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pmscorca
Post Partisan
Post Partisan

Changing the data destination in a dataflow

Hi,

in a dataflow I need to change the data destination (a warehouse) for debug purpose.

I've noticed that when I try to choice the existing data destination I need to select it again and a complete data mapping with the source columns is proposed. This behaviour is not more useful and it should be preferable to change the existing data destination with the existing data mapping and not accomplish the data mapping again.

Now, any suggests to me to solve a such issue, please?! Thanks

1 ACCEPTED SOLUTION

Hi @pmscorca 

 

Thanks for using Microsoft Fabric Community.

Apologies for the delay in response.

Thank you @frithjof_v for sharing the details,

In addition, When you change the data destination in a dataflow, Fabric does automatically suggest a mapping of columns based on the source and destination schema. This auto-mapping feature can save a lot of time and effort. In most cases, the suggested mapping is accurate, and you only need to review and adjust it as needed. You don't need to manually map every single column, which would indeed be tedious.

So, in your case, when you change the data destination for debug purposes, you can simply review the suggested column mapping and make any necessary adjustments. This should be a relatively quick and straightforward process.

 

While the automatic suggestions can save time, it's important to consider the two limitations:

Verification Needed: Even though Dataflow suggests mappings, it's crucial to review them before finalizing. The suggestions might not always be perfect, especially for complex data structures or when column names don't match exactly between source and destination.

Incomplete Mapping: Automatic suggestions might not map all columns from the source. You might need to manually map additional columns if they're relevant for your debugging purpose.

 

I hope this information helps.

 

Thank you.

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7 REPLIES 7
frithjof_v
Super User
Super User

Isn't the data mapping automatically suggesting mapping of columns? 

 

I don't think you need to map every single column manually. I think it is auto-filled suggestions.

Hi @pmscorca 

 

Thanks for using Microsoft Fabric Community.

Apologies for the delay in response.

Thank you @frithjof_v for sharing the details,

In addition, When you change the data destination in a dataflow, Fabric does automatically suggest a mapping of columns based on the source and destination schema. This auto-mapping feature can save a lot of time and effort. In most cases, the suggested mapping is accurate, and you only need to review and adjust it as needed. You don't need to manually map every single column, which would indeed be tedious.

So, in your case, when you change the data destination for debug purposes, you can simply review the suggested column mapping and make any necessary adjustments. This should be a relatively quick and straightforward process.

 

While the automatic suggestions can save time, it's important to consider the two limitations:

Verification Needed: Even though Dataflow suggests mappings, it's crucial to review them before finalizing. The suggestions might not always be perfect, especially for complex data structures or when column names don't match exactly between source and destination.

Incomplete Mapping: Automatic suggestions might not map all columns from the source. You might need to manually map additional columns if they're relevant for your debugging purpose.

 

I hope this information helps.

 

Thank you.

Hi, the real issue is that respect to the existing data destination in a data flow, previously choosed, I shouldn't select a data destination again. The data flow should maintain the existing data destination without requiring a new selection.

Thanks

We definitely welcome any new ideas to enhance our product. You can post any suggestions to the Fabric Ideas portal (link below):

https://aka.ms/FabricIdeas

 

Today, the overall data destination experience is a multi-step process that makes sure to validate everything in place before you can save any changes and make sure that your Dataflow will effectively run as expected. 

I agree.

 

Also note it's possible to create a dataflow gen2 from inside a Lakehouse,  Warehouse or KQL database which makes it the default destination:

https://learn.microsoft.com/en-us/fabric/data-factory/default-destination

Hi @pmscorca 

 

We haven’t heard from you on the last response and was just checking back to see if you have a resolution yet. In case if you have any resolution please do share that same with the community as it can be helpful to others. Otherwise, will respond back with the more details and we will try to help.

 

Thank you.

Hi @pmscorca 

 

We haven’t heard from you on the last response and was just checking back to see if you have a resolution yet. In case if you have any resolution please do share that same with the community as it can be helpful to others. If you have any question relating to the current thread, please do let us know and we will try out best to help you. In case if you have any other question on a different issue, we request you to open a new thread.

 

Thank you.

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