I'm evaluating HipHop-PHP for compatibility and performance on our code base, but I'm getting very poor performance when running it with the built-in web server enabled.
I have the following sample test program that calculates a Fibonacci sequence.
ex3.php:
function fib($n)
{
if ($n <= 2)
return 1;
else
return fib($n-1) + fib($n-2);
}
$n = 36;
printf("fib(%d) = %d\n", $n, fib($n, 2));
When I run this through HHVM using the command-line, I get impressive results:
time hhvm -v"Eval.Jit=true" -f ./ex3.php
fib(36) = 14930352
real 0m0.267s
user 0m0.248s
sys 0m0.020s
Compare this with standard PHP:
root@hiphop:/www# time php -f ./ex3.php
fib(36) = 14930352
real 0m5.606s
user 0m5.600s
sys 0m0.000s
However, when I want to enable the built-in web server in HHVM, all performance gains are lost:
hhvm -v"Eval.Jit=true" -m server -p 8000 &
time wget -qSO - http://localhost:8000/ex3.php
HTTP/1.1 200 OK
Content-Type: text/html; charset=utf-8
X-Powered-By: HPHP
Date: Sat, 27 Jul 2013 14:16:09 GMT
Content-Length: 19
fib(36) = 14930352
real 0m5.279s
user 0m0.000s
sys 0m0.000s
As you can see, I'm getting the response back from HHVM, but it taks more than 5 seconds for it to process this request. What am I missing?
HHVM engineer here.
In server mode, HHVM will run the first N requests it sees in interpreter-only mode (i.e. with the JIT off).
The default in an optimized build is N=11, so if you were to run the request 12 times, the 12th one would be much faster.
You can tune this with a config option, like so: -v Eval.JitWarmupRequests=3
. If you set it to 0, you'll see the speedup immediately.
There are a couple reasons to do this.
First, it prevents transient warmup effects from affecting JIT-compiled code.
For example, the first few requests may need populate values in APC, which will cause the application code to go down different paths from the steady-state paths. This way, we don't waste space on JIT compilations that will only be used a few times.
Second, it allows HHVM to collect profiling information to improve future compilation.
If we observe that a certain value is an integer 99% of the time, for example, we can compile code that's optimized for the integer case. We currently don't have the facility to JIT-compile code with profiling enabled (the hard part is safely throwing it away once we're done with it), so we do the data collection in interpreter-only mode.