paleolimbot commented on pull request #11690:
URL: https://github.com/apache/arrow/pull/11690#issuecomment-977160148
Ok...this has improved semantics for data.frame and better errors for tibble
with respect to duplicate/missing names for columns.
``` r
library(arrow, warn.conflicts = FALSE)
library(dplyr, warn.conflicts = FALSE)
df <- data.frame(a = 1)
# "normal"
df %>% mutate(df_col = tibble(a2 = a)) %>% collect()
#> Warning in format.data.frame(if (omit) x[seq_len(n0), , drop = FALSE]
else x, :
#> corrupt data frame: columns will be truncated or padded with NAs
#> a df_col
#> 1 1 # A tibble: 1 × 1
df %>% mutate(df_col = data.frame(a2 = a)) %>% collect()
#> a a2
#> 1 1 1
# duplicated cols
df %>% mutate(df_col = tibble(a, a)) %>% collect()
#> Error: Problem with `mutate()` column `df_col`.
#> ℹ `df_col = tibble(a, a)`.
#> x Column name `a` must not be duplicated.
#> Use .name_repair to specify repair.
df %>% mutate(df_col = data.frame(a, a)) %>% collect()
#> a df_col.a df_col.a.1
#> 1 1 1 1
df %>% mutate(df_col = data.frame(a, a, check.names = FALSE)) %>% collect()
#> a df_col.a df_col.a
#> 1 1 1 1
# empty names
df %>%
mutate(df_col = data.frame(a, check.names = TRUE, fix.empty.names = TRUE))
%>%
collect()
#> a a
#> 1 1 1
df %>%
mutate(df_col = data.frame(a, check.names = TRUE, fix.empty.names =
FALSE)) %>%
collect()
#> a
#> 1 1 1
df %>%
mutate(df_col = data.frame(a, check.names = FALSE, fix.empty.names =
TRUE)) %>%
collect()
#> a a
#> 1 1 1
df %>%
mutate(df_col = data.frame(a, check.names = FALSE, fix.empty.names =
FALSE)) %>%
collect()
#> a
#> 1 1 1
# ignored
df %>% mutate(df_col = data.frame(a, check.rows = TRUE)) %>% collect()
#> a a
#> 1 1 1
df %>% mutate(df_col = data.frame(a, row.names = TRUE)) %>% collect()
#> a a
#> 1 1 1
```
<sup>Created on 2021-11-23 by the [reprex
package](https://reprex.tidyverse.org) (v2.0.1)</sup>
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