join on: d1.a IS NULL OR d1.a = d2.a
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 45/100
Research direction
Start by reading data.table's existing join documentation and examining how d1[d2] handles NA values and multiple join conditions. Use the supplied d1 and d2 example as a behavioral test case, and compare the result with the shown DuckDB query. Done means a documented, tested way to express the requested NULL-or-equal join semantics.
Written by the indexing model from the issue text.
Description
There does not seem to be easy way to perform join on conditions like those. We are therefore forced to use duckdb. It would be nice to provide data.table functionality to cover use cases like that.
library(data.table)
d1 = data.table(a = c(1:2,NA,4L), b = c(NA,2:4), x = 1:4)
d2 = data.table(a = c(1L,NA,3:4), b = c(1L,NA,3:4), y = 1:4)
# d1[d2] ??
## duckdb way
conn = duckdb::dbConnect(duckdb::duckdb(), dbdir = ":memory:")
duckdb::duckdb_register(conn, name = "d1", df = d1)
duckdb::duckdb_register(conn, name = "d2", df = d2)
ans = DBI::dbGetQuery(
conn,
"SELECT *
FROM d1
LEFT JOIN d2 ON (
(d1.a IS NULL OR d1.a = d2.a)
AND
(d1.b IS NULL OR d1.b = d2.b)
)")
ans
# a b x a b y
#1 1 NA 1 1 1 1
#2 NA 3 3 3 3 3
#3 4 4 4 4 4 4
#4 2 2 2 NA NA NA
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