Unfortunately, setting something like this up with the default “pattern” setting in your security.yml file isn’t possible. The “pattern” setting only matches on the route URL, not the parameters so there’s no way to have it selectively trigger when a parameter is present on a URL. So how do you do it? Well as it turns out, there’s a firewall configuration called “reuqest_matcher” which lets you “match” a firewall using a service. Just create a service that extends the RequestMatcherInterface, implment a “matches” function, and then add the class as a service.
Our code for the service ended up looking like:
And then the actual firewall configuration ends up being:
You don’t need a “pattern” setting anymore since the “matches” function supersedes it. Anyway, let me know if you have any questions!
As far as type systems go, PHPs is pretty schizophrenic. You’ve got primitive types, like strings and booleans, the ubiquitous “array” type, and then user defined classes. Most of the time, the type system is invisible since it barely enforces anything. Especially for basic types and the standard library, you can almost always use strings, booleans, and integers interchangeably without much complaining from the interpreter. Where things go sideways is when you start using user defined types, especially with type hinting.
Imagine we’ve got the following setup:
If you run that in a terminal, PHP will throw the following error:
PHP Catchable fatal error: Argument 1 passed to sayHello() must be an instance of Dog, instance of Pet given, called in /home/ashish/Downloads/dog.php on line 19 and defined in /home/ashish/Downloads/dog.php on line 14
Because even though every “Dog” is by definition a superset of the “Pet” class, PHP doesn’t see it that way. And now, our original problem. In most other object oriented languages, you’d be able to simply typecast the instance of Pet to a Dog and then call the function as expected. Unfortunately, PHP doesn’t natively support typecasting so we’re stuck looking for a crazy workaround. Enter Reflection. PHPs reflection library lets you do all sorts of nefarious things, like manipulating private properties and retrieving the source for an arbitrary object.
So how do you use it to do a bootleg typecast? It’s actually pretty straightforward:
The “copyShimmedObject” is the money maker. It basically pulls the private properties out of the “from”, makes the property public, and then sets them on the “to” object. If you run the sample you’ll get the expected output instead of the error above:
Hello: Fluffy of destroyer of worlds
One of the nicest features of Symfony2 is the Request/Response paradigm for processing a HTTP request and then sending a response back to a client. At a high level, Symfony’s HttpFoundation component provides an object oriented abstraction to easily deal with HTTP requests and generate responses to send back to a client. Assuming application code correctly uses HttpFoundation, it will only interact with request variables through the Request class, as opposed to $_REQUEST, and only send output using the Response class, as opposed to an “echo”. Because of this contract, the framework as a whole makes it easy to manipulate responses before they’re sent back to a client.
A typical use case that leverages this would be logging API responses before they’re sent back to a client. As much as an API might be RESTful, at some point it’s easier to debug things when you can see the responses that clients have been receiving. OK great so how do you do it? It’s actually pretty straightforward, just create a class to receive the “kernel.terminate” event and register it as a service with the appropriate tags:
And then create the class where you want to manipulate or log the requests:
And that’s about it!
Note: Per Andras’ comment below the event has been switched to “kernel.terminate”.
Posted In: Symfony
On a few of our projects we have a few different needs to either queue items to be processed in the background or we need a single request to be able to process something in parallel. Generally we use Gearman and the GearmanBundle. Let me explain a few different situations where we’ve found it handy to have Gearman around.
Often we’ll need to do something which takes a bit more time to process such as sending out a couple thousand push notifications to resizing several images. For this example lets use sending push notifications. You could have a person sit around as each notification is sent out and hope the page doesn’t timeout, however after a certain number of notifications, not to mention a terrible user experience, this approach will fail. Enter Gearman. With Gearman you are able to basically queue the event that a user has triggered a bunch of notifications that need to be processed and sent.
What we’ve done above is sent to the Gearman server a job to be processed in the background which means we don’t have to wait for it to finish. At this point all we’ve done is queued a job on the Gearman server, Gearman itself doesn’t know how to run the actual job. For that we create a ‘worker’ which reads jobs and processes them:
The worker will consume the job and then process it as it sees fit. In this case we just loop over each user ID and send them a notification.
One one of our applications users can associate their account with multiple databases. From there we go through each database and create different reports. On some of the application screens we let users poll each of their databases and we aggregate the data and create a real time report. The problem with doing this synchronously is that you have to go to each database one by one, meaning if you have 10 databases and each one takes 1 seconds to get the data from, you have at least ten seconds the user is waiting around; this doesn’t go well when you have 20 databases and so on. Instead, we use Gearman to farm out the task of going to each database and pull the data. From there, we have the request process total up all the aggregated data and display it. Now instead of waiting 10 seconds for each database, we farm out the work to 10 workers, wait 1 second and then can do any final processing and show it to the user. In the example below for brevity we’ve just done the totaling in a controller.
What we’ve done here is created a job for each connection. This time we add them as tasks, which means we’ll wait until they’ve completed. On the worker side it is similar to except you return some data, ie `return json_encode(array(‘total’=>50000));` at the end of the the function.
What this allows us to do is to farm out the work in parallel to all the databases. Each worker runs queries on the database, computes some local data and passes it back. From there you can add it all together (if you want) and then display it to the user. With the job running in parallel the number of databases you can process is no longer limited on your request, but more on how many workers you have running in the background. The beauty with Gearman is that the workers don’t need to live on the same machine, so you could have a cluster of machines acting as ‘workers’ and be able to process more database connections in this scenario.
Anyways, Gearman has really made parallel processing and farming out work much easier. As the workers are also written in PHP, it is very easy to reuse code between the frontend and the workers. Often, we’ll start a new report without Gearman; getting logic/fixing bugs in a single request without the worker is easier. After we’re happy with how the code works, we’ll move the code we wrote into the worker and have it just return the final result.
Good luck! Feel free to drop us a line if you need any help.
Over the last few weeks, there’s been a slew of HHVM related news from the “We are the 98.5%” post from the HHVM team to the Our HHVM Roadmap from the Doctrine team. With the increasing excitement around HHVM, it’s becoming clear that the project is going to play an important role in the evolution of the PHP ecosystem. Even though it’s in it’s early stages, what influences will the HHVM project have on the PHP ecosystem as a whole?
One of the hallmarks of PHP has been its strong adherence to backwards compatibility, five year old code written to target PHP4 will generally run today on PHP5+ without any modifications. This has generally been possible because changes to PHP the language didn’t change behavior which would of broken previously working code. Because of this, many of PHP’s long standing syntax issues haven’t been fixed and changes to the standard library have been largely avoided. If HHVM emerges as an alternative runtime, some of this hesitation should be removed since if only “newer” code will run on HHVM it would be conceivable to introduce a “HHVM compat” mode into the Zend implementation which could include BC breaking syntax changes.
Just in-time compilation has been shown to dramatically increase the execution speed of interpretted programming languages and it’s one of the key benefits of the HHVM interpretter. HHVM identities “hot code” which is repeatedly executed and then compiles those blocks to native code. The result of this is that those “hot code” sections execute faster since they’re running native code instead of the interpreted op codes. As HHVM becomes more popular, I think we’ll see cross pollination of JIT into Zend similar to how Firefox adopted JIT after Google released Chrome.
Anyway, it’s still early but the emergence of HHVM as an alternative PHP runtime will definitely have a positive influence on the PHP ecosystem. From technology sharing to increased competition, the future is bright and I’m excited to see how PHP evolves in the next few years.
Posted In: PHP