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Deepak
Deepak
"The greatness of a nation can be judged by the way its animals are treated - Mahatma Gandhi"
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On Thu, Oct 28, 2021 at 1:03 PM Torsten Rosenberger <rosenberger@xxxxxxxxx> wrote:
>
> Some thoughts:
>
> 1. We are using a simple SQL Query in the code
> $data = ""> > ->where(array('email' => $email_address))
> ->order_by('user_id', 'DESC')
> ->limit(1)
> ->get('users')
> ->row_array();
looks like you are using laraval
so i would start with $start =
microtime(true);
run you db code and the microtime(true) - $start;
and
compare this when you rewrite the code with native mysqli functions
like
mysqli_query
I know this is work but so you can get the feeling which
one is faster.
In small application you use frameworks but there could
be cases where a normal function ist much faster as writing a class
>
>
> 2. We are using mysqli
>
> 3. The SQL Query takes time in msec. And the Database is not a
> performance bottleneck
That could be OK for the database. But as in point 1. so the query
could be fast but the layer above could be slow.
I thing when you
compare the code sections with microtime you will find the part eating
the time in the script.
>
> 4. We use mostly images with <img src=""> >
> 5. We have seen fpm outperform mod_php
>
> 6. The Java code accesses the same database (The database is on a
> seperate physical server). Also the queries are the same in Java as
> well PHP
>
> 7. I will try instrumenting the entire PHP code and see where the
> bottleneck is.
>
> Deepak
> "The greatness of a nation can be judged by the way its animals are
> treated - Mahatma Gandhi"
>
> +91 73500 12833
> deicool@xxxxxxxxx
>
> Facebook: https://www.facebook.com/deicool
> LinkedIn: www.linkedin.com/in/deicool
>
> "Plant a Tree, Go Green"
>
> Make In India : http://www.makeinindia.com/home
>
>
> On Thu, Oct 28, 2021 at 11:23 AM Torsten Rosenberger <
> rosenberger@xxxxxxxxx> wrote:
> > Hello Deepak
> >
> > I think PHP-FPM had heavily reduce the concurrency of PHP.
> > > PHP should immediately implement a API like WSGI/ASGI in python.
> > It
> > > is very simple but very useful.
> > >
> > > ------------------ 原始邮件 ------------------
> > > 发件人: "Deepak Goel" <deicool@xxxxxxxxx>;
> > > 发送时间: 2021年10月26日(星期二) 晚上11:15
> > > 收件人: "Alex"<al-php@xxxxxxx>;
> > > 抄送: "php-general General List"<php-general@xxxxxxxxxxxxx>;"Deepak
> > > Sharma"<deepak@xxxxxxxxxxx>;
> > > 主题: Re: PHP Performance/Scalability
> > >
> > > Hi
> > >
> > > The code is fairly simple. It contains a few images and a simple
> > SQL
> > > query (The same code in Java gives superb performance). We have
> > an
> > > Apache Web Server in front of php as of now. And I will try out
> > this
> > > (https://github.com/spiral/roadrunner).
> >
> > We are talking about a blackbox.
> > The code is simple ?
> >
> > How long take's
> > the sql query ?
> > What do you use to access the database PDO or mysqli ?
> > Y
> > ou wrote java is faster. Your java code access the same database ?
> >
> > You wrote a few images ?
> > Do you only show the images with <img src=""> > > or are you converting them for thumbnails etc.
> >
> > A long time ago there was a great presentation from Rasmus about
> > PHP
> > Performance.
> >
> > So a simple query on my Server's with mod_php and mysql
> > takes 0.0001 to 0.0008 seconds. If the simple query takes 0.01
> > Second
> > which looks fast but php have to wait for the DB. So there you can
> > loose factor 100 in the req/sec.
> >
> > Why are you using fpm and not the mod_php part in apache ?
> > OPcache is
> > active ?
> >
> > There are a lot of parameters we don't know.
> >
> > If you benchmark
> > your code with an easy microtime(true) call to see how long your
> > script
> > takes.
> > If you store the data in a file when you run your benchmark you
> > can maybe see if a code part is waiting for the database or
> > something
> > else.
> > So that the bottleneck ist not php.
> >
> > So i would go through the code
> > with microtime() an look what takes long and then go deepter.
> >
> > if the
> > code is heavy and the result dosen't change or a refresh after 5
> > min is
> > ok you can use the APCu cache or so on.
> >
> > If your code is super fast an still slow requests then you have to
> > strace the apache process to see if there is something miss
> > configured.
> >
> >
> > So as a PHP developer we cann't accept that Java is faster :)
> >
> > BR/Torsten
> >
> > > Thanks.
> > >
> > > Deepak
> > > "The greatness of a nation can be judged by the way its animals
> > are
> > > treated - Mahatma Gandhi"
> > >
> > > +91 73500 12833
> > > deicool@xxxxxxxxx
> > >
> > > Facebook: https://www.facebook.com/deicool
> > > LinkedIn: www.linkedin.com/in/deicool
> > >
> > > "Plant a Tree, Go Green"
> > >
> > > Make In India : http://www.makeinindia.com/home
> > >
> > >
> > > On Tue, Oct 26, 2021 at 5:15 PM Alex <al-php@xxxxxxx> wrote:
> > > > Hi.
> > > >
> > > > On 26.10.21 11:53, Deepak Goel wrote:
> > > > > Hello
> > > > >
> > > > > I have a very simple PHP application which I develop on
> > Apache-
> > > > Web-Server. However the application does
> > > > > not scale beyond 1500 concurrent users (150 requests/sec),
> > even
> > > > though there is plenty of hardware
> > > > > available (CPU is getting utilized 15%, Memory is getting
> > > > utilized 15%).
> > > > >
> > > > > On a similar note, when I develop the same application in
> > Java,
> > > > it scales to more than 6000 concurrent
> > > > > users (600 requests/sec) on the same hardware.
> > > > >
> > > > > Any pointers on how to address this scalability issue?
> > > >
> > > > The question is how "simple" is the PHP Code?
> > > > Maybe you can tune the Code or use another Server in front of
> > PHP
> > > > FPM like haproxy, Caddy, nginx?
> > > > Maybe you can try to run https://github.com/spiral/roadrunner
> > to
> > > > execute the PHP Code.
> > > >
> > > > Jm2c
> > > >
> > > > Regards
> > > > Alex
> > > >
> > > > > Thanks!
> > > > >
> > > > > Deepak
> > > > > "The greatness of a nation can be judged by the way its
> > animals
> > > > are treated - Mahatma Gandhi"
> > > > >
> > > > > +91 73500 12833
> > > > > deicool@xxxxxxxxx <mailto:deicool@xxxxxxxxx>
> > > > >
> > > > > Facebook: https://www.facebook.com/deicool <
> > > > https://www.facebook.com/deicool>
> > > > > LinkedIn: www.linkedin.com/in/deicool <
> > > > http://www.linkedin.com/in/deicool>
> > > > >
> > > > > "Plant a Tree, Go Green"
> > > > >
> > > > > Make In India : http://www.makeinindia.com/home <
> > > > http://www.makeinindia.com/home>
> > > >
> >
