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ebjim
Helper IV
Helper IV

Changing lakehouse table column names

While I have seen articles here and there about using notebooks to alter the name of a lakehouse table column, the new names don't sync up with the SQL endpoint. Am I correct to say that Microsoft does not officially allow for lakehouse table columns to be individually renamed?

1 ACCEPTED SOLUTION

Hi @ebjim 
Thanks for using Fabric Community.
Rename does/should work without column mapping enabled on spark. So we need to know the version of spark used and the version of delta + if column mapping was enabled on the table. You can check the column mapping details as below:

vnikhilanmsft_0-1712844940803.png

 

So if you want to rename a column today, you need to add a column.

 

vnikhilanmsft_1-1712844973215.png


But there is no way to delete it, unless they turn on column mapping or rewrite the table back.

vnikhilanmsft_2-1712845060614.png

 

vnikhilanmsft_3-1712845079643.png


With column mapping, the spark table is updated, but the SQL endpoint table is not updated.

vnikhilanmsft_4-1712845107953.png

 

vnikhilanmsft_5-1712845156607.png


Hope this helps. Please let me know if you have any further queries.

View solution in original post

3 REPLIES 3
frithjof_v
Continued Contributor
Continued Contributor

Maybe this is a solution for renaming columns, dropping columns and changing column type in Lakehouse tables:

https://community.fabric.microsoft.com/t5/General-Discussion/Dropping-and-recreating-lakehouse-table...

frithjof_v
Continued Contributor
Continued Contributor

This is my experience also

Hi @ebjim 
Thanks for using Fabric Community.
Rename does/should work without column mapping enabled on spark. So we need to know the version of spark used and the version of delta + if column mapping was enabled on the table. You can check the column mapping details as below:

vnikhilanmsft_0-1712844940803.png

 

So if you want to rename a column today, you need to add a column.

 

vnikhilanmsft_1-1712844973215.png


But there is no way to delete it, unless they turn on column mapping or rewrite the table back.

vnikhilanmsft_2-1712845060614.png

 

vnikhilanmsft_3-1712845079643.png


With column mapping, the spark table is updated, but the SQL endpoint table is not updated.

vnikhilanmsft_4-1712845107953.png

 

vnikhilanmsft_5-1712845156607.png


Hope this helps. Please let me know if you have any further queries.

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