febird.dataio vs boost.serialization 运行性能对比
代码表示的是数据格式，DATA_IO_LOAD_SAVE 在 <febird/io/DataIO.h> 中定义
对boost，DATA_IO_LOAD_SAVE 的定义相当于：
#define DATA_IO_LOAD_SAVE(Class, Members) \
friend class boost::serialization::access; \
template<class Archive> \
void serialize(Archive & ar, const unsigned int version) \
{ ar Members; }
数据格式：
struct MyData1
{
uint32_t a, b, c;
uint32_t d[5];
DATA_IO_LOAD_SAVE(MyData1, &a&b&c&d)
};
struct MyData2
{
uint32_t a, b, c, d;
MyData1 e;
DATA_IO_LOAD_SAVE(MyData2, &a&b&c&d&e)
};
struct MyData3
{
uint32_t a, b, c;
uint32_t d;
};
DATA_IO_DUMP_RAW_MEM(MyData3)
struct VarIntD
{
var_uint32_t a, b, c, d, e, f;
VarIntD()
{
a = 127;
b = 128;
c = 128*128;
d = 128*128*128;
e = 128*128*128*128;
f = 1;
}
DATA_IO_LOAD_SAVE(VarIntD, &a&b&c&d&e&f)
};
typedef pair<MyData2, MyData3> MyData23;
boost_bin_save: loop=10, time[febird, boost, ratio=b/f] in us
vector<pair<int,int> >.size= 4000, time[ 1004, 1004, 1.0000]
vector<MyData1> .size= 4000, time[ 23918, 23918, 1.0000]
vector<string> .size= 4000, time[ 9266, 9266, 1.0000]
map<int,string> .size= 3756, time[ 19434, 19434, 1.0000]
loop{MyData1 }, loop count= 4000, time[ 23592, 23592, 1.0000]
loop{VarIntD }, loop count= 4000, time[ 52832, 52832, 1.0000]
vector<MyData23>, .size= 4000, time[ 68581, 68581, 1.0000]
boost_bin_load: loop=10, time[febird, boost, ratio=b/f] in us
vector<pair<int,int> >.size= 4000, time[ 766, 766, 1.0000]
vector<MyData1> .size= 4000, time[ 26738, 26738, 1.0000]
vector<string> .size= 4000, time[ 41097, 41097, 1.0000]
map<int,string> .size= 3756, time[ 63985, 63985, 1.0000]
loop{MyData1 }, loop count= 4000, time[ 23486, 23486, 1.0000]
loop{VarIntD }, loop count= 4000, time[ 88218, 88218, 1.0000]
vector<MyData23>, .size= 4000, time[ 75386, 75386, 1.0000]
File Save Native: loop=10, time[febird, boost, ratio=b/f] in us
vector<pair<int,int> >.size= 4000, time[ 593, 1004, 1.6910]
vector<MyData1> .size= 4000, time[ 1043, 23918, 22.9288]
vector<string> .size= 4000, time[ 3741, 9266, 2.4767]
map<int,string> .size= 3756, time[ 5018, 19434, 3.8723]
loop{MyData1 }, loop count= 4000, time[ 2898, 23592, 8.1390]
loop{VarIntD }, loop count= 4000, time[ 8664, 52832, 6.0977]
vector<MyData23>, .size= 4000, time[ 5768, 68581, 11.8887]
File Load Native: loop=10, time[febird, boost, ratio=b/f] in us
vector<pair<int,int> >.size= 4000, time[ 400, 766, 1.9156]
vector<MyData1> .size= 4000, time[ 868, 26738, 30.7855]
vector<string> .size= 4000, time[ 3812, 41097, 10.7790]
map<int,string> .size= 3756, time[ 58671, 63985, 1.0906]
loop{MyData1 }, loop count= 4000, time[ 1547, 23486, 15.1780]
loop{VarIntD }, loop count= 4000, time[ 2580, 88218, 34.1866]
vector<MyData23>, .size= 4000, time[ 4667, 75386, 16.1499]
File Save Portable: loop=10, time[febird, boost, ratio=b/f] in us
vector<pair<int,int> >.size= 4000, time[ 1114, 1004, 0.9010]
vector<MyData1> .size= 4000, time[ 4044, 23918, 5.9143]
vector<string> .size= 4000, time[ 3480, 9266, 2.6628]
map<int,string> .size= 3756, time[ 5089, 19434, 3.8185]
loop{MyData1 }, loop count= 4000, time[ 3622, 23592, 6.5132]
loop{VarIntD }, loop count= 4000, time[ 7255, 52832, 7.2812]
vector<MyData23>, .size= 4000, time[ 6831, 68581, 10.0397]
File Load Portable: loop=10, time[febird, boost, ratio=b/f] in us
vector<pair<int,int> >.size= 4000, time[ 500, 766, 1.5318]
vector<MyData1> .size= 4000, time[ 1543, 26738, 17.3266]
vector<string> .size= 4000, time[ 3924, 41097, 10.4728]
map<int,string> .size= 3756, time[ 58689, 63985, 1.0902]
loop{MyData1 }, loop count= 4000, time[ 2957, 23486, 7.9425]
loop{VarIntD }, loop count= 4000, time[ 2575, 88218, 34.2497]
vector<MyData23>, .size= 4000, time[ 5375, 75386, 14.0246]
Memory Save Native: loop=10, time[febird, boost, ratio=b/f] in us
vector<pair<int,int> >.size= 4000, time[ 198, 1004, 5.0705]
vector<MyData1> .size= 4000, time[ 510, 23918, 46.8615]
vector<string> .size= 4000, time[ 3088, 9266, 2.9999]
map<int,string> .size= 3756, time[ 3679, 19434, 5.2817]
loop{MyData1 }, loop count= 4000, time[ 1106, 23592, 21.3311]
loop{VarIntD }, loop count= 4000, time[ 7546, 52832, 7.0006]
vector<MyData23>, .size= 4000, time[ 2242, 68581, 30.5868]
Memory Load Native: loop=10, time[febird, boost, ratio=b/f] in us
vector<pair<int,int> >.size= 4000, time[ 170, 766, 4.4853]
vector<MyData1> .size= 4000, time[ 505, 26738, 52.9088]
vector<string> .size= 4000, time[ 3134, 41097, 13.1104]
map<int,string> .size= 3756, time[ 58097, 63985, 1.1013]
loop{MyData1 }, loop count= 4000, time[ 114, 23486, 205.5526]
loop{VarIntD }, loop count= 4000, time[ 4586, 88218, 19.2339]
vector<MyData23>, .size= 4000, time[ 1894, 75386, 39.7889]
Memory Save Portable: loop=10, time[febird, boost, ratio=b/f] in us
vector<pair<int,int> >.size= 4000, time[ 557, 1004, 1.8029]
vector<MyData1> .size= 4000, time[ 2392, 23918, 9.9960]
vector<string> .size= 4000, time[ 2916, 9266, 3.1778]
map<int,string> .size= 3756, time[ 3563, 19434, 5.4539]
loop{MyData1 }, loop count= 4000, time[ 2203, 23592, 10.7061]
loop{VarIntD }, loop count= 4000, time[ 7307, 52832, 7.2294]
vector<MyData23>, .size= 4000, time[ 3742, 68581, 18.3243]
Memory Load Portable: loop=10, time[febird, boost, ratio=b/f] in us
vector<pair<int,int> >.size= 4000, time[ 301, 766, 2.5464]
vector<MyData1> .size= 4000, time[ 1182, 26738, 22.6056]
vector<string> .size= 4000, time[ 3150, 41097, 13.0453]
map<int,string> .size= 3756, time[ 57657, 63985, 1.1098]
loop{MyData1 }, loop count= 4000, time[ 1549, 23486, 15.1589]
loop{VarIntD }, loop count= 4000, time[ 4610, 88218, 19.1325]
vector<MyData23>, .size= 4000, time[ 2650, 75386, 28.4410]
Uncheck Save Native: loop=10, time[febird, boost, ratio=b/f] in us
vector<pair<int,int> >.size= 4000, time[ 173, 1004, 5.7797]
vector<MyData1> .size= 4000, time[ 480, 23918, 49.8057]
vector<string> .size= 4000, time[ 2480, 9266, 3.7358]
map<int,string> .size= 3756, time[ 3436, 19434, 5.6552]
loop{MyData1 }, loop count= 4000, time[ 1070, 23592, 22.0381]
loop{VarIntD }, loop count= 4000, time[ 7110, 52832, 7.4300]
vector<MyData23>, .size= 4000, time[ 2155, 68581, 31.8240]
Uncheck Load Native: loop=10, time[febird, boost, ratio=b/f] in us
vector<pair<int,int> >.size= 4000, time[ 172, 766, 4.4489]
vector<MyData1> .size= 4000, time[ 530, 26738, 50.3747]
vector<string> .size= 4000, time[ 2985, 41097, 13.7681]
map<int,string> .size= 3756, time[ 57228, 63985, 1.1181]
loop{MyData1 }, loop count= 4000, time[ 17, 23486, 1355.9839]
loop{VarIntD }, loop count= 4000, time[ 2472, 88218, 35.6816]
vector<MyData23>, .size= 4000, time[ 1838, 75386, 40.9979]
Uncheck Save Portable: loop=10, time[febird, boost, ratio=b/f] in us
vector<pair<int,int> >.size= 4000, time[ 518, 1004, 1.9359]
vector<MyData1> .size= 4000, time[ 2415, 23918, 9.9001]
vector<string> .size= 4000, time[ 2430, 9266, 3.8126]
map<int,string> .size= 3756, time[ 3599, 19434, 5.3985]
loop{MyData1 }, loop count= 4000, time[ 2037, 23592, 11.5812]
loop{VarIntD }, loop count= 4000, time[ 7476, 52832, 7.0660]
vector<MyData23>, .size= 4000, time[ 3740, 68581, 18.3325]
Uncheck Load Portable: loop=10, time[febird, boost, ratio=b/f] in us
vector<pair<int,int> >.size= 4000, time[ 281, 766, 2.7232]
vector<MyData1> .size= 4000, time[ 1199, 26738, 22.2897]
vector<string> .size= 4000, time[ 2731, 41097, 15.0437]
map<int,string> .size= 3756, time[ 57136, 63985, 1.1199]
loop{MyData1 }, loop count= 4000, time[ 1578, 23486, 14.8825]
loop{VarIntD }, loop count= 4000, time[ 2628, 88218, 33.5581]
vector<MyData23>, .size= 4000, time[ 2420, 75386, 31.1459]