Ok, so everyone has decided (and for good reason) strait SQL is of the devil. This leaves us with many methods of placing a "middle-man" in our code to separate our code from the database. I am now going to spit out all the info I have gathered in the hope someone can set me strait and tell me what I built.
An ORM (Object-relational mapping) is a series of tools (loosely or tightly integrated depends) which maps database rows to objects in the application.
In an AR (Active-Record) is a type of ORM in which a database table or view is wrapped into a class, thus an object instance is tied to a single row in the table.
Data mapping (DM) is a type of ORM that is the process of creating data element mappings between two distinct data models.
All three claim to work like this:
$user = new User();
$user->name = 'Fred';
$user->save();
Usually with a User class something like this:
class User extends Model {
// Specify the database table
protected $table = "users";
// Define your fields
protected $fields = array(
'id' => array('type' => 'int', 'primary' => true),
'name' => array('type' => 'string', 'required' => true),
'email' => array('type' => 'text', 'required' => true)
);
}
With this setup you can easily fetch rows without the need to write SQL.
// users
$users = $user->fetch(array('id' => 3));
Some AR classes actually look more like this:
$db->where('id' => 3);
$db->join('posts', 'posts.user_id = users.id');
$results = $db->get('users');
Ok, now this is where it gets hairy. Everyone and his brother seems to have a different view on what type of code falls where. While most agree that an AR or DM is a type of ORM - but sometimes the lines that tell AR's from DM's seem to smear.
I wrote a class that uses a single object ($db) in which you make calls to this object and it handles SQL creation for result saving/fetching.
//Fetch the users
$results = $db->select('id, name')->where('id > 4')->get('users');
//Set them active
while($user = $results->fetch()) {
$user->active = TRUE;
$user->save();
}
So the question is "what is it?", and why don't people agree on these terms?
It's not that straight SQL is the devil - sometimes it's pretty much required to write raw SQL to get a query to perform the way you want it to. To me, ORMs are much more about eliminating manual work than anything else (like avoiding SQL at all costs). I just don't want to have to setup all my code objects with all hand-crafted queries for every project. That's just a ridiculous amount of work and thought. Instead, ORM tools provide a nice and automated way to create data objects that would have required a lot of manual work otherwise. Now I can have automatic individual row objects that I can extend and create custom functions for, without thinking about it. I can retrieve related rows from different tables without having to hand-code that query.
It looks like your User class example is from phpDataMapper, and if so, it also has some other built-in niceties like auto table migrations so you don't have to distribute an SQL file for your table structures as well as a few helper functions and other things. All features included intended to save you time - that's the main goal.
The most important distinction between AR and DM is that an ActiveRecord (AR) row knows about it's own data store, and thus has saving/updating functions on each row object - $user->save() - The "record" is "active". With DataMapper (DM), on the other hand, each individual row does NOT know about it's own data store, by definition. The row is more of a dumb value object that can be worked with in your code. The mapper is responsible for translating the changes to that row back to the datastore - $mapper->save($user). That's the most significant difference - you will find most of the core ORM features to be the same in almost any implementation. It's just mostly a matter of how it's put together at the core architectural level.
You might as well make up the acronyms ORM, RM DM whatever ... it is all just state transferred from one medium to another and wrapped in function/semantics.
Sun Microsystems and Microsoft do it all the time with Java and C#. Let's take something simple and give it a new name! What a great idea.
If you say ORM .. everyone knows what it is, in its many guises. Your code looks like the Linq stuff though.
No magic, but alot of buzzwords and fuss IMHO.
Agreed with #Aiden Bell. But I think you are right in pointing out the differences. I use LINQ to SQL which in your definition is simply Active-Record style of ORM. For me this works great as I work on a lot of greenfield apps and start at the db to build out my classes. From there I tend to follow a Domain Driven Design approach (I know...this is a classes first concept) working with my generated classes. To me this gets me down the road quickly.
Having said this I have also worked with Entity Framework and NHybernate. Entity Framework is the UBER data mapper and NHybernate is also a data mapper but without as much complexity! I personally feel that Entity Framework has a long ways to go. If I was ever to need more complexity such as in a brownfield application where the db was fairly set in stone and I needed to get my classes to represent my application rather than my database then I would prefer to move to something more along the lines of NHybernate and its data mapping funcationality.
I think each of these tools has it's place. It is not fair to say that they are all the same as they are not. An active record is great in that it generates classes for me that directly represent my database. This works when I created the database or the database closely represents my ubiquitous terms and concepts of the application. The mapping types of orms work when I have a fixed db that doesn't make sense or clearly map to my application in which case I can encapsulate the complexity or lack there of in my database to create a rich domain via the mapping features of the ORM tool.
Related
I cant seem to find an acceptable answer to this.
There are two big things I keep seeing:
1) Don't execute queries in the controller. That is the responsibility of business or data.
2) Only select the columns that you need in a query.
My problem is that these two things kind of butt heads since what is displayed in the UI is really what determines what columns need to be queried. This in turn leads to the obvious solution of running the query in the controller, which you aren't supposed to do. Any documentation I have found googling, etc. seems to conveniently ignore this topic and pretend it isn't an issue.
Doing it in the business layer
Now if I take it the other way and query everything in the business layer then I implicitly am making all data access closely reflect the ui layer. This is more a problem with naming of query functions and classes than anything I think.
Take for example an application that has several views for displaying different info about a customer. The natural thing to do would be to name these data transfer classes the same as the view that needs them. But, the business or service layer has no knowledge of the ui layer and therefore any one of these data transfer classes could really be reused for ANY view without breaking any architecture rules. So then, what do I name all of these variations of, say "Customer", where one selects first name and last name, another might select last name and email, or first name and city, and so on. You can only name so many classes "CustomerSummary".
Entity Framework and IQueryable is great. But, what about everything else?
I understand that in entity framework I can have a data layer pass back an IQuerable whose execution is deferred and then just tell that IQueryable what fields I want. That is great. It seems to solve the problem. For .NET. The problem is, I also do PHP development. And pretty much all of the ORMs for php are designed in a way that totally defeat the purpose of using an ORM at all. And even those dont have the same ability as EF / IQueryable. So I am back to the same problem without a solution again in PHP.
Wrapping it up
So, my overall question is how do I get only the fields I need without totally stomping on all the rules of an ntier architecture? And without creating a data layer that inevitably has to be designed to reflect the layout of the UI layer?
And pretty much all of the ORMs for php are designed in a way that totally defeat the purpose of using an ORM at all.
The Doctrine PHP ORM offers lazy loading down to the property / field level. You can have everything done through proxies that will only query the database as needed. In my experience letting the ORM load the whole object once is preferable 90%+ of the time. Otherwise if you're not careful you will end up with multiple queries to the database for the same records. The extra DB chatter isn't worthwhile unless your data model is messy and your rows are very long.
Keep in mind a good ORM will also offer a built-in caching layer. Populating a whole object once and caching it is easier and more extensible then having your code keep track of which fields you need to query in various places.
So my answer is don't go nuts trying to only query the fields you need when using an ORM. If you are writing your queries by hand just in the places you need them, then only query the fields you need. But since you are talking good architectural patterns I assume you're not doing this.
Of course there are exceptions, like querying large data sets for reporting or migrations. These will require unique optimizations.
Questions
1) Don't execute queries in the controller. That is the responsibility of business or data.
How you design your application is up to you. That being said, it's always best to consider best patterns and practices. The way I design my controllers is that I pass in the data layer(IRepository) through constructor and inject that at run time.
public MyController(IRepository repo)
To query my code I simply call
repository.Where(x=> x.Prop == "whatever")
Using IQueryable creates the leaky abstraction problem. Although, it may not be a big deal but you have to be careful and mindful of how you are using your objects especially if they contain relational data. Once you query your data layer you would construct your view model in your controller action with the appropriate data required for your view.
public ActionResult MyAction(){
var data = _repository.Single(x => x.Id == 1);
var vm = new MyActionViewModel {
Name = data.Name,
Age = data.Age
};
return View();
}
If I had any queries that where complex I would create a business layer to include that logic. This would include enforcing business rules etc. In my business layer I would pass in the repository and use that.
2) Only select the columns that you need in a query.
With ORMs you usually pass back the whole object. After that you can construct your view model to include only the data you need.
My suggestion to your php problem is maybe to set up a web api for your data. It would return json data that you can then parse in whatever language you need.
Hope this helps.
The way I do it is as follows:
Have a domain object (entity, business object .. things with the same name) for Entities\Customer, that has all fields and associated logic for all of the data, that a complete instance would have. But for persistence create two separate data mappers:
Mappers\Customer for handling all of the data
Mappers\CustomerSummary for only important parts
If you only need to get customers name and phone number, you use the "summary mapper", but, when you need to examine user's profile, you have the "all data mapper". And the same separation can be really useful, when updating data too. Especially, if your "full customer" get populated from multiple tables.
// code from a method of some service layer class
$customer = new \Model\Entities\Customer;
$customer->setId($someID);
$mapper = new \Model\Mappers\CustomerSummary($this->db);
if ($needEverything) {
$mapper = new \Model\Mappers\Customer($this->db);
}
$mapper->fetch($customer);
As for, what goes where, you probably might want to read this old post.
Now that I have read an awfull lot of posts, articles, questions and answers on OOP, MVC and design patterns, I still have questions on what is the best way to build what i want to build.
My little framework is build in an MVC fashion. It uses smarty as the viewer and I have a class set up as the controller that is called from the url.
Now where I think I get lost is in the model part. I might be mixing models and classes/objects to much (or to little).
Anyway an example. When the aim is to get a list of users that reside in my database:
the application is called by e.g. "users/list" The controller then runs the function list, that opens an instance of a class "user" and requests that class to retrieve a list from the table. once returned to the controller, the controller pushes it to the viewer by assigning the result set (an array) to the template and setting the template.
The user would then click on a line in the table that would tell the controler to start "user/edit" for example - which would in return create a form and fill that with the user data for me to edit.
so far so good.
right now i have all of that combined in one user class - so that class would have a function create, getMeAListOfUsers, update etc and properties like hairType and noseSize.
But proper oop design would want me to seperate "user" (with properties like, login name, big nose, curly hair) from "getme a list of users" what would feel more like a "user manager class".
If I would implement a user manager class, how should that look like then? should it be an object (can't really compare it to a real world thing) or should it be an class with just public functions so that it more or less looks like a set of functions.
Should it return an array of found records (like: array([0]=>array("firstname"=>"dirk", "lastname"=>"diggler")) or should it return an array of objects.
All of that is still a bit confusing to me, and I wonder if anyone can give me a little insight on how to do approach this the best way.
The level of abstraction you need for your processing and data (Business Logic) depends on your needs. For example for an application with Transaction Scripts (which probably is the case with your design), the class you describe that fetches and updates the data from the database sounds valid to me.
You can generalize things a bit more by using a Table Data Gateway, Row Data Gateway or Active Record even.
If you get the feeling that you then duplicate a lot of code in your transaction scripts, you might want to create your own Domain Model with a Data Mapper. However, I would not just blindly do this from the beginning because this needs much more code to get started. Also it's not wise to write a Data Mapper on your own but to use an existing component for that. Doctrine is such a component in PHP.
Another existing ORM (Object Relational Mapper) component is Propel which provides Active Records.
If you're just looking for a quick way to query your database, you might find NotORM inspiring.
You can find the Patterns listed in italics in
http://martinfowler.com/eaaCatalog/index.html
which lists all patterns in the book Patterns of Enterprise Application Architecture.
I'm not an expert at this but have recently done pretty much exactly the same thing. The way I set it up is that I have one class for several rows (Users) and one class for one row (User). The "several rows class" is basically just a collection of (static) functions and they are used to retrieve row(s) from a table, like so:
$fiveLatestUsers = Users::getByDate(5);
And that returns an array of User objects. Each User object then has methods for retrieving the fields in the table (like $user->getUsername() or $user->getEmail() etc). I used to just return an associative array but then you run into occasions where you want to modify the data before it is returned and that's where having a class with methods for each field makes a lot of sense.
Edit: The User object also have methods for updating and deleting the current row;
$user->setUsername('Gandalf');
$user->save();
$user->delete();
Another alternative to Doctrine and Propel is PHP Activerecords.
Doctrine and Propel are really mighty beasts. If you are doing a smaller project, I think you are better off with something lighter.
Also, when talking about third-party solutions there are a lot of MVC frameworks for PHP like: Kohana, Codeigniter, CakePHP, Zend (of course)...
All of them have their own ORM implementations, usually lighter alternatives.
For Kohana framework there is also Auto modeler which is supposedly very lightweight.
Personally I'm using Doctrine, but its a huge project. If I was doing something smaller I'd sooner go with a lighter alternative.
I am working on extending an existing PHP application. Unfortunately for me, the existing app is a mess. It's all spaghetti code with raw mysql_* calls. Groan. No way that I am going to do that in the parts that I am extending.
So, I am looking for a simple ORM of DBAL that I can easily drop in and start using. Desired features:
It must work on an existing database schema. Preferably with minimal or no additional configuration. The existing database schema is the same quality as the existing PHP code (no sensible naming conventions, not normalised, etc.). I don't want to spend days converting the database schema manually into annotated object properties a la Doctrine 2.
It must be able to work alongside the existing raw mysql_* queries. I have no idea how hydrating ORMs like Doctrine 2 or Propel behave when scripts are manually manipulating the data in the database behind their backs, but I assume it's not pretty.
It must run on PHP 5.2.x. I'd love to use PHP 5.3 but I have zero interest in going over the existing 125K lines of spaghetti code mess to make sure it runs on PHP 5.3.
Relationships not required. In the few places I need to get to relational data, I'll be happy to call an extra find() or query() or whatever myself.
Bonus points if it has some trigger support (e.g. beforeSave, afterSave). Not a requirement, but just nice to have.
Edit: Someone put me out of my misery. I just found out that the 125K lines of spaghetti code also changes the database schema. E.g, add an extra option somewhere and a whole slew of ALTER TABLE statements start flying. I could probably fill a year's worth of TheDailyWTF with this codebase. So, one more requirement:
Must be able to cope with a changing database schema automatically (e.g. adding columns).
I have been looking at a few solutions, but I am unsure how well they would work given the requirements. Doctrine 2, RedBeanPhp and the like all require PHP 5.3, so they are out. There's a legacy version of RedBeanPhp for PHP 5.2.x but I don't know if it would work with a messy, existing database schema. NotORM looks okay for getting data out but I don't know if it can be configured for the existing database schema, and how you can easily put data back into the database.
Ideally I would like something simple. E.g:
$user = User::find($id);
$user->name = 'John Woo';
$user->save();
Or:
$articles = ORM::find('article')->where('date' => '2010-01-01');
foreach ($articles as $article) {
echo $article->name;
}
Any tips or even alternative solutions are welcome!
I use...
http://github.com/j4mie/idiorm/
it has an active record implementation too in the form of Paris.
With regard to your edit. Idiorm copes with changing schemas and the syntax almost exactly matches the type you want in your question.
How well did you look into Doctrine? I am using Doctrine 1.2 for these kind of things. Quite easy to setup, allows you to start off with an existing schema. It automatically figures out the relations between tables that have foreign key constraints.
It has extensive trigger and behaviour support, so the bonus points can be spent as well, and it has relational support as well, so your additional queries are not necessary. It has beautiful lazy loading, and it comes with a flexible query language (called DQL) that allows you to do almost exactly the same stuff that you can do in SQL in only a fraction of the effort.
Your example will look like this:
/* To just find one user */
$user = Doctrine::getTable('User')->findOneById($id);
/* Alternative - illustrating DQL */
$user = Doctrine_Query::create()
->from('User u')
->where('u.id = ?',array($id))
->fetchOne();
$user->name = 'John Woo';
$user->save();
It must be able to work alongside the existing raw mysql_* queries. I have no idea how hydrating ORMs like Doctrine 2 or Propel behave when scripts are manually manipulating the data in the database behind their backs, but I assume it's not pretty.
Well, that is technically impossible to auto-manage; a SQL database is simply not pushing back stuff to your ORM, so to update stuff that was changed in the background, you need to perform an additional query one way or the other. Fortunately, Doctrine makes this very easy for you:
/* #var User $user */
/* Change a user using some raw mysql queries in my spaghetti function */
$this->feedSpaghetti($user->id);
/* Reload changes from database */
$user->refresh();
I have a table called Cat, and an PHP class called Cat. Now I want to make a CatDataMapper class, so that Cat extends CatDataMapper.
I want that Data Mapper class to provide basic functionality for doing ORM, and for creating, editing and deleting Cat.
For that purpose, maybe someone who knows this pattern very well could give me some helpful advice? I feel it would be a little bit too simple to just provide some functions like update(), delete(), save().
I realize a Data Mapper has this problem: First you create the instance of Cat, then initialize all the variables like name, furColor, eyeColor, purrSound, meowSound, attendants, etc.. and after everything is set up, you call the save() function which is inherited from CatDataMapper. This was simple ;)
But now, the real problem: You query the database for cats and get back a plain boring result set with lots of cats data.
PDO features some ORM capability to create Cat instances. Lets say I use that, or lets even say I have a mapDataset() function that takes an associative array. However, as soon as I got my Cat object from a data set, I have redundant data. At the same time, twenty users could pick up the same cat data from the database and edit the cat object, i.e. rename the cat, and save() it, while another user still things about setting another furColor. When all of them save their edits, everything is messed up.
Err... ok, to keep this question really short: What's good practice here?
From DataMapper in PoEA
The Data Mapper is a layer of software
that separates the in-memory objects
from the database. Its responsibility
is to transfer data between the two
and also to isolate them from each
other. With Data Mapper the in-memory
objects needn't know even that there's
a database present; they need no SQL
interface code, and certainly no
knowledge of the database schema. (The
database schema is always ignorant of
the objects that use it.) Since it's a
form of Mapper (473), Data Mapper
itself is even unknown to the domain
layer.
Thus, a Cat should not extend CatDataMapper because that would create an is-a relationship and tie the Cat to the Persistence layer. If you want to be able to handle persistence from your Cats in this way, look into ActiveRecord or any of the other Data Source Architectural Patterns.
You usually use a DataMapper when using a Domain Model. A simple DataMapper would just map a database table to an equivalent in-memory class on a field-to-field basis. However, when the need for a DataMapper arises, you usually won't have such simple relationships. Tables will not map 1:1 to your objects. Instead multiple tables could form into one Object Aggregate and viceversa. Consequently, implementing just CRUD methods, can easily become quite a challenge.
Apart from that, it is one of the more complicated patterns (covers 15 pages in PoEA), often used in combination with the Repository pattern among others. Look into the related questions column on the right side of this page for similar questions.
As for your question about multiple users editing the same Cat, that's a common problem called Concurrency. One solution to that would be locking the row, while someone edits it. But like everything, this can lead to other issues.
If you rely on ORM's like Doctrine or Propel, the basic principle is to create a static class that would get the actual data from the database, (for instance Propel would create CatPeer), and the results retrieved by the Peer class would then be "hydrated" into Cat objects.
The hydration process is the process of converting a "plain boring" MySQL result set into nice objects having getters and setters.
So for a retrieve you'd use something like CatPeer::doSelect(). Then for a new object you'd first instantiate it (or retrieve and instance from the DB):
$cat = new Cat();
The insertion would be as simple as doing: $cat->save(); That'd be equivalent to an insert (or an update if the object already exists in the db... The ORM should know how to do the difference between new and existing objects by using, for instance, the presence ort absence of a primary key).
Implementing a Data Mapper is very hard in PHP < 5.3, since you cannot read/write protected/private fields. You have a few choices when loading and saving the objects:
Use some kind of workaround, like serializing the object, modifying it's string representation, and bringing it back with unserialize
Make all the fields public
Keep them private/protected, and write mutators/accessors for each of them
The first method has the possibility of breaking with a new release, and is very crude hack, the second one is considered a (very) bad practice.
The third option is also considered bad practice, since you should not provide getters/setters for all of your fields, only the ones that need it. Your model gets "damaged" from a pure DDD (domain driven design) perspective, since it contains methods that are only needed because of the persistence mechanism.
It also means that now you have to describe another mapping for the fields -> setter methods, next to the fields -> table columns.
PHP 5.3 introduces the ability to access/change all types of fields, by using reflection:
http://hu2.php.net/manual/en/reflectionproperty.setaccessible.php
With this, you can achieve a true data mapper, because the need to provide mutators for all of the fields has ceased.
PDO features some ORM capability to
create Cat instances. Lets say I use
that, or lets even say I have a
mapDataset() function that takes an
associative array. However, as soon as
I got my Cat object from a data set, I
have redundant data. At the same time,
twenty users could pick up the same
cat data from the database and edit
the cat object, i.e. rename the cat,
and save() it, while another user
still things about setting another
furColor. When all of them save their
edits, everything is messed up.
In order to keep track of the state of data typically and IdentityMap and/or a UnitOfWork would be used keep track of all teh different operations on mapped entities... and the end of the request cycle al the operations would then be performed.
keep the answer short:
You have an instance of Cat. (Maybe it extends CatDbMapper, or Cat3rdpartycatstoreMapper)
You call:
$cats = $cat_model->getBlueEyedCats();
//then you get an array of Cat objects, in the $cats array
Don't know what do you use, you might take a look at some php framework to the better understanding.
I've been reading several articles on MVC and had a few questions I was hoping someone could possibly assist me in answering.
Firstly if MODEL is a representation of the data and a means in which to manipulate that data, then a Data Access Object (DAO) with a certain level of abstraction using a common interface should be sufficient for most task should it not?
To further elaborate on this point, say most of my development is done with MySQL as the underlying storage mechanism for my data, if I avoided vendor specific functions -- (i.e. UNIX_TIMESTAMP) -- in the construction of my SQL statements and used a abstract DB object that has a common interface moving between MySQL and maybe PostgreSQL, or MySQL and SQLite should be a simple process.
Here's what I'm getting at some task, are handled by a single CONTROLLER -- (i.e. UserRegistration) and rather that creating a MODEL for that task, I can get an instance of the db object -- (i.e. DB::getInstance()) -- then make the necessary db calls to INSERT a new user. Why with such a simple task would I create a new MODEL?
In some of the examples I've seen a MODEL is created, and within that MODEL there's a SELECT statement that fetches x number of orders from the order table and returns an array. Why do this, if in your CONTROLLER your creating another loop to iterate over that array and assign it to the VIEW; ex. 1?
ex. 1: foreach ($list as $order) { $this->view->set('order', $order); }
I guess one could modify the return so something like this is possibly; ex. 2.
ex. 2: while ($order = $this->model->getOrders(10)) { $this->view->set('order', $order); }
I guess my argument is that why create a model when you can simply make the necessary db calls from within your CONTROLLER, assuming your using a DB object with common interface to access your data, as I suspect most of websites are using. Yes I don't expect this is practical for all task, but again when most of what's being done is simple enough to not necessarily warrant a separate MODEL.
As it stands right now a user makes a request 'www.mysite.com/Controller/action/args1/args2', the front controller (I call it router) passes off to Controller (class) and within that controller a certain action (method) is called and from there the appropriate VIEW is created and then output.
So I guess you're wondering whether the added complexity of a model layer -on top- of a Database Access Object is the way you want to go. In my experience, simplicity trumps any other concern, so I would suggest that if you see a clear situation where it's simpler to completely go without a Model and have the data access occur in the equivalent of a controller, then you should go with that.
However, there are still other potential benefits to having an MVC separation:
No SQL at all in the controller: Maybe you decide to gather your data from a source other than a database (an array in the session? A mock object for testing? a file? just something else), or your database schema changes and you have to look for all the places that your code has to change, you could look through just the models.
Seperation of skillsets: Maybe someone on your team is great at complex SQL queries, but not great at dealing with the php side. Then the more separated the code is, the more people can play to their strengths (even more so when it comes to the html/css/javascript side of things).
Conceptual object that represents a block of data: As Steven said, there's a difference in the benefits you get from being database agnostic (so you can switch between mysql and postgresql if need be) and being schema agnostic (so you have an object full of data that fits together well, even if it came from different relational tables). When you have a model that represents a good block of data, you should be able to reuse that model in more than one place (e.g. a person model could be used in logins and when displaying a personnel list).
I certainly think that the ideals of separation of the tasks of MVC are very useful. But over time I've come to think that alternate styles, like keeping that MVC-like separation with a functional programming style, may be easier to deal with in php than a full blown OOP MVC system.
I found this great article that addressed most of my questions. In case anyone else had similar questions or is interested in reading this article. You can find it here http://blog.astrumfutura.com/archives/373-The-M-in-MVC-Why-Models-are-Misunderstood-and-Unappreciated.html.
The idea behind MVC is to have a clean separation between your logic. So your view is just your output, and your controller is a way of interacting with your models and using your models to get the necessary data to give to the necessary views. But all the work of actually getting data will go on your model.
If you think of your User model as an actual person and not a piece of data. If you want to know that persons name is it easier to call up a central office on the phone (the database) and request the name or to just ask the person, "what is your name?" That's one of the ideas behind the model. In a most simplistic way you can view your models as real living things and the methods you attach to them allow your controllers to ask those living things a series of questions (IE - can you view this page? are you logged in? what type of image are you? are you published? when were you last modified?). Your controller should be dumb and your model should be smart.
The other idea is to keep your SQL work in one central location, in this case your models. So that you don't have errant SQL floating around your controllers and (worst case scenario) your views.