BTW, I remember that Fabien wanted to serialize such stuff for Metalua.
Engram is too slow to be considered even marginally useful. Serialization to Lua source is much faster (and more secure).
$ ./run_benchmark.sh benchmark.lua 1e5
lua
-------------------------------------------------------------------
name | rel | abs s / iter = us (1e-6 s) / iter
-------------------------------------------------------------------
luabins_load | 1.0000 | 0.57 / 100000 = 5.700000 us
luabins_save | 1.1404 | 0.65 / 100000 = 6.500000 us
marshal | 1.1754 | 0.67 / 100000 = 6.700000 us
unmarshal | 1.7193 | 0.98 / 100000 = 9.800000 us
unengram | 2.0000 | 1.14 / 100000 = 11.400000 us
loadstring | 3.2807 | 1.87 / 100000 = 18.700000 us
concat | 9.1754 | 5.23 / 100000 = 52.300000 us
tstr | 12.2982 | 7.01 / 100000 = 70.100000 us
tserialize | 17.0351 | 9.71 / 100000 = 97.100000 us
engram | 38.3860 | 21.88 / 100000 = 218.800000 us
The full benchmark below was run with bench.engram/unengram commented out.
$ ./run_benchmark.sh benchmark.lua 1e6
lua
-------------------------------------------------------------------
name | rel | abs s / iter = us (1e-6 s) / iter
-------------------------------------------------------------------
luabins_load | 1.0000 | 5.68 / 1000000 = 5.680000 us
luabins_save | 1.1479 | 6.52 / 1000000 = 6.520000 us
marshal | 1.1954 | 6.79 / 1000000 = 6.790000 us
unmarshal | 1.5581 | 8.85 / 1000000 = 8.850000 us
loadstring | 3.3151 | 18.83 / 1000000 = 18.830000 us
concat | 9.4401 | 53.62 / 1000000 = 53.620000 us
tstr | 12.3644 | 70.23 / 1000000 = 70.230000 us
tserialize | 16.6021 | 94.30 / 1000000 = 94.300000 us
Modern LJ2 seems to be too smart for my benchmark (or I did break something), so no results for LJ2 this time.
Alexander.
P.S. Disclaimer: read benchmark code, run it on your own box, write your own benchmark — this one is a toy. But if you'd see a way to improve something, please tell me.
