Hadley Wickham

Thanks! I did a couple more docs tweaks because I realised that this is the perfect place to use inline R code.

Also need to remove `sql()` and `ident()` (#4434), and `src_dbi()` and friends (#4431) And from #4542 * Deprecate `src_postgres()`, `src_mysql()`, and `src_sqlite()`. The database dependencies will need to stay in...

For dplyr 1.0.0 I will: * Deprecate `src_postgres()`, `src_mysql()`, and `src_sqlite()`. The database dependencies will need to stay in suggests until these functions can be made defunct, which is probably...

Now have a new plan for this where the generics no longer need to move; but we will need to eventually deprecate and then remove the database generics here. See...

Need to break this up into smaller issues — I need to analyse this carefully but after #6367, I think all that needs to be done is to deprecate then...

Also need to rename all db files consistently: ```R # compat-db.R -> ? # compute-collect.r -> db-compute-complete.R # copy-to.r -> db-copy-to.R # dbplyr.r -> db-generics.R # deprec-dbi -> ? #...

I think we'll need to do a bit of both — as of readr 2.0.0, `read_csv()` etc now use 1000 rows spread throughout the dataset, rather than just the first...

Is there some simple way to do this? Because if it's easy `count()` should also take responsibility for `group_by()`, as in #6182.

Hmmm, adding `dplyr_local_error_call()` at the obvious place in `count.data.frame()` doesn't work, and `add_computed_columns()` already has what looks like an existing attempt to solve this problem, so I think probably someone...

I don't remember; but if the docs say annotations don't affect the scale limits, then we need to stick with that. My vague recollection is that this makes it possible...