[jira] [Created] (ARROW-14744) [R] open_dataset() error when `schema` argument supplied, but `column_names` not supplied to `CSVReadOptions`

["Nicola Crane (Jira)" <ji...@apache.org>]

Nicola Crane created ARROW-14744:
------------------------------------

             Summary: [R] open_dataset() error when `schema` argument supplied, but `column_names` not supplied to `CSVReadOptions`
                 Key: ARROW-14744
                 URL: https://issues.apache.org/jira/browse/ARROW-14744
             Project: Apache Arrow
          Issue Type: Bug
          Components: R
            Reporter: Nicola Crane


Note: this occurs regardless of whether the data has a header or not

{code:r}
td <- tempfile()
dir.create(td)

readr::write_csv(ggplot2::diamonds, file=file.path(td, 'diamonds.csv'), col_names=FALSE)
readLines(file.path(td, "diamonds.csv"), n = 2)

open_dataset(
  td,
  format = 'csv',
  schema = diamond_schema,
  partitioning = NULL,
  skip_rows = 1,
  unify_schemas = FALSE,
  read_options = arrow::CsvReadOptions$create(
    skip_rows = 1,
    column_names = names(diamond_schema)
  )
) %>%
  collect()
# # A tibble: 53,939 × 10
#    carat cut       color clarity depth table price     x     y     z
#    <dbl> <chr>     <chr> <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#  1  0.21 Premium   E     SI1      59.8    61   326  3.89  3.84  2.31
#  2  0.23 Good      E     VS1      56.9    65   327  4.05  4.07  2.31
#  3  0.29 Premium   I     VS2      62.4    58   334  4.2   4.23  2.63
#  4  0.31 Good      J     SI2      63.3    58   335  4.34  4.35  2.75
#  5  0.24 Very Good J     VVS2     62.8    57   336  3.94  3.96  2.48
#  6  0.24 Very Good I     VVS1     62.3    57   336  3.95  3.98  2.47
#  7  0.26 Very Good H     SI1      61.9    55   337  4.07  4.11  2.53
#  8  0.22 Fair      E     VS2      65.1    61   337  3.87  3.78  2.49
#  9  0.23 Very Good H     VS1      59.4    61   338  4     4.05  2.39
# 10  0.3  Good      J     SI1      64      55   339  4.25  4.28  2.73
# # … with 53,929 more rows


open_dataset(
  td,
  format='csv',
  schema = diamond_schema,
  skip_rows = 1,
  read_options=arrow::CsvReadOptions$create(skip_rows=1)) %>%
  collect()

# # A tibble: 53,938 × 10
#    carat cut   color clarity depth table price     x     y     z
#    <dbl> <chr> <chr> <chr>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#  1    NA NA    NA    NA         NA    NA    NA    NA    NA    NA
#  2    NA NA    NA    NA         NA    NA    NA    NA    NA    NA
#  3    NA NA    NA    NA         NA    NA    NA    NA    NA    NA
#  4    NA NA    NA    NA         NA    NA    NA    NA    NA    NA
#  5    NA NA    NA    NA         NA    NA    NA    NA    NA    NA
#  6    NA NA    NA    NA         NA    NA    NA    NA    NA    NA
#  7    NA NA    NA    NA         NA    NA    NA    NA    NA    NA
#  8    NA NA    NA    NA         NA    NA    NA    NA    NA    NA
#  9    NA NA    NA    NA         NA    NA    NA    NA    NA    NA
# 10    NA NA    NA    NA         NA    NA    NA    NA    NA    NA
# # … with 53,928 more rows
{code}



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