Segfault when using rbind() to combine two rowwise data frames

[GBarnsley]

When I use rbind to combine two row-wise data frames I get a vec_slice or segfault caught error.

library(dplyr)
rw_df <- iris %>%
    rowwise()

df_2 <- rbind(rw_df, rw_df)

#do something that access the values of the data frame
filter(df_2, Species == "setosa")

I'm using R 4.3.2 on Fedora 39, this happens both on the latest CRAN version (1.1.4) and the current GitHub version of Dplyr (d698022)

[etiennebacher]

I can reproduce this segfault when rbind() is used. A workaround is to use bind_rows() instead:

library(dplyr, warn.conflicts = FALSE)
rw_df <- iris %>%
  rowwise()

df_2 <- bind_rows(rw_df, rw_df)

filter(df_2, Species == "setosa")
#> # A tibble: 100 × 5
#> # Rowwise: 
#>    Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#>           <dbl>       <dbl>        <dbl>       <dbl> <fct>  
#>  1          5.1         3.5          1.4         0.2 setosa 
#>  2          4.9         3            1.4         0.2 setosa 
#>  3          4.7         3.2          1.3         0.2 setosa 
#>  4          4.6         3.1          1.5         0.2 setosa 
#>  5          5           3.6          1.4         0.2 setosa 
#>  6          5.4         3.9          1.7         0.4 setosa 
#>  7          4.6         3.4          1.4         0.3 setosa 
#>  8          5           3.4          1.5         0.2 setosa 
#>  9          4.4         2.9          1.4         0.2 setosa 
#> 10          4.9         3.1          1.5         0.1 setosa 
#> # ℹ 90 more rows

[DavisVaughan]

Yea I can reproduce too, thanks, this is likely a vctrs issue so i will transfer there.

One thing to note is that the attributes on the result are definitely wrong (i.e. only shows 150 groups). There is a chance this may be an rbind() thing we can't work around, but not sure yet.

library(dplyr)

rw_df <- iris %>%
    rowwise()

df_2 <- rbind(rw_df, rw_df)

df_2
#> # A tibble: 300 × 5
#> # Rowwise: 
#>    Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#>           <dbl>       <dbl>        <dbl>       <dbl> <fct>  
#>  1          5.1         3.5          1.4         0.2 setosa 
#>  2          4.9         3            1.4         0.2 setosa 
#>  3          4.7         3.2          1.3         0.2 setosa 
#>  4          4.6         3.1          1.5         0.2 setosa 
#>  5          5           3.6          1.4         0.2 setosa 
#>  6          5.4         3.9          1.7         0.4 setosa 
#>  7          4.6         3.4          1.4         0.3 setosa 
#>  8          5           3.4          1.5         0.2 setosa 
#>  9          4.4         2.9          1.4         0.2 setosa 
#> 10          4.9         3.1          1.5         0.1 setosa 
#> # ℹ 290 more rows

attributes(df_2)
#> $row.names
#>   [1]   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17  18
#>  [19]  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35  36
#>  [37]  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53  54
#>  [55]  55  56  57  58  59  60  61  62  63  64  65  66  67  68  69  70  71  72
#>  [73]  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89  90
#>  [91]  91  92  93  94  95  96  97  98  99 100 101 102 103 104 105 106 107 108
#> [109] 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126
#> [127] 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144
#> [145] 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162
#> [163] 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180
#> [181] 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198
#> [199] 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216
#> [217] 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234
#> [235] 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252
#> [253] 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270
#> [271] 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288
#> [289] 289 290 291 292 293 294 295 296 297 298 299 300
#> 
#> $names
#> [1] "Sepal.Length" "Sepal.Width"  "Petal.Length" "Petal.Width"  "Species"     
#> 
#> $groups
#> # A tibble: 150 × 1
#>          .rows
#>    <list<int>>
#>  1         [1]
#>  2         [1]
#>  3         [1]
#>  4         [1]
#>  5         [1]
#>  6         [1]
#>  7         [1]
#>  8         [1]
#>  9         [1]
#> 10         [1]
#> # ℹ 140 more rows
#> 
#> $class
#> [1] "rowwise_df" "tbl_df"     "tbl"        "data.frame"

^{Created on 2024-05-14 with reprex v2.0.2}

[DavisVaughan]

Closing in favor of r-lib/vctrs#1935