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Working with Objects
In this chapter we will help you understand the EntityManager
and the UnitOfWork
. A Unit of Work is similar to an
object-level transaction. A new Unit of Work is implicitly started
when an EntityManager is initially created or after
EntityManager#flush()
has been invoked. A Unit of Work is
committed (and a new one started) by invoking
EntityManager#flush()
.
A Unit of Work can be manually closed by calling EntityManager#close(). Any changes to objects within this Unit of Work that have not yet been persisted are lost.
It is very important to understand that only
Not calling |
Doctrine NEVER touches the public API of methods in your entity classes (like getters and setters) nor the constructor method. Instead, it uses reflection to get/set data from/to your entity objects. When Doctrine fetches data from DB and saves it back, any code put in your get/set methods won't be implicitly taken into account. |
Entities and the Identity Map
Entities are objects with identity. Their identity has a conceptual meaning inside your domain. In a CMS application each article has a unique id. You can uniquely identify each article by that id.
Take the following example, where you find an article with the headline "Hello World" with the ID 1234:
In this case the Article is accessed from the entity manager twice, but modified in between. Doctrine ORM realizes this and will only ever give you access to one instance of the Article with ID 1234, no matter how often do you retrieve it from the EntityManager and even no matter what kind of Query method you are using (find, Repository Finder or DQL). This is called "Identity Map" pattern, which means Doctrine keeps a map of each entity and ids that have been retrieved per PHP request and keeps returning you the same instances.
In the previous example the echo prints "Hello World dude!" to the
screen. You can even verify that $article
and $article2
are
indeed pointing to the same instance by running the following
code:
Sometimes you want to clear the identity map of an EntityManager to
start over. We use this regularly in our unit-tests to enforce
loading objects from the database again instead of serving them
from the identity map. You can call EntityManager#clear()
to
achieve this result.
Entity Object Graph Traversal
Although Doctrine allows for a complete separation of your domain model (Entity classes) there will never be a situation where objects are "missing" when traversing associations. You can walk all the associations inside your entity models as deep as you want.
Take the following example of a single Article
entity fetched
from newly opened EntityManager.
1 <?php
#[Entity]
class Article
{
#[Id, Column(type: 'integer'), GeneratedValue]
private int|null $id = null;
#[Column(type: 'string')]
private string $headline;
#[ManyToOne(targetEntity: User::class)]
private User|null $author = null;
/** @var Collection<int, Comment> */
#[OneToMany(targetEntity: Comment::class, mappedBy: 'article')]
private Collection $comments;
public function __construct()
{
$this->comments = new ArrayCollection();
}
public function getAuthor(): User|null { return $this->author; }
public function getComments(): Collection { return $this->comments; }
}
$article = $em->find('Article', 1);
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This code only retrieves the Article
instance with id 1 executing
a single SELECT statement against the articles table in the database.
You can still access the associated properties author and comments
and the associated objects they contain.
This works by utilizing the lazy loading pattern. Instead of passing you back a real Author instance and a collection of comments Doctrine will create proxy instances for you. Only if you access these proxies for the first time they will go through the EntityManager and load their state from the database.
This lazy-loading process happens behind the scenes, hidden from your code. See the following code:
1 <?php
$article = $em->find('Article', 1);
// accessing a method of the user instance triggers the lazy-load
echo "Author: " . $article->getAuthor()->getName() . "\n";
// Lazy Loading Proxies pass instanceof tests:
if ($article->getAuthor() instanceof User) {
// a User Proxy is a generated "UserProxy" class
}
// accessing the comments as an iterator triggers the lazy-load
// retrieving ALL the comments of this article from the database
// using a single SELECT statement
foreach ($article->getComments() as $comment) {
echo $comment->getText() . "\n\n";
}
// Article::$comments passes instanceof tests for the Collection interface
// But it will NOT pass for the ArrayCollection interface
if ($article->getComments() instanceof \Doctrine\Common\Collections\Collection) {
echo "This will always be true!";
}
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Traversing the object graph for parts that are lazy-loaded will easily trigger lots of SQL queries and will perform badly if used to heavily. Make sure to use DQL to fetch-join all the parts of the object-graph that you need as efficiently as possible. |
Persisting entities
An entity can be made persistent by passing it to the
EntityManager#persist($entity)
method. By applying the persist
operation on some entity, that entity becomes MANAGED, which means
that its persistence is from now on managed by an EntityManager. As
a result the persistent state of such an entity will subsequently
be properly synchronized with the database when
EntityManager#flush()
is invoked.
Invoking the |
Example:
Generated entity identifiers / primary keys are
guaranteed to be available after the next successful flush
operation that involves the entity in question. You can not rely on
a generated identifier to be available directly after invoking
|
The semantics of the persist operation, applied on an entity X, are as follows:
- If X is a new entity, it becomes managed. The entity X will be entered into the database as a result of the flush operation.
- If X is a preexisting managed entity, it is ignored by the persist operation. However, the persist operation is cascaded to entities referenced by X, if the relationships from X to these other entities are mapped with cascade=PERSIST or cascade=ALL (see "Transitive persistence / Cascade Operations").
- If X is a removed entity, it becomes managed.
- If X is a detached entity, an exception will be thrown on flush.
Do not pass detached entities to the persist operation. The persist operation always
considers entities that are not yet known to the |
Removing entities
An entity can be removed from persistent storage by passing it to
the EntityManager#remove($entity)
method. By applying the
remove
operation on some entity, that entity becomes REMOVED,
which means that its persistent state will be deleted once
EntityManager#flush()
is invoked.
Just like |
Example:
The semantics of the remove operation, applied to an entity X are as follows:
- If X is a new entity, it is ignored by the remove operation. However, the remove operation is cascaded to entities referenced by X, if the relationship from X to these other entities is mapped with cascade=REMOVE or cascade=ALL (see "Transitive persistence / Cascade Operations").
- If X is a managed entity, the remove operation causes it to become removed. The remove operation is cascaded to entities referenced by X, if the relationships from X to these other entities is mapped with cascade=REMOVE or cascade=ALL (see "Transitive persistence / Cascade Operations").
- If X is a detached entity, an InvalidArgumentException will be thrown.
- If X is a removed entity, it is ignored by the remove operation.
- A removed entity X will be removed from the database as a result of the flush operation.
After an entity has been removed, its in-memory state is the same as before the removal, except for generated identifiers.
Removing an entity will also automatically delete any existing
records in many-to-many join tables that link this entity. The
action taken depends on the value of the @joinColumn
mapping
attribute "onDelete". Either Doctrine issues a dedicated DELETE
statement for records of each join table or it depends on the
foreign key semantics of onDelete="CASCADE".
Deleting an object with all its associated objects can be achieved in multiple ways with very different performance impacts.
- If an association is marked as
CASCADE=REMOVE
Doctrine ORM will fetch this association. If its a Single association it will pass this entity toEntityManager#remove()
. If the association is a collection, Doctrine will loop over all its elements and pass them toEntityManager#remove()
. In both cases the cascade remove semantics are applied recursively. For large object graphs this removal strategy can be very costly. - Using a DQL
DELETE
statement allows you to delete multiple entities of a type with a single command and without hydrating these entities. This can be very efficient to delete large object graphs from the database. - Using foreign key semantics
onDelete="CASCADE"
can force the database to remove all associated objects internally. This strategy is a bit tricky to get right but can be very powerful and fast. You should be aware however that using strategy 1 (CASCADE=REMOVE
) completely by-passes any foreign keyonDelete=CASCADE
option, because Doctrine will fetch and remove all associated entities explicitly nevertheless.
Calling |
Detaching entities
An entity is detached from an EntityManager and thus no longer
managed by invoking the EntityManager#detach($entity)
method on
it or by cascading the detach operation to it. Changes made to the
detached entity, if any (including removal of the entity), will not
be synchronized to the database after the entity has been
detached.
Doctrine will not hold on to any references to a detached entity.
Example:
The semantics of the detach operation, applied to an entity X are as follows:
- If X is a managed entity, the detach operation causes it to become detached. The detach operation is cascaded to entities referenced by X, if the relationships from X to these other entities is mapped with cascade=DETACH or cascade=ALL (see "Transitive persistence / Cascade Operations"). Entities which previously referenced X will continue to reference X.
- If X is a new or detached entity, it is ignored by the detach operation.
- If X is a removed entity, the detach operation is cascaded to entities referenced by X, if the relationships from X to these other entities is mapped with cascade=DETACH or cascade=ALL (see "Transitive persistence / Cascade Operations"). Entities which previously referenced X will continue to reference X.
There are several situations in which an entity is detached
automatically without invoking the detach
method:
- When
EntityManager#clear()
is invoked, all entities that are currently managed by the EntityManager instance become detached. - When serializing an entity. The entity retrieved upon subsequent unserialization will be detached (This is the case for all entities that are serialized and stored in some cache).
The detach
operation is usually not as frequently needed and
used as persist
and remove
.
Merging entities
Merging entities refers to the merging of (usually detached)
entities into the context of an EntityManager so that they become
managed again. To merge the state of an entity into an
EntityManager use the EntityManager#merge($entity)
method. The
state of the passed entity will be merged into a managed copy of
this entity and this copy will subsequently be returned.
Example:
The semantics of the merge operation, applied to an entity X, are as follows:
- If X is a detached entity, the state of X is copied onto a pre-existing managed entity instance X' of the same identity.
- If X is a new entity instance, a new managed copy X' will be created and the state of X is copied onto this managed instance.
- If X is a removed entity instance, an InvalidArgumentException will be thrown.
- If X is a managed entity, it is ignored by the merge operation, however, the merge operation is cascaded to entities referenced by relationships from X if these relationships have been mapped with the cascade element value MERGE or ALL (see "Transitive persistence / Cascade Operations").
- For all entities Y referenced by relationships from X having the cascade element value MERGE or ALL, Y is merged recursively as Y'. For all such Y referenced by X, X' is set to reference Y'. (Note that if X is managed then X is the same object as X'.)
- If X is an entity merged to X', with a reference to another entity Y, where cascade=MERGE or cascade=ALL is not specified, then navigation of the same association from X' yields a reference to a managed object Y' with the same persistent identity as Y.
The merge
operation will throw an OptimisticLockException
if the entity being merged uses optimistic locking through a
version field and the versions of the entity being merged and the
managed copy don't match. This usually means that the entity has
been modified while being detached.
The merge
operation is usually not as frequently needed and
used as persist
and remove
. The most common scenario for
the merge
operation is to reattach entities to an EntityManager
that come from some cache (and are therefore detached) and you want
to modify and persist such an entity.
If you need to perform multiple merges of entities that share certain subparts
of their object-graphs and cascade merge, then you have to call |
If you load some detached entities from a cache and you do
not need to persist or delete them or otherwise make use of them
without the need for persistence services there is no need to use
|
Synchronization with the Database
The state of persistent entities is synchronized with the database
on flush of an EntityManager
which commits the underlying
UnitOfWork
. The synchronization involves writing any updates to
persistent entities and their relationships to the database.
Thereby bidirectional relationships are persisted based on the
references held by the owning side of the relationship as explained
in the Association Mapping chapter.
When EntityManager#flush()
is called, Doctrine inspects all
managed, new and removed entities and will perform the following
operations.
Effects of Database and UnitOfWork being Out-Of-Sync
As soon as you begin to change the state of entities, call persist or remove the
contents of the UnitOfWork and the database will drive out of sync. They can
only be synchronized by calling EntityManager#flush()
. This section
describes the effects of database and UnitOfWork being out of sync.
- Entities that are scheduled for removal can still be queried from the database. They are returned from DQL and Repository queries and are visible in collections.
- Entities that are passed to
EntityManager#persist
do not turn up in query results. - Entities that have changed will not be overwritten with the state from the database. This is because the identity map will detect the construction of an already existing entity and assumes its the most up to date version.
EntityManager#flush()
is never called implicitly by Doctrine. You always have to trigger it manually.
Synchronizing New and Managed Entities
The flush operation applies to a managed entity with the following semantics:
- The entity itself is synchronized to the database using a SQL UPDATE statement, only if at least one persistent field has changed.
- No SQL updates are executed if the entity did not change.
The flush operation applies to a new entity with the following semantics:
- The entity itself is synchronized to the database using a SQL INSERT statement.
For all (initialized) relationships of the new or managed entity the following semantics apply to each associated entity X:
- If X is new and persist operations are configured to cascade on the relationship, X will be persisted.
- If X is new and no persist operations are configured to cascade on the relationship, an exception will be thrown as this indicates a programming error.
- If X is removed and persist operations are configured to cascade on the relationship, an exception will be thrown as this indicates a programming error (X would be re-persisted by the cascade).
- If X is detached and persist operations are configured to cascade on the relationship, an exception will be thrown (This is semantically the same as passing X to persist()).
Synchronizing Removed Entities
The flush operation applies to a removed entity by deleting its
persistent state from the database. No cascade options are relevant
for removed entities on flush, the cascade remove option is already
executed during EntityManager#remove($entity)
.
The size of a Unit of Work
The size of a Unit of Work mainly refers to the number of managed entities at a particular point in time.
The cost of flushing
How costly a flush operation is, mainly depends on two factors:
- The size of the EntityManager's current UnitOfWork.
- The configured change tracking policies
You can get the size of a UnitOfWork as follows:
The size represents the number of managed entities in the Unit of Work. This size affects the performance of flush() operations due to change tracking (see "Change Tracking Policies") and, of course, memory consumption, so you may want to check it from time to time during development.
Do not invoke |
Direct access to a Unit of Work
You can get direct access to the Unit of Work by calling
EntityManager#getUnitOfWork()
. This will return the UnitOfWork
instance the EntityManager is currently using.
Directly manipulating a UnitOfWork is not recommended. When working directly with the UnitOfWork API, respect methods marked as INTERNAL by not using them and carefully read the API documentation. |
Entity State
As outlined in the architecture overview an entity can be in one of
four possible states: NEW, MANAGED, REMOVED, DETACHED. If you
explicitly need to find out what the current state of an entity is
in the context of a certain EntityManager
you can ask the
underlying UnitOfWork
:
An entity is in MANAGED state if it is associated with an
EntityManager
and it is not REMOVED.
An entity is in REMOVED state after it has been passed to
EntityManager#remove()
until the next flush operation of the
same EntityManager. A REMOVED entity is still associated with an
EntityManager
until the next flush operation.
An entity is in DETACHED state if it has persistent state and
identity but is currently not associated with an
EntityManager
.
An entity is in NEW state if has no persistent state and identity
and is not associated with an EntityManager
(for example those
just created via the "new" operator).
Querying
Doctrine ORM provides the following ways, in increasing level of power and flexibility, to query for persistent objects. You should always start with the simplest one that suits your needs.
By Primary Key
The most basic way to query for a persistent object is by its
identifier / primary key using the
EntityManager#find($entityName, $id)
method. Here is an
example:
The return value is either the found entity instance or null if no instance could be found with the given identifier.
Essentially, EntityManager#find()
is just a shortcut for the
following:
EntityManager#getRepository($entityName)
returns a repository
object which provides many ways to retrieve entities of the
specified type. By default, the repository instance is of type
Doctrine\ORM\EntityRepository
. You can also use custom
repository classes as shown later.
By Simple Conditions
To query for one or more entities based on several conditions that
form a logical conjunction, use the findBy
and findOneBy
methods on a repository as follows:
1 <?php
// $em instanceof EntityManager
// All users that are 20 years old
$users = $em->getRepository('MyProject\Domain\User')->findBy(array('age' => 20));
// All users that are 20 years old and have a surname of 'Miller'
$users = $em->getRepository('MyProject\Domain\User')->findBy(array('age' => 20, 'surname' => 'Miller'));
// A single user by its nickname
$user = $em->getRepository('MyProject\Domain\User')->findOneBy(array('nickname' => 'romanb'));
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You can also load by owning side associations through the repository:
The EntityRepository#findBy()
method additionally accepts orderings, limit and offset as second to fourth parameters:
If you pass an array of values Doctrine will convert the query into a WHERE field IN (..) query automatically:
An EntityRepository also provides a mechanism for more concise
calls through its use of __call
. Thus, the following two
examples are equivalent:
Additionally, you can just count the result of the provided conditions when you don't really need the data:
By Criteria
The Repository implement the Doctrine\Common\Collections\Selectable
interface. That means you can build Doctrine\Common\Collections\Criteria
and pass them to the matching($criteria)
method.
See section Filtering collections
of chapter Working with Associations
By Eager Loading
Whenever you query for an entity that has persistent associations and these associations are mapped as EAGER, they will automatically be loaded together with the entity being queried and is thus immediately available to your application.
By Lazy Loading
Whenever you have a managed entity instance at hand, you can traverse and use any associations of that entity that are configured LAZY as if they were in-memory already. Doctrine will automatically load the associated objects on demand through the concept of lazy-loading.
By DQL
The most powerful and flexible method to query for persistent objects is the Doctrine Query Language, an object query language. DQL enables you to query for persistent objects in the language of objects. DQL understands classes, fields, inheritance and associations. DQL is syntactically very similar to the familiar SQL but it is not SQL.
A DQL query is represented by an instance of the
Doctrine\ORM\Query
class. You create a query using
EntityManager#createQuery($dql)
. Here is a simple example:
Note that this query contains no knowledge about the relational
schema, only about the object model. DQL supports positional as
well as named parameters, many functions, (fetch) joins,
aggregates, subqueries and much more. Detailed information about
DQL and its syntax as well as the Doctrine class can be found in
the dedicated chapter.
For programmatically building up queries based on conditions that
are only known at runtime, Doctrine provides the special
Doctrine\ORM\QueryBuilder
class. While this a powerful tool,
it also brings more complexity to your code compared to plain DQL,
so you should only use it when you need it. More information on
constructing queries with a QueryBuilder can be found
in Query Builder chapter.
By Native Queries
As an alternative to DQL or as a fallback for special SQL statements native queries can be used. Native queries are built by using a hand-crafted SQL query and a ResultSetMapping that describes how the SQL result set should be transformed by Doctrine. More information about native queries can be found in the dedicated chapter.
Custom Repositories
By default the EntityManager returns a default implementation of
Doctrine\ORM\EntityRepository
when you call
EntityManager#getRepository($entityClass)
. You can overwrite
this behaviour by specifying the class name of your own Entity
Repository in the Attribute, Annotation, XML or YAML metadata. In large
applications that require lots of specialized DQL queries using a
custom repository is one recommended way of grouping these queries
in a central location.
1 <?php
namespace MyDomain\Model;
use MyDomain\Model\UserRepository;
use Doctrine\ORM\EntityRepository;
use Doctrine\ORM\Mapping as ORM;
#[ORM\Entity(repositoryClass: UserRepository::class)]
class User
{
}
class UserRepository extends EntityRepository
{
/** @return Collection<User> */
public function getAllAdminUsers(): Collection
{
return $this->_em->createQuery('SELECT u FROM MyDomain\Model\User u WHERE u.status = "admin"')
->getResult();
}
}
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You can access your repository now by calling: