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lib/benchee/configuration.ex
defmodule Benchee.Configuration do
@moduledoc """
Functions to handle the configuration of Benchee, exposes `init/1` function.
"""
alias Benchee.{
Suite,
Configuration,
Conversion.Duration,
Conversion.Scale,
Utility.DeepConvert,
Formatters.Console
}
defstruct [
parallel: 1,
time: 5,
warmup: 2,
formatters: [Console],
print: %{
benchmarking: true,
configuration: true,
fast_warning: true
},
inputs: nil,
# formatters should end up here but known once are still picked up at
# the top level for now
formatter_options: %{
console: %{
comparison: true
}
},
unit_scaling: :best,
# If you/your plugin/whatever needs it your data can go here
assigns: %{},
before_each: nil,
after_each: nil,
before_scenario: nil,
after_scenario: nil
]
@type t :: %__MODULE__{
parallel: integer,
time: number,
warmup: number,
formatters: [((Suite.t) -> Suite.t)],
print: map,
inputs: %{Suite.key => any} | nil,
formatter_options: map,
unit_scaling: Scale.scaling_strategy,
assigns: map,
before_each: fun | nil,
after_each: fun | nil,
before_scenario: fun | nil,
after_scenario: fun | nil
}
@type user_configuration :: map | keyword
@time_keys [:time, :warmup]
@doc """
Returns the initial benchmark configuration for Benchee, composed of defaults
and an optional custom configuration.
Configuration times are given in seconds, but are converted to microseconds
internally.
Possible options:
* `time` - total run time in seconds of a single benchmark (determines
how often it is executed). Defaults to 5.
* `warmup` - the time in seconds for which the benchmarking function
should be run without gathering results. Defaults to 2.
* `inputs` - a map from descriptive input names to some different input,
your benchmarking jobs will then be run with each of these inputs. For this
to work your benchmarking function gets the current input passed in as an
argument into the function. Defaults to `nil`, aka no input specified and
functions are called without an argument.
* `parallel` - each the function of each job will be executed in
`parallel` number processes. If `parallel` is `4` then 4 processes will be
spawned that all execute the _same_ function for the given time. When these
finish/the time is up 4 new processes will be spawned for the next
job/function. This gives you more data in the same time, but also puts a
load on the system interfering with benchmark results. For more on the pros
and cons of parallel benchmarking [check the
wiki](https://github.com/PragTob/benchee/wiki/Parallel-Benchmarking).
Defaults to 1 (no parallel execution).
* `formatters` - list of formatters either as module implementing the
formatter behaviour or formatter functions. They are run when using
`Benchee.run/2`. Functions need to accept one argument (which is the
benchmarking suite with all data) and then use that to produce output. Used
for plugins. Defaults to the builtin console formatter
Benchee.Formatters.Console`. See [Formatters](#formatters).
* `print` - a map from atoms to `true` or `false` to configure if the
output identified by the atom will be printed. All options are enabled by
default (true). Options are:
* `:benchmarking` - print when Benchee starts benchmarking a new job
(Benchmarking name ..)
* `:configuration` - a summary of configured benchmarking options
including estimated total run time is printed before benchmarking starts
* `:fast_warning` - warnings are displayed if functions are executed
too fast leading to inaccurate measures
* `console` - options for the built-in console formatter. Like the
`print` options the boolean options are also enabled by default:
* `:comparison` - if the comparison of the different benchmarking jobs
(x times slower than) is shown (true/false)
* `:unit_scaling` - the strategy for choosing a unit for durations and
counts. May or may not be implemented by a given formatter (The console
formatter implements it). When scaling a value, Benchee finds the "best fit"
unit (the largest unit for which the result is at least 1). For example,
1_200_000 scales to `1.2 M`, while `800_000` scales to `800 K`. The
`unit_scaling` strategy determines how Benchee chooses the best fit unit for
an entire list of values, when the individual values in the list may have
different best fit units. There are four strategies, defaulting to `:best`:
* `:best` - the most frequent best fit unit will be used, a tie
will result in the larger unit being selected.
* `:largest` - the largest best fit unit will be used (i.e. thousand
and seconds if values are large enough).
* `:smallest` - the smallest best fit unit will be used (i.e.
millisecond and one)
* `:none` - no unit scaling will occur. Durations will be displayed
in microseconds, and counts will be displayed in ones (this is
equivalent to the behaviour Benchee had pre 0.5.0)
* `:before_scenario`/`after_scenario`/`before_each`/`after_each` - read up on them in the hooks section in the README
## Examples
iex> Benchee.init
%Benchee.Suite{
configuration:
%Benchee.Configuration{
parallel: 1,
time: 5_000_000,
warmup: 2_000_000,
inputs: nil,
formatters: [Benchee.Formatters.Console],
print: %{
benchmarking: true,
fast_warning: true,
configuration: true
},
formatter_options: %{
console: %{comparison: true}
},
unit_scaling: :best,
assigns: %{},
before_each: nil,
after_each: nil,
before_scenario: nil,
after_scenario: nil
},
system: nil,
scenarios: []
}
iex> Benchee.init time: 1, warmup: 0.2
%Benchee.Suite{
configuration:
%Benchee.Configuration{
parallel: 1,
time: 1_000_000,
warmup: 200_000.0,
inputs: nil,
formatters: [Benchee.Formatters.Console],
print: %{
benchmarking: true,
fast_warning: true,
configuration: true
},
formatter_options: %{
console: %{comparison: true}
},
unit_scaling: :best,
assigns: %{},
before_each: nil,
after_each: nil,
before_scenario: nil,
after_scenario: nil
},
system: nil,
scenarios: []
}
iex> Benchee.init %{time: 1, warmup: 0.2}
%Benchee.Suite{
configuration:
%Benchee.Configuration{
parallel: 1,
time: 1_000_000,
warmup: 200_000.0,
inputs: nil,
formatters: [Benchee.Formatters.Console],
print: %{
benchmarking: true,
fast_warning: true,
configuration: true
},
formatter_options: %{
console: %{comparison: true}
},
unit_scaling: :best,
assigns: %{},
before_each: nil,
after_each: nil,
before_scenario: nil,
after_scenario: nil
},
system: nil,
scenarios: []
}
iex> Benchee.init(
...> parallel: 2,
...> time: 1,
...> warmup: 0.2,
...> formatters: [&IO.puts/2],
...> print: [fast_warning: false],
...> console: [comparison: false],
...> inputs: %{"Small" => 5, "Big" => 9999},
...> formatter_options: [some: "option"],
...> unit_scaling: :smallest)
%Benchee.Suite{
configuration:
%Benchee.Configuration{
parallel: 2,
time: 1_000_000,
warmup: 200_000.0,
inputs: %{"Small" => 5, "Big" => 9999},
formatters: [&IO.puts/2],
print: %{
benchmarking: true,
fast_warning: false,
configuration: true
},
formatter_options: %{
console: %{comparison: false},
some: "option"
},
unit_scaling: :smallest,
assigns: %{},
before_each: nil,
after_each: nil,
before_scenario: nil,
after_scenario: nil
},
system: nil,
scenarios: []
}
"""
@spec init(user_configuration) :: Suite.t
def init(config \\ %{}) do
:ok = :timer.start
config = config
|> standardized_user_configuration
|> merge_with_defaults
|> convert_time_to_micro_s
%Suite{configuration: config}
end
defp standardized_user_configuration(config) do
config
|> DeepConvert.to_map
|> translate_formatter_keys
|> force_string_input_keys
end
# backwards compatible translation of formatter keys to go into
# formatter_options now
@formatter_keys [:console, :csv, :json, :html]
defp translate_formatter_keys(config) do
{formatter_options, config} = Map.split(config, @formatter_keys)
DeepMerge.deep_merge(%{formatter_options: formatter_options}, config)
end
defp force_string_input_keys(config = %{inputs: inputs}) do
standardized_inputs = for {name, value} <- inputs, into: %{} do
{to_string(name), value}
end
%{config | inputs: standardized_inputs}
end
defp force_string_input_keys(config), do: config
defp merge_with_defaults(user_config) do
DeepMerge.deep_merge(%Configuration{}, user_config)
end
defp convert_time_to_micro_s(config) do
Enum.reduce @time_keys, config, fn(key, new_config) ->
{_, new_config} = Map.get_and_update! new_config, key, fn(seconds) ->
{seconds, Duration.microseconds({seconds, :second})}
end
new_config
end
end
end
defimpl DeepMerge.Resolver, for: Benchee.Configuration do
def resolve(_original, override = %{__struct__: Benchee.Configuration}, _) do
override
end
def resolve(original, override, resolver) when is_map(override) do
merged = Map.merge(original, override, resolver)
struct! Benchee.Configuration, Map.to_list(merged)
end
end