A multi-engine ORM / ODM for the PHP Fat-Free Framework



A general purpose Data-Mapper for the PHP Fat-Free Framework

Cortex is a multi-engine ActiveRecord ORM / ODM that offers easy object persistence. Some of its main features are:

  • It handles SQL, Jig and MongoDB database engines
  • Write queries in well-known SQL Syntax, they can be translated to Jig and Mongo
  • Easy prototyping with the SQL Fluid Mode, which makes your RDBMS schema-less and adds new table columns automatically
  • Support for models and collections
  • Relationships: link multiple models together to one-to-one, one-to-many and many-to-many associations
  • smart-loading of related models (intelligent lazy and eager-loading without configuration)
  • useful methods for nested filtering through relations
  • automatically setup the model tables from installer or migrate scripts by defined schemes
  • lots of event handlers and custom setter / getter preprocessors for all fields
  • define default values and nullable fields for NoSQL

With Cortex you can create generic apps, that work with any DB of the users choice, no matter if it's Postgre, MongoDB or even none. You can also mash-up multiple engines, use them simultaneous or link models of different DB engines together (in development).

It's great for fast and easy data abstraction and offers a bunch of useful filter possibilities.

Table of Contents

  1. Quick Start
  2. SQL Fluid Mode
  3. Cortex Models
    1. Configuration
      1. Additional Data Types
      2. Alternative Configuration
      3. Blacklist Fields
    2. Setup
    3. Setdown
  4. Relations
    1. Setup the linkage
    2. Working with Relations
  5. Event Handlers
    1. Custom Field Handler
  6. Filter Query Syntax
    1. Operators
    2. Options Array
  7. Advanced Filter Techniques
    1. has
    2. filter
  8. Insight into aggregation
    1. Counting Relations
    2. Virtual Fields
  9. Mapper API
  10. Collection API
  11. Additional notes
  12. Known Issues
  13. Roadmap
  14. License

Quick Start

System Requirements

Cortex requires at least Fat-Free v3.4 and PHP 5.3.5. For some of the features, it also requires the F3 SQL Schema Plugin.


To install Cortex, just copy the /lib/db/cortex.php file into your libs. For the SQL Schema Plugin, copy lib/db/sql/schema.php as well.

If you use composer, all you need is to run composer require ikkez/f3-cortex:1.* and it'll include Cortex and its dependencies into your package.

Setup a DB

Create a DB object of your choice. You can choose between SQL, Jig or MongoDB. Here are some examples:

// SQL - MySQL
$db = new \DB\SQL('mysql:host=localhost;port=3306;dbname=MyAppDB','user','pw');
// SQL - SQlite
$db = new \DB\SQL('sqlite:db/database.sqlite');
// SQL - PostgreSQL 
$db = new \DB\SQL('pgsql:host=localhost;dbname=MyAppDB','user','pw');
// SQL - SQL Server 
$db = new \DB\SQL('sqlsrv:SERVER=LOCALHOST\SQLEXPRESS2012;Database=MyAppDB','user','pw');
// Jig
$db = new \DB\Jig('data/');
// Mongo
$db = new \DB\Mongo('mongodb://localhost:27017','testdb');

Let's get it rolling

If you are familiar with F3's own Data-Mappers, you already know all about the basic CRUD operations you can do with Cortex too. It implements the ActiveRecord Cursor Class with all its methods. So you can use Cortex as a drop-in replacement of the F3 mappers and it's basic usage will stay that simple:

$user = new \DB\Cortex($db, 'users');
$user->name = 'Jack Ripper';
$user->mail = 'jacky@email.com';

Alright, that wasn't very impressive. But now let's find this guy again:

$user->load(array('mail = ?','jacky@email.com'));
echo $user->name; // shouts out: Jack Ripper

As you can see, the filter array is pure SQL syntax, that you would already use with the F3 SQL Mapper. In Cortex this will work with all 3 DB engines. Here is a little more complex where criteria:

$user->load(array('name like ? AND (deleted = 0 OR rights > ?)', 'Jack%', 3));

No need for complex criteria objects or confusing Mongo where-array constructions. It's just as simple as you're used to. Using a Jig DB will automatically translate that query into the appropriate Jig filter:

Array (
    [0] => (isset(@name) && preg_match(?,@name)) AND ( (isset(@deleted) && (@deleted = 0)) OR (isset(@rights) && @rights > ?) )
    [1] => /^Jack/
    [2] => 3

And for MongoDB it translates into this:

Array (
    [$and] => Array (
        [0] => Array (
            [name] => MongoRegex Object (
                    [regex] => ^Jack
        )   )
        [1] => Array (
            [$or] => Array (
                [0] => Array (
                    [deleted] => 0
                [1] => Array (
                    [rights] => Array (
                        [$gt] => 3
)   )   )   )   )   )

You can use all the fancy methods from Cursor, like load, find, cast, next or prev. More about filtering and all the other methods a little later.

SQL Fluid Mode

When you are prototyping some new objects or just don't want to bother with a table schema, while using Cortex along with a SQL DB backend, you can enable the SQL Fluid Mode. This way Cortex will create all necessary tables and columns automatically, so you can focus on writing your application code. It will try to guess the right data type, based on the given sample data. To enable the fluid mode, just pass a third argument to the object's constructor:

$user = new \DB\Cortex($db, 'users', TRUE);
$user->name = 'John';            // varchar(256)
$user->age = 25;                 // integer
$user->active = true;            // boolean|tinyint
$user->lastlogin = '2013-08-28'; // date

This way it also creates data types of datetime, float, text (when strlen > 255) and double.

Notice: The fluid mode disables the caching of the underlying SQL table schema. This could slightly impact on performance, so keep in mind to deactivate this when you're done. Furthermore keep in mind that you are not able to load or find any records from tables that are not existing - consider to create and save some sample data first, so Cortex can create the tables.

Cortex Models

Using the Cortex class directly is easy for some CRUD operations, but to enable some more advanced features, you'll need to wrap Cortex into a Model class like this:

// file at app/model/user.php
namespace Model;

class User extends \DB\Cortex {
    $db = 'AppDB1',     // F3 hive key of a valid DB object
    $table = 'users';   // the DB table to work on

Now you can create your mapper object that easy:

$user = new \Model\Users();

This is the minimal model configuration. Cortex needs at least a working DB object. You can also pass this through the constructor (new \Model\Users($db);) and drop it in the setup. $db must be a string of a hive key, where the DB object is stored OR the DB object itself. If no $table is provided, Cortex will use the class name as table name.


Cortex does not need that much configuration. But at least it would be useful to have setup the field configuration. This way it's able to follow a defined schema of your data entity and enables you to use some auto-installation routines (see setup). It looks like this:

// file at app/model/user.php
namespace Model;

class User extends \DB\Cortex {

    $fieldConf = array(
        'name' => array(
            'type' => 'VARCHAR256',
            'nullable' => false,
        'mail' => array(
            'type' => 'VARCHAR128'
        'website' => array(
            'type' => 'VARCHAR256'
        'rights_level' => array(
            'type' => 'TINYINT',
            'default' => 3,
    $db = 'DB',
    $table = 'users',
    $fluid = true,      // triggers the SQL Fluid Mode, default: false
    $primary = 'uid',   // name of the primary key (auto-created), default: id
    $ttl = 120,         // caching time of field schema, default: 60
    $rel_ttl = 30;      // caching time of all relations, default: 0

In the $fieldConf array, you can set data types (type), nullable flags and default values for your columns. Doing so enables you to install new Models into your SQL database, adds some nullable validation checks and the ability for defaults to the NoSQL engines (Jig and Mongo). This makes your models easy interchangeable along various databases using this loosely coupled field definitions.

You don't need to configure all fields this way. If you are working on existing tables, the underlying SQL Mapper exposes the existing table schema. So if you don't need that install feature and your tables are already existing, then you can just skip the configuration for those fields, or just setup some of them (i.e. for fields with relations).

Because column data types are currently only needed for setting up the tables in SQL, it follows that SQL Data Types Table from the required SQL Schema Plugin.

You may also extend this config array to have a place for own validation rules or whatever you like.

The data type values are defined constants from the Schema Plugin. If you'd like to use some auto-completion in your IDE to find the right values, type in the longer path to the constants:

'type' => \DB\SQL\Schema::DT_TIMESTAMP,
'default' => \DB\SQL\Schema::DF_CURRENT_TIMESTAMP,

Additional Data Types

Cortex comes with two own data types for handling array values in fields. Even when Jig and Mongo support them naturally, most SQL engines do not yet. Therefore Cortex introduces:


In example:

'colors' => array(
    'type' => self::DT_JSON
    // or
    'type' => 'JSON'

Now you're able to save array data in your model field, which is json_encoded into a text field behind the scene (of cause only when using a SQL backend).

$mapper->colors = array('red','blue','green');

Alternative Configuration

In case you need some more flexible configuration and don't want to hard-wire it, you can overload the Model class constructor to load its config from an ini-file or elsewhere. In example:

class User extends \DB\Cortex {

    function __construct() {
        // get the DB from elsewhere
        $this->db = \Registry::get('DB');
        $f3 = \Base::instance();
        // load fields from .ini file
        foreach ($f3->get('usermodel') as $key => $val)
            $this->{$key} = $val;

And in your usermodel.ini file:

usermodel.table = users
usermodel.fieldConf.name.type = VARCHAR256
usermodel.fieldConf.name.nullable = FALSE
usermodel.fieldConf.mail.type = VARCHAR128
usermodel.fieldConf.website.type = VARCHAR256
usermodel.fieldConf.rights_level.type = TINYINT
usermodel.fieldConf.rights_level.default = 3

Blacklist Fields

The field() method can be used to return the available fields on the current model. If called with one simple array argument like $news->fields(array('title'));, it'll apply the provided elements as a whitelist to the whole mapper. For the rest of its lifetime it'll only hydrate the fields you permitted here. If called with a 2nd argument like $news->fields(array('author'),true);, the array is going to be uses as a blacklist instead, and restrict the access to the provided fields. You can also define deep nested fields using a dot as separator: $news->fields(array('tags.title')); will only hydrate the tag title in your news model and wont load or save any other field that exists in your tag model. Subsequent calls to the fields method will merge with all already defined blacklist/whitelist definitions.

Set up

This method tries to create the SQL DB tables you need to run your Cortex object. It also adds just missing fields to already existing tables.

If your Model has a valid field configuration, you are able to run this installation method:


If you have no model class you need to provide all parameters the setup method has.

$fields = array(
    'name' => array('type' => \DB\SQL\Schema::DT_TEXT),
    'mail' => array('type' => \DB\SQL\Schema::DT_INT4),
    'website' => array('type' => \DB\SQL\Schema::DT_INT4),
\DB\Cortex::setup($db, 'users', $fields);

Set down

This method completely removes the specified table from the used database. So handle with care.

// With Model class

// Without Model class
\DB\Cortex::setdown($db, 'users');


With Cortex you can create associations between multiple Models. By linking them together, you can create all common relationships you need for smart and easy persistence.

Setup the linkage

To make relations work, you need to use a model class with field configuration. Cortex offers the following types of associations, that mostly must be defined in both classes of a relation:

Type Model A Direction Model B
1:1 belongs-to-one <- -> has-one
1:m belongs-to-one <- -> has-many
m:m has-many <- -> has-many
m:m belongs-to-many --->

This is how a field config looks with a relation:

Cortex Rel 1

This creates an aggregation between Author and News, so

One News belongs to one Author.

One Author has written many News.


As a side note: belongs-to-* definitions will create a new column in that table, that is used to save the id of the counterpart model (foreign key field). Whereas has-* definitions are just virtual fields which are going to query the linked models by their own id (the inverse way). This leads us to the following configuration schema:

For belongs-to-one and belongs-to-many

'realTableField' => array(
    'relationType' => '\Namespace\ClassName',

Defining a foreign key for belongs-to-* is optional. The default way is to use the identifier field. For SQL engines this is either the default primary key id or the custom primary key that can be set with the $primary class property. NoSQL engines will use _id. If you need to define another non-primary field to join with, use array('\Namespace\ClassName','cKey').

For has-one and has-many

'virtualField' => array(
    'relationType' => array('\Namespace\ClassName','foreignKey'),

The foreign key is the field name you used in the counterpart model to define the belongs-to-one connection.

There is one special case for many-to-many relations: here you use a has-many type on both models, which implies that there must be a 3rd pivot table that will be used for keeping the foreign keys that binds everything together. Usually Cortex will auto-create that table upon setup method, using an auto-generated table name. If you like to use a custom name for that joining-table, add a 3rd parameter to the config array of both models, i.e.:

'tags' => array(
    'has-many' => array('\Model\Tag','news','news_tags'),

Working with Relations

Okay finally we come to the cool part. When configuration is done and setup executed, you're ready to use the following make-my-dev-life-easier methods.


To save a relation:

$author = new \AuthorModel();
$author->load(array('name = ?','Johnny English'));

$profile = new ProfileModel();
$profile->status_message = 'Hello World';
$profile->author = $author; 
// OR you can also just put in the id instead of the whole object here
$profile->author = '521eedf5ec4df'; 

and to load it again:

echo $author->profile->status_message; // Hello World

echo $profile->author->name; // Johnny English

one-to-many, many-to-one

Save an author to a news.

$author->load(array('name = ?','Johnny English'));
$news->load(array('_id = ?','521eedf5ed779'));
$news->author = $author; // set the object or the raw id

now you can get:

echo $news->author->name; // 'Johnny English'

The field author now holds the whole mapper object of the AuthorModel. So you can also update, delete or cast it.

The getting all news by an author in the counterpart looks like this:

$author->load(array('_id = ?', 42));
$author->news; // is now an array of NewsModel objects

// if you like to cast them all you can use
$allNewsByAuthorX = $author->castField('news'); // is now a multi-dimensional array

many-to-many, bidirectional

When both models of a relation has a has-many configuration on their linkage fields, Cortex create a new reference table in setup, where the foreign keys of both models are linked together. This way you can query model A for related models of B and vice versa.

To save many collections to a model you've got several ways:

$news->load(array('_id = ?',1));

// array of IDs from TagModel
$news->tags = array(12, 5);
// OR a split-able string
$news->tags = '12;5;3;9'; // delimiter: [,;|]
// OR an array of single mapper objects
$news->tags = array($tag,$tag2,$tag3);
// OR a hydrated mapper that may contain multiple results
$news->tags = $tag->load(array('_id != ?',42));

// you can also add a single tag to your existing tags
$news->tags[] = $tag->load(array('_id = ?',23));


Now you can get all tags of a news entry:

$news->load(array('_id = ?',1));
echo $news->tags[0]['title']; // Web Design
echo $news->tags[1]['title']; // Responsive

And all news that are tagged with Responsive:

$tags->load(array('title = ?','Responsive'));
echo $tags->news[0]->title; // '10 Responsive Images Plugins'

This example shows the inverse way of querying (using the TagModel to find the corresponding news). Of cause the can also use a more direct way that offers even more possibilities, therefore check the has() method.

many-to-many, unidirectional

You can use a belongs-to-many field config to define a one-way m:m relation. This is a special type for many-to-many as it will not use a 3rd table for reference and just puts a list of IDs into the table field, as commonly practiced in NoSQL solutions. This is an unidirectional binding, because the counterpart wont know anything about its relation and it's harder to query the reserve way, but it's still a lightweight and useful solution in some cases.

Saving works the same way like the other m:m type described above

$news->tags = array(4,7); // IDs of TagModel

and get them back:

$news->load(array('_id = ?', 77));
echo $news->tags[0]->title; // Web Design
echo $news->tags[1]->title; // Responsive

Event Handlers

Cortex inherits all setters form the Cursor Event Handlers and additionally adds custom field handlers (setter/getter). These can be used to execute some extra code right before or after doing something. This could be useful for validation directly in your Model, or some extended save, load or delete cascades.

The following events are supported:

  • onload
  • onset
  • onget
  • beforeerase
  • aftererase
  • beforeinsert
  • afterinsert
  • beforeupdate
  • afterupdate

You can setup own handlers to this events like this:

    // custom code
// or 

You can provide anything that is accepted by the Base->call method as handler function. Notice to use the $self->set('field','val') instead of $self->field=val, if you define a handler within a child class of Cortex (i.e. an extended __construct in your own model class).

If any before* event returns a false result, the action that is going to be performed will be aborted, and the after* events are skipped.

Custom Field Handler

The onset and onget events have slightly different parameters:

$mapper->onset('field',function($self, $val){
    return md5($val);

You can also define these custom field preprocessors as a method within the class, named set_* or get_*, where * is the name of your field. In example:

class User extends \DB\Cortex {
    // [...]

    // validate email address
    public function set_mail($value) {
        if (\Audit::instance()->email($value) == false) {
            // no valid email address
            // throw exception or set an error var and display a flash message
            $value = null;
        return $value;
    // hash a password before saving
    public function set_password($value) {
        return \Bcrypt::instance()->hash($value);
    public function get_name($value) {
        return ucfirst($value);

So setting these fields in your Model, like:

$user->password = 'secret';
$user->mail = 'foo@bar.com';

will now trigger your custom setters, doing anything you like.

Filter Query Syntax

Well basically the $filter syntax for writing cortex queries is simple SQL. But there are some slightly modifications you should have read in these additional notes.


These common filter operators are supported:

  • relational operators: <, >, <=, >=, ==, =, !=, <>
  • search operators: LIKE,NOT LIKE, IN, NOT IN (not case-sensitive)
  • logical operators: (, ), AND, OR, &&, ||

When using comparison operators, you can compare your table fields against simple values like array('foo = 1') or other fields like array('foo < bar'). Therefore you can also use placeholders with positional bind-parameters like array('foo = ?',1) or named parameters array('foo = :bar',':bar'=>1). You may also mix them together in one query.

The LIKE operator works the same way like the F3 SQL search syntax. The search wildcard (%) belongs into the bind value, not the query string.

The IN operator usually needs multiple placeholders in raw PDO (like foo IN (?,?,?)). In Cortex queries you simply use an array for this: array('foo IN ?',array(1,2,3)), the QueryParser does the rest.


The $options array for load operations respects the following keys:

  • order
  • limit
  • offset

Use DESC and ASC flags for sorting fields, just like in SQL. Additional group settings are currently just bypassed to the underlying mapper and should work dependant on the selected db engine. Any unification on that might be handled in a future version.

Advanced Filter Techniques

When your application reaches the point where all basic CRUD operations are working, you probably need some more control about finding your records based on conditions for relations. Here comes the has() and filter() methods into play:


The has method adds some conditions to a related field, that must be fulfilled in addition, when the next find() or load() method of its parent is fired. So this is meant for limiting the main results.

In other words: Let's find all news records that are tagged by "Responsive".

$news->has('tags', array('title = ?','Responsive'));
$results = $news->find();
echo $results[0]->title; // '10 Responsive Images Plugins'

Of cause you can also use the inverse way of querying, using the TagModel, load them by title and access the shared $tags->news property to find your records. The advantage of the "has" method is that you can also add a condition to the parent as well. This way you could edit the load line into something like this: $news->find(array('published = ?', 1));. Now you can limit your results based on two different models - you only load published news which were tagged "Responsive".

You can also add multiple has-conditions to different relations:

$news->has('tags', array('title = ?','Responsive'));
$news->has('author', array('username = ?','ikkez'));
$results = $news->find(array('published = ?', 1), array('limit'=>3, 'order'=>'date DESC'));

Now you only load the last 3 published news written by me, which were tagged "Responsive", sorted by release date. ;)

If you like, you can also call them in a fluent style: $news->has(...)->load(...);.


The filter method is meant for limiting the results of relations. In example: load author x and only his news from 2014.

$author->filter('news', array('date > ?','2014-01-01'));
$author->load(array('username = ?', 'ikkez'));

The same way like the has() method does, you can add multiple filter conditions. You can mix filter and has conditions too. Once a load or find function is executed, the filter (and has) conditions are cleared for the next upcoming query.

Filter conditions are currently not inherited. That means if you recursively access the fields of a relation ($author->news[0]->author->news) they get not filtered, but fully lazy loaded again.


It is also possible to filter deep nested relations using the . dot style syntax. The following example finds all authors and only loads its news that are tagged with "Responsive":

$author->filter('news.tags', array('title = ?','Responsive'));

The same applies for the has filter. The next example is similar to the previous one, but this time, instead of finding all authors, it only returns authors that have written a news entry that was tagged with "Responsive":

$author->has('news.tags', array('title = ?','Responsive'));

Notice: These nested filter techniques are still experimental, so please handle with care and test your application well.

Insight into aggregation

Cortex comes with some handy shortcuts that could be used for essential field aggregation.

counting relations

Sometimes you need to know how many relations a record has - i.e. for some stats or sorting for top 10 list views.

Therefore have a look at the countRel($key) method. You can call this to add a new virtual field to the resulting records that counts the related records on has-many fields.

// find all tags with the sum of all news that used the tag, ordered by the top occurring tags first.
$tag = new \Model\Tag();
$result = $tag->find(null,array('order'=>'count_news DESC, title'))

The new field that is going to be added to the record is named like count_{$key}. As you can see, you can also use that field for additional sorting of your results. You can also combine this with the has() and filter() methods. Notice that countRel() only applies to the next called find() operation. Currently, you cannot use the virtual count field in your $filter query.

Virtual fields

Cortex has some abilities for own custom virtual fields. These might be useful to add additional fields that may contain data that is not stored in the real db table or computes its value out of other fields or functions, similar to the custom field setters and getters.

// just set a simple value
$user->virtual('is_online', TRUE);
// or use a callback function
$user->virtual('full_name', function($this) {
    return $this->name.' '.$this->surname;

You can also use this to count or sum fields together and even reorder your collection on this fields using $collection->orderBy('foo DESC, bar ASC'). Keep in mind that these virtual fields only applies to your final received collection - you cannot use these fields in your filter query or sort condition before the actual find. But if you use a SQL engine, you can use the underlying mapper abilities of virtual adhoc fields - just set $mapper->newField = 'SQL EXPRESSION'; before any load or find operation is made.

Mapper API


DB object

Can be an object of \DB\SQL, \DB\Jig or \DB\Mongo, OR a string containing a HIVE key where the actual database object is stored at.


table to work with, string

If the table is not set, Cortex will use the strtolower(get_class($this)) as table name.


trigger SQL fluid schema mode, boolean = false


field configuration, array

The array scheme is:

protected $fieldConf = array {
    'fieldName' = array(
        'type' => string
        'nullable' => bool
        'default' => mixed

Get the whole list of possible types from the Data Types Table.


default mapper schema ttl, int = 60

This only affects the schema caching of the SQL mapper.


default mapper rel ttl, int = 0

This setting in your model will add a caching to all relational queries


SQL table primary key, string

Defines the used primary key of the table. Default is id for SQL engine, and always _id for JIG and Mongo engines. The setup method respects this value for creating new SQL tables in your database and has to be an integer column.


Retrieve first object that satisfies criteria

Cortex load([ array $filter = NULL [, array $options = NULL [, int $ttl = 0 ]]])

Simple sample to load a user:

$user->load(array('username = ?','jacky'));
if (!$user->dry()) {
    // user was found and loaded
    echo $user->username;
} else {
    // user was not found

When called without any parameter, it loads the first record from the database.


Count records that are currently loaded

int loaded()


$user->load(array('last_name = ?','Johnson'));
echo $user->loaded(); // 3

first, last, next, prev, skip

Methods to navigate the cursor position and map a record

See http://fatfreeframework.com/cursor#CursorMethods.

$user->load(array('last_name = ?','Johnson'));
echo $user->loaded(); // 3
echo $user->_id; // 1
echo $user->_id; // 3
echo $user->prev()->_id; // 2
echo $user->first()->_id; // 1
echo $user->skip(2)->_id; // 3


Return fields of mapper object as an associative array

array cast ([ Cortex $obj = NULL [, int $rel_depths = 1]])

A simple cast sample. If the model contains relations, they are also casted for 1 level depth by default:

$user->load(array('_id = ?',3));
/* Array (
    [_id] => 3
    [first_name] => Steve
    [last_name] => Johnson
    [comments] => Array(
        [1] => Array (
            [_id] = 23
            [post] => 2
            [message] => Foo Bar
        [2] => Array (
            [_id] = 28
            [post] => 3
            [message] => Lorem Ipsun

If you increase the $rel_depths value, you can also resolve further relations down the road:

var_dump($user->cast(NULL, 2));
/* Array (
    [comments] => Array(
        [1] => Array (
            [_id] = 23
            [post] => Array(
                [_id] => 2
                [title] => Kittenz
                [text] => ... 
            [message] => Foo Bar

If you only want particular relation fields to be resolved, you can set an array to the $rel_depths parameter, with the following schema:

$user->cast(NULL, array(
  '*' => 0,     // cast all own relations to the given depth, 
                // 0 doesn't cast any relation (default if this key is missing)
  'modelA' => 0,// if a relation key is defined here, modelA is being loaded and casted,
                // but not its own relations, because the depth is 0 for it
  'modelB' => 1,// modelB and all its 1st level relations are loaded and casted
  'modelC' => array(...) // you can recursively extend this cast array scheme

// simple sample: only cast yourself and the author model without its childs 

// nested sample: only cast yourself, 
// your own author relation with its profile and all profile relations 

If you don't want any relation to be resolved and casted, just set $rel_depths to 0. Any one-to-many relation field then just contains the _id (or any other custom field binding from $fieldConf) of the foreign record, many-to-one and many-to-many fields are just empty.


Cast a related collection of mappers

array|null castField( string $key [, int $rel_depths = 0 ])


Return a collection of objects matching criteria

CortexCollection|false find([ array $filter = NULL [, array $options = NULL [, int $ttl = 0 ]]])

The resulting CortexCollection implements the ArrayIterator and can be treated like a usual array. All filters and counters which were set before are used once find is called:

// find published #web-design news, sorted by approved user comments
$news->has('tags',array('slug = ?','web-design'));
$news->filter('comments', array('approved = ?',1));
$records = $news->find(
    array('publish_date <= ? and published = ?', date('Y-m-d'), true),
    array('order' => 'count_comments desc')


Return first record (mapper object) that matches criteria

Cortex|false findone([ array $filter = NULL [, array $options = NULL [, int $ttl = 0 ]]])

This method is inherited from the Cursor class.


Return an array of result arrays matching criteria

array|null find([ array $filter = NULL [, array $options = NULL [, int $ttl = 0 [, int|array $rel_depths = 1 ]]]])

Finds a whole collection, matching the criteria and casts all mappers into an array, based on the $rel_depths configuration.


Give this model a reference to the collection it is part of

null addToCollection( CortexCollection $cx )

onload, aftererase, afterinsert, aftersave, afterupdate, beforeerase, beforeinsert, beforesave, beforeupdate

Define an event trigger

callback onload( callback $func )

See the guide about Event Handlers for more details.

onget, onset

Define a custom field getter/setter

callback onget( string $field, callback $func )

See the guide about Custom Field Handler for more details.


Clear any mapper field or relation

null clear( string $key )


Removes one or all relation filter

null clearFilter([ string $key = null ])

Removes only the given $key filter or all, if none was given.


Hydrate the mapper from hive key or given array

null copyfrom( string|array $key [, callback|array|string $fields = null ])

Use this method to set multiple values to the mapper at once. The $key parameter must be an array or a string of a hive key, where the actual array can be found.

The $fields parameter can be a splittable string:


Or an array:


Or a callback function, which is used to filter the input array:

$news->copyfrom('POST',function($fields) {
    return array_intersect_key($fields,array_flip(array('title','text')));


Copy mapper values into hive key

null copyto( string $key [, array|string $relDepth = 0 ])


Count records that match criteria

null count([ null $filter [, int $ttl = 60 ]])

Just like find() but it only executes a count query instead of the real select.


add a virtual field that counts occurring relations

null countRel( string $key)

The $key parameter must be an existing relation field name. This adds a virtual counter field to your result, which contains the count/sum of the matching relations to the current record, which is named count_{$key}.

You can also use this counter for sorting, like in this tag-cloud sample:

$tags = new \Model\Tag();
$tags->filter('news',array('published = ? and publish_date <= ?', true, date('Y-m-d')));
$result = $tags->find(array('deleted = ?',0), array('order'=>'count_news desc'));


Returns the currently used db type

string dbtype()

The type is SQL, Mongo or Jig.


Return TRUE if current cursor position is not mapped to any record

bool dry()


$mapper->load(array('_id = ?','234'));
if ($mapper->dry()) {
    // not found
} else {
    // record was loaded


Delete object/s and reset ORM

null erase([ array $filter = null ])

When a $filter parameter is set, it deletes all matching records:

$user->erase(array('deleted = ?', 1));

It deletes the loaded record when called on a hydrated mapper without $filter parameter:

$user->load(array('_id = ?',6));

This also calls the beforeerase and aftererase events.


Check if a certain field exists in the mapper or is a virtual relation field

bool exists( string $key [, bool $relField = false ])

If $relField is true, it also checks the $fieldConf for defined relational fields.


get fields or set whitelist / blacklist of fields

array fields([ array $fields = array() [, bool $exclude = false ])

When you call this method without any parameter, it returns a list of available fields from the schema.

var_dump( $user->fields() );
/* Array(

If you set a $fields array, it'll enable the field whitelisting, and put the given fields to that whitelist. All non-whitelisted fields on loaded records are not available, visible nor accessible anymore. This is useful when you don't want certain fields in a returned casted array.

$user->fields(array('username','email')); // only those fields
/* Array(
    '_id' => 5
    'username' => joe358
    'email' => joe@domain.com

Calling this method will re-initialize the mapper and takes effect on any further load or find action, so run this first of all.

If you set the $exclude parameter to true, it'll also enable the whitelisting, but set all available fields, without the given, to the whitelist. In other words, the given $fields become blacklisted, the only the remaining fields stay visible.

$user->fields(array('email'), true); // all fields, but not these
/* Array(
    '_id' => 5
    'username' => joe358
    'password' => $18m$fsk555a3f2f08ff28
    'active' => 1
    'deleted' => 0

In case you have relational fields configured on the model, you can also prohibit access for the fields of that relations. For that use the dot-notation:

$comments->fields(array('user.password'), true); // exclude the password field in user model
/* Array(
    '_id' => 53
    'message' => ....
    'user' => Array(
        '_id' => 5
        'username' => joe358
        'active' => 1
        'deleted' => 0

You can call this method multiple times in conjunction. It'll always merge with your previously set white and blacklisted fields. _id is always present.


Add filter for loading related models

Cortex filter( string $key [, array $filter = null [, array $options = null ]])

See Advanced Filter Techniques.


Retrieve contents of key

mixed get( string $key [, bool $raw = false ])

If $raw is true, it'll return the raw data from a field as is. No further processing, no relation is resolved, no get-event fired. Useful if you only want the raw foreign key value of a relational field.


Returns model $fieldConf array

array|null getFieldConfiguration()


returns model table name

string getTable()

If no table was defined, it uses the current class name to lowercase as table name.


Add has-conditional filter to next find call

Cortex has( string $key [, array $filter = null [, array $options = null ]])

See Advanced Filter Techniques.


Glue multiple filter arrays together into one

array mergeFilter( array $filters [, string $glue = 'and' ])

This is useful when you want to add more conditions to your filter array or want to merge multiple filter arrays together, i.e. when you assemble the filter for a complex search functionality which is based on conditions. Use the $glue parameter to define the part that is used to merge two filters together (usually AND or OR).

$filter1 = array('_id = ?', 999);
$filter2 = array('published = ? or active = ?', true, false);

$new_filter = $mapper->mergeFilter(array($filter1, $filter2));
// array('(_id = ?) and (published = ? or active = ?)', 999, true, false)


Return array containing subset of records matching criteria

array paginate([ int $pos = 0 [, int $size = 10 [, array $filter = NULL [, array $options = NULL [, int $ttl = 0 ]]]]])

See Cursor->paginate. Any has and filter filters can be used in conjunction with paginate as well.


returns a clean/dry model from a relation

Cortex rel( string $key )

For instance, if comments is a one-to-many relation to \Model\Comment:

var_dump($user->comments); // array of comments
$new_comment = $user->rel('comments'); 
// $new_comment is a new empty \Model\Comment


reset and re-initialize the mapper

null reset([ bool $mapper = true ])

If $mapper is false, it only reset filter, default values and internal caches of the mapper, but leaves the hydrates record untouched.


kick start mapper to fetch its config

array resolveConfiguration()

Returns an array that exposes a mapper configuration. The array includes:

  • table
  • fieldConf
  • db
  • fluid
  • primary


Save mapped record

It is recommended to always use the save method. It'll automatically see if you want to save a new record or update an existing, loaded record.

$user->username = 'admin'
$user->email = 'admin@domain.com';
$user->save(); // insert

$user->load(array('username = ?','admin'));
$user->email = 'webmaster@domain.com';
$user->save(); // update

The save method also fires the beforeinsert, beforeupdate, afterinsert and afterupdate events. There are also insertand updatemethod, but using that methods directly, will skip the events and any cascading actions.


Bind value to key

mixed set( string $key, mixed $val )


erase all model data, handle with care

null setdown([ object|string $db = null [, string $table = null ]])

This method completely drops the own table, and used many-to-many pivot-tables from the database.


set model definition

null setFieldConfiguration( array $config )

Used to set the $fieldConf array.


setup / update table schema

bool setup([ object|string $db = null [, string $table = null [, array $fields = null ]]])

This method creates the needed tables for the model itself and additionally required pivot tables. It uses the internal model properties $db, $table and fieldConf, but can also be fed with method parameters which would take precedence.


update a given date or time field with the current time

null touch( string $key )

If $key is a defined field in the $fieldConf array, and is a type of date, datetime or timestamp, this method updates the field to the current time/date in the appropriate format.


Return whether current iterator position is valid.

bool valid()

It's the counterpart to dry().

$mapper->load(array('_id = ?','234'));
if ($mapper->valid()) {
    // record was loaded
} else {
    // not found


virtual mapper field setter

null virtual( string $key, mixed $val )

This sets a custom virtual field to the mapper. Useful for some on-demand operations:

$user->virtual('pw_unsecure', function($this) {
    return \Bcrypt::instance()->needs_rehash($this->password, 10);

It is possible to use the virtual fields for a post-sorting on a selected collection, see virtual fields.

Collection API

Whenever you use the find method, it will return an instance of the new CortexCollection class. This way we are able determine the whole collection from the inside of every single mapper in the results, and that gives us some more advanced features, like the smart-loading of relations. The CortexCollection implements the ArrayIterator interface, so it is accessible like an usual array. Here are some of the most useful methods the Cortex Collection offers:


add single model to collection

null add( Cortex $model )

It's also possible to use the array notation to add models:

$new_comment = $news->rel('comments');
$new_comment->text = 'Foo Bar';
$news->comments[] = $new_comment;


cast all contained mappers to a nested array

array castAll([ $reldepths = 1 ])

Similar to the Cortex->cast method for a single mapper, this automatically casts all containing mappers to a simple nested array.

$result = $news->find(array('published = ?',true));
if ($result)
    $json = json_encode($result->castAll());

Use the $reldepths parameter to define what to cast, see cast method for details.


return internal array representation

array expose()


create a new collection instance from given records

CortexCollection factory( array $records )

$records must be an array, containing Cortex mapper objects.


returns all values of a specified property from all models

array getAll( string $prop [, bool $raw = false ])

You can fetch all values of a certain key from all containing mappers using getAll(). Set the 2nd argument to true to get only the raw DB results instead of resolved mappers on fields that are configured as a relation.

$users = $user->find(array('active = ?',1));
$mails = $users->getAll('email'); 
/* Array(


array getBy( string $index [, bool $nested = false ])

You can transpose the results by a defined key using getBy(). Therefore you need to provide an existing field in the mapper, like this;

$pages = $page->find();
$pages_by_slug = $pages->getBy('slug');

This will resort the resulting array by the email field of each mapper, which gives you a result array like array("foo@domain.com"=>array(...)). If you provide true as 2nd argument, the records are ordered into another array depth, to keep track of multiple results per key.


returns true if any model was modified after it was added to the collection

bool hasChanged()


re-assort the current collection using a sql-like syntax

null orderBy( string $cond )

If you need to re-sort a result collection once more to another key, use this method like $results->orderBy('name DESC');. This also works with multiple sort keys.


set a collection of models

array setModels( array $models [, bool $init = true ])

This adds multiple Cortex objects to the own collection. When $init is true, added models with this method wont effect the changed state.


slice the collection

null slice( int $offset [, int $limit = null ])

This removes a part from the collection.

Additional notes

  • To release any relation, just set the field to NULL and save the mapper.

  • All relations are lazy loaded to save performance. That means they won't get loaded until you access them by the linked property or cast the whole parent model.

  • lazy loading within a result collection will automatically invoke the eager loading of that property to the whole set. The results are saved to an Identity Map to relieve the strain on further calls. I called this smart loading and is used to get around the 1+N query problem with no need for extra configuration.

  • If you need to use a primary key in SQL which is different from id (for any legacy reason), you can use the $primary class property to set it to something else. You should use the new custom pkey in your queries now. Doing so will limit your app to SQL engines.

  • to get the id of any record use $user->_id;. This even works if you have setup a custom primary key.

  • To find any record by its id use the field _id in your filter array, like array('_id = ?', 123).

  • primary fields should not be included in the $fieldConf array. They could interfere with the setup routine.

  • There are some little behaviours of Cortex you can control by these hive keys:

    • CORTEX.queryParserCache: if TRUE all query strings are going to be cached too (may add a lot of cache entries). Default: FALSE

    • CORTEX.smartLoading: triggers the intelligent-lazy-eager-loading. Default is TRUE, but turn it off if you think something works wrong. Could cause a lot of extra queries send to your DB, if deactivated.

    • CORTEX.standardiseID: Default TRUE. This moves any defined primary key into the _id field on returned arrays.

Known Issues

  • Not really a bug, but returned collections (from relations, find, or paginate method) are not cloneable because they need to keep a unique references to the identity map of its relations. This leads to the point that all containing mappers are not automatically escaped in templates, regardless of the ESCAPE setting. Keep in mind to add the | esc filter to your tokens.

If you find any issues or bugs, please file a new Issue on github or write a mail. Thanks.


If you have any ideas, suggestions or improvements, feel free to add an issue for this on github.

Cortex currently only reflects to the most common use cases. If you need more extensive control over your queries or the DB, you may consider to use the underlying mapper or DB directly. This could be done in custom methods or field preprocessors in your Model classes.

Anyways, I hope you find this useful. If you like this plugin, why not make a donation?

buy me a Beer

If you like to see Cortex in action, have a look at fabulog.