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
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
|
join_cols <- function(x_names,
y_names,
by,
...,
suffix = c(".x", ".y"),
keep = NULL,
error_call = caller_env()) {
check_dots_empty0(...)
if (is_false(keep) && any(by$condition != "==")) {
abort(
"Can't set `keep = FALSE` when using an inequality, rolling, or overlap join.",
call = error_call
)
}
check_duplicate_vars(x_names, "x", error_call = error_call)
check_duplicate_vars(y_names, "y", error_call = error_call)
check_join_vars(by$x, x_names, by$condition, "x", error_call = error_call)
check_join_vars(by$y, y_names, by$condition, "y", error_call = error_call)
suffix <- standardise_join_suffix(suffix, error_call = error_call)
x_by <- set_names(match(by$x, x_names), by$x)
y_by <- set_names(match(by$y, y_names), by$y)
x_loc <- seq_along(x_names)
names(x_loc) <- x_names
if (is_null(keep)) {
# In x_out, equi key variables need to keep the same name, and non-equi
# key variables and aux variables need suffixes for duplicates that appear
# in y_out. This is equivalent to `keep = TRUE` for the non-equi keys and
# `keep = FALSE` for the equi keys.
equi <- by$condition == "=="
y_aux <- setdiff(y_names, c(by$x[equi], by$y[equi]))
x_ignore <- by$x[equi]
x_check <- !x_names %in% x_ignore
names(x_loc)[x_check] <- add_suffixes(x_names[x_check], c(x_ignore, y_aux), suffix$x)
} else if (is_false(keep)) {
# In x_out, key variables need to keep the same name, and aux
# variables need suffixes for duplicates that appear in y_out
y_aux <- setdiff(y_names, c(by$x, by$y))
x_ignore <- by$x
x_check <- !x_names %in% x_ignore
names(x_loc)[x_check] <- add_suffixes(x_names[x_check], c(x_ignore, y_aux), suffix$x)
} else {
# In x_out, key variables and aux variables need suffixes
# for duplicates that appear in y_out
names(x_loc) <- add_suffixes(x_names, y_names, suffix$x)
}
y_loc <- seq_along(y_names)
names(y_loc) <- add_suffixes(y_names, x_names, suffix$y)
if (is_null(keep)) {
equi <- by$condition == "=="
y_ignore <- by$y[equi]
y_loc <- y_loc[!y_names %in% y_ignore]
} else if (is_false(keep)) {
y_ignore <- by$y
y_loc <- y_loc[!y_names %in% y_ignore]
}
# key = named locations to use for matching
# out = named locations to use in output
list(
x = list(key = x_by, out = x_loc),
y = list(key = y_by, out = y_loc)
)
}
check_join_vars <- function(vars,
names,
condition,
input,
...,
error_call = caller_env()) {
check_dots_empty0(...)
if (!is.character(vars)) {
message <- "Join columns in `{input}` must be character vectors."
cli_abort(message, call = error_call)
}
na <- is.na(vars)
if (any(na)) {
bullets <- c(
"Join columns in `{input}` can't be `NA`.",
x = "Problem at position {err_vars(na)}."
)
abort(bullets, call = error_call)
}
# Columns are allowed to appear in more than one non-equi condition
# (but not in a mix of non-equi and equi conditions).
# When non-equi conditions are present, `keep` can't be `FALSE` so we don't
# have to worry about merging into the same key column multiple times (#6499).
non_equi <- condition != "=="
vars <- c(vars[!non_equi], unique(vars[non_equi]))
dup <- duplicated(vars)
if (any(dup)) {
vars <- unique(vars[dup])
bullets <- c(
"Join columns in `{input}` must be unique.",
x = "Problem with {err_vars(vars)}."
)
cli_abort(bullets, call = error_call)
}
missing <- setdiff(vars, names)
if (length(missing) > 0) {
bullets <- c(
"Join columns in `{input}` must be present in the data.",
x = "Problem with {err_vars(missing)}."
)
cli_abort(bullets, call = error_call)
}
}
check_duplicate_vars <- function(vars,
input,
...,
error_call = caller_env()) {
check_dots_empty0(...)
dup <- duplicated(vars)
if (any(dup)) {
bullets <- c(
"Input columns in `{input}` must be unique.",
x = "Problem with {err_vars(vars[dup])}."
)
cli_abort(bullets, call = error_call)
}
}
standardise_join_suffix <- function(x,
...,
error_call = caller_env()) {
check_dots_empty0(...)
if (!is.character(x) || length(x) != 2) {
bullets <- c(
"`suffix` must be a character vector of length 2, not {.obj_type_friendly {x}} of length {length(x)}."
)
cli_abort(bullets, call = error_call)
}
if (any(is.na(x))) {
msg <- "`suffix` can't be `NA`."
cli_abort(msg, call = error_call)
}
list(x = x[[1]], y = x[[2]])
}
# `join_cols()` checks that `x` and `y` are individually unique,
# which plays into assumptions made here
add_suffixes <- function(x, y, suffix) {
if (identical(suffix, "")) {
return(x)
}
x <- c(y, x)
# Never marks the "first" duplicate (i.e. never anything in `y`)
dup <- duplicated(x)
while (any(dup)) {
x[dup] <- paste0(x[dup], suffix)
dup <- duplicated(x)
}
loc <- seq2(length(y) + 1L, length(x))
x <- x[loc]
x
}
|
