Improved SQL Experience
It would be really nice if the SQL experience felt more like it was a natural part of the workflow.
Right now when you start a blank project, the flow experiences pushes you to first add a dataset. If that dataset is in a databases, you are asked to select your table to create your dataset. If you select writing with a custom SQL query, you are given a pretty distinct warning not to use this and a small box to enter some sql into. This most likely means you aren't starting here with SQL.
Another alternative for this is to just select a random table as the dataset so that you can then add a SQL recipe to your flow and work from there.
If you go to the notebook and start with a SQL notebook, you get a pretty nice SQL editor, with features like explain plans etc.
These experiences feel super disjointed and very confusing.
What would be nice is if these these experience were combined and we were able to start with the SQL notebook, write the SQL and then move from that view to back to the flow or into a Python/ R notebook.
It would also be great if we could take the SQL query, version control that into Github as a saved query for others to use.
Comments
-
@CoreyS
I think they are similar yeah, but not the same.
@Marlan
talks about doing jinja tempting and changing how the code is written.I think my suggestion is more around how the various SQL options fit into the overall worksteam of Dataiku. Basically shifting things around more and making the way the options are presented to the user more seamless.
I think combining them would be something that could be done if you want to completely redefine the SQL experience, otherwise they are could probably be tackled as separate requests.
-
Marlan Neuron 2020, Neuron, Registered, Dataiku Frontrunner Awards 2021 Finalist, Neuron 2021, Neuron 2022, Dataiku Frontrunner Awards 2021 Participant, Neuron 2023 Posts: 320 Neuron
Hi @CoreyS
, to weigh in here too... I agree with @M1-Nick
that the ideas are different and should remain separate.That said, I like these ideas. My typical flow in a new project is to start with a code recipe (SQL Script) and yes it would be great to be able to work between SQL recipes (probably most easily SQL Script recipes) and SQL Notebooks just like we can with Python recipes.
Marlan
-
Hey @M1-Nick
! Fancy meeting you hereThanks for the feedback, we've logged it internally and will let you know if we have updates on any of these topics.
-
@ktgross15
- sounds good! You know where to find me if you have questions! -
Ashley Dataiker, Alpha Tester, Dataiku DSS Core Designer, Registered, Product Ideas Manager Posts: 162 Dataiker
Hi,
Updating this thread to let you know that with the release of 12.5 we have a more fluid SQL recipe <--> Notebook experience: SQL recipes can now be edited in Notebooks, just like Python recipes can!
When you open a SQL recipe, you'll see a button, 'Edit in Notebook', that lets you do just that.
Cheers,
Ashley