[pypy-dev] Pypy Benchmark of Tornado.

[Phyo Arkar]

Thanks alot Ben,
Ok , as PyPy is choice of quora and they also use tornado , i might keep
testing on larget projects.
How about mongodb performance on PyPy , i heard its slower due to no C
Extension (no CFFI) for pypy.
Your suggestion will be very appreciated.


On Thu, Sep 4, 2014 at 4:56 AM, Jolitz Ben - bjolit <Ben.Jolitz at acxiom.com>
wrote:

>  I use Tornado and have found PyPy can yield a 30-50% performance
> increase for a moderately complex project.
>
>  Ben
>
>   From: Phyo Arkar <phyo.arkarlwin at gmail.com>
> Date: Wednesday, September 3, 2014 at 8:21 AM
> To: pypy-dev <pypy-dev at python.org>
> Subject: Re: [pypy-dev] Pypy Benchmark of Tornado.
>
>   I expect pypy to be faster in those cases but select io is not cpu
> intensive thing to do so no real benefit using pypy here i  guess.
> On Wed, Sep 3, 2014 at 4:43 PM, Phyo Arkar <phyo.arkarlwin at gmail.com>
> wrote:
> >
> > It just return json document with a few thousand characters (1053 bytes)
> >  $siege -c 400 -t 20s -r 2000 http://localhost:9999/js
> >
> > Python 2.7.7:
> >
> > Lifting the server siege...      done.
> >
> > Transactions:                  14478 hits
> > Availability:                 100.00 %
> > Elapsed time:                  19.10 secs
> > Data transferred:              14.54 MB
> > Response time:                  0.01 secs
> > Transaction rate:             758.01 trans/sec
> > Throughput:                     0.76 MB/sec
> > Concurrency:                    8.91
> > Successful transactions:       14478
> > Failed transactions:               0
> > Longest transaction:            1.08 seconds
> > Shortest transaction:           0.00
> >
> > pypy-2.3.1 stable:
> >
> > Transactions:                  15149 hits
> > Availability:                 100.00 %
> > Elapsed time:                  19.63 secs
> > Data transferred:              15.21 MB
> > Response time:                  0.02 secs
> > Transaction rate:             771.73 trans/sec
> > Throughput:                     0.77 MB/sec
> > Concurrency:                   11.92
> > Successful transactions:       15149
> > Failed transactions:               0
> > Longest transaction:            1.09 seconds
> > Shortest transaction:           0.00
> >
> >
> >
> > pypy--c-jit-73283-912dd9df99a8-linux64 (latest nightly build)
> >
> > Lifting the server siege...      done.
> >
> > Transactions:                  14361 hits
> > Availability:                 100.00 %
> > Elapsed time:                  19.13 secs
> > Data transferred:              14.42 MB
> > Response time:                  0.03 secs
> > Transaction rate:             750.71 trans/sec
> > Throughput:                     0.75 MB/sec
> > Concurrency:                   21.53
> > Successful transactions:       14361
> > Failed transactions:               0
> > Longest transaction:            3.03 seconds
> > Shortest transaction:           0.00
> >
> >
> >
> >
> > Pypy Nightly  have some request Randomly get to 3.0 Seconds , normally
> those requests (in Cpython) are only ~0.001 to 0.002 sec.
> >
>  It just return json document with a few thousand characters (1053 bytes)
>  $siege -c 400 -t 20s -r 2000 http://localhost:9999/js
>
> Python 2.7.7:
>
> Lifting the server siege...      done.
>
> Transactions:                  14478 hits
> Availability:                 100.00 %
> Elapsed time:                  19.10 secs
> Data transferred:              14.54 MB
> Response time:                  0.01 secs
> Transaction rate:             758.01 trans/sec
> Throughput:                     0.76 MB/sec
> Concurrency:                    8.91
> Successful transactions:       14478
> Failed transactions:               0
> Longest transaction:            1.08 seconds
> Shortest transaction:           0.00
>
> pypy-2.3.1 stable:
>
> Transactions:                  15149 hits
> Availability:                 100.00 %
> Elapsed time:                  19.63 secs
> Data transferred:              15.21 MB
> Response time:                  0.02 secs
> Transaction rate:             771.73 trans/sec
> Throughput:                     0.77 MB/sec
> Concurrency:                   11.92
> Successful transactions:       15149
> Failed transactions:               0
> Longest transaction:            1.09 seconds
> Shortest transaction:           0.00
>
>
>
> pypy--c-jit-73283-912dd9df99a8-linux64 (latest nightly build)
>
> Lifting the server siege...      done.
>
> Transactions:                  14361 hits
> Availability:                 100.00 %
> Elapsed time:                  19.13 secs
> Data transferred:              14.42 MB
> Response time:                  0.03 secs
> Transaction rate:             750.71 trans/sec
> Throughput:                     0.75 MB/sec
> Concurrency:                   21.53
> Successful transactions:       14361
> Failed transactions:               0
> Longest transaction:            3.03 seconds
> Shortest transaction:           0.00
>
>
>
>
>  Pypy Nightly  have some request Randomly get to 3.0 Seconds , normally
> those requests (in Cpython) are only ~0.001 to 0.002 sec.
>
>
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