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Hot call paths

Source: R/hot-paths.R
pv_hot_paths.Rd

Returns the most common complete call stacks. This shows which execution paths through the code consume the most time.

Usage

pv_hot_paths(x, n = NULL, include_source = TRUE)

Arguments

x

A profvis object.

n

Maximum number of paths to return. If NULL, returns all.

include_source

If TRUE and source references are available, include file:line information in the path labels.

Value

A data frame with columns:

  • stack: The call path (functions separated by arrows)

  • samples: Number of profiling samples with this exact path

  • time_ms: Time in milliseconds

  • pct: Percentage of total time

Examples

p <- pv_example()
pv_hot_paths(p)
#>                                                                                                       stack
#> 1                             process_data -> generate_data (example_code.R:5) -> rnorm (example_code.R:13)
#> 2                  process_data -> generate_data (example_code.R:5) -> x[i] <- rnorm(1) (example_code.R:13)
#> 3                                                          process_data -> generate_data (example_code.R:5)
#> 4 process_data -> transform_data (example_code.R:6) -> result[i] <- sqrt(abs(x[i])) * 2 (example_code.R:21)
#>   samples time_ms  pct
#> 1       6      30 42.9
#> 2       4      20 28.6
#> 3       3      15 21.4
#> 4       1       5  7.1