Javier Orraca-Deatcu

Same problem (warnings below). Reverting to `dbplyr 2.1.1` did the trick. Hoping for a fix soon and thanks for all the work on these amazing packages 🖖 _**Warnings:**_ ``` #>...

Seconding this feature request! Stacks is beautifully fast but I'd love a native way to build a stacked ensemble from a workflowsets trained object that uses `finetune::tune_race_anova` and `finetune::control_race`. 🙏

@krlmlr This was definitely the fix and you can see below the significantly improved performance with duckplyr, thank you! 🚀 Below is the revised `bench::mark()` code including updated benchmark plots...

And a quick follow-up... Typically you wouldn't care about NAs if you're `summarise()`-ing, however, I often find myself piping grouped data into a calc like `summarise(count_na = sum(is.na(x))` that also...

Thanks!

Ah, thank you!

Following up here: A teammate shared this [adbi package](https://adbi.r-dbi.org/) with me (an Arrow-compliand DBI). Looks very neat, but my understanding is that it does not yet support the Arrow Snowflake...

@edgararuiz - I think this was caused by me / Spark user error. It was failing when I attempted to include multiple conditions in `where()` statement in the same call...

@mattwarkentin I'm interested in the same kind of ordinal engines as you described and a tidymodels-friendly method would be awesome as an extension package. I'll keep an eye out and...

This is an ongoing issue for me as well that my company has multiple Databricks hosts requiring management of multiple tokens. A `token` argument in `board_databricks()` would be much appreciated....