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I have asked on SO for an explanation of this inconsistent behaviour. @franknarf1 has replied that this might be a bug which could be related to #1989.
Depending on the "direction" or "type" of join, using j = .SD throws an error:
j = .SD
library(data.table) (d1 <- fread("a,b\n1,11\n6,16")) # a b # 1: 1 11 # 2: 6 16 (d2 <- data.table(r = 1:5, s = seq(0, 20, 5))) # r s # 1: 1 0 # 2: 2 5 # 3: 3 10 # 4: 4 15 # 5: 5 20 # case A d1[d2, on = .(a <= s, b >= s)] # a b r # 1: 0 0 1 # 2: 5 5 2 # 3: 10 10 3 # 4: 10 10 3 # 5: 15 15 4 # 6: 20 20 5 d1[d2, on = .(a <= s, b >= s), j = .SD] # Error in [.data.table(d1, d2, on = .(a <= s, b >= s), j = .SD) : # column(s) not found: a # case B d2[d1, on = .(s >= a, s <= b)] # r s s.1 # 1: 2 1 11 # 2: 3 1 11 # 3: 3 6 16 # 4: 4 6 16 d2[d1, on = .(s >= a, s <= b), j = .SD] # r s # 1: 2 1 # 2: 3 1 # 3: 3 6 # 4: 4 6
I have reproduced this behaviour with R version 3.6.0 and data.table versions 1.11.8, 1.12.2, and 1.12.3 on
Platform: x86_64-pc-linux-gnu (64-bit) Running under: Ubuntu 16.04.5 LTS
and with R version 3.6.0 and data.table version 1.12.3 on
Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 10 x64 (build 17763)
The text was updated successfully, but these errors were encountered:
Fix for ‘column not found’ error in certain non-equi joins
08dab5b
#3635 fix
arunsrinivasan
Successfully merging a pull request may close this issue.
I have asked on SO for an explanation of this inconsistent behaviour. @franknarf1 has replied that this might be a bug which could be related to #1989.
Depending on the "direction" or "type" of join, using
j = .SD
throws an error:I have reproduced this behaviour with R version 3.6.0 and data.table versions 1.11.8, 1.12.2, and 1.12.3 on
and with R version 3.6.0 and data.table version 1.12.3 on
The text was updated successfully, but these errors were encountered: