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78 lines
2.6 KiB
78 lines
2.6 KiB
%%% -------------------------------------------------------
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%%% @author huangyongxing@yeah.net
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%%% @doc
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%%% 简单的性能测试工具，匿名函数的影响有限，
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%%% 但是方便不修改工具直接外部添加测试用例进行对比使用，
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%%% 所以忽略匿名函数对测试结果的影响，做基本的性能判断
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%%%
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%%% 对比测试方式：
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%%% ptester:run(Times, [
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%%% {Fun1Label, Fun1/1},
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%%% {Fun2Label, Fun2/1},
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%%% ...
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%%% ]).
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%%% 单个函数测试:
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%%% ptester:timer(FunLabel, Fun/1, Times).
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%%% @end
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%%% -------------------------------------------------------
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-module(ptester).
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-compile(export_all).
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%% 运行一个测试集
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run(N, List) ->
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[[L, T1, T2] = H | T] = [timer(Label, F, N) || {Label, F} <- List],
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io:format("========================================================================~n"),
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io:format("~20s = ~9.2fms [~8.2f%] ~9.2fms [~8.2f%]~n", [L, T1 + 0.0, 100.0, T2 + 0.0, 100.0]),
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compare(T, H),
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io:format("========================================================================~n").
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%% 运行单项测试并计时
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timer(Label, F, N) ->
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% WordSize = erlang:system_info(wordsize),
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% 分配较大的初始空间，减少gc对测试结果的影响，以期获得更准确的结果
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% MinHeapSize = 20 * 1024 * 1024,
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% MinBinVHeapSize = MinHeapSize,
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% erlang:process_flag(min_heap_size, MinHeapSize),
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% erlang:process_flag(min_bin_vheap_size, MinBinVHeapSize),
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% 先进行gc一次，避免多个函数测试时，上一次的测试对进程gc的相关影响
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erlang:garbage_collect(self()),
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statistics(runtime),
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statistics(wall_clock),
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for(1, N, F),
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{_, Time1} = statistics(runtime),
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{_, Time2} = statistics(wall_clock),
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U1 = Time1 * 1000 / N,
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U2 = Time2 * 1000 / N,
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io:format("~p [total: ~p(~p)ms avg: ~.3f(~.3f)us]~n", [Label, Time1, Time2, U1, U2]),
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[Label, Time1, Time2].
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%% 比较结果
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compare([], _) ->
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ok;
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compare([[L, T1, T2] | T], [_, TB1, TB2] = TB) ->
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io:format(
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"~20s = ~9.2fms [~8.2f%] ~9.2fms [~8.2f%]~n",
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[L, T1 + 0.0, T1 / (TB1 + 0.00000001) * 100, T2 + 0.0, T2 / (TB2 + 0.00000001) * 100]
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),
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compare(T, TB).
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%% for循环
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for(Max, Max, F) -> F(Max);
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for(I, Max, F) -> F(I), for(I + 1, Max, F).
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%% 产生随机数
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rand(Same, Same) -> Same;
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rand(Min, Max) when Max < Min ->
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rand(Max, Min);
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rand(Min, Max) ->
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case get("rand_seed") of
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undefined ->
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RandSeed = os:timestamp(),
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rand:seed(RandSeed),
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put("rand_seed", RandSeed);
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_ ->
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skip
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end,
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M = Min - 1,
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rand:uniform(Max - M) + M.
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