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Generate optimization suggestions

Source: R/suggestions.R
pv_suggestions.Rd

Analyzes the profile and generates specific, actionable optimization suggestions based on detected patterns and hotspots.

Usage

pv_suggestions(x)

Arguments

x

A profvis object.

Value

A data frame with columns:

  • priority: 1 (highest) to 5 (lowest)

  • category: Type of optimization (e.g., "data structure", "algorithm")

  • location: Where to apply the optimization

  • action: What to do

  • pattern: Code pattern to look for (or NA)

  • replacement: Suggested replacement (or NA)

  • potential_impact: Estimated time that could be saved

Examples

p <- pv_example("gc")
pv_suggestions(p)
#>   priority     category                   location
#> 1        1     hot line                 R/work.R:5
#> 2        2       memory memory allocation hotspots
#> 3        2 hot function                       work
#>                                   action                             pattern
#> 1              Optimize hot line (60.0%)                                work
#> 2               Reduce memory allocation c(x, new), rbind(), growing vectors
#> 3 Profile in isolation (60.0% self-time)                                work
#>                  replacement  potential_impact
#> 1                       <NA>     60 ms (60.0%)
#> 2 pre-allocate to final size Up to 20 ms (20%)
#> 3                       <NA>     60 ms (60.0%)