Details
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Bug
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Status: Resolved
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Minor
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Resolution: Fixed
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2.0.0
Description
Filtering while using the `.data` pronoun does not work properly on arrow datasets - presumably because `.data` is meaningful for something else in arrow? `.data` doesn't always need to be used when using dplyr verbs interactively, but it is pretty much a requirement when writing packages that use the verbs, to avoid an R CMD check note.
Curious on thoughts/workarounds for this! Thank you!
library(dplyr) library(arrow) # Filtering using .data pronoun works on regular objects mtcars %>% filter(.data$cyl == 6) #> mpg cyl disp hp drat wt qsec vs am gear carb #> Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 #> Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 #> Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 #> Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 #> Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 #> Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 #> Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 # But it does not seem to on arrow data sets tmp <- tempfile() write_dataset(mtcars, tmp, format = "parquet") mtcars_arrow <- open_dataset(tmp) # Filtering works fine without the pronoun mtcars_arrow %>% filter(cyl == 6) %>% collect() #> mpg cyl disp hp drat wt qsec vs am gear carb #> 1 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 #> 2 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 #> 3 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 #> 4 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 #> 5 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 #> 6 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 #> 7 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 # Using the .data pronoun, does not return any data mtcars_arrow %>% filter(.data$cyl == 6) %>% collect() #> [1] mpg cyl disp hp drat wt qsec vs am gear carb #> <0 rows> (or 0-length row.names)
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