[pypy-dev] Pypy Benchmark of Tornado.
Phyo Arkar
phyo.arkarlwin at gmail.com
Wed Sep 3 17:21:59 CEST 2014
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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