[pypy-dev] Pypy Benchmark of Tornado.
INADA Naoki
songofacandy at gmail.com
Fri Sep 5 02:19:24 CEST 2014
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.arkarlwin at 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.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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--
INADA Naoki <songofacandy at gmail.com>
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