Databases and the Doctrine ORM

Warning: You are browsing the documentation for Symfony 3.x, which is no longer maintained.

Read the updated version of this page for Symfony 7.1 (the current stable version).

Screencast

Do you prefer video tutorials? Check out the Doctrine screencast series.

One of the most common and challenging tasks for any application involves persisting and reading information to and from a database. Although the Symfony Framework doesn't integrate any component to work with databases, it provides tight integration with a third-party library called Doctrine. Doctrine's sole goal is to give you powerful tools to make database interactions easy and flexible.

In this chapter, you'll learn how to start leveraging Doctrine in your Symfony projects to give you rich database interactions.

Note

Doctrine is totally decoupled from Symfony and using it is optional. This chapter is all about the Doctrine ORM, which aims to let you map objects to a relational database (such as MySQL, PostgreSQL or Microsoft SQL). If you prefer to use raw database queries, this is easy, and explained in the "How to Use Doctrine DBAL" article.

You can also persist data to MongoDB using Doctrine ODM library. For more information, read the "`DoctrineMongoDBBundle`_" documentation.

A Simple Example: A Product

The easiest way to understand how Doctrine works is to see it in action. In this section, you'll configure your database, create a Product object, persist it to the database and fetch it back out.

Configuring the Database

Before you really begin, you'll need to configure your database connection information. By convention, this information is usually configured in an app/config/parameters.yml file:

1
2
3
4
5
6
7
8
# app/config/parameters.yml
parameters:
    database_host:     localhost
    database_name:     test_project
    database_user:     root
    database_password: password

# ...

Note

Defining the configuration via parameters.yml is just a convention. The parameters defined in that file are referenced by the main configuration file when setting up Doctrine:

1
2
3
4
5
6
7
8
# app/config/config.yml
doctrine:
    dbal:
        driver:   pdo_mysql
        host:     '%database_host%'
        dbname:   '%database_name%'
        user:     '%database_user%'
        password: '%database_password%'

By separating the database information into a separate file, you can keep different versions of the file on each server. You can also store database configuration (or any sensitive information) outside of your project, like inside your Apache configuration, for example. For more information, see How to Set external Parameters in the Service Container.

Now that Doctrine can connect to your database, the following command can automatically generate an empty test_project database for you:

1
$ php bin/console doctrine:database:create

Setting up the Database to be UTF8

One mistake even seasoned developers make when starting a Symfony project is forgetting to set up default charset and collation on their database, ending up with latin type collations, which are default for most databases. They might even remember to do it the very first time, but forget that it's all gone after running a relatively common command during development:

1
2
$ php bin/console doctrine:database:drop --force
$ php bin/console doctrine:database:create

Setting UTF8 defaults for MySQL is as simple as adding a few lines to your configuration file (typically my.cnf):

1
2
3
4
[mysqld]
# Version 5.5.3 introduced "utf8mb4", which is recommended
collation-server     = utf8mb4_unicode_ci # Replaces utf8_unicode_ci
character-set-server = utf8mb4            # Replaces utf8

You can also change the defaults for Doctrine so that the generated SQL uses the correct character set.

1
2
3
4
5
6
7
# app/config/config.yml
doctrine:
    dbal:
        charset: utf8mb4
        default_table_options:
            charset: utf8mb4
            collate: utf8mb4_unicode_ci

We recommend against MySQL's utf8 character set, since it does not support 4-byte unicode characters, and strings containing them will be truncated. This is fixed by the newer utf8mb4 character set.

Caution

There is a limit of 767 bytes for the index key prefix when using InnoDB tables in MySQL 5.6 and earlier versions. String columns with 255 character length and utf8mb4 encoding surpass that limit. This means that any column of type string and unique=true must set its maximum length to 190. Otherwise, you'll see this error: "[PDOException] SQLSTATE[42000]: Syntax error or access violation: 1071 Specified key was too long; max key length is 767 bytes".

Note

If you want to use SQLite as your database, you need to set the path where your database file should be stored:

1
2
3
4
5
6
# app/config/config.yml
doctrine:
    dbal:
        driver: pdo_sqlite
        path: '%kernel.project_dir%/app/sqlite.db'
        charset: UTF8

Creating an Entity Class

Suppose you're building an application where products need to be displayed. Without even thinking about Doctrine or databases, you already know that you need a Product object to represent those products. Create this class inside the Entity directory of your AppBundle:

1
2
3
4
5
6
7
8
9
// src/AppBundle/Entity/Product.php
namespace AppBundle\Entity;

class Product
{
    private $name;
    private $price;
    private $description;
}

The class - often called an "entity", meaning a basic class that holds data - is simple and helps fulfill the business requirement of needing products in your application. This class can't be persisted to a database yet - it's just a simple PHP class.

Tip

Once you learn the concepts behind Doctrine, you can have Doctrine create simple entity classes for you. This will ask you interactive questions to help you build any entity:

1
$ php bin/console doctrine:generate:entity

Add Mapping Information

Doctrine allows you to work with databases in a much more interesting way than just fetching rows of scalar data into an array. Instead, Doctrine allows you to fetch entire objects out of the database, and to persist entire objects to the database. For Doctrine to be able to do this, you must map your database tables to specific PHP classes, and the columns on those tables must be mapped to specific properties on their corresponding PHP classes.

You'll provide this mapping information in the form of "metadata", a collection of rules that tells Doctrine exactly how the Product class and its properties should be mapped to a specific database table. This metadata can be specified in a number of different formats, including YAML, XML or directly inside the Product class via DocBlock annotations:

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
// src/AppBundle/Entity/Product.php
namespace AppBundle\Entity;

use Doctrine\ORM\Mapping as ORM;

/**
 * @ORM\Entity
 * @ORM\Table(name="product")
 */
class Product
{
    /**
     * @ORM\Column(type="integer")
     * @ORM\Id
     * @ORM\GeneratedValue(strategy="AUTO")
     */
    private $id;

    /**
     * @ORM\Column(type="string", length=100)
     */
    private $name;

    /**
     * @ORM\Column(type="decimal", scale=2)
     */
    private $price;

    /**
     * @ORM\Column(type="text")
     */
    private $description;
}

Note

If you are using an SQLite database, you'll see the following error: PDOException: SQLSTATE[HY000]: General error: 1 Cannot add a NOT NULL column with default value NULL. Add a nullable=true option to the description property to fix the problem.

Note

A bundle can accept only one metadata definition format. For example, it's not possible to mix YAML metadata definitions with annotated PHP entity class definitions.

Tip

The table name is optional and if omitted, will be determined automatically based on the name of the entity class.

Doctrine allows you to choose from a wide variety of different field types, each with their own options. For information on the available field types, see the Databases and the Doctrine ORM section.

See also

You can also check out Doctrine's Basic Mapping Documentation for all details about mapping information. If you use annotations, you'll need to prepend all annotations with ORM\ (e.g. ORM\Column(...)), which is not shown in Doctrine's documentation. You'll also need to include the use Doctrine\ORM\Mapping as ORM; statement, which imports the ORM annotations prefix.

Caution

Be careful if the names of your entity classes (or their properties) are also reserved SQL keywords like GROUP or USER. For example, if your entity's class name is Group, then, by default, the corresponding table name would be group. This will cause an SQL error in some database engines. See Doctrine's Reserved SQL keywords documentation for details on how to properly escape these names. Alternatively, if you're free to choose your database schema, simply map to a different table name or column name. See Doctrine's Creating Classes for the Database and Property Mapping documentation.

Note

When using another library or program (e.g. Doxygen) that uses annotations, you should place the @IgnoreAnnotation annotation on the class to indicate which annotations Symfony should ignore.

For example, to prevent the @fn annotation from throwing an exception, add the following:

1
2
3
4
5
/**
 * @IgnoreAnnotation("fn")
 */
class Product
// ...

Tip

After creating your entities you should validate the mappings with the following command:

1
$ php bin/console doctrine:schema:validate

Generating Getters and Setters

Even though Doctrine now knows how to persist a Product object to the database, the class itself isn't really useful yet. Since Product is just a regular PHP class with private properties, you need to create public getter and setter methods (e.g. getName(), setName($name)) in order to access its properties in the rest of your application's code. Add these methods manually or with your own IDE.

Creating the Database Tables/Schema

You now have a usable Product class with mapping information so that Doctrine knows exactly how to persist it. You don't yet have the corresponding product table in your database. Fortunately, Doctrine can automatically create all the database tables needed for every known entity in your application. To do this, run:

1
$ php bin/console doctrine:schema:update --force

Tip

Actually, this command is incredibly powerful. It compares what your database should look like (based on the mapping information of your entities) with how it actually looks, and executes the SQL statements needed to update the database schema to where it should be. In other words, if you add a new property with mapping metadata to Product and run this command, it will execute the "ALTER TABLE" statement needed to add that new column to the existing product table.

An even better way to take advantage of this functionality is via migrations, which allow you to generate these SQL statements and store them in migration classes that can be run systematically on your production server in order to update and track changes to your database schema safely and reliably.

Whether or not you take advantage of migrations, the doctrine:schema:update command should only be used during development. It should not be used in a production environment.

Your database now has a fully-functional product table with columns that match the metadata you've specified.

Persisting Objects to the Database

Now that you have mapped the Product entity to its corresponding product table, you're ready to persist Product objects to the database. From inside a controller, this is pretty easy. Add the following method to the DefaultController of the bundle:

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
// src/AppBundle/Controller/DefaultController.php

// ...
use AppBundle\Entity\Product;
use Doctrine\ORM\EntityManagerInterface;
use Symfony\Component\HttpFoundation\Response;

public function createAction()
{
    // you can fetch the EntityManager via $this->getDoctrine()
    // or you can add an argument to your action: createAction(EntityManagerInterface $entityManager)
    $entityManager = $this->getDoctrine()->getManager();

    $product = new Product();
    $product->setName('Keyboard');
    $product->setPrice(19.99);
    $product->setDescription('Ergonomic and stylish!');

    // tells Doctrine you want to (eventually) save the Product (no queries yet)
    $entityManager->persist($product);

    // actually executes the queries (i.e. the INSERT query)
    $entityManager->flush();

    return new Response('Saved new product with id '.$product->getId());
}

// if you have multiple entity managers, use the registry to fetch them
public function editAction()
{
    $doctrine = $this->getDoctrine();
    $entityManager = $doctrine->getManager();
    $otherEntityManager = $doctrine->getManager('other_connection');
}

Note

If you're following along with this example, you'll need to create a route that points to this action to see it work.

Take a look at the previous example in more detail:

  • line 12 The $this->getDoctrine()->getManager() method gets Doctrine's entity manager object, which is the most important object in Doctrine. It's responsible for saving objects to, and fetching objects from, the database.
  • lines 14-17 In this section, you instantiate and work with the $product object like any other normal PHP object.
  • line 20 The persist($product) call tells Doctrine to "manage" the $product object. This does not cause a query to be made to the database.
  • line 23 When the flush() method is called, Doctrine looks through all of the objects that it's managing to see if they need to be persisted to the database. In this example, the $product object's data doesn't exist in the database, so the entity manager executes an INSERT query, creating a new row in the product table.

Note

In fact, since Doctrine is aware of all your managed entities, when you call the flush() method, it calculates an overall changeset and executes the queries in the correct order. It utilizes cached prepared statement to slightly improve the performance. For example, if you persist a total of 100 Product objects and then subsequently call flush(), Doctrine will execute 100 INSERT queries using a single prepared statement object.

Note

If the flush() call fails, a Doctrine\ORM\ORMException exception is thrown. See Transactions and Concurrency.

Whether creating or updating objects, the workflow is always the same. In the next section, you'll see how Doctrine is smart enough to automatically issue an UPDATE query if the entity already exists in the database.

Tip

Doctrine provides a library that allows you to programmatically load testing data into your project (i.e. "fixture data"). For information, see the "`DoctrineFixturesBundle`_" documentation.

Fetching Objects from the Database

Fetching an object back out of the database is even easier. For example, suppose you've configured a route to display a specific Product based on its id value:

1
2
3
4
5
6
7
8
9
10
11
12
13
14
public function showAction($productId)
{
    $product = $this->getDoctrine()
        ->getRepository(Product::class)
        ->find($productId);

    if (!$product) {
        throw $this->createNotFoundException(
            'No product found for id '.$productId
        );
    }

    // ... do something, like pass the $product object into a template
}

Tip

You can achieve the equivalent of this without writing any code by using the @ParamConverter shortcut. See the FrameworkExtraBundle documentation for more details.

When you query for a particular type of object, you always use what's known as its "repository". You can think of a repository as a PHP class whose only job is to help you fetch entities of a certain class. You can access the repository object for an entity class via:

1
2
$repository = $this->getDoctrine()
    ->getRepository(Product::class);

Note

You can also use AppBundle:Product syntax. This string is a shortcut you can use anywhere in Doctrine instead of the full class name of the entity (i.e. AppBundle\Entity\Product). As long as your entity lives under the Entity namespace of your bundle, this will work.

Once you have a repository object, you can access all sorts of helpful methods:

1
2
3
4
5
6
7
8
9
10
11
12
13
14
$repository = $this->getDoctrine()->getRepository(Product::class);

// looks for a single product by its primary key (usually "id")
$product = $repository->find($productId);

// dynamic method names to find a single product based on a column value
$product = $repository->findOneById($productId);
$product = $repository->findOneByName('Keyboard');

// dynamic method names to find a group of products based on a column value
$products = $repository->findByPrice(19.99);

// finds *all* products
$products = $repository->findAll();

Note

You can also issue complex queries, which you'll learn more about in the Databases and the Doctrine ORM section.

You can also take advantage of the useful findBy() and findOneBy() methods to fetch objects based on multiple conditions:

1
2
3
4
5
6
7
8
9
10
11
12
13
$repository = $this->getDoctrine()->getRepository(Product::class);

// looks for a single product matching the given name and price
$product = $repository->findOneBy([
    'name' => 'Keyboard',
    'price' => 19.99
]);

// looks for multiple products matching the given name, ordered by price
$products = $repository->findBy(
    ['name' => 'Keyboard'],
    ['price' => 'ASC']
);

Tip

When rendering a page requires to make some database calls, the web debug toolbar at the bottom of the page displays the number of queries and the time it took to execute them:

If the number of database queries is too high, the icon will turn yellow to indicate that something may not be correct. Click on the icon to open the Symfony Profiler and see the exact queries that were executed.

Updating an Object

Once you've fetched an object from Doctrine, updating it is easy. Suppose you have a route that maps a product id to an update action in a controller:

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
use AppBundle\Entity\Product;
// ...

public function updateAction($productId)
{
    $entityManager = $this->getDoctrine()->getManager();
    $product = $entityManager->getRepository(Product::class)->find($productId);

    if (!$product) {
        throw $this->createNotFoundException(
            'No product found for id '.$productId
        );
    }

    $product->setName('New product name!');
    $entityManager->flush();

    return $this->redirectToRoute('homepage');
}

Updating an object involves just three steps:

  1. fetching the object from Doctrine;
  2. modifying the object;
  3. calling flush() on the entity manager.

Notice that calling $entityManager->persist($product) isn't necessary. Recall that this method simply tells Doctrine to manage or "watch" the $product object. In this case, since you fetched the $product object from Doctrine, it's already managed.

Deleting an Object

Deleting an object is very similar, but requires a call to the remove() method of the entity manager:

1
2
$entityManager->remove($product);
$entityManager->flush();

As you might expect, the remove() method notifies Doctrine that you'd like to remove the given object from the database. The actual DELETE query, however, isn't actually executed until the flush() method is called.

Querying for Objects

You've already seen how the repository object allows you to run basic queries without any work:

1
2
3
4
$repository = $this->getDoctrine()->getRepository(Product::class);

$product = $repository->find($productId);
$product = $repository->findOneByName('Keyboard');

Doctrine also allows you to write more complex queries using the Doctrine Query Language (DQL). DQL is similar to SQL except that you should imagine that you're querying for one or more objects of an entity class (e.g. Product) instead of querying for rows on a table (e.g. product).

When querying in Doctrine, you have two main options: writing pure DQL queries or using Doctrine's Query Builder.

Querying for Objects with DQL

Imagine that you want to query for products that cost more than 19.99, ordered from least to most expensive. You can use DQL, Doctrine's native SQL-like language, to construct a query for this scenario:

1
2
3
4
5
6
7
8
$query = $entityManager->createQuery(
    'SELECT p
    FROM AppBundle:Product p
    WHERE p.price > :price
    ORDER BY p.price ASC'
)->setParameter('price', 19.99);

$products = $query->getResult();

If you're comfortable with SQL, then DQL should feel very natural. The biggest difference is that you need to think in terms of selecting PHP objects, instead of rows in a database. For this reason, you select from the AppBundle:Product entity (an optional shortcut for the AppBundle\Entity\Product class) and then alias it as p.

Tip

Take note of the setParameter() method. When working with Doctrine, it's always a good idea to set any external values as "placeholders" (:price in the example above) as it prevents SQL injection attacks.

The getResult() method returns an array of results. To get only one result, you can use getOneOrNullResult():

1
$product = $query->setMaxResults(1)->getOneOrNullResult();

The DQL syntax is incredibly powerful, allowing you to join between entities (the topic of relations will be covered later), group, etc. For more information, see the official Doctrine Query Language documentation.

Querying for Objects Using Doctrine's Query Builder

Instead of writing a DQL string, you can use a helpful object called the QueryBuilder to build that string for you. This is useful when the actual query depends on dynamic conditions, as your code soon becomes hard to read with DQL as you start to concatenate strings:

1
2
3
4
5
6
7
8
9
10
11
12
13
14
$repository = $this->getDoctrine()
    ->getRepository(Product::class);

// createQueryBuilder() automatically selects FROM AppBundle:Product
// and aliases it to "p"
$query = $repository->createQueryBuilder('p')
    ->where('p.price > :price')
    ->setParameter('price', '19.99')
    ->orderBy('p.price', 'ASC')
    ->getQuery();

$products = $query->getResult();
// to get just one result:
// $product = $query->setMaxResults(1)->getOneOrNullResult();

The QueryBuilder object contains every method necessary to build your query. By calling the getQuery() method, the query builder returns a normal Query object, which can be used to get the result of the query.

For more information on Doctrine's Query Builder, consult Doctrine's Query Builder documentation.

Organizing Custom Queries into Repository Classes

All the queries in the previous sections were written directly in your controller. But for organization, Doctrine provides special repository classes that allow you to keep all your query logic in one, central place.

see How to Create custom Repository Classes for info.

Configuration

Doctrine is highly configurable, though you probably won't ever need to worry about most of its options. To find out more about configuring Doctrine, see the Doctrine section of the config reference.

Doctrine Field Types Reference

Doctrine comes with numerous field types available. Each of these maps a PHP data type to a specific column type in whatever database you're using. For each field type, the Column can be configured further, setting the length, nullable behavior, name and other options. To see a list of all available types and more information, see Doctrine's Mapping Types documentation.

Relationships and Associations

Doctrine provides all the functionality you need to manage database relationships (also known as associations). For info, see How to Work with Doctrine Associations / Relations.

Final Thoughts

With Doctrine, you can focus on your objects and how they're used in your application and worry about database persistence second. This is because Doctrine allows you to use any PHP object to hold your data and relies on mapping metadata information to map an object's data to a particular database table.

Doctrine has a lot more complex features to learn, like relationships, complex queries, and event listeners.

Learn more

This work, including the code samples, is licensed under a Creative Commons BY-SA 3.0 license.
TOC
    Version
    Check Code Performance in Dev, Test, Staging & Production

    Check Code Performance in Dev, Test, Staging & Production

    Peruse our complete Symfony & PHP solutions catalog for your web development needs.

    Peruse our complete Symfony & PHP solutions catalog for your web development needs.