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Integer64 columns not assigned NA when doing a left merge #1459

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abielr opened this issue Dec 4, 2015 · 5 comments · Fixed by #3724
Closed
2 tasks done

Integer64 columns not assigned NA when doing a left merge #1459

abielr opened this issue Dec 4, 2015 · 5 comments · Fixed by #3724
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@abielr
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abielr commented Dec 4, 2015

Handle NA integer64 properly in:

  • merge
  • rbindlist (following @jangorecki's comment below)
require(data.table)
require(bit64)
x1 <- data.table(id=1, value=as.integer64(1))
x2 <- data.table(id=c(1,2))
merge(x2, x1, by="id", all.x=T)

Yields

#    id               value
#1:  1                   1
#2:  2 9218868437227407266

This is with data.table 1.9.6.

@dlithio
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dlithio commented Dec 4, 2015

I think this is a duplicate.

@arunsrinivasan
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Thanks for linking to the old issue @dlithio. Maybe we can fix it internally..

@jangorecki
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jangorecki commented Apr 23, 2016

The same happens when rbindlist(fill=TRUE). This probably can be fixed in the same place as merge so I'm not creating new issue for that, let me know if you want separate one for rbindlist fill.

library(data.table)
library(bit64)
rbindlist(list(
    data.table(a=1:2, b=as.integer64(c(1,NA))),
    data.table(a=3L)
), fill=TRUE)
#   a                   b
#1: 1                   1
#2: 2                  NA
#3: 3 9218868437227407266

@arunsrinivasan arunsrinivasan added this to the v1.9.8 milestone Jul 21, 2016
@arunsrinivasan arunsrinivasan self-assigned this Jul 21, 2016
@arunsrinivasan arunsrinivasan modified the milestones: v2.0.0, v1.9.8 Jul 25, 2016
@andrewkho
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andrewkho commented Oct 2, 2017

I'm not sure if I should create a new issue for this, but I am having this problem when using the := operator, but not when using merge.

> packageVersion("data.table")
[1] ‘1.10.4’
> packageVersion("bit64")
[1] ‘0.9.7’
> dt1 <- data.table(id=c(1,2), x=bit64::as.integer64(c(100,200)))
> dt2 <- data.table(id=c(1,3))
> dt1
   id   x
1:  1 100
2:  2 200
> dt2
   id
1:  1
2:  3
> merge(dt1,dt2, all=T)
   id   x
1:  1 100
2:  2 200
3:  3  NA
> dt2[J(dt1), x := i.x, on=.(id)]
> dt2
   id                   x
1:  1                 100
2:  3 9218868437227407266

Update: I guess this is the expected behaviour:

> merge(dt1, dt2, all.y = T)
   id   x
1:  1 100
2:  3  NA

I have a lot of code using the := method, and I'm not sure if it's feasible to switch everything to use merge instead

@MichaelChirico
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MichaelChirico commented Oct 3, 2017 via email

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7 participants