# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. # The following S3 methods are registered on load if dplyr is present distinct.arrow_dplyr_query <- function(.data, ..., .keep_all = FALSE) { if (.keep_all == TRUE) { # After ARROW-13993 is merged, we can implement this (ARROW-14045) arrow_not_supported("`distinct()` with `.keep_all = TRUE`") } original_gv <- dplyr::group_vars(.data) if (length(quos(...))) { # group_by() calls mutate() if there are any expressions in ... .data <- dplyr::group_by(.data, ..., .add = TRUE) # `data %>% group_by() %>% summarise()` returns cols in order supplied # but distinct() returns cols in dataset order, so sort group vars .data$group_by_vars <- names(.data)[names(.data) %in% .data$group_by_vars] } else { # distinct() with no vars specified means distinct across all cols .data <- dplyr::group_by(.data, !!!syms(names(.data))) } out <- dplyr::summarize(.data, .groups = "drop") # distinct() doesn't modify group by vars, so restore the original ones if (length(original_gv)) { out$group_by_vars <- original_gv } out } distinct.Dataset <- distinct.ArrowTabular <- distinct.arrow_dplyr_query