Comments (2)
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
from dplyr.
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
from dplyr.
Related Issues (20)
- Document minus operator in tidy-select and select HOT 3
- case_when inserting NAs instead of new assigned values despite all levels are included HOT 3
- .onLoad setting options
- Inconsistency in Results Using sum(. != 3) within Pipeline Operations (%>%) dplyr version 1.1.4 HOT 4
- `rowwise()` and empty input
- Feature/Function Request: `is_equal` HOT 3
- Error in across HOT 2
- group_split(): add a '.groups_to_names=T' type argument HOT 2
- `group_split()` not shown on the reference page
- Modify how arrange sorts strings HOT 3
- Should `desc()` use `vec_rank()` internally on character vectors?
- Problem Group_by
- `dplyr_reconstruct` can create data.table with corrupted secondary index HOT 1
- Split `join_cols()`
- Error in the function 'across()' HOT 3
- Documentation error for count HOT 4
- `if_else` `missing` argument does not work when using `%in%` to evaluate. HOT 3
- Add a Ranking Function to Compute Tail Means HOT 1
- across(), but over two sets of vector
- filter may crash RStudio Session when combining rbind and rowwise HOT 3
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from dplyr.