[GitHub] [arrow] thisisnic opened a new issue, #35806: [R] Error message caused by reading sparsely populated data is misleading

["thisisnic (via GitHub)" <gi...@apache.org>]

thisisnic opened a new issue, #35806:
URL: https://github.com/apache/arrow/issues/35806

   ### Describe the bug, including details regarding any error messages, version, and platform.
   
   We should either remove the error message or change/append the helper text for `null` columns.
   
   ``` r
   library(arrow)
   library(dplyr)
   
   df <- tibble::tibble(x = 1:1000001, y = c(rep(NA, 1000000), 123456))
   tf <- tempfile()               
   write_csv_arrow(df, tf)
   open_dataset(tf, format = "csv") %>% collect()
   #> Error in `compute.Dataset()`:
   #> ! Invalid: In CSV column #1: Row #1000002: CSV conversion error to null: invalid value '123456'
   #> ℹ If you have supplied a schema and your data contains a header row, you should supply the argument `skip = 1` to prevent the header being read in as data.
   #> Backtrace:
   #>      ▆
   #>   1. ├─open_dataset(tf, format = "csv") %>% collect()
   #>   2. ├─dplyr::collect(.)
   #>   3. └─arrow:::collect.Dataset(.)
   #>   4.   ├─arrow:::collect.ArrowTabular(compute.Dataset(x), as_data_frame)
   #>   5.   │ └─base::as.data.frame(x, ...)
   #>   6.   └─arrow:::compute.Dataset(x)
   #>   7.     └─base::tryCatch(...)
   #>   8.       └─base (local) tryCatchList(expr, classes, parentenv, handlers)
   #>   9.         └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
   #>  10.           └─value[[3L]](cond)
   #>  11.             └─arrow:::augment_io_error_msg(e, call, schema = schema())
   #>  12.               └─arrow:::handle_csv_read_error(msg, call, schema)
   #>  13.                 └─rlang::abort(msg, call = call)
   ```
   
   
   
   
   ### Component(s)
   
   R


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