Release dtplyr 1.3.0 · tidyverse/dtplyr

Breaking changes

dplyr and tidyr verbs no longer dispatch to dtplyr translations when used
directly on data.table objects. lazy_dt() must now explicitly be called by
the user (#312).

across() output can now be used as a data frame (#341).
.by/by has been implemented for mutate(), summarise(), filter(),
and the slice() family (#399).
New translations for add_count(), pick() (#341), and unite().
min_rank(), dense_rank(), percent_rank(), & cume_dist() are now mapped
to their data.table equivalents (#396).

arrange() now utilizes setorder() when possible for improved performance
(#364).
select() now drops columns by reference when possible for improved
performance (#367).
slice() uses an intermediate variable to reduce computation time of row
selection (#377).

dtplyr no longer directly depends on ellipsis.
Chained operations properly prevent modify-by-reference (#210).
across(), if_any(), and if_all() evaluate the .cols argument
in the environment from which the function was called.
count() properly handles grouping variables (#356).
desc() now supports use of .data pronoun inside in arrange() (#346).
full_join() now produces output with correctly named columns when a
non-default value for suffix is supplied. Previously the suffix argument
was ignored (#382).
if_any() and if_all() now work without specifying the .fns argument
(@mgirlich, #325) and for a list of functions specified in the
(@mgirlich, #335).
pivot_wider()'s names_glue now works even when names_from contains
NAs (#394).
In semi_join() the y table is again coerced to a lazy table if
copy = TRUE (@mgirlich, #322).
mutate() can now use .keep.
mutate()/summarize() correctly translates anonymous functions (#362).
mutate()/transmute() now supports glue::glue() and stringr::str_glue()
without specifiying .envir.
where() now clearly errors because dtplyr doesn't support selection
by predicate (#271).