[R] Casting columns using dplyr::mutate in arrow datasets results in NA values #34519
Description
Describe the bug, including details regarding any error messages, version, and platform.
I was testing the latest arrow develop version using this method to install from git.
And now it seems I cannot cast columns in a dataset, it results in NA values:
I tried using both parquet and arrow files. This does work using latest version on CRAN (11.0.0.3) and using arrow tables instead of datasets.
Reprex:
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)
#> Some features are not enabled in this build of Arrow. Run `arrow_info()` for more information.
#>
#> Attaching package: 'arrow'
#> The following object is masked from 'package:utils':
#>
#> timestamp
mtcars %>% write_dataset('./mtcars/')
ds <- open_dataset('./mtcars')
ds %>% dplyr::collect()
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> 1 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
#> 2 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
#> 3 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> 4 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
#> 5 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
#> 6 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
#> 7 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
#> 8 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
#> 9 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
#> 10 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
#> 11 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
#> 12 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
#> 13 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
#> 14 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
#> 15 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
#> 16 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
#> 17 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
#> 18 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
#> 19 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> 20 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
#> 21 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
#> 22 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
#> 23 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
#> 24 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
#> 25 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
#> 26 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
#> 27 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
#> 28 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
#> 29 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
#> 30 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
#> 31 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
#> 32 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
ds %>% dplyr::mutate(mpg=as.numeric(mpg)) %>% dplyr::collect()
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> 1 NA 6 160.0 110 3.90 2.620 16.46 0 1 4 4
#> 2 NA 6 160.0 110 3.90 2.875 17.02 0 1 4 4
#> 3 NA 4 108.0 93 3.85 2.320 18.61 1 1 4 1
#> 4 NA 6 258.0 110 3.08 3.215 19.44 1 0 3 1
#> 5 NA 8 360.0 175 3.15 3.440 17.02 0 0 3 2
#> 6 NA 6 225.0 105 2.76 3.460 20.22 1 0 3 1
#> 7 NA 8 360.0 245 3.21 3.570 15.84 0 0 3 4
#> 8 NA 4 146.7 62 3.69 3.190 20.00 1 0 4 2
#> 9 NA 4 140.8 95 3.92 3.150 22.90 1 0 4 2
#> 10 NA 6 167.6 123 3.92 3.440 18.30 1 0 4 4
#> 11 NA 6 167.6 123 3.92 3.440 18.90 1 0 4 4
#> 12 NA 8 275.8 180 3.07 4.070 17.40 0 0 3 3
#> 13 NA 8 275.8 180 3.07 3.730 17.60 0 0 3 3
#> 14 NA 8 275.8 180 3.07 3.780 18.00 0 0 3 3
#> 15 NA 8 472.0 205 2.93 5.250 17.98 0 0 3 4
#> 16 NA 8 460.0 215 3.00 5.424 17.82 0 0 3 4
#> 17 NA 8 440.0 230 3.23 5.345 17.42 0 0 3 4
#> 18 NA 4 78.7 66 4.08 2.200 19.47 1 1 4 1
#> 19 NA 4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> 20 NA 4 71.1 65 4.22 1.835 19.90 1 1 4 1
#> 21 NA 4 120.1 97 3.70 2.465 20.01 1 0 3 1
#> 22 NA 8 318.0 150 2.76 3.520 16.87 0 0 3 2
#> 23 NA 8 304.0 150 3.15 3.435 17.30 0 0 3 2
#> 24 NA 8 350.0 245 3.73 3.840 15.41 0 0 3 4
#> 25 NA 8 400.0 175 3.08 3.845 17.05 0 0 3 2
#> 26 NA 4 79.0 66 4.08 1.935 18.90 1 1 4 1
#> 27 NA 4 120.3 91 4.43 2.140 16.70 0 1 5 2
#> 28 NA 4 95.1 113 3.77 1.513 16.90 1 1 5 2
#> 29 NA 8 351.0 264 4.22 3.170 14.50 0 1 5 4
#> 30 NA 6 145.0 175 3.62 2.770 15.50 0 1 5 6
#> 31 NA 8 301.0 335 3.54 3.570 14.60 0 1 5 8
#> 32 NA 4 121.0 109 4.11 2.780 18.60 1 1 4 2Created on 2023-03-09 with reprex v2.0.2
Arrow Info
Arrow package version: 11.0.0.9000Capabilities:
dataset TRUE
substrait FALSE
parquet TRUE
json TRUE
s3 FALSE
gcs FALSE
utf8proc TRUE
re2 TRUE
snappy TRUE
gzip FALSE
brotli FALSE
zstd FALSE
lz4 TRUE
lz4_frame TRUE
lzo FALSE
bz2 FALSE
jemalloc FALSE
mimalloc TRUE
To reinstall with more optional capabilities enabled, see
https://arrow.apache.org/docs/r/articles/install.html
Memory:
Allocator mimalloc
Current 13.31 Kb
Max 46.31 Mb
Runtime:
SIMD Level avx2
Detected SIMD Level avx2
Build:
C++ Library Version 12.0.0-SNAPSHOT
C++ Compiler GNU
C++ Compiler Version 12.2.0
Git ID b679a96
sessionInfo
R version 4.2.2 (2022-10-31) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Ubuntu 22.10Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.10.1
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.10.1
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=nl_NL.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=nl_NL.UTF-8 LC_MESSAGES=en_US.UTF-8 LC_PAPER=nl_NL.UTF-8 LC_NAME=nl_NL.UTF-8
[9] LC_ADDRESS=nl_NL.UTF-8 LC_TELEPHONE=nl_NL.UTF-8 LC_MEASUREMENT=nl_NL.UTF-8 LC_IDENTIFICATION=nl_NL.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] arrow_11.0.0.9000 dplyr_1.0.10 PatientLevelPrediction_6.2.0.9000
loaded via a namespace (and not attached):
[1] pkgload_1.3.2 bit64_4.0.5 jsonlite_1.8.4 DatabaseConnector_6.0.0 R.utils_2.12.2
[6] shiny_1.7.4 assertthat_0.2.1 highr_0.10 blob_1.2.3 remotes_2.4.2
[11] yaml_2.3.6 sessioninfo_1.2.2 pillar_1.8.1 RSQLite_2.2.18 lattice_0.20-45
[16] glue_1.6.2 reticulate_1.26 digest_0.6.31 promises_1.2.0.1 htmltools_0.5.4
[21] httpuv_1.6.8 Matrix_1.5-1 R.oo_1.25.0 clipr_0.8.0 pkgconfig_2.0.3
[26] devtools_2.4.5 purrr_1.0.1 xtable_1.8-4 processx_3.8.0 later_1.3.0
[31] ParallelLogger_3.0.1 tibble_3.1.8 styler_1.9.0 generics_0.1.3 usethis_2.1.6
[36] ellipsis_0.3.2 cachem_1.0.6 withr_2.5.0 cli_3.6.0 magrittr_2.0.3
[41] crayon_1.5.2 mime_0.12 memoise_2.0.1 evaluate_0.20 ps_1.7.2
[46] R.methodsS3_1.8.2 Andromeda_1.0.0 fs_1.5.2 fansi_1.0.3 R.cache_0.16.0
[51] pkgbuild_1.4.0 SqlRender_1.12.0 profvis_0.3.7 tools_4.2.2 data.table_1.14.4
[56] prettyunits_1.1.1 lifecycle_1.0.3 stringr_1.5.0 reprex_2.0.2 callr_3.7.3
[61] compiler_4.2.2 rlang_1.0.6 grid_4.2.2 rstudioapi_0.14 htmlwidgets_1.6.1
[66] miniUI_0.1.1.1 rmarkdown_2.19 DBI_1.1.3 R6_2.5.1 knitr_1.41
[71] fastmap_1.1.0 bit_4.0.4 utf8_1.2.2 stringi_1.7.12 rJava_1.0-6
[76] parallel_4.2.2 Rcpp_1.0.9 vctrs_0.5.1 png_0.1-7 urlchecker_1.0.1
[81] tidyselect_1.2.0 FeatureExtraction_3.2.0 xfun_0.36
Component(s)
R