Forum Discussion
Update method "allow delete" is not working in data flow
Hi AnHell ,
Thank you for the update.
Please try below structure to your data flow.
1. In Source 1, Your filtered view from Fabric warehouse returns 1 record. In Source 2, The Dataverse destination table with 10 records.
2. Exists Transformation, Configure to find records in Dataverse (Source 2) that do not exist in Source 1. This identifies records that should be deleted.
3. Alter Row Transformation, Use deleteIf(true()) for all rows coming from the Exists transformation.
4. Sink Transformation, Connect to Dataverse. Please enable Allow delete and Allow upsert. Set the Alternate Key Name to the correct primary key field.
Note: Make sure the key column is defined so ADF can match rows for deletion.
5. Run in a Pipeline, Not Just Debug Mode. Deletes won’t execute in debug mode. You must run the data flow inside a pipeline using an Execute Data Flow activity.
Please refer below links.
Sink transformation in mapping data flow - Azure Data Factory & Azure Synapse | Microsoft Learn
in dataflow the update method allow delete is not working - Microsoft Q&A
Data Flow - "Delete If" setting in Alter Row - Microsoft Q&A
I hope this information helps. Please do let us know if you have any further queries.
Regards,
Dinesh
Hello,
Ultimately, the issue was that I was not doing it correctly.
When you use a destination in the data flow and select the options to allow insert, upsert, delete, etc., you must first include an ‘alter row’ where you define the conditions that will allow each of these actions. In other words, you have to define what causes an insert, upsert, delete, etc., and then allow it in the final step. If you don't do both, it doesn't work.
Thank you all!
Hi AnHell ,
In Azure Data Factory (ADF) or Synapse Data Flows, the “Allow delete” option in the sink settings does not work on its own. It requires a corresponding “Alter Row” transformation to explicitly define which rows should be deleted.
Please try below Steps to Enable Deletes in Data Flow.
1. Add an “Alter Row” transformation before the sink.
2. In the Alter Row transformation, define the condition for deletion by using expression like below.
iif(isNull(sourceColumn), delete())
Note: By using above syntax, if a record is missing in the source, it should be deleted from the destination.
3. In the Sink settings, enable "Allow delete", Optionally Allow insert, update, upsert depending on your use case.
4. Check your sink dataset supports deletion like SQL-based sinks with primary keys.
Please refer below link.
Alter row transformation in mapping data flow - Azure Data Factory & Azure Synapse | Microsoft Learn
I hope this information helps. Please do let us know if you have any further queries.
Regards,
Dinesh
Hi AnHell ,
We haven’t heard from you on the last response and was just checking back to see if you have a resolution yet. And, if you have any further query do let us know.
Regards,
Dinesh
Hi v-dineshya ,
I'm sorry, I haven't managed to get it working yet, but the situation has changed slightly.
Here's where I stand.
I have a dataflow that reads from a view in a Fabric warehouse. The view is filtered to always return the same record, just one.
The destination is a table in Dataverse with 10 records.
The primary key field from the source is written to the primary key field in the destination.
Before the sink, I have an alter row box where the condition for both the DELETE IF and UPSERT IF statements is set to true().
In the sink's Settings tab, I have "Allow delete" and "Allow upsert" checked, and in the Alternate key name dropdown, I've selected the primary key field from the destination.
When I run this dataflow, I expected all the records in the destination to disappear, leaving only this single record, but nothing is deleted.
I'm still investigating what I'm doing wrong, but I can't find the problem.
Thanks!
Hi AnHell ,
Thank you for the update.
Please try below structure to your data flow.
1. In Source 1, Your filtered view from Fabric warehouse returns 1 record. In Source 2, The Dataverse destination table with 10 records.
2. Exists Transformation, Configure to find records in Dataverse (Source 2) that do not exist in Source 1. This identifies records that should be deleted.
3. Alter Row Transformation, Use deleteIf(true()) for all rows coming from the Exists transformation.
4. Sink Transformation, Connect to Dataverse. Please enable Allow delete and Allow upsert. Set the Alternate Key Name to the correct primary key field.
Note: Make sure the key column is defined so ADF can match rows for deletion.
5. Run in a Pipeline, Not Just Debug Mode. Deletes won’t execute in debug mode. You must run the data flow inside a pipeline using an Execute Data Flow activity.
Please refer below links.
Sink transformation in mapping data flow - Azure Data Factory & Azure Synapse | Microsoft Learn
in dataflow the update method allow delete is not working - Microsoft Q&A
Data Flow - "Delete If" setting in Alter Row - Microsoft Q&A
I hope this information helps. Please do let us know if you have any further queries.
Regards,
Dinesh