|>). This can be used to check performance of steps in your data workflow.time_pipe.RdTime operations in a pipeline
Measure how long a data operation or function takes within a pipeline (|>).
This can be used to check performance of steps in your data workflow.
time_pipe(
.data,
label = NULL,
log_file = NULL,
console = TRUE,
time_unit = c("secs", "millisecs", "mins", "hours")
)A data object to pass through the pipeline.
Optional. A descriptive name for the operation. If not provided, the expression will be passed.
Optional. File path to write timing logs. If NULL, messages are only printed to the console.
Logical. Whether to print timing messages to the console. Default is TRUE.
Character. Unit of time to report. One of "secs", "millisecs", "mins" or "hours".
Returns the result of the pipeline step, unchanged. Timing messages are printed or logged separately.
library(dplyr)
#>
#> Attaching package: ‘dplyr’
#> The following objects are masked from ‘package:stats’:
#>
#> filter, lag
#> The following objects are masked from ‘package:base’:
#>
#> intersect, setdiff, setequal, union
data.frame(x = 1:3) |>
mutate(y = {Sys.sleep(0.5); x*2 }) |>
time_pipe("calc 1") |>
mutate(z = {Sys.sleep(0.5); x/2 }) |>
time_pipe("total pipeline")
#> [2025-08-15 15:12:27.719] calc 1: 0.5062 secs
#> [2025-08-15 15:12:27.719] total pipeline: 1.0103 secs
#> x y z
#> 1 1 2 0.5
#> 2 2 4 1.0
#> 3 3 6 1.5