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Posted to jira@arrow.apache.org by "Nicola Crane (Jira)" <ji...@apache.org> on 2022/10/31 11:07:00 UTC

[jira] [Updated] (ARROW-18195) [R][C++] Final value returned by case_when is NA when input has 64 or more values and 1 or more NAs

     [ https://issues.apache.org/jira/browse/ARROW-18195?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Nicola Crane updated ARROW-18195:
---------------------------------
    Summary: [R][C++] Final value returned by case_when is NA when input has 64 or more values and 1 or more NAs  (was: [R] case_when bug with NA's)

> [R][C++] Final value returned by case_when is NA when input has 64 or more values and 1 or more NAs
> ---------------------------------------------------------------------------------------------------
>
>                 Key: ARROW-18195
>                 URL: https://issues.apache.org/jira/browse/ARROW-18195
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: R
>    Affects Versions: 10.0.0
>            Reporter: Lee Mendelowitz
>            Priority: Major
>         Attachments: test_issue.R
>
>
> There appears to be a bug when processing an Arrow table with NA values and using `dplyr::case_when`. A reproducible example is below: the output from arrow table processing does not match the output when processing a tibble. If the NA's are removed from the dataframe, then the outputs match.
> {noformat}
> ``` r
> library(dplyr)
> #> 
> #> Attaching package: 'dplyr'
> #> The following objects are masked from 'package:stats':
> #> 
> #>     filter, lag
> #> The following objects are masked from 'package:base':
> #> 
> #>     intersect, setdiff, setequal, union
> library(arrow)
> #> 
> #> Attaching package: 'arrow'
> #> The following object is masked from 'package:utils':
> #> 
> #>     timestamp
> library(assertthat)
> play_results = c('single', 'double', 'triple', 'home_run')
> nrows = 1000
> # Change frac_na to 0, and the result error disappears.
> frac_na = 0.05
> # Create a test dataframe with NA values
> test_df = tibble(
>         play_result = sample(play_results, nrows, replace = TRUE)
>     ) %>%
>     mutate(
>         play_result = ifelse(runif(nrows) < frac_na, NA_character_, play_result)
>     )
>     
> test_arrow = arrow_table(test_df)
> process_plays = function(df) {
>     df %>%
>         mutate(
>             avg = case_when(
>                 play_result == 'single' ~ 1,
>                 play_result == 'double' ~ 1,
>                 play_result == 'triple' ~ 1,
>                 play_result == 'home_run' ~ 1,
>                 is.na(play_result) ~ NA_real_,
>                 TRUE ~ 0
>             )
>         ) %>%
>         count(play_result, avg) %>%
>         arrange(play_result)
> }
> # Compare arrow_table reuslt to tibble result
> result_tibble = process_plays(test_df)
> result_arrow = process_plays(test_arrow) %>% collect()
> assertthat::assert_that(identical(result_tibble, result_arrow))
> #> Error: result_tibble not identical to result_arrow
> ```
> <sup>Created on 2022-10-29 with [reprex v2.0.2](https://reprex.tidyverse.org)</sup>
> {noformat}
> I have reproduced this issue both on Mac OS and Ubuntu 20.04.
>  
> {noformat}
> ```
> r$> sessionInfo()
> R version 4.2.1 (2022-06-23)
> Platform: aarch64-apple-darwin21.5.0 (64-bit)
> Running under: macOS Monterey 12.5.1
> Matrix products: default
> BLAS:   /opt/homebrew/Cellar/openblas/0.3.20/lib/libopenblasp-r0.3.20.dylib
> LAPACK: /opt/homebrew/Cellar/r/4.2.1/lib/R/lib/libRlapack.dylib
> locale:
> [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
> attached base packages:
> [1] stats     graphics  grDevices datasets  utils     methods   base
> other attached packages:
> [1] assertthat_0.2.1 arrow_10.0.0     dplyr_1.0.10
> loaded via a namespace (and not attached):
>  [1] compiler_4.2.1    pillar_1.8.1      highr_0.9         R.methodsS3_1.8.2 R.utils_2.12.0    tools_4.2.1       bit_4.0.4         digest_0.6.29
>  [9] evaluate_0.15     lifecycle_1.0.1   tibble_3.1.8      R.cache_0.16.0    pkgconfig_2.0.3   rlang_1.0.5       reprex_2.0.2      DBI_1.1.2
> [17] cli_3.3.0         rstudioapi_0.13   yaml_2.3.5        xfun_0.31         fastmap_1.1.0     withr_2.5.0       styler_1.8.0      knitr_1.39
> [25] generics_0.1.3    fs_1.5.2          vctrs_0.4.1       bit64_4.0.5       tidyselect_1.1.2  glue_1.6.2        R6_2.5.1          processx_3.5.3
> [33] fansi_1.0.3       rmarkdown_2.14    purrr_0.3.4       callr_3.7.0       clipr_0.8.0       magrittr_2.0.3    ellipsis_0.3.2    ps_1.7.0
> [41] htmltools_0.5.3   renv_0.16.0       utf8_1.2.2        R.oo_1.25.0
> ```
> {noformat}



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