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Use SparkSQL without Default Lakehouse

Make it possible to write SparkSQL without having a Default Lakehouse.

 

With 3- or 4- part naming, i.e.

[workspace].[lakehouse].[schema].[table] 

 

there should be no need to attach a Lakehouse in order to use SparkSQL.

 

Needing to attach a Lakehouse is annoying and adds extra complexity.

Status: New
Comments
raym85
Regular Visitor
Oh nice! this is a good one! Agreed it can be a pain, especially when merging from feature branch to main. Seems to work well with deployment pipelines though.
BHouston1
New Member
Not a bad idea on the 4-part naming, but I could see an issue if a workspace is renamed and this breaks notebooks. I think that shortcuts are designed to solve for this, but then unfortunately you would need a default lakehouse before you can use them...