http://www.techempower.com/benchmarks/#section=data-r9&hw=i7&test=query&f=0-g-0-0
Motor on PyPy is fast. On Fri, Sep 5, 2014 at 5:55 AM, Phyo Arkar <phyo.arkarl...@gmail.com> wrote: > 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 >> > > > _______________________________________________ > pypy-dev mailing list > pypy-dev@python.org > https://mail.python.org/mailman/listinfo/pypy-dev > -- INADA Naoki <songofaca...@gmail.com> _______________________________________________ pypy-dev mailing list pypy-dev@python.org https://mail.python.org/mailman/listinfo/pypy-dev
