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3 changes: 1 addition & 2 deletions r/R/dplyr-join.R
Original file line number Diff line number Diff line change
Expand Up @@ -116,9 +116,8 @@ semi_join.arrow_dplyr_query <- function(x,
y,
by = NULL,
copy = FALSE,
suffix = c(".x", ".y"),
...) {
do_join(x, y, by, copy, suffix, ..., join_type = "LEFT_SEMI")
do_join(x, y, by, copy, ..., join_type = "LEFT_SEMI")

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Are changes in this file necessary to make the tests pass? (Or do they have another purpose, like perhaps making this function more consistent with other arrow join implementations?)

@thisisnic thisisnic Jan 16, 2023

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It makes the API consistent with dplyr, but not necessary to make the tests pass.

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I'm ok with that change; however, I think it should be consistent for all of our join wrappers (anti, left, right, etc.). Currently they all define the suffix argument explicitly (and I think the default value of c(".x", ".y") is necessary and may result in an error if you try to semi_join overlapping columns?).

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I've removed this change as the anti_join() signature is also different to dplyr's. I don't quite understand what you mean; please can we discuss this in #33709?

}
semi_join.Dataset <- semi_join.ArrowTabular <- semi_join.RecordBatchReader <- semi_join.arrow_dplyr_query

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11 changes: 2 additions & 9 deletions r/tests/testthat/test-dplyr-join.R
Original file line number Diff line number Diff line change
Expand Up @@ -82,7 +82,7 @@ test_that("left_join with join_by", {
left_join(
to_join %>%
rename(the_grouping = some_grouping),
join_by(some_grouping == the_grouping)
join_by(some_grouping == the_grouping)

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Is this change intentional?

@thisisnic thisisnic Jan 16, 2023

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It's the consequence of running the styler.

) %>%
collect(),
left
Expand Down Expand Up @@ -240,14 +240,7 @@ test_that("full_join", {
test_that("semi_join", {
compare_dplyr_binding(
.input %>%
semi_join(to_join, by = "some_grouping", keep = TRUE) %>%
collect(),
left
)

compare_dplyr_binding(
.input %>%
semi_join(to_join, by = "some_grouping", keep = FALSE) %>%
semi_join(to_join, by = "some_grouping") %>%
collect(),
left
)
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