.NATURAL join fails to re-use index
@aam936 is already working on this.
Since Apr 7, 2026.
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Description
DT = data.table(a=1)
setindex(DT, a)
l = list(a = 1)
DT[l, on=.NATURAL, verbose=TRUE]
Has output:
Joining but 'x' has no key, natural join using all 'x' columnsi.a has same type (double) as x.a. No coercion needed.
on= matches existing index, using index
Starting bmerge ...
forder.c received 1 rows and 1 columns
forderReuseSorting: opt=-1, took 0.000s
bmerge: looping bmerge_r took 0.000s
bmerge: took 0.000s
bmerge done in 0.000s elapsed (0.000s cpu)
Constructing irows for '!byjoin || nqbyjoin' ... 0.000s elapsed (0.000s cpu)
a
<num>
1: 1
A simple change gets us the more efficient join, we shouldn't have to do this:
DT[l, on=names(l), verbose=TRUE]
i.a has same type (double) as x.a. No coercion needed.
on= matches existing index, using index
Starting bmerge ...
forder.c received 1 rows and 1 columns
forderReuseSorting: opt=-1, took 0.000s
bmerge: looping bmerge_r took 0.000s
bmerge: took 0.000s
bmerge done in 0.001s elapsed (0.000s cpu)
Constructing irows for '!byjoin || nqbyjoin' ... 0.000s elapsed (0.000s cpu)
a
<num>
1: 1
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