etiennebacher opened a new issue, #34965:
URL: https://github.com/apache/arrow/issues/34965
### Describe the enhancement requested
Hello, I'm just getting started with `arrow` so I hope this request makes
sense.
I have a list of CSV files that have some duplicated column names. When I
use `readr::read_csv()`, it automatically "repairs" those names to make them
unique but `arrow::open_csv_dataset()` errors because of those duplicated
column names:
``` r
packageVersion("arrow")
#> [1] '11.0.0.3'
file_location <- tempfile(fileext = ".csv")
test <- data.frame(x = 1, x = 2, check.names = FALSE)
write.csv(test, file_location)
readr::read_csv(file_location)
#> New names:
#> Rows: 1 Columns: 3
#> ── Column specification
#> ──────────────────────────────────────────────────────── Delimiter: ","
dbl
#> (3): ...1, x...2, x...3
#> ℹ Use `spec()` to retrieve the full column specification for this data. ℹ
#> Specify the column types or set `show_col_types = FALSE` to quiet this
message.
#> • `` -> `...1`
#> • `x` -> `x...2`
#> • `x` -> `x...3`
#> # A tibble: 1 × 3
#> ...1 x...2 x...3
#> <dbl> <dbl> <dbl>
#> 1 1 1 2
arrow::open_csv_dataset(file_location)
#> Error in `open_dataset()`:
#> ! Invalid: Error creating dataset. Could not read schema from
'C:/Users/etienne/AppData/Local/Temp/RtmpYLHyDe/file3c7c3a407a21.csv': Could
not open CSV input source
'C:/Users/etienne/AppData/Local/Temp/RtmpYLHyDe/file3c7c3a407a21.csv': Invalid:
CSV file contained multiple columns named x. Is this a 'csv' file?
#> Backtrace:
#> ▆
#> 1. └─arrow (local) `<fn>`(sources = file_location, delim = ",")
#> 2. └─arrow::open_dataset(...)
#> 3. └─base::tryCatch(...)
#> 4. └─base (local) tryCatchList(expr, classes, parentenv, handlers)
#> 5. └─base (local) tryCatchOne(expr, names, parentenv,
handlers[[1L]])
#> 6. └─value[[3L]](cond)
#> 7. └─arrow:::augment_io_error_msg(e, call, format = format)
#> 8. └─rlang::abort(msg, call = call)
```
I could ignore those names with `col_select = - c(<colnames to ignore>)`.
However, those columns are not necessarily in all CSV files and if they're not
then `open_csv_dataset()` also errors.
Would it be possible to add an argument to repair the column names or to
ignore them (i.e not load them)? Or am I missing something obvious?
Thanks for your work!
### Component(s)
R
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