Comments (2)
romainfrancois
commented on May 22, 2024
inner_join
microbenchmark(
dplyr = inner_join(batting_df, person_df),
internal = inner_join_impl(batting_df, person_df)
)
Unit: milliseconds
expr min lq median uq max neval
dplyr 608.28119 677.57321 740.09152 758.02746 1079.6772 100
internal 59.50714 60.34692 61.42959 64.52863 145.7606 100
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romainfrancois
commented on May 22, 2024
And left_join
microbenchmark(
dplyr = left_join(batting_df, person_df),
internal = left_join_impl(batting_df, person_df)
)
Unit: milliseconds
expr min lq median uq max neval
dplyr 700.47059 733.52926 797.54442 810.30913 872.3305 100
internal 51.74547 52.41426 52.82042 56.73652 140.0787 100
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Related Issues (20)
- Unexpected behavior in summarize() HOT 4
- join_by() get_bys error HOT 1
- Add param to left_join to set value when does not exists match HOT 2
- R: group_by() column1 and perform rle() on column2 HOT 4
- Ascendant order explicit function for arrange HOT 2
- `summarise()` breaks when using `across()` with name collisions HOT 2
- Internal: slightly inaccurate `as_join_by()` implementation for character HOT 8
- Allow tidyselect operators inside `distinct()` HOT 4
- dplyr 1.1.4 breaks on empty dataframes constructed from matrices HOT 1
- `join_by()` allowing OR HOT 1
- Clarity of "duplicated" error message in `rename_with()`
- Negated named variables used in `across()` can't be used with `.by` argument in `mutate()`/`summarise()` etc. HOT 1
- A very strange error in an edge case
- Allow .by=row_number() in mutate statements HOT 1
- Relocate multiple columns in a pairwise fashion HOT 2
- Feature Request: Add `continuous` parameter to `slice()` or new `slice_continuous()` HOT 1
- bind_rows unexpectedly renames columns
- Deprecation of one of dplyr features in package "ncappc" HOT 3
- c_across() docs imply a dependency on rowwise()
- Variable scoping issue with .data inside lambda Ffunction used in across() HOT 2
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