1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
|
# 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
count.arrow_dplyr_query <- function(x, ..., wt = NULL, sort = FALSE, name = NULL) {
if (!missing(...)) {
out <- dplyr::group_by(x, ..., .add = TRUE)
} else {
out <- x
}
out <- dplyr::tally(out, wt = {{ wt }}, sort = sort, name = name)
# Restore original group vars
gv <- dplyr::group_vars(x)
if (length(gv)) {
out$group_by_vars <- gv
}
out
}
count.Dataset <- count.ArrowTabular <- count.arrow_dplyr_query
#' @importFrom rlang sym :=
tally.arrow_dplyr_query <- function(x, wt = NULL, sort = FALSE, name = NULL) {
check_name <- utils::getFromNamespace("check_name", "dplyr")
name <- check_name(name, dplyr::group_vars(x))
if (quo_is_null(enquo(wt))) {
out <- dplyr::summarize(x, !!name := n())
} else {
out <- dplyr::summarize(x, !!name := sum({{ wt }}, na.rm = TRUE))
}
if (sort) {
dplyr::arrange(out, desc(!!sym(name)))
} else {
out
}
}
tally.Dataset <- tally.ArrowTabular <- tally.arrow_dplyr_query
# we don't want to depend on dplyr, but we refrence these above
utils::globalVariables(c("n", "desc"))
|
