utm_campaign" },
        { param: "utm_term", name: "custom_utm_term" },
        { param: "utm_content", name: "custom_utm_content" },
        { param: "gclid", name: "custom_gclid" },
        { param: "gclsrc", name: "custom_gclsrc" },
        { param: "fbclid", name: "custom_fbclid" }
    ];
    mappings.forEach(function (m) {
        const field = document.querySelector(`[name="${m.name}"]`);
        const value = params.get(m.param);

        if (field && value) {
            field.value = value;        
        }
    });
});
</script>

Suppose the marketing form URL is opened like this:

https://contoso.com/form?utm_source=google&utm_medium=cpc

In the example below, the values from the URL are automatically populated into the form fields.

The script first waits for the Dynamics 365 Marketing form to fully load using the d365mkt-afterformload event. This is important because the fields may not yet exist when the page initially loads.

After that, the script reads the query string from the URL using URLSearchParams. So if the URL contains values like utm_source=google or utm_medium=cpc, those values become available to the script.

The mappings array is used to map URL parameters to marketing form fields. For example, utm_source maps to custom_utm_source and utm_medium maps to custom_utm_medium.

The script then loops through each mapping, finds the matching field inside the marketing form, and sets the value automatically.

Using this approach helps us capture campaign attribution data directly inside Dataverse during form submission

References –

https://paulinekolde.info/javascript-library-for-real-time-marketing-form-in-customer-insights

Extend Customer Insights – Journeys marketing forms using code

Hope it helps..

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