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Join columns mislabelled #137
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an unexpected problem or unintended behavior
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Minimal reprex: library(data.table)
library(dtplyr)
library(dplyr, warn.conflicts = FALSE)
x1 <- lazy_dt(data.table(x_left = 1:3, y = 1))
x2 <- lazy_dt(data.table(x_right = 2:4, z = 2))
left_join(x1, x2, by = c("x_left" = "x_right"))
#> Source: local data table [?? x 4]
#> Call: `_DT2`[`_DT1`, on = .(x_right = x_left), allow.cartesian = TRUE]
#>
#> x_right z y
#> <int> <dbl> <dbl>
#> 1 1 NA 1
#> 2 2 2 1
#> 3 3 2 1
#>
#> # Use as.data.table()/as.data.frame()/as_tibble() to access results Created on 2019-12-24 by the reprex package (v0.3.0) I don't think that you're getting a right join (because if that was the case you'd expect |
hadley
added
bug
an unexpected problem or unintended behavior
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reprex
needs a minimal reproducible example
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Dec 24, 2019
hadley
changed the title
Left join returns the result of right join
Join columns mislabelled
Dec 24, 2019
@hadley Thanks for correcting my question and fixing this bug :) |
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Thanks for making this nice tool firstly. I got an error when I tried to rewrite code with
dtplyr
. I debugged the code and found theleft_join()
returns the result of right join and vice versa.Join result
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