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Hot source lines by self-time

Source: R/hot-lines.R
pv_hot_lines.Rd

Returns the source lines where the most CPU time is spent. Requires source references (use devtools::load_all() for best results).

Usage

pv_hot_lines(x, n = NULL, min_pct = 0, min_time_ms = 0)

Arguments

x

A profvis object.

n

Maximum number of lines to return. If NULL, returns all that pass the filters.

min_pct

Minimum percentage of total time to include (default 0).

min_time_ms

Minimum time in milliseconds to include (default 0).

Value

A data frame with columns:

  • location: File path and line number (e.g., "R/foo.R:42")

  • label: Function name at this location

  • filename: Source file path

  • linenum: Line number

  • samples: Number of profiling samples

  • time_ms: Time in milliseconds

  • pct: Percentage of total time

Examples

p <- pv_example()
pv_hot_lines(p)
#>            location samples                            label       filename
#> 1 example_code.R:13      10                            rnorm example_code.R
#> 2  example_code.R:5       3                    generate_data example_code.R
#> 3 example_code.R:21       1 result[i] <- sqrt(abs(x[i])) * 2 example_code.R
#>   linenum time_ms  pct
#> 1      13      50 71.4
#> 2       5      15 21.4
#> 3      21       5  7.1

# Only lines with >= 10% of time
pv_hot_lines(p, min_pct = 10)
#>            location samples         label       filename linenum time_ms  pct
#> 1 example_code.R:13      10         rnorm example_code.R      13      50 71.4
#> 2  example_code.R:5       3 generate_data example_code.R       5      15 21.4