Details
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Improvement
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Status: Resolved
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Minor
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Resolution: Fixed
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None
Description
I am trying to see if I can leverage `unique` on a Dataset object. Imagining a much big dataset, I am trying to get away from this expensive pattern:
Dataset %>% pull(col) %>% unique()
However when I try the option below it is not working quite how I'd expect. I'm actually not able to get any working (e.g. `arrow_mean`) so maybe I am misunderstanding how these are meant to work.
library(arrow, warn.conflicts = FALSE) library(dplyr, warn.conflicts = FALSE) dir.create("iris") iris %>% group_by(Species) %>% write_dataset("iris") ds <- open_dataset("iris") ds %>% mutate(unique = arrow_unique(Species)) %>% collect() #> Error: Invalid: ExecuteScalarExpression cannot Execute non-scalar expression unique("setosa") ds %>% mutate(unique = arrow_unique(Petal.Width)) %>% collect() #> Error: Invalid: ExecuteScalarExpression cannot Execute non-scalar expression {Sepal.Length=Sepal.Length, Sepal.Width=Sepal.Width, Petal.Length=Petal.Length, Petal.Width=Petal.Width, Species="setosa", unique=unique(Petal.Width)} call_function("unique", ds, "Species") #> Error: Argument 1 is of class FileSystemDataset but it must be one of "Array", "ChunkedArray", "RecordBatch", "Table", or "Scalar" call_function("unique", ds, "Petal.Width") #> Error: Argument 1 is of class FileSystemDataset but it must be one of "Array", "ChunkedArray", "RecordBatch", "Table", or "Scalar" call_function("mean", ds, "Petal.Width") #> Error: Argument 1 is of class FileSystemDataset but it must be one of "Array", "ChunkedArray", "RecordBatch", "Table", or "Scalar" sessioninfo::session_info() #> - Session info --------------------------------------------------------------- #> setting value #> version R version 4.0.5 (2021-03-31) #> os Windows 10 x64 #> system x86_64, mingw32 #> ui RTerm #> language (EN) #> collate English_Canada.1252 #> ctype English_Canada.1252 #> tz America/Los_Angeles #> date 2021-05-07 #> #> - Packages ------------------------------------------------------------------- #> package * version date lib source #> arrow * 4.0.0 2021-04-27 [1] CRAN (R 4.0.5) #> assertthat 0.2.1 2019-03-21 [1] CRAN (R 4.0.0) #> backports 1.2.1 2020-12-09 [1] CRAN (R 4.0.3) #> bit 4.0.4 2020-08-04 [1] CRAN (R 4.0.2) #> bit64 4.0.5 2020-08-30 [1] CRAN (R 4.0.2) #> cli 2.5.0 2021-04-26 [1] CRAN (R 4.0.5) #> crayon 1.4.1 2021-02-08 [1] CRAN (R 4.0.3) #> DBI 1.1.1 2021-01-15 [1] CRAN (R 4.0.3) #> digest 0.6.27 2020-10-24 [1] CRAN (R 4.0.3) #> dplyr * 1.0.5 2021-03-05 [1] CRAN (R 4.0.5) #> ellipsis 0.3.2 2021-04-29 [1] CRAN (R 4.0.5) #> evaluate 0.14 2019-05-28 [1] CRAN (R 4.0.0) #> fansi 0.4.2 2021-01-15 [1] CRAN (R 4.0.3) #> fs 1.5.0 2020-07-31 [1] CRAN (R 4.0.2) #> generics 0.1.0 2020-10-31 [1] CRAN (R 4.0.3) #> glue 1.4.2 2020-08-27 [1] CRAN (R 4.0.2) #> highr 0.9 2021-04-16 [1] CRAN (R 4.0.4) #> htmltools 0.5.1.1 2021-01-22 [1] CRAN (R 4.0.3) #> knitr 1.33 2021-04-24 [1] CRAN (R 4.0.5) #> lifecycle 1.0.0 2021-02-15 [1] CRAN (R 4.0.4) #> magrittr 2.0.1 2020-11-17 [1] CRAN (R 4.0.3) #> pillar 1.6.0 2021-04-13 [1] CRAN (R 4.0.5) #> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.0.0) #> purrr 0.3.4 2020-04-17 [1] CRAN (R 4.0.0) #> R.cache 0.15.0 2021-04-30 [1] CRAN (R 4.0.5) #> R.methodsS3 1.8.1 2020-08-26 [1] CRAN (R 4.0.2) #> R.oo 1.24.0 2020-08-26 [1] CRAN (R 4.0.2) #> R.utils 2.10.1 2020-08-26 [1] CRAN (R 4.0.2) #> R6 2.5.0 2020-10-28 [1] CRAN (R 4.0.3) #> reprex 2.0.0 2021-04-02 [1] CRAN (R 4.0.5) #> rlang 0.4.10 2020-12-30 [1] CRAN (R 4.0.3) #> rmarkdown 2.7 2021-02-19 [1] CRAN (R 4.0.4) #> sessioninfo 1.1.1 2018-11-05 [1] CRAN (R 4.0.0) #> stringi 1.5.3 2020-09-09 [1] CRAN (R 4.0.2) #> stringr 1.4.0 2019-02-10 [1] CRAN (R 4.0.2) #> styler 1.4.1 2021-03-30 [1] CRAN (R 4.0.4) #> tibble 3.1.1 2021-04-18 [1] CRAN (R 4.1.0) #> tidyselect 1.1.1 2021-04-30 [1] CRAN (R 4.0.5) #> utf8 1.2.1 2021-03-12 [1] CRAN (R 4.0.5) #> vctrs 0.3.8 2021-04-29 [1] CRAN (R 4.0.5) #> withr 2.4.2 2021-04-18 [1] CRAN (R 4.0.4) #> xfun 0.22 2021-03-11 [1] CRAN (R 4.0.4) #> yaml 2.2.1 2020-02-01 [1] CRAN (R 4.0.0) #> #> [1] C:/Users/salbers/R/win-library/4.0 #> [2] C:/Program Files/R/R-4.0.5/library
I am opening this a) because others may have run into the same issue and b) just in case this is actually a bug. Feel free to close immediately if this isn't the way these are supposed to work.
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