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.jol...@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.arkarl...@gmail.com> > Date: Wednesday, September 3, 2014 at 8:21 AM > To: pypy-dev <pypy-dev@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.arkarl...@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. > > > *************************************************************************** > The information contained in this communication is confidential, is > intended only for the use of the recipient named above, and may be legally > privileged. > > If the reader of this message is not the intended recipient, you are > hereby notified that any dissemination, distribution or copying of this > communication is strictly prohibited. > > If you have received this communication in error, please resend this > communication to the sender and delete the original message or any copy > of it from your computer system. > > Thank You. > > **************************************************************************** > > _______________________________________________ > pypy-dev mailing list > pypy-dev@python.org > https://mail.python.org/mailman/listinfo/pypy-dev > >
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