It was long time since I wanted to perform this kind of test, but for different reasons I never had the time to do that.
Some days ago fnally I’ve found the time thanks to a project I’m involved into.
A local webserver running flash remoting via pyamf and a flash standalone application which need to load tons of images locally.
I’ve noticed that sending from amf the list of images path to be loaded required too much time (for me), even if they’re loaded locally.
Because of this I decided to try a first benchmark loading a single image using the standard way: send the link from amf and then load it using the classic actionscript Loader.
The second test was to send directly from amf the image stream using a ByteArray and then loading the image in flash using the Loader.loadBytes method.
In this way I’ve noticed that the second task requires less time than the first one (more or less 40% less).
Unfortunately our application needs to load something like 50/100 images at the same time.
For this reason I did a new test loading 22 images of 500Kb each (10Mb total). For a better result I decided to use both pyamf and blazeds, to be sure there’s no problems in the language used. Moreover I used charles to register the benchmark of these tasks.
The results were unexpected!
First test: passing form amf the list of url images and loading using the standard flash Loader to load all of them simultaneously.
The time elapsed from the flash method call to the results was about 40 milliseconds. Then from the remote method result to the completion of all Loader about 1400 milliseconds.
Second test: passing from amf an arraycollection of bytearrays containing all the images stream to be loaded directly in flash.
The time elapsed form the flash method call to its result: about 2900 milliseconds. Time elapsed from the result to the all Loaders completion: about 900 milliseconds.
This results were unexpected for me, expecially because both with blazeds and Phd Research Proposal In Finance pyamf sending 10Mb of bytearrays tooks something like 3 seconds!
At a first impression I thought the problem was the time for java and python to create the amf stream data, but after a deeper test I discovered that they took more or less 30ms to generate the amf stream and the real bottleneck was the http transfer of this stream data.
I’m attaching here the screenshots of the charles sessions using blazeds:
In conclusion. While sending 10Mb of data ( for example bytearray ) requires more or less 2.5 seconds using flash remoting as single requests ( because the transfer rate of the webserver it’s about 4Mb/sec ), loading simultaneusly 20 images from the webserver, using http, tooks 1 second.
This is because the webserver for each requests opens a different thread to dispatch the request and in this way the total time to perform this task is less than the first method.
I didn’t know at all apache ab sine yesterday when a guy who is working with us told me about this tool included in apache distribution.
Then I used with my site on localhost using this command line:
ab -n 9000 -c 900 localhost:8080/index.php
I got this results:
http://admisiones.uprrp.edu/wp-content/?essay=410&writingservice=custom-term-paper-reviews Custom Term Paper Reviews Completed 900 requests Completed 1800 requests Completed 2700 requests Completed 3600 requests Completed 4500 requests Completed 5400 requests Completed 6300 requests Completed 7200 requests Completed 8100 requests Finished 9000 requests
Server Software: Apache/2.0.55 Server Hostname: localhost Server Port: 8080
Document Path: /index.php Document Length: 37949 bytes
Concurrency Level: 10 Time taken for tests: 407.890625 seconds Complete requests: 9000 Failed requests: 25 (Connect: 0, Length: 25, Exceptions: 0) Write errors: 0 Total transferred: 342093375 bytes HTML transferred: 340598850 bytes Requests per second: 22.06 [#/sec] (mean) Time per request: 453.212 [ms] (mean) Time per request: 45.321 [ms] (mean, across all concurrent requests) Transfer rate: 819.03 [Kbytes/sec] received
Connection Times (ms) min mean[+/-sd] median max Connect: 0 0 2.7 0 78 Processing: 140 452 217.8 359 2265 Waiting: 31 402 194.0 328 2218 Total: 140 452 218.0 359 2265
Percentage of the requests served within a certain time (ms) 50% 359 66% 390 75% 421 80% 515 90% 750 95% 968 98% 1156 99% 1281 100% 2265 (longest request)
Mmhh.. 25 errors with 9000 connection and 900 concurrency level?
I must admit I never used stress test tool at all by my own, just one time I see it used when working for a big java based project.
Do you use some kind of benchmarking tool?