bench-show

Generate text reports and graphical charts from the benchmark results generated by gauge or criterion and stored in a CSV file. This tool is especially useful when you have many benchmarks or if you want to compare benchmarks across multiple packages. You can generate many interesting reports including:

• Show individual reports for all the fields measured e.g. time taken, peak memory usage, allocations, among many other fields measured by gauge
• Sort benchmark results on a specified criterion e.g. you may want to see the biggest cpu hoggers or biggest memory hoggers on top
• Across two benchmark runs (e.g. before and after a change), show all the operations that resulted in a regression of more than x% in descending order, so that we can quickly identify and fix performance problems in our application.
• Across two (or more) packages providing similar functionality, show all the operations where the performance differs by more than 10%, so that we can critically analyze the packages and choose the right one.

Quick Start

Use gauge or criterion to generate a results.csv file, and then use either the bench-show executable or the library APIs to generate textual or graphical reports.

Executable

Use bench-show executable with report and graph sub-commands:

$ bench-show report results.csv
$ bench-show graph results.csv output

For advanced usage, control the generated report by the CLI flags.

Library

Use report and graph library functions:

report "results.csv"  Nothing defaultConfig
graph  "results.csv" "output" defaultConfig

For advanced usage, control the generated report by modifying the defaultConfig.

Reports and Charts

report with Fields presentation style generates a multi-column report. We can select many fields from a gauge raw report. Units of the fields are automatically determined based on the range of values:

$ bench-show --presentation Fields report results.csv

report "results.csv" Nothing defaultConfig { presentation = Fields }

Benchmark     time(μs) maxrss(MiB)
------------- -------- -----------
vector/fold     641.62        2.75
streamly/fold   639.96        2.75
vector/map      638.89        2.72
streamly/map    653.36        2.66
vector/zip      651.42        2.58
streamly/zip    644.33        2.59

graph generates one bar chart per field:

$ bench-show --presentation Fields graph results.csv

graph "results.csv" "output" defaultConfig

When the input file contains results from a single benchmark run, by default all the benchmarks are placed in a single benchmark group named “default”.

Grouping

Let’s write a benchmark classifier to put the streamly and vector benchmarks in their own groups:

   classifier name =
       case splitOn "/" name of
           grp : bench -> Just (grp, concat bench)
           _          -> Nothing

Now we can show the two benchmark groups as separate columns. We can generate reports comparing different benchmark fields (e.g. time and maxrss) for all the groups:

   report "results.csv" Nothing
     defaultConfig { classifyBenchmark = classifier }

(time)(Median)
Benchmark streamly(μs) vector(μs)
--------- ------------ ----------
fold            639.96     641.62
map             653.36     638.89
zip             644.33     651.42

We can do the same graphically as well, just replace report with graph in the code above. Each group is placed as a cluster on the graph. Multiple clusters are placed side by side (i.e. on the same scale) for easy comparison. For example:

Regression, Percentage Difference and Sorting

We can append benchmarks results from multiple runs to the same file. These runs can then be compared. We can run benchmarks before and after a change and then report the regressions by percentage change in a sorted order:

Given a results file with two runs, this code generates the report that follows:

   report "results.csv" Nothing
     defaultConfig
         { classifyBenchmark = classifier
         , presentation = Groups PercentDiff
         , selectBenchmarks = \f ->
              reverse
              $ map fst
              $ sortBy (comparing snd)
              $ either error id $ f $ ColumnIndex 1
         }

(time)(Median)(Diff using min estimator)
Benchmark streamly(0)(μs)(base) streamly(1)(%)(-base)
--------- --------------------- ---------------------
zip                      644.33                +23.28
map                      653.36                 +7.65
fold                     639.96                -15.63

It tells us that in the second run the worst affected benchmark is zip taking 23.28 percent more time compared to the baseline.

Graphically:

Full Documentation and examples

• See the haddock documentation on Hackage
• See the comprehensive tutorial module in the haddock docs
• For examples see the test directory in the package

Contributions and Feedback

Contributions are welcome! Please see the TODO.md file or the existing issues if you want to pick up something to work on.

Any feedback on improvements or the direction of the package is welcome. You can always send an email to the maintainer or raise an issue for anything you want to suggest or discuss, or send a PR for any change that you would like to make.