diff --git a/r/R/arrow-package.R b/r/R/arrow-package.R index f6977e626276b..7087a40c4903a 100644 --- a/r/R/arrow-package.R +++ b/r/R/arrow-package.R @@ -66,12 +66,12 @@ supported_dplyr_methods <- list( compute = NULL, collapse = NULL, distinct = "`.keep_all = TRUE` not supported", - left_join = "the `copy` and `na_matches` arguments are ignored", - right_join = "the `copy` and `na_matches` arguments are ignored", - inner_join = "the `copy` and `na_matches` arguments are ignored", - full_join = "the `copy` and `na_matches` arguments are ignored", - semi_join = "the `copy` and `na_matches` arguments are ignored", - anti_join = "the `copy` and `na_matches` arguments are ignored", + left_join = "the `copy` argument is ignored", + right_join = "the `copy` argument is ignored", + inner_join = "the `copy` argument is ignored", + full_join = "the `copy` argument is ignored", + semi_join = "the `copy` argument is ignored", + anti_join = "the `copy` argument is ignored", count = NULL, tally = NULL, rename_with = NULL, diff --git a/r/R/dplyr-funcs-doc.R b/r/R/dplyr-funcs-doc.R index 2042f800142b7..fda77bca83fc2 100644 --- a/r/R/dplyr-funcs-doc.R +++ b/r/R/dplyr-funcs-doc.R @@ -36,7 +36,7 @@ #' which returns an `arrow` [Table], or `collect()`, which pulls the resulting #' Table into an R `tibble`. #' -#' * [`anti_join()`][dplyr::anti_join()]: the `copy` and `na_matches` arguments are ignored +#' * [`anti_join()`][dplyr::anti_join()]: the `copy` argument is ignored #' * [`arrange()`][dplyr::arrange()] #' * [`collapse()`][dplyr::collapse()] #' * [`collect()`][dplyr::collect()] @@ -45,22 +45,22 @@ #' * [`distinct()`][dplyr::distinct()]: `.keep_all = TRUE` not supported #' * [`explain()`][dplyr::explain()] #' * [`filter()`][dplyr::filter()] -#' * [`full_join()`][dplyr::full_join()]: the `copy` and `na_matches` arguments are ignored +#' * [`full_join()`][dplyr::full_join()]: the `copy` argument is ignored #' * [`glimpse()`][dplyr::glimpse()] #' * [`group_by()`][dplyr::group_by()] #' * [`group_by_drop_default()`][dplyr::group_by_drop_default()] #' * [`group_vars()`][dplyr::group_vars()] #' * [`groups()`][dplyr::groups()] -#' * [`inner_join()`][dplyr::inner_join()]: the `copy` and `na_matches` arguments are ignored -#' * [`left_join()`][dplyr::left_join()]: the `copy` and `na_matches` arguments are ignored +#' * [`inner_join()`][dplyr::inner_join()]: the `copy` argument is ignored +#' * [`left_join()`][dplyr::left_join()]: the `copy` argument is ignored #' * [`mutate()`][dplyr::mutate()]: window functions (e.g. things that require aggregation within groups) not currently supported #' * [`pull()`][dplyr::pull()]: the `name` argument is not supported; returns an R vector by default but this behavior is deprecated and will return an Arrow [ChunkedArray] in a future release. Provide `as_vector = TRUE/FALSE` to control this behavior, or set `options(arrow.pull_as_vector)` globally. #' * [`relocate()`][dplyr::relocate()] #' * [`rename()`][dplyr::rename()] #' * [`rename_with()`][dplyr::rename_with()] -#' * [`right_join()`][dplyr::right_join()]: the `copy` and `na_matches` arguments are ignored +#' * [`right_join()`][dplyr::right_join()]: the `copy` argument is ignored #' * [`select()`][dplyr::select()] -#' * [`semi_join()`][dplyr::semi_join()]: the `copy` and `na_matches` arguments are ignored +#' * [`semi_join()`][dplyr::semi_join()]: the `copy` argument is ignored #' * [`show_query()`][dplyr::show_query()] #' * [`slice_head()`][dplyr::slice_head()]: slicing within groups not supported; Arrow datasets do not have row order, so head is non-deterministic; `prop` only supported on queries where `nrow()` is knowable without evaluating #' * [`slice_max()`][dplyr::slice_max()]: slicing within groups not supported; `with_ties = TRUE` (dplyr default) is not supported; `prop` only supported on queries where `nrow()` is knowable without evaluating diff --git a/r/man/acero.Rd b/r/man/acero.Rd index 365795d9fc65c..ca51ef56334eb 100644 --- a/r/man/acero.Rd +++ b/r/man/acero.Rd @@ -23,7 +23,7 @@ the query on the data. To run the query, call either \code{compute()}, which returns an \code{arrow} \link{Table}, or \code{collect()}, which pulls the resulting Table into an R \code{tibble}. \itemize{ -\item \code{\link[dplyr:filter-joins]{anti_join()}}: the \code{copy} and \code{na_matches} arguments are ignored +\item \code{\link[dplyr:filter-joins]{anti_join()}}: the \code{copy} argument is ignored \item \code{\link[dplyr:arrange]{arrange()}} \item \code{\link[dplyr:compute]{collapse()}} \item \code{\link[dplyr:compute]{collect()}} @@ -32,22 +32,22 @@ Table into an R \code{tibble}. \item \code{\link[dplyr:distinct]{distinct()}}: \code{.keep_all = TRUE} not supported \item \code{\link[dplyr:explain]{explain()}} \item \code{\link[dplyr:filter]{filter()}} -\item \code{\link[dplyr:mutate-joins]{full_join()}}: the \code{copy} and \code{na_matches} arguments are ignored +\item \code{\link[dplyr:mutate-joins]{full_join()}}: the \code{copy} argument is ignored \item \code{\link[dplyr:glimpse]{glimpse()}} \item \code{\link[dplyr:group_by]{group_by()}} \item \code{\link[dplyr:group_by_drop_default]{group_by_drop_default()}} \item \code{\link[dplyr:group_data]{group_vars()}} \item \code{\link[dplyr:group_data]{groups()}} -\item \code{\link[dplyr:mutate-joins]{inner_join()}}: the \code{copy} and \code{na_matches} arguments are ignored -\item \code{\link[dplyr:mutate-joins]{left_join()}}: the \code{copy} and \code{na_matches} arguments are ignored +\item \code{\link[dplyr:mutate-joins]{inner_join()}}: the \code{copy} argument is ignored +\item \code{\link[dplyr:mutate-joins]{left_join()}}: the \code{copy} argument is ignored \item \code{\link[dplyr:mutate]{mutate()}}: window functions (e.g. things that require aggregation within groups) not currently supported \item \code{\link[dplyr:pull]{pull()}}: the \code{name} argument is not supported; returns an R vector by default but this behavior is deprecated and will return an Arrow \link{ChunkedArray} in a future release. Provide \code{as_vector = TRUE/FALSE} to control this behavior, or set \code{options(arrow.pull_as_vector)} globally. \item \code{\link[dplyr:relocate]{relocate()}} \item \code{\link[dplyr:rename]{rename()}} \item \code{\link[dplyr:rename]{rename_with()}} -\item \code{\link[dplyr:mutate-joins]{right_join()}}: the \code{copy} and \code{na_matches} arguments are ignored +\item \code{\link[dplyr:mutate-joins]{right_join()}}: the \code{copy} argument is ignored \item \code{\link[dplyr:select]{select()}} -\item \code{\link[dplyr:filter-joins]{semi_join()}}: the \code{copy} and \code{na_matches} arguments are ignored +\item \code{\link[dplyr:filter-joins]{semi_join()}}: the \code{copy} argument is ignored \item \code{\link[dplyr:explain]{show_query()}} \item \code{\link[dplyr:slice]{slice_head()}}: slicing within groups not supported; Arrow datasets do not have row order, so head is non-deterministic; \code{prop} only supported on queries where \code{nrow()} is knowable without evaluating \item \code{\link[dplyr:slice]{slice_max()}}: slicing within groups not supported; \code{with_ties = TRUE} (dplyr default) is not supported; \code{prop} only supported on queries where \code{nrow()} is knowable without evaluating