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TIPS, INSIGHTS AND THE LATEST FROM THE EXPERTS BEHIND CAKEPHP

Search plugin 2.3.0 released

We’ve just released version 2.3.0 of the CakeDC Search plugin for CakePHP with an array of fixes and improvements, updated the code for 2.5, and also reformatted the documentation inline with the CakeDC Plugin Standard.

The Search plugin provides an interface using PRG (Post/Redirect/Get) to enable search in any CakePHP application. From simple comparisons of values, to complex search types on any data, even wildcards, expression and custom query methods, as well as subqueries. The plugin gives you all you need, in just a few lines of code.

As an example, if you had a controller for products, and wanted to offer a way to simply search among your existing products by “name”, you'd need only include the Prg component, then use it to process the request for the search criteria. Here we show the most verbose example, so it's clear how the component is used.

class ProductsController extends AppController {

    public $components = array('Search.Prg');

    public function index() {
        // start a standard search
        $this->Prg->commonProcess();
        // process the URL parameters
        $params = $this->Prg->parsedParams();
        // generate the Paginator conditions
        $conditions = $this->Product->parseCriteria($params);
        // add the conditions for paging
        $this->Paginator->settings['conditions'] = $conditions;
        $this->set('products', $this->Paginator->paginate());
    }
}

Then, in your product model, you would just include a $filterArgs property, which defines the fields by which you can search for records. In this case, you can see how the “name” field is defined as a searchable column.

class Product extends AppModel {

    public $actsAs = array('Search.Searchable');

    public $filterArgs = array(
        'product' => array(
            'type' => 'like',
            'field' => 'name'
        )
    );
}

Finally, in your view, there's no need to do any more than define your search form as you normally would, without the need for any additional options or configuration.

echo $this->Form->create();
echo $this->Form->input('product');
echo $this->Form->end(__('Search'));

This is just a simple example, to illustrate the potential of the Search plugin. You can find more on the functionality available in the documentation. We're sure you'll find plenty more uses for it, to enhance your application with a search functionality that will keep your users searching for more!

As you already know, our plugins are released as Open Source, free of charge, and are helped by the contributions from the CakePHP community. We thank all of our contributors to the Search plugin, and hope the continued involvement helps keep the framework ecosystem healthy and strong, with an array of great plugins that help you all build awesome applications.

Latest articles

A CakePHP Docker Development Environment

We sponsor a monthly CakePHP training session (register here https://training.cakephp.org ) where we cover different topics about the framework. One of our sessions, the "Getting Started with CakePHP 4" is aimed to help developers starting a new project quickly and following the best practices.   Our previous "recommended" quick setting for a CakePHP development environment was using a vagrant box. See details here:  https://www.cakedc.com/jorge_gonzalez/2018/01/17/using-a-vagrant-box-as-quick-environment-for-the-getting-started-with-cakephp-training-session. However, we've switched internally to use docker as our primary development environment and also we started using docker in our training sessions.   Here's a quick overview of a simple docker based development environment for CakePHP.  

1. Create a new CakePHP project skeleton using 

composer create-project cakephp/app myproject   A new folder "myproject" will be created with a CakePHP project skeleton inside. Go to this new directory and proceed.  

2. Create a new "docker-compose.yaml" file with the following contents

version: '3' services:   mysql8:     image: mysql:8     restart: always     container_name: mysql     environment:         MYSQL_ROOT_PASSWORD: root         MYSQL_DATABASE: my_app         MYSQL_USER: my_app         MYSQL_PASSWORD: secret     volumes:       - ./:/application     ports:       - '9306:3306'     cakephp:     image: webdevops/php-apache:8.0     container_name: cakephp     working_dir: /application/webroot     volumes:       - ./:/application     environment:       - WEB_DOCUMENT_ROOT=/application/webroot       - DATABASE_URL=mysql://my_app:secret@mysql/my_app     ports:       - "8099:80"
 

3. Run "docker-compose up"

You'll create 2 containers named mysql and cakephp -  check the docker-compose configuration to see default database and users created in the mysql container, and the same environment params passed to the cakephp container via DATABASE_URL to allow the cakephp container to connect with the mysql database.   NOTE: the ports exposed are 9306 for mysql and 8099 for cakephp webserver. You can list them using docker-compose ps.  

4. Access your database and cakephp shell

  • To access the database you can use the command:
mysql --port 9306 -umy_app -psecret my_app   To restore a database dump for example, you can use the command: curl -L https://raw.githubusercontent.com/CakeDC/cakephp4-getting-started-session/master/my_app.sql |mysql --port 9306 -umy_app -psecret my_app   You can also configure any database tool to access the database in: localhost:9306  
  • To access the cakephp environment and shell you can use the command:
docker exec -it --user application cakephp bash   You'll go to the webroot folder, so in order to run the cake shell you'll need to: cd .. bin/cake 
  Now you have a working environment to play with the training session contents.   In this previous article, we covered another approach to setting up a local docker environment: https://www.cakedc.com/rochamarcelo/2020/07/20/a-quick-cakephp-local-environment-with-docker    We hope to see you in our next training session! https://training.cakephp.org   

Updating Model Layer

One reason to migrate from CakePHP 2.x to newer versions, is the very powerful ORM system that was introduced in CakePHP 3.x.  

Improved ORM Objects

The CakePHP model layer in CakePHP 3.x uses the Data Mapper pattern. Model classes in CakePHP 3.x ORM are split into two separate objects. Entity represents a single row in the database and it is responsible for keeping record state. Table class provides access to a collection of database records and describe associations, and provides api to work with a database. One notable change is afterFind callback removal. In CakePHP 3.x, it is possible to use Entity level getters to provide calculated fields on entity level.  

Association Upgrade 

In CakePHP 2.x associations are defined as arrays properties like this:     public $belongsTo = [         'Profile' => [             'className' => 'Profile',             'foreignKey' => 'profile_id',         ]     ];   In CakePHP 3.x and 4.x associations are declared in the initialize method. This gives much more flexibility in association configuration.     public function initialize(): void     {         $this->belongsTo('Profile', [                 'className' => 'Profile',                 'foreignKey' => 'profile_id',         ]);              }   Or using setters syntax, it could be done this way: public function initialize(): void     {         $this->belongsTo('Profile')         ->setForeignKey('profile_id')     }  

Behavior Upgrade

In CakePHP 2.x, behaviors are initialized as arrays properties:     public $actsAs = [         'Sluggable' => [             'label' => 'name',         ],     ];   In CakePHP 3.x and 4.x,  behaviors are configured in the initialize method. This gives much more flexibility in configuration, as in params it's possible to pass anonymous functions.     public function initialize(): void     {         $this->addBehavior('Sluggable', [             'label' => 'name',         ]);              }  

Validation Upgrade

In CakePHP 2.x, behaviors are  initialized as arrays properties:     public $validation = [         'title' => [             'notBlank' => [                 'rule' => ['notBlank'],                 'allowEmpty' => false,                 'required' => true,                 'message' => 'Title is required'             ],         ],     ];   In CakePHP 3.x and 4.x, validation is defined in validationDefault method which builds validation rules.     public function validationDefault(Validator $validator): Validator     {         $validator             ->scalar('title')             ->requirePresence('title', 'create')             ->notEmptyString('title');           return $validator;     }   Additionally, CakePHP introduced the buildRules method, which is where  described foreign keys constraints, uniqueness, or business level rules.     public function buildRules(RulesChecker $rules): RulesChecker     {         $rules->add($rules->existsIn(['user_id'], 'Users'));         $rules->add($rules->isUnique(['username'], __('username should be unique')));                            return $rules;     }  

Finder Methods

In CakePHP 2.x, the custom finder method is called twice - before and after fetching data from the database, which is defined by the $state parameter. Parameter $query contains current query state, and in $results passed data returned from database.     protected function _findIndex($state, $query, $results = array()) {         if ($state == 'before') {             $query['contain'] = ['User'];         } else {             // ...         }     }       In CakePHP 3.x, custom finder method accepts query object and some options passed from client code and returns an updated query. This allows for combining multiple finder methods in the same call, and has better grained finder logic.     public function findIndex(Query $query, array $options): Query     {         return $query->contain(['Users']);     }   The afterFind method could be implemented with the Query::formatResults method, which accepts an anonymous function to map each collection item.

Why Database Compression?

Nowadays people are not concerned about how large their database is in terms of MB. Storage is cheap. Even getting cheap SSD storage is not a big deal.    However, this is true if we are talking about hundreds of MB or even several GB, but sometimes we get into a situation where we have massive amounts of data (i.e Several tables with lots of longtext columns). At this point it becomes a concern because we need to increase the hard disk size, and find ourselves checking to see  if the hard disk is full several times per day or week, etc.   Now, if you have faced a situation like this before, it's time to talk about database compression. Compression is a technique, developed theoretically back in the 1940s but actually implemented in the 1970s. For this post we will focus on MySQL compression, which is performed using the open-source ZLib library. This library implements the LZ77 dictionary-based compression algorithm.   Before going into MySQL compression details, lets name some of the main DBMS and their compression techniques:

  • MySQL: ZLib (LZ77) [1]
  • Oracle: Oracle Advanced Compression (Proprietary)[2]
  • Postgres: PGLZ or LZ4 (if added this option at compilation level) [3]
  • DB2: Fixed-length compression or Huffman in some systems [4]
  So, now that we know this useless information, lets learn how to implement this in MySQL.   Firstly, you need to know that you CAN'T enable compression if:
  • Your table lives into `system` tablespace, or
  • Your tablespace was created with the option `innodb_file_per_table` disabled.
  It is important to test if the compression is the best solution for you.  If you have a table with a lot of small columns, you will probably end up with a larger-size table after "compressing" because of the headers and compression information. Compression is always great when you have longtext columns which can be heavily compressed.   Then, to enable compression for a table, you just need to include the following option when your table is created, or execute it as part of an alter statement: ROW_FORMAT=COMPRESSED These are the basics but you may find more useful information in MySQL manual.   You can also take a look at Percona which implements a Column level compression. This is interesting if you have a table with a lot of small fields and one large column, or if you have to optimize your database as much as possible. [6]   Finally, just say that even that storage is cheaper than ever, the amount of information has increased as well and we are now using and processing an incredible amount of data... so it looks like compression will always be a requirement.   I hope you find this information useful and please let me know if you have any questions or suggestions below in the comments section.

  [1]:https://dev.mysql.com/doc/internals/en/zlib-directory.html  [2]:https://www.oracle.com/technetwork/database/options/compression/advanced-compression-wp-12c-1896128.pdf  [3]:https://www.postgresql.org/docs/devel/runtime-config-client.html  [4]:https://www.ibm.com/docs/en/db2-for-zos/12?topic=performance-compressing-your-data  [6]:https://www.percona.com/doc/percona-server/8.0/flexibility/compressed_columns.html

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