ReactPHP http server for each user, Is this a good idea? - php

ReactPHP http server for each user, Is this a good idea?
In my application:
Each logged on user sends and receives data from server. In average one request per second.
After server response, the server have some extra work to do, which is related to specific user.
I can simply build new ReactPHP http server for each user who logs, and release the server after the user log out.
Is this will work? Am i missing something ?

No, it's not a good idea. You need a separate port per user in that case to route the user to the right server. That'd quickly exhaust your ports.
If you have blocking tasks within the event loop and want to use multiple processes because of that, just stick to traditional PHP with mod_php or php-fpm and start a new event loop for each process, do your thing and then exit.
If you don't have any blocking operations and everything is non-blocking, you can just use a single server and it handles all the things.

I'm not sure if exhausting ports would be the issue. Other services that do just this such as WebRTC SFUs. With 65,535 ports available that your talking 30,000+ concurrent TCP connections.
However, with that many users first obvious problem would be memory. At 10 mb just to start up PHP, that would be 300+ gb of memory without including a single line of code or actually doing anything. If your working with a seriously trimmed php binary you can get down to 4 or 5 mb, so at 5,000 concurrent users you would have around 25 gb.
But the real problem is that it would result in thousands of processes, which is impossible to work around. This would be entirely wasteful considering ReactPHP's eventloop can handle 10k users within a single process. Not saying a single PHP process can do the work for that many users (except maybe the most basic chat) but ReactPHP can handle the IO. Throwing them all into their own process though would a nightmare.
The basic idea has been tried in other languages by giving each user their own thread, but even in C/C++ this is quickly proven to be a bad design.

Related

Looking for best server setup solution for my web application

I have 3 codeigniter based application instances on two separate servers.
Server 1.
First instance is application, second instance is rest API, both use same database. ( I know there is no benefit to have two instances on same machine, other than cleanliness, and that is why I have it this way ).
Server 2.
This server holds only rest API with whole bunch of php data processing functions. I call this server worker because that is what it only does.
This server works as an endpoint for many API services I am connecting with.
So all this server does as first function is receive requests from application, sometimes it processes those requests before anything else.
Then sends requests to API service. Process is complete this session is over.
In short time API service responds with results where this server takes and processes the data then it sends the result to the application.
Application is at times heavy on amount of very simple sql queries, for the most part insert/update on single table. Amount of sent requests is kept to minimal as well, just because for the most part I send data as many requests in one. I call this bulk request.
What is very heavy is amount of responses I get, I can get up to a 1000 responses to one request within few seconds.( I can't minimize that, because I need every single one ), and then each response I get also is being followed by another two identical responses just to make sure I got it, which I threat as duplicate as soon as I can, and stopping that one process.
Then I process every response with php ( not too heavy just matching result arrays ) and post it to my rest API on the application server to update application tables.
Now when I run say 1 request that returns 1000 responses, application is processing data fine with correct results, but the server is pretty much not accessible in this time for other users.
Everything running on an (LAMP) Ubuntu 16.04 with mysql and apache.
Framework is latest codeigniter.
Currently my setup is...
...for the application server
2 vCPUs
4GB RAM
...for worker API server
1 vCPUs
1GB RAM
I know the server setup is very weak, and it bottlenecks for sure. But this was just for development stage.
Now I am moving into production and would like to hear opinions if you have any on how to best approach this.
I am a programmer first, then server administrator.
So I was debating switching to NGINX, I think I will definitely go with php-fpm, maybe MariaDB but I read of thread management is important. This app will not run heavy all the time probably 50/50 so I think just because of that I may not be able to set it to optimal for all times anyway, and may end up with not any better performance at the end.
Then probably will have to multiply servers and setup load balancing, also high availability.
Not sure about all this.
I don't think that just upgrading the servers to maximum will help tho. I can go all the way up too 64 GB RAM and 32 vCPUs per server.
Can I hear your opinions please?
Maybe share some experience?
Links to resources if you have some good ones?
Thank you very much. I hope you can help me.
Thank you.
None of your questions matter. Well, that is an exaggeration. Machines today are not enough different to worry about starting with the "best" on day one. Instead, implement something, run with it for a while, then see where your bottlenecks in order to decide what to do next.
Probably you won't have any bottlenecks for a long time.

Implementing WebSockets , the theory and the reality in PHP

this question has to do with theory as with real life programming I first asked it in (cs.stackexchange.com) because is theory most and I had the instruction to ask here (https://cs.stackexchange.com/questions/81472/question-about-implementing-websockets-theory-and-the-reality-in-php) .
I am experimenting with web sockets and PHP many years now (some of this code is already in production) , first I created from scratch a WebSocket (WS) Server with non blocking IO and everything worked fine , except in real life other methods needed by the app couldn’t be non blocking (e.g. connection to a DB and a query). Then I introduced async programming , meaning that the WS Server initiated various PHP requests to the sever and check in every loop if those requests have finished the results in order to send them to client. That worked well for few client side users connected to this WS server , the number had to do with what the operation was but it wouldn’t be more than 30 or 50. That were because if you use only one thread and you have many simultaneous requests you must check each one of them sequential if there is a finished result.
The next step was to analyze the code of popular approaches claiming that can hold and process many (some say 10000) clients in same time. Maybe they knew something that I didn’t (My issue isn’t if they are lying , the issue is if there is something I am missing (or maybe I am wrong) here). The results were frustrating. Most of them don’t use async by default advising you not to use blocking methods (something that is really impossible in real life programming) , but even if you put modules to them to make them async the same problem that I had arose.
The question isn’t what is the solution , because I implemented PHP pthreads and I could make it work , but with no real benefit (e.g. sharing objects , it had to serialize unserialize everything), I write C++ PHP extensions some years now , so I am working in a PHP extension that will do that efficiently.
The question here is , am I missing something ? How can they claim that the can handle a large amount of request simultaneously while even with async programming they have to check for each request in the loop that has finished ?
Thank you in advance for any new knowledge or direction to search that your answer might lead me.
Yes, there are projects that make it possible with PHP. One such project is Amp with its Aerys HTTP and WebSocket server. Yes, you can't just call blocking functions in the same thread. Yes, pthreads won't help, it's mostly like just running another PHP process, because everything in PHP is shared nothing. But how does it work then?
Use non-blocking implementations where possible. There are libraries that work with non-blocking I/O for database access, such as amphp/mysql.
If there's no such library, ask whether something like that can be implemented if you don't want to / can't implement it yourself.
Another possibility is to use libraries such as amphp/parallel that use persistent workers for blocking tasks. Spawning another worker for each blocking task would be horribly inefficient, so that library makes it easy to use worker pools and keep these workers alive for several tasks each.
One such library that makes use of amphp/parallel is amphp/file, which uses these workers for non-blocking filesystem access when no extensions like uv or eio are available, maybe you want to have a look at its ParallelDriver.
How many connections you will be able to handle concurrently depends a lot on your hardware and what you're doing with these connections. If you constantly stream data to each client, you will be able to keep much fewer connections open than in a situation where most connections are idle and only send / receive something in a small portion of the connected time.
If you want to handle more than ~1000 clients, you probably need an extension or recompile PHP because of the FD_MAXSIZE for stream_select, which is compiled in and limits stream_select to file descriptors lower than 1024.

php doing curl in loop will slow down server?

If I have a loop with a lot of curl executions happening, will that slow down the server that is running that process? I realize that when this process runs, and I open a new tab to access some other page on the website, it doesn't load until this curl process that's happening finishes, is there a way for this process to run without interfering with the performance of the site?
For example this is what I'm doing:
foreach ($chs as $ch) {
$content = curl_exec($ch);
... do random stuff...
}
I know I can do multi curl, but for the purposes of what I'm doing, I need to do it like this.
Edit:
Okay, maybe this might change things a bit but I actually want this process to run using WordPress cron. If this is running as a WordPress "cron", would it hinder the page performance of the WordPress site? So in essence, if the process is running, and people try to access the site, will they be lagged up?
The curl requests are not asynchronous so using curl like that, any code after that loop will have to wait to execute until after the curl requests have each finished in turn.
curl_multi_init is PHP's fix for this issue. You mentioned you need to do it the way you are, but is there a way you can refactor to use that?
http://php.net/manual/en/function.curl-multi-init.php
As an alternate, this library is really good for this purpose too: https://github.com/petewarden/ParallelCurl
Not likely unless you use a strictly 1-thread server for development. Different requests are eg in Apache handled by workers (which depending on your exact setup can be either threads or separate processes) and all these workers run independently.
The effect you're seeing is caused by your browser and not by the server. It is suggested in rfc 2616 that a client only opens a limited number of parallel connections to a server:
Clients that use persistent connections SHOULD limit the number of
simultaneous connections that they maintain to a given server. A
single-user client SHOULD NOT maintain more than 2 connections with
any server or proxy.
btw, the standard usage of capitalized keywords like here SHOULD and SHOULD NOT is explained in rfc 2119
and that's what eg Firefox and probably other browsers also use as their defaults. By opening more tabs you quickly exhaust these parallel open channels, and that's what causes the wait.
EDIT: but after reading #earl3s 'reply I realize that there's more to it: earl3s addresses the performance within each page request (and thus the server's "performance" as experienced by the individual user), which can in fact be sped up by parallelizing curl requests. But at the cost of creating more than one simultaneous link to the system(s) you're querying... And that's where rfc2616's recommendation comes back into play: unless the backend systems delivering the content are under your control you should think twice before paralleling your curl requests, as each page hit on your system will hit the backend system with n simultaneous hits...
EDIT2: to answer OP's clarification: no (for the same reason I explained in the first paragraph - the "cron" job will be running in another worker than those serving your users), and if you don't overdo it, ie, don't go wild on parallel threads, you can even mildly parallelize the outgoing requests. But the latter more to be a good neighbour than because of fear to met down your own server.
I just tested it and it looks like the multi curl process running on WP's "cron" made no noticeable negative impact on the site's performance. I was able to load multiple other pages with no terrible lag on the site while the site was running the multi curl process. So looks like it's okay. And I also made sure that there is locking so that this process doesn't get scheduled multiple times. And besides, this process will only run once a day in U.S. low-peak hours. Thanks.

What can be causing an "exceeded process limit" error?

I launched a website about a week ago and I sent out an email blast to a mailing list telling everyone the website was live. Right after that the website went down and the general error log was flooded with "exceeded process limit" errors. Since then, I've tried to really clean up a lot of the code and minimize database connections. I will still see that error about once a day in the error log. What could be causing this error? I tried to call the web host and they said it had something to do with my code but couldn't point me in any direction as to what was wrong with the code or which page was causing the error. Can anyone give me any more information? Like for instance, what is a process and how many processes should I have?
Wow. Big question.
Obviously, your maxing out your apache child worker processes. To get a rough idea of how many you can create, use top to get the rough memory footprint of one http process. If you are using wordpress or another cms, it could easily be 50-100m each (if you're using the php module for apache). Then, assuming the machine is only used for web serving, take your total memory, subtract a chunk for OS use, then divide that by 100m (in this example). Thats the max worker processes you can have. Set it in your httpd.conf. Once you do this and restart apache, monitor top and make sure you don't start swapping memory. If you do, you have set too high a number of workers.
If there is any other stuff running like mysql servers, make space for that before you compute number of workers you can have. If this number is small, to roughly quote a great man 'you are gonna need a bigger boat'. Just kidding. You might see really high memory usage for a http process like over 100m. You can tweak your the max requests per child lower to shorten the life of a http process. This could help clean up bloated http workers.
Another area to look at is time response time for a request... how long does each request take? For a quick check, use firebug plugin for firefox and look at the 'net' tab to see how long it takes for your initial request to respond back (not images and such). If for some reason request are taking more than 1 or 2 seconds to respond, that's a big problem as you get sort of a log jam. The cause of this could be php code, or mysql queries taking too long to respond. To address this, make sure if you're using wordpress to use some good caching plugin to lower the stress on mysql.
Honestly, though, unless your just not utilizing memory by having too few workers, optimizing your apache isn't something easily addressed in a short post without detail on your server (memory, cpu count, etc..) and your httpd.conf settings.
Note: if you don't have server access you'll have a hard time figuring out memory usage.
The process limit is typically something enforced by shared webhost providers, and generally has to do with the number of processes executing under your account. This will typically equate to the number of connections made to your server at once (assuming one PHP process per each connection).
There are many factors that come into play. You should figure out what that limit is from your hosting provider, and then find a new one that can handle your load.

How server manage different user's requests at a time?

can you tell me how server handles different http request at a time. If 10 users logged in a site and send request for a page at the same time what will happen?
Usually, each of the users sends a HTTP request for the page. The server receives the requests and delegates them to different workers (processes or threads).
Depending on the URL given, the server reads a file and sends it back to the user. If the file is a dynamic file such as a PHP file, the file is executed before it's send back to the user.
Once the requested file has been sent back, the server usually closes the connection after a few seconds.
For more, see: HowStuffWorks Web Servers
HTTP uses TCP which is a connection-based protocol. That is, clients establish a TCP connection while they're communicating with the server.
Multiple clients are allowed to connect to the same destination port on the same destination machine at the same time. The server just opens up multiple simultaneous connections.
Apache (and most other HTTP servers) have a multi-processing module (MPM). This is responsible for allocating Apache threads/processes to handle connections. These processes or threads can then run in parallel on their own connection, without blocking each other. Apache's MPM also tends to keep open "spare" threads or processes even when no connections are open, which helps speed up subsequent requests.
The program ab (short for ApacheBench) which comes with Apache lets you test what happens when you open up multiple connections to your HTTP server at once.
Apache's configuration files will normally set a limit for the number of simultaneous connections it will accept. This will be set to a reasonable number, such that during normal operation this limit should never be reached.
Note too that the HTTP protocol (from version 1.1) allows for a connection to be kept open, so that the client can make multiple HTTP requests before closing the connection, potentially reducing the number of simultaneous connections they need to make.
More on Apache's MPMs:
Apache itself can use a number of different multi-processing modules (MPMs). Apache 1.x normally used a module called "prefork", which creates a number of Apache processes in advance, so that incoming connections can often be sent to an existing process. This is as I described above.
Apache 2.x normally uses an MPM called "worker", which uses multithreading (running multiple execution threads within a single process) to achieve the same thing. The advantage of multithreading over separate processes is that threading is a lot more light-weight compared to opening separate processes, and may even use a bit less memory. It's very fast.
The disadvantage of multithreading is you can't run things like mod_php. When you're multithreading, all your add-in libraries need to be "thread-safe" - that is, they need to be aware of running in a multithreaded environment. It's harder to write a multi-threaded application. Because threads within a process share some memory/resources between them, this can easily create race condition bugs where threads read or write to memory when another thread is in the process of writing to it. Getting around this requires techniques such as locking. Many of PHP's built-in libraries are not thread-safe, so those wishing to use mod_php cannot use Apache's "worker" MPM.
Apache 2 has two different modes of operation. One is running as a threaded server the other is using a mode called "prefork" (multiple processes).
The requests will be processed simultaneously, to the best ability of the HTTP daemon.
Typically, the HTTP daemon will spawn either several processes or several threads and each one will handle one client request. The server may keep spare threads/processes so that when a client makes a request, it doesn't have to wait for the thread/process to be created. Each thread/process may be mapped to a different processor or core so that they can be processed more quickly. In most circumstances, however, what holds the requests is network I/O, not lack of raw computing, so there is frequently no slowdown from having a number of processors/cores significantly lower than the number of requests handled at one time.
The server (apache) is multi-threaded, meaning it can run multiple programs at once. A few years ago, a single CPU could switch back and forth quickly between multiple threads, giving on the appearance that two things were happening at once. These days, computers have multiple processors, so the computer can actually run two threads of code simultaneously. That being said, threads aren't really mapped to processors in any simple way.
With that ability, a PHP program can be thought of as a single thread of execution. If two requests reach the server at the same time, two threads can be used to process the request simultaneously. They will probably both get about the same amount of CPU, so if they are doing the same thing, they will complete at approximately the same time.
One of the most common issues with multi-threading is "race conditions"-- where you two requests are doing the same thing ("racing" to do the same thing), if it is a single resource, one of them is going to win. If they both insert a record into the database, they can't both get the same id-- one of them will win. So you need to be careful when writing code to realize other requests are going on at the same time and may modify your database, write files or change globals.
That being said, the programming model allows you to mostly ignore this complexity.

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