Architect
Profiler results from Elixir in Action (10.2.2)
I am reading the Elixir in Action book and testing ETS page cache implementation (10.2.2) on Windows 10 Pro (i7-5820K 3.30GHz, 6 cores). I got the following results:
iex(30)> Profiler.run(EtsPageCache, 100_000)
3_225_806 reqs/sec
iex(31)> Profiler.run(EtsPageCache, 100_000, 100)
81_039 reqs/sec
@sasajuric’s results running it on a 4 core system:
iex(4)> Profiler.run(EtsPageCache, 100_000)
2_613_764 reqs/sec
iex(5)> Profiler.run(EtsPageCache, 100_000, 100)
10_568_289 reqs/sec
As you can see in concurrent case call the difference is HUGE! 80 thousand vs 10 million requests per second. I am trying to find an explanation and curious if anybody else (who read the book) tested it and what were the results?
Thanks!
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First 6 of 6 Posts!
dokuzbir
maybe that link helps you
https://github.com/sasa1977/elixir-in-action/issues/16
Architect
Thank you.
I have posted the question there as well.
dokuzbir
These are my linux results from offical elixir in action repo.
sasajuric
It appears you’re running examples from the first edition. For various reasons, these are obsolete.
My main OS is macos, but I’ve just tried the 2nd edition examples (the
2nd-editionbranch) on Windows 10, quad core machine, Elixir 1.6 and Erlang 20.2. Here’s what I’ve got:non ETS:
ETS:
For comparison, here’s what I’ve got on my macbook:
non ETS:
ETS:
There are clearly some differences between Windows/macos, which I currently can’t explain. One part of the reason could lie in the fact that the benchmark is synthetic, simplified, and originally performed on my macos machine. Regardless, the two main points hold across different OSes:
Either way, your results are quite strange, since performance degrades significantly with increased concurrency. I wonder if your Erlang installation is taking advantage of multiple cores at all? What’s the result of System.schedulers and
System.schedulers_online?Architect
12 in both cases. I have just tested on another W10 and got same bad results.
Architect
Sorry for wasting everybody’s time.