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https://issues.apache.org/jira/browse/ARROW-14644?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andy Teucher updated ARROW-14644:
---------------------------------
Description:
When a CSV file starts with byte order mark, {{arrow::open_dataset()}} reads
the file but populates the first column with {{NA}} values. It appears a
similar issue was raised and fixed here:
https://issues.apache.org/jira/browse/ARROW-5413. {{read_csv_arrow()}} deals
with the BOM correctly.
Reproducible Example:
{code:java}
library(arrow)
library(dplyr)
writeLines('\xef\xbb\xbfa,b\n1,2\n', con = "testfile.csv")
read_csv_arrow("testfile.csv") # works
#> # A tibble: 1 × 2
#> a b
#> <int> <int>
#> 1 1 2
open_dataset("testfile.csv", format = "csv") |>
collect()
#> # A tibble: 1 × 2
#> a b
#> <int> <int>
#> 1 NA 2 {code}
was:
When a CSV file starts with byte order mark, {{arrow::open_dataset()}} reads
the file but populates the first column with {{NA}} values. It appears a
similar issue was raised and fixed here. {{read_csv_arrow()}} deals with the
BOM correctly.
Reproducible Example:
{code:java}
library(arrow)
library(dplyr)
writeLines('\xef\xbb\xbfa,b\n1,2\n', con = "testfile.csv")
read_csv_arrow("testfile.csv") # works
#> # A tibble: 1 × 2
#> a b
#> <int> <int>
#> 1 1 2
open_dataset("testfile.csv", format = "csv") |>
collect()
#> # A tibble: 1 × 2
#> a b
#> <int> <int>
#> 1 NA 2 {code}
> [R] open_dataset doesn't ignore BOM in csv file
> -----------------------------------------------
>
> Key: ARROW-14644
> URL: https://issues.apache.org/jira/browse/ARROW-14644
> Project: Apache Arrow
> Issue Type: Bug
> Components: R
> Affects Versions: 6.0.0
> Environment: macOS Mojave, R 4.1.1
> Reporter: Andy Teucher
> Priority: Major
>
> When a CSV file starts with byte order mark, {{arrow::open_dataset()}} reads
> the file but populates the first column with {{NA}} values. It appears a
> similar issue was raised and fixed here:
> https://issues.apache.org/jira/browse/ARROW-5413. {{read_csv_arrow()}} deals
> with the BOM correctly.
> Reproducible Example:
> {code:java}
> library(arrow)
> library(dplyr)
> writeLines('\xef\xbb\xbfa,b\n1,2\n', con = "testfile.csv")
> read_csv_arrow("testfile.csv") # works
> #> # A tibble: 1 × 2
> #> a b
> #> <int> <int>
> #> 1 1 2
> open_dataset("testfile.csv", format = "csv") |>
> collect()
> #> # A tibble: 1 × 2
> #> a b
> #> <int> <int>
> #> 1 NA 2 {code}
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