Benchmarks

Using tidylog adds a small overhead to each function call. For instance, because tidylog needs to figure out how many rows were dropped when you use tidylog::filter, this call will be a bit slower than using dplyr::filter directly. The overhead is usually not noticeable, but can be for larger datasets, especially when using joins. The benchmarks below give some impression of how large the overhead is.

library("dplyr")
library("tidylog", warn.conflicts = FALSE)
library("bench")
library("knitr")

filter

On a small dataset:

bench::mark(
    dplyr::filter(mtcars, cyl == 4),
    tidylog::filter(mtcars, cyl == 4), iterations = 100
) %>%
    dplyr::select(expression, min, median, n_itr) %>%
    kable()
expression min median n_itr
dplyr::filter(mtcars, cyl == 4) 449.55µs 489.7µs 98
tidylog::filter(mtcars, cyl == 4) 1.36ms 1.4ms 96

On a larger dataset:

df <- tibble(x = rnorm(100000))

bench::mark(
    dplyr::filter(df, x > 0),
    tidylog::filter(df, x > 0), iterations = 100
) %>%
    dplyr::select(expression, min, median, n_itr) %>%
    kable()
expression min median n_itr
dplyr::filter(df, x > 0) 1.08ms 1.15ms 96
tidylog::filter(df, x > 0) 2.06ms 2.19ms 96

mutate

On a small dataset:

bench::mark(
    dplyr::mutate(mtcars, cyl = as.factor(cyl)),
    tidylog::mutate(mtcars, cyl = as.factor(cyl)), iterations = 100
) %>%
    dplyr::select(expression, min, median, n_itr) %>%
    kable()
expression min median n_itr
dplyr::mutate(mtcars, cyl = as.factor(cyl)) 590.8µs 670.5µs 98
tidylog::mutate(mtcars, cyl = as.factor(cyl)) 1.66ms 1.74ms 94

On a larger dataset:

df <- tibble(x = round(runif(10000) * 10))

bench::mark(
    dplyr::mutate(df, x = as.factor(x)),
    tidylog::mutate(df, x = as.factor(x)), iterations = 100
) %>%
    dplyr::select(expression, min, median, n_itr) %>%
    kable()
expression min median n_itr
dplyr::mutate(df, x = as.factor(x)) 4.13ms 4.21ms 98
tidylog::mutate(df, x = as.factor(x)) 5.19ms 5.3ms 95

joins

Joins are the most expensive operation, as tidylog has to do two additional joins behind the scenes.

On a small dataset:

bench::mark(
    dplyr::inner_join(band_members, band_instruments, by = "name"),
    tidylog::inner_join(band_members, band_instruments, by = "name"), iterations = 100
) %>%
    dplyr::select(expression, min, median, n_itr) %>%
    kable()
expression min median n_itr
dplyr::inner_join(band_members, band_instruments, by = “name”) 861.01µs 915.1µs 96
tidylog::inner_join(band_members, band_instruments, by = “name”) 5.82ms 5.92ms 78

On a larger dataset (with many row duplications):

N <- 1000
df1 <- tibble(x1 = rnorm(N), key = round(runif(N) * 10))
df2 <- tibble(x2 = rnorm(N), key = round(runif(N) * 10))

bench::mark(
    dplyr::inner_join(df1, df2, by = "key"),
    tidylog::inner_join(df1, df2, by = "key"), iterations = 100
) %>%
    dplyr::select(expression, min, median, n_itr) %>%
    kable()
#> Warning in dplyr::inner_join(df1, df2, by = "key"): Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> Detected an unexpected many-to-many relationship between `x` and `y`.
#> ℹ Row 1 of `x` matches multiple rows in `y`.
#> ℹ Row 8 of `y` matches multiple rows in `x`.
#> ℹ If a many-to-many relationship is expected, set `relationship =
#>   "many-to-many"` to silence this warning.
expression min median n_itr
dplyr::inner_join(df1, df2, by = “key”) 9.83ms 11.07ms 76
tidylog::inner_join(df1, df2, by = “key”) 7.23ms 7.65ms 90