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git-subtree-dir: docs
git-subtree-mainline: 271bd37ad3
git-subtree-split: 8fcf2d4501
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en/_exts/configurationblock.pyc
build
en/_build
.idea

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[submodule "en/_theme"]
path = en/_theme
url = https://github.com/doctrine/doctrine-sphinx-theme.git

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# Doctrine ORM Documentation
## How to Generate
1. Run ./bin/install-dependencies.sh
2. Run ./bin/generate-docs.sh
It will generate the documentation into the build directory of the checkout.

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#!/bin/bash
EXECPATH=`dirname $0`
cd $EXECPATH
cd ..
rm build -Rf
sphinx-build en build
sphinx-build -b latex en build/pdf
rubber --into build/pdf --pdf build/pdf/Doctrine2ORM.tex

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#!/bin/bash
sudo apt-get install python25 python25-dev texlive-full rubber
sudo easy_install pygments
sudo easy_install sphinx

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# Makefile for Sphinx documentation
#
# You can set these variables from the command line.
SPHINXOPTS =
SPHINXBUILD = sphinx-build
PAPER =
BUILDDIR = _build
# Internal variables.
PAPEROPT_a4 = -D latex_paper_size=a4
PAPEROPT_letter = -D latex_paper_size=letter
ALLSPHINXOPTS = -d $(BUILDDIR)/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) .
.PHONY: help clean html dirhtml pickle json htmlhelp qthelp latex changes linkcheck doctest
help:
@echo "Please use \`make <target>' where <target> is one of"
@echo " html to make standalone HTML files"
@echo " dirhtml to make HTML files named index.html in directories"
@echo " pickle to make pickle files"
@echo " json to make JSON files"
@echo " htmlhelp to make HTML files and a HTML help project"
@echo " qthelp to make HTML files and a qthelp project"
@echo " latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter"
@echo " changes to make an overview of all changed/added/deprecated items"
@echo " linkcheck to check all external links for integrity"
@echo " doctest to run all doctests embedded in the documentation (if enabled)"
clean:
-rm -rf $(BUILDDIR)/*
html:
$(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html
@echo
@echo "Build finished. The HTML pages are in $(BUILDDIR)/html."
dirhtml:
$(SPHINXBUILD) -b dirhtml $(ALLSPHINXOPTS) $(BUILDDIR)/dirhtml
@echo
@echo "Build finished. The HTML pages are in $(BUILDDIR)/dirhtml."
pickle:
$(SPHINXBUILD) -b pickle $(ALLSPHINXOPTS) $(BUILDDIR)/pickle
@echo
@echo "Build finished; now you can process the pickle files."
json:
$(SPHINXBUILD) -b json $(ALLSPHINXOPTS) $(BUILDDIR)/json
@echo
@echo "Build finished; now you can process the JSON files."
htmlhelp:
$(SPHINXBUILD) -b htmlhelp $(ALLSPHINXOPTS) $(BUILDDIR)/htmlhelp
@echo
@echo "Build finished; now you can run HTML Help Workshop with the" \
".hhp project file in $(BUILDDIR)/htmlhelp."
qthelp:
$(SPHINXBUILD) -b qthelp $(ALLSPHINXOPTS) $(BUILDDIR)/qthelp
@echo
@echo "Build finished; now you can run "qcollectiongenerator" with the" \
".qhcp project file in $(BUILDDIR)/qthelp, like this:"
@echo "# qcollectiongenerator $(BUILDDIR)/qthelp/Doctrine2ORM.qhcp"
@echo "To view the help file:"
@echo "# assistant -collectionFile $(BUILDDIR)/qthelp/Doctrine2ORM.qhc"
latex:
$(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex
@echo
@echo "Build finished; the LaTeX files are in $(BUILDDIR)/latex."
@echo "Run \`make all-pdf' or \`make all-ps' in that directory to" \
"run these through (pdf)latex."
changes:
$(SPHINXBUILD) -b changes $(ALLSPHINXOPTS) $(BUILDDIR)/changes
@echo
@echo "The overview file is in $(BUILDDIR)/changes."
linkcheck:
$(SPHINXBUILD) -b linkcheck $(ALLSPHINXOPTS) $(BUILDDIR)/linkcheck
@echo
@echo "Link check complete; look for any errors in the above output " \
"or in $(BUILDDIR)/linkcheck/output.txt."
doctest:
$(SPHINXBUILD) -b doctest $(ALLSPHINXOPTS) $(BUILDDIR)/doctest
@echo "Testing of doctests in the sources finished, look at the " \
"results in $(BUILDDIR)/doctest/output.txt."

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#Copyright (c) 2010 Fabien Potencier
#
#Permission is hereby granted, free of charge, to any person obtaining a copy
#of this software and associated documentation files (the "Software"), to deal
#in the Software without restriction, including without limitation the rights
#to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
#copies of the Software, and to permit persons to whom the Software is furnished
#to do so, subject to the following conditions:
#
#The above copyright notice and this permission notice shall be included in all
#copies or substantial portions of the Software.
#
#THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
#IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
#FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
#AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
#LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
#OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
#THE SOFTWARE.
from docutils.parsers.rst import Directive, directives
from docutils import nodes
from string import upper
class configurationblock(nodes.General, nodes.Element):
pass
class ConfigurationBlock(Directive):
has_content = True
required_arguments = 0
optional_arguments = 0
final_argument_whitespace = True
option_spec = {}
formats = {
'html': 'HTML',
'xml': 'XML',
'php': 'PHP',
'yaml': 'YAML',
'jinja': 'Twig',
'html+jinja': 'Twig',
'jinja+html': 'Twig',
'php+html': 'PHP',
'html+php': 'PHP',
'ini': 'INI',
'php-annotations': 'Annotations',
}
def run(self):
env = self.state.document.settings.env
node = nodes.Element()
node.document = self.state.document
self.state.nested_parse(self.content, self.content_offset, node)
entries = []
for i, child in enumerate(node):
if isinstance(child, nodes.literal_block):
# add a title (the language name) before each block
#targetid = "configuration-block-%d" % env.new_serialno('configuration-block')
#targetnode = nodes.target('', '', ids=[targetid])
#targetnode.append(child)
innernode = nodes.emphasis(self.formats[child['language']], self.formats[child['language']])
para = nodes.paragraph()
para += [innernode, child]
entry = nodes.list_item('')
entry.append(para)
entries.append(entry)
resultnode = configurationblock()
resultnode.append(nodes.bullet_list('', *entries))
return [resultnode]
def visit_configurationblock_html(self, node):
self.body.append(self.starttag(node, 'div', CLASS='configuration-block'))
def depart_configurationblock_html(self, node):
self.body.append('</div>\n')
def visit_configurationblock_latex(self, node):
pass
def depart_configurationblock_latex(self, node):
pass
def setup(app):
app.add_node(configurationblock,
html=(visit_configurationblock_html, depart_configurationblock_html),
latex=(visit_configurationblock_latex, depart_configurationblock_latex))
app.add_directive('configuration-block', ConfigurationBlock)

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Subproject commit 5aa024c9284228ed76c7a9aa785229cf19f396e3

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# -*- coding: utf-8 -*-
#
# Doctrine 2 ORM documentation build configuration file, created by
# sphinx-quickstart on Fri Dec 3 18:10:24 2010.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that are commented out
# serve to show the default.
import sys, os
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
sys.path.append(os.path.abspath('_exts'))
# -- General configuration -----------------------------------------------------
# Add any Sphinx extension module names here, as strings. They can be extensions
# coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
extensions = ['configurationblock']
# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']
# The suffix of source filenames.
source_suffix = '.rst'
# The encoding of source files.
#source_encoding = 'utf-8'
# The master toctree document.
master_doc = 'index'
# General information about the project.
project = u'Doctrine 2 ORM'
copyright = u'2010-12, Doctrine Project Team'
# The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the
# built documents.
#
# The short X.Y version.
version = '2.2'
# The full version, including alpha/beta/rc tags.
release = '2.2'
# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
language = 'en'
# There are two options for replacing |today|: either, you set today to some
# non-false value, then it is used:
#today = ''
# Else, today_fmt is used as the format for a strftime call.
#today_fmt = '%B %d, %Y'
# List of documents that shouldn't be included in the build.
#unused_docs = []
# List of directories, relative to source directory, that shouldn't be searched
# for source files.
exclude_trees = ['_build']
# The reST default role (used for this markup: `text`) to use for all documents.
#default_role = None
# If true, '()' will be appended to :func: etc. cross-reference text.
#add_function_parentheses = True
# If true, the current module name will be prepended to all description
# unit titles (such as .. function::).
#add_module_names = True
# If true, sectionauthor and moduleauthor directives will be shown in the
# output. They are ignored by default.
show_authors = True
# The name of the Pygments (syntax highlighting) style to use.
pygments_style = 'sphinx'
# A list of ignored prefixes for module index sorting.
#modindex_common_prefix = []
# -- Options for HTML output ---------------------------------------------------
# The theme to use for HTML and HTML Help pages. Major themes that come with
# Sphinx are currently 'default' and 'sphinxdoc'.
html_theme = 'doctrine'
# Theme options are theme-specific and customize the look and feel of a theme
# further. For a list of options available for each theme, see the
# documentation.
#html_theme_options = {}
# Add any paths that contain custom themes here, relative to this directory.
html_theme_path = ['_theme']
# The name for this set of Sphinx documents. If None, it defaults to
# "<project> v<release> documentation".
#html_title = None
# A shorter title for the navigation bar. Default is the same as html_title.
#html_short_title = None
# The name of an image file (relative to this directory) to place at the top
# of the sidebar.
#html_logo = None
# The name of an image file (within the static path) to use as favicon of the
# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32
# pixels large.
#html_favicon = None
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']
# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
# using the given strftime format.
#html_last_updated_fmt = '%b %d, %Y'
# If true, SmartyPants will be used to convert quotes and dashes to
# typographically correct entities.
#html_use_smartypants = True
# Custom sidebar templates, maps document names to template names.
#html_sidebars = {}
# Additional templates that should be rendered to pages, maps page names to
# template names.
#html_additional_pages = {}
# If false, no module index is generated.
#html_use_modindex = True
# If false, no index is generated.
#html_use_index = True
# If true, the index is split into individual pages for each letter.
#html_split_index = False
# If true, links to the reST sources are added to the pages.
#html_show_sourcelink = True
# If true, an OpenSearch description file will be output, and all pages will
# contain a <link> tag referring to it. The value of this option must be the
# base URL from which the finished HTML is served.
#html_use_opensearch = ''
# If nonempty, this is the file name suffix for HTML files (e.g. ".xhtml").
#html_file_suffix = ''
# Output file base name for HTML help builder.
htmlhelp_basename = 'Doctrine2ORMdoc'
# -- Options for LaTeX output --------------------------------------------------
# The paper size ('letter' or 'a4').
#latex_paper_size = 'letter'
# The font size ('10pt', '11pt' or '12pt').
#latex_font_size = '10pt'
# Grouping the document tree into LaTeX files. List of tuples
# (source start file, target name, title, author, documentclass [howto/manual]).
latex_documents = [
('index', 'Doctrine2ORM.tex', u'Doctrine 2 ORM Documentation',
u'Doctrine Project Team', 'manual'),
]
# The name of an image file (relative to this directory) to place at the top of
# the title page.
#latex_logo = None
# For "manual" documents, if this is true, then toplevel headings are parts,
# not chapters.
#latex_use_parts = False
# Additional stuff for the LaTeX preamble.
#latex_preamble = ''
# Documents to append as an appendix to all manuals.
#latex_appendices = []
# If false, no module index is generated.
#latex_use_modindex = True

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Advanced field value conversion using custom mapping types
==========================================================
.. sectionauthor:: Jan Sorgalla <jsorgalla@googlemail.com>
When creating entities, you sometimes have the need to transform field values
before they are saved to the database. In Doctrine you can use Custom Mapping
Types to solve this (see: :ref:`reference-basic-mapping-custom-mapping-types`).
There are several ways to achieve this: converting the value inside the Type
class, converting the value on the database-level or a combination of both.
This article describes the third way by implementing the MySQL specific column
type `Point <http://dev.mysql.com/doc/refman/5.5/en/gis-class-point.html>`_.
The ``Point`` type is part of the `Spatial extension <http://dev.mysql.com/doc/refman/5.5/en/spatial-extensions.html>`_
of MySQL and enables you to store a single location in a coordinate space by
using x and y coordinates. You can use the Point type to store a
longitude/latitude pair to represent a geographic location.
The entity
----------
We create a simple entity with a field ``$point`` which holds a value object
``Point`` representing the latitude and longitude of the position.
The entity class:
.. code-block:: php
<?php
namespace Geo\Entity;
/**
* @Entity
*/
class Location
{
/**
* @Column(type="point")
*
* @var \Geo\ValueObject\Point
*/
private $point;
/**
* @Column(type="string")
*
* @var string
*/
private $address;
/**
* @param \Geo\ValueObject\Point $point
*/
public function setPoint(\Geo\ValueObject\Point $point)
{
$this->point = $point;
}
/**
* @return \Geo\ValueObject\Point
*/
public function getPoint()
{
return $this->point;
}
/**
* @param string $address
*/
public function setAddress($address)
{
$this->address = $address;
}
/**
* @return string
*/
public function getAddress()
{
return $this->address;
}
}
We use the custom type ``point`` in the ``@Column`` docblock annotation of the
``$point`` field. We will create this custom mapping type in the next chapter.
The point class:
.. code-block:: php
<?php
namespace Geo\ValueObject;
class Point
{
/**
* @param float $latitude
* @param float $longitude
*/
public function __construct($latitude, $longitude)
{
$this->latitude = $latitude;
$this->longitude = $longitude;
}
/**
* @return float
*/
public function getLatitude()
{
return $this->latitude;
}
/**
* @return float
*/
public function getLongitude()
{
return $this->longitude;
}
}
The mapping type
----------------
Now we're going to create the ``point`` type and implement all required methods.
.. code-block:: php
<?php
namespace Geo\Types;
use Doctrine\DBAL\Types\Type;
use Doctrine\DBAL\Platforms\AbstractPlatform;
use Geo\ValueObject\Point;
class PointType extends Type
{
const POINT = 'point';
public function getName()
{
return self::POINT;
}
public function getSqlDeclaration(array $fieldDeclaration, AbstractPlatform $platform)
{
return 'POINT';
}
public function convertToPHPValue($value, AbstractPlatform $platform)
{
list($longitude, $latitude) = sscanf($value, 'POINT(%f %f)');
return new Point($latitude, $longitude);
}
public function convertToDatabaseValue($value, AbstractPlatform $platform)
{
if ($value instanceof Point) {
$value = sprintf('POINT(%F %F)', $value->getLongitude(), $value->getLatitude());
}
return $value;
}
public function canRequireSQLConversion()
{
return true;
}
public function convertToPHPValueSQL($sqlExpr, AbstractPlatform $platform)
{
return sprintf('AsText(%s)', $sqlExpr);
}
public function convertToDatabaseValueSQL($sqlExpr, AbstractPlatform $platform)
{
return sprintf('PointFromText(%s)', $sqlExpr);
}
}
We do a 2-step conversion here. In the first step, we convert the ``Point``
object into a string representation before saving to the database (in the
``convertToDatabaseValue`` method) and back into an object after fetching the
value from the database (in the ``convertToPHPValue`` method).
The format of the string representation format is called `Well-known text (WKT)
<http://en.wikipedia.org/wiki/Well-known_text>`_. The advantage of this format
is, that it is both human readable and parsable by MySQL.
Internally, MySQL stores geometry values in a binary format that is not
identical to the WKT format. So, we need to let MySQL transform the WKT
representation into its internal format.
This is where the ``convertToPHPValueSQL`` and ``convertToDatabaseValueSQL``
methods come into play.
This methods wrap a sql expression (the WKT representation of the Point) into
MySQL functions `PointFromText <http://dev.mysql.com/doc/refman/5.5/en/creating-spatial-values.html#function_pointfromtext>`_
and `AsText <http://dev.mysql.com/doc/refman/5.5/en/functions-to-convert-geometries-between-formats.html#function_astext>`_
which convert WKT strings to and from the internal format of MySQL.
.. note::
When using DQL queries, the ``convertToPHPValueSQL`` and
``convertToDatabaseValueSQL`` methods only apply to identification variables
and path expressions in SELECT clauses. Expressions in WHERE clauses are
**not** wrapped!
If you want to use Point values in WHERE clauses, you have to implement a
:doc:`user defined function <dql-user-defined-functions>` for
``PointFromText``.
Example usage
-------------
.. code-block:: php
<?php
// Bootstrapping stuff...
// $em = \Doctrine\ORM\EntityManager::create($connectionOptions, $config);
// Setup custom mapping type
use Doctrine\DBAL\Types\Type;
Type::addType('point', 'Geo\Types\Point');
$em->getConnection()->getDatabasePlatform()->registerDoctrineTypeMapping('point', 'point');
// Store a Location object
use Geo\Entity\Location;
use Geo\ValueObject\Point;
$location = new Location();
$location->setAddress('1600 Amphitheatre Parkway, Mountain View, CA');
$location->setPoint(new Point(37.4220761, -122.0845187));
$em->persist($location);
$em->flush();
$em->clear();
// Fetch the Location object
$query = $em->createQuery("SELECT l FROM Geo\Entity\Location WHERE l.address = '1600 Amphitheatre Parkway, Mountain View, CA'");
$location = $query->getSingleResult();
/* @var Geo\ValueObject\Point */
$point = $location->getPoint();

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Aggregate Fields
================
.. sectionauthor:: Benjamin Eberlei <kontakt@beberlei.de>
You will often come across the requirement to display aggregate
values of data that can be computed by using the MIN, MAX, COUNT or
SUM SQL functions. For any ORM this is a tricky issue
traditionally. Doctrine 2 offers several ways to get access to
these values and this article will describe all of them from
different perspectives.
You will see that aggregate fields can become very explicit
features in your domain model and how this potentially complex
business rules can be easily tested.
An example model
----------------
Say you want to model a bank account and all their entries. Entries
into the account can either be of positive or negative money
values. Each account has a credit limit and the account is never
allowed to have a balance below that value.
For simplicity we live in a world were money is composed of
integers only. Also we omit the receiver/sender name, stated reason
for transfer and the execution date. These all would have to be
added on the ``Entry`` object.
Our entities look like:
.. code-block:: php
<?php
namespace Bank\Entities;
/**
* @Entity
*/
class Account
{
/** @Id @GeneratedValue @Column(type="integer") */
private $id;
/** @Column(type="string", unique=true) */
private $no;
/**
* @OneToMany(targetEntity="Entry", mappedBy="account", cascade={"persist"})
*/
private $entries;
/**
* @Column(type="integer")
*/
private $maxCredit = 0;
public function __construct($no, $maxCredit = 0)
{
$this->no = $no;
$this->maxCredit = $maxCredit;
$this->entries = new \Doctrine\Common\Collections\ArrayCollection();
}
}
/**
* @Entity
*/
class Entry
{
/** @Id @GeneratedValue @Column(type="integer") */
private $id;
/**
* @ManyToOne(targetEntity="Account", inversedBy="entries")
*/
private $account;
/**
* @Column(type="integer")
*/
private $amount;
public function __construct($account, $amount)
{
$this->account = $account;
$this->amount = $amount;
// more stuff here, from/to whom, stated reason, execution date and such
}
public function getAmount()
{
return $this->amount;
}
}
Using DQL
---------
The Doctrine Query Language allows you to select for aggregate
values computed from fields of your Domain Model. You can select
the current balance of your account by calling:
.. code-block:: php
<?php
$dql = "SELECT SUM(e.amount) AS balance FROM Bank\Entities\Entry e " .
"WHERE e.account = ?1";
$balance = $em->createQuery($dql)
->setParameter(1, $myAccountId)
->getSingleScalarResult();
The ``$em`` variable in this (and forthcoming) example holds the
Doctrine ``EntityManager``. We create a query for the SUM of all
amounts (negative amounts are withdraws) and retrieve them as a
single scalar result, essentially return only the first column of
the first row.
This approach is simple and powerful, however it has a serious
drawback. We have to execute a specific query for the balance
whenever we need it.
To implement a powerful domain model we would rather have access to
the balance from our ``Account`` entity during all times (even if
the Account was not persisted in the database before!).
Also an additional requirement is the max credit per ``Account``
rule.
We cannot reliably enforce this rule in our ``Account`` entity with
the DQL retrieval of the balance. There are many different ways to
retrieve accounts. We cannot guarantee that we can execute the
aggregation query for all these use-cases, let alone that a
userland programmer checks this balance against newly added
entries.
Using your Domain Model
-----------------------
``Account`` and all the ``Entry`` instances are connected through a
collection, which means we can compute this value at runtime:
.. code-block:: php
<?php
class Account
{
// .. previous code
public function getBalance()
{
$balance = 0;
foreach ($this->entries AS $entry) {
$balance += $entry->getAmount();
}
return $balance;
}
}
Now we can always call ``Account::getBalance()`` to access the
current account balance.
To enforce the max credit rule we have to implement the "Aggregate
Root" pattern as described in Eric Evans book on Domain Driven
Design. Described with one sentence, an aggregate root controls the
instance creation, access and manipulation of its children.
In our case we want to enforce that new entries can only added to
the ``Account`` by using a designated method. The ``Account`` is
the aggregate root of this relation. We can also enforce the
correctness of the bi-directional ``Account`` <-> ``Entry``
relation with this method:
.. code-block:: php
<?php
class Account
{
public function addEntry($amount)
{
$this->assertAcceptEntryAllowed($amount);
$e = new Entry($this, $amount);
$this->entries[] = $e;
return $e;
}
}
Now look at the following test-code for our entities:
.. code-block:: php
<?php
class AccountTest extends \PHPUnit_Framework_TestCase
{
public function testAddEntry()
{
$account = new Account("123456", $maxCredit = 200);
$this->assertEquals(0, $account->getBalance());
$account->addEntry(500);
$this->assertEquals(500, $account->getBalance());
$account->addEntry(-700);
$this->assertEquals(-200, $account->getBalance());
}
public function testExceedMaxLimit()
{
$account = new Account("123456", $maxCredit = 200);
$this->setExpectedException("Exception");
$account->addEntry(-1000);
}
}
To enforce our rule we can now implement the assertion in
``Account::addEntry``:
.. code-block:: php
<?php
class Account
{
private function assertAcceptEntryAllowed($amount)
{
$futureBalance = $this->getBalance() + $amount;
$allowedMinimalBalance = ($this->maxCredit * -1);
if ($futureBalance < $allowedMinimalBalance) {
throw new Exception("Credit Limit exceeded, entry is not allowed!");
}
}
}
We haven't talked to the entity manager for persistence of our
account example before. You can call
``EntityManager::persist($account)`` and then
``EntityManager::flush()`` at any point to save the account to the
database. All the nested ``Entry`` objects are automatically
flushed to the database also.
.. code-block:: php
<?php
$account = new Account("123456", 200);
$account->addEntry(500);
$account->addEntry(-200);
$em->persist($account);
$em->flush();
The current implementation has a considerable drawback. To get the
balance, we have to initialize the complete ``Account::$entries``
collection, possibly a very large one. This can considerably hurt
the performance of your application.
Using an Aggregate Field
------------------------
To overcome the previously mentioned issue (initializing the whole
entries collection) we want to add an aggregate field called
"balance" on the Account and adjust the code in
``Account::getBalance()`` and ``Account:addEntry()``:
.. code-block:: php
<?php
class Account
{
/**
* @Column(type="integer")
*/
private $balance = 0;
public function getBalance()
{
return $this->balance;
}
public function addEntry($amount)
{
$this->assertAcceptEntryAllowed($amount);
$e = new Entry($this, $amount);
$this->entries[] = $e;
$this->balance += $amount;
return $e;
}
}
This is a very simple change, but all the tests still pass. Our
account entities return the correct balance. Now calling the
``Account::getBalance()`` method will not occur the overhead of
loading all entries anymore. Adding a new Entry to the
``Account::$entities`` will also not initialize the collection
internally.
Adding a new entry is therefore very performant and explicitly
hooked into the domain model. It will only update the account with
the current balance and insert the new entry into the database.
Tackling Race Conditions with Aggregate Fields
----------------------------------------------
Whenever you denormalize your database schema race-conditions can
potentially lead to inconsistent state. See this example:
.. code-block:: php
<?php
// The Account $accId has a balance of 0 and a max credit limit of 200:
// request 1 account
$account1 = $em->find('Bank\Entities\Account', $accId);
// request 2 account
$account2 = $em->find('Bank\Entities\Account', $accId);
$account1->addEntry(-200);
$account2->addEntry(-200);
// now request 1 and 2 both flush the changes.
The aggregate field ``Account::$balance`` is now -200, however the
SUM over all entries amounts yields -400. A violation of our max
credit rule.
You can use both optimistic or pessimistic locking to save-guard
your aggregate fields against this kind of race-conditions. Reading
Eric Evans DDD carefully he mentions that the "Aggregate Root"
(Account in our example) needs a locking mechanism.
Optimistic locking is as easy as adding a version column:
.. code-block:: php
<?php
class Amount
{
/** @Column(type="integer") @Version */
private $version;
}
The previous example would then throw an exception in the face of
whatever request saves the entity last (and would create the
inconsistent state).
Pessimistic locking requires an additional flag set on the
``EntityManager::find()`` call, enabling write locking directly in
the database using a FOR UPDATE.
.. code-block:: php
<?php
use Doctrine\DBAL\LockMode;
$account = $em->find('Bank\Entities\Account', $accId, LockMode::PESSIMISTIC_READ);
Keeping Updates and Deletes in Sync
-----------------------------------
The example shown in this article does not allow changes to the
value in ``Entry``, which considerably simplifies the effort to
keep ``Account::$balance`` in sync. If your use-case allows fields
to be updated or related entities to be removed you have to
encapsulate this logic in your "Aggregate Root" entity and adjust
the aggregate field accordingly.
Conclusion
----------
This article described how to obtain aggregate values using DQL or
your domain model. It showed how you can easily add an aggregate
field that offers serious performance benefits over iterating all
the related objects that make up an aggregate value. Finally I
showed how you can ensure that your aggregate fields do not get out
of sync due to race-conditions and concurrent access.

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Persisting the Decorator Pattern
================================
.. sectionauthor:: Chris Woodford <chris.woodford@gmail.com>
This recipe will show you a simple example of how you can use
Doctrine 2 to persist an implementation of the
`Decorator Pattern <http://en.wikipedia.org/wiki/Decorator_pattern>`_
Component
---------
The ``Component`` class needs to be persisted, so it's going to
be an ``Entity``. As the top of the inheritance hierarchy, it's going
to have to define the persistent inheritance. For this example, we
will use Single Table Inheritance, but Class Table Inheritance
would work as well. In the discriminator map, we will define two
concrete subclasses, ``ConcreteComponent`` and ``ConcreteDecorator``.
.. code-block:: php
<?php
namespace Test;
/**
* @Entity
* @InheritanceType("SINGLE_TABLE")
* @DiscriminatorColumn(name="discr", type="string")
* @DiscriminatorMap({"cc" = "Test\Component\ConcreteComponent",
"cd" = "Test\Decorator\ConcreteDecorator"})
*/
abstract class Component
{
/**
* @Id @Column(type="integer")
* @GeneratedValue(strategy="AUTO")
*/
protected $id;
/** @Column(type="string", nullable=true) */
protected $name;
/**
* Get id
* @return integer $id
*/
public function getId()
{
return $this->id;
}
/**
* Set name
* @param string $name
*/
public function setName($name)
{
$this->name = $name;
}
/**
* Get name
* @return string $name
*/
public function getName()
{
return $this->name;
}
}
ConcreteComponent
-----------------
The ``ConcreteComponent`` class is pretty simple and doesn't do much
more than extend the abstract ``Component`` class (only for the
purpose of keeping this example simple).
.. code-block:: php
<?php
namespace Test\Component;
use Test\Component;
/** @Entity */
class ConcreteComponent extends Component
{}
Decorator
---------
The ``Decorator`` class doesn't need to be persisted, but it does
need to define an association with a persisted ``Entity``. We can
use a ``MappedSuperclass`` for this.
.. code-block:: php
<?php
namespace Test;
/** @MappedSuperclass */
abstract class Decorator extends Component
{
/**
* @OneToOne(targetEntity="Test\Component", cascade={"all"})
* @JoinColumn(name="decorates", referencedColumnName="id")
*/
protected $decorates;
/**
* initialize the decorator
* @param Component $c
*/
public function __construct(Component $c)
{
$this->setDecorates($c);
}
/**
* (non-PHPdoc)
* @see Test.Component::getName()
*/
public function getName()
{
return 'Decorated ' . $this->getDecorates()->getName();
}
/**
* the component being decorated
* @return Component
*/
protected function getDecorates()
{
return $this->decorates;
}
/**
* sets the component being decorated
* @param Component $c
*/
protected function setDecorates(Component $c)
{
$this->decorates = $c;
}
}
All operations on the ``Decorator`` (i.e. persist, remove, etc) will
cascade from the ``Decorator`` to the ``Component``. This means that
when we persist a ``Decorator``, Doctrine will take care of
persisting the chain of decorated objects for us. A ``Decorator`` can
be treated exactly as a ``Component`` when it comes time to
persisting it.
The ``Decorator's`` constructor accepts an instance of a
``Component``, as defined by the ``Decorator`` pattern. The
setDecorates/getDecorates methods have been defined as protected to
hide the fact that a ``Decorator`` is decorating a ``Component`` and
keeps the ``Component`` interface and the ``Decorator`` interface
identical.
To illustrate the intended result of the ``Decorator`` pattern, the
getName() method has been overridden to append a string to the
``Component's`` getName() method.
ConcreteDecorator
-----------------
The final class required to complete a simple implementation of the
Decorator pattern is the ``ConcreteDecorator``. In order to further
illustrate how the ``Decorator`` can alter data as it moves through
the chain of decoration, a new field, "special", has been added to
this class. The getName() has been overridden and appends the value
of the getSpecial() method to its return value.
.. code-block:: php
<?php
namespace Test\Decorator;
use Test\Decorator;
/** @Entity */
class ConcreteDecorator extends Decorator
{
/** @Column(type="string", nullable=true) */
protected $special;
/**
* Set special
* @param string $special
*/
public function setSpecial($special)
{
$this->special = $special;
}
/**
* Get special
* @return string $special
*/
public function getSpecial()
{
return $this->special;
}
/**
* (non-PHPdoc)
* @see Test.Component::getName()
*/
public function getName()
{
return '[' . $this->getSpecial()
. '] ' . parent::getName();
}
}
Examples
--------
Here is an example of how to persist and retrieve your decorated
objects
.. code-block:: php
<?php
use Test\Component\ConcreteComponent,
Test\Decorator\ConcreteDecorator;
// assumes Doctrine 2 is configured and an instance of
// an EntityManager is available as $em
// create a new concrete component
$c = new ConcreteComponent();
$c->setName('Test Component 1');
$em->persist($c); // assigned unique ID = 1
// create a new concrete decorator
$c = new ConcreteComponent();
$c->setName('Test Component 2');
$d = new ConcreteDecorator($c);
$d->setSpecial('Really');
$em->persist($d);
// assigns c as unique ID = 2, and d as unique ID = 3
$em->flush();
$c = $em->find('Test\Component', 1);
$d = $em->find('Test\Component', 3);
echo get_class($c);
// prints: Test\Component\ConcreteComponent
echo $c->getName();
// prints: Test Component 1
echo get_class($d)
// prints: Test\Component\ConcreteDecorator
echo $d->getName();
// prints: [Really] Decorated Test Component 2

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Extending DQL in Doctrine 2: Custom AST Walkers
===============================================
.. sectionauthor:: Benjamin Eberlei <kontakt@beberlei.de>
The Doctrine Query Language (DQL) is a proprietary sql-dialect that
substitutes tables and columns for Entity names and their fields.
Using DQL you write a query against the database using your
entities. With the help of the metadata you can write very concise,
compact and powerful queries that are then translated into SQL by
the Doctrine ORM.
In Doctrine 1 the DQL language was not implemented using a real
parser. This made modifications of the DQL by the user impossible.
Doctrine 2 in contrast has a real parser for the DQL language,
which transforms the DQL statement into an
`Abstract Syntax Tree <http://en.wikipedia.org/wiki/Abstract_syntax_tree>`_
and generates the appropriate SQL statement for it. Since this
process is deterministic Doctrine heavily caches the SQL that is
generated from any given DQL query, which reduces the performance
overhead of the parsing process to zero.
You can modify the Abstract syntax tree by hooking into DQL parsing
process by adding a Custom Tree Walker. A walker is an interface
that walks each node of the Abstract syntax tree, thereby
generating the SQL statement.
There are two types of custom tree walkers that you can hook into
the DQL parser:
- An output walker. This one actually generates the SQL, and there
is only ever one of them. We implemented the default SqlWalker
implementation for it.
- A tree walker. There can be many tree walkers, they cannot
generate the sql, however they can modify the AST before its
rendered to sql.
Now this is all awfully technical, so let me come to some use-cases
fast to keep you motivated. Using walker implementation you can for
example:
- Modify the AST to generate a Count Query to be used with a
paginator for any given DQL query.
- Modify the Output Walker to generate vendor-specific SQL
(instead of ANSI).
- Modify the AST to add additional where clauses for specific
entities (example ACL, country-specific content...)
- Modify the Output walker to pretty print the SQL for debugging
purposes.
In this cookbook-entry I will show examples on the first two
points. There are probably much more use-cases.
Generic count query for pagination
----------------------------------
Say you have a blog and posts all with one category and one author.
A query for the front-page or any archive page might look something
like:
.. code-block:: sql
SELECT p, c, a FROM BlogPost p JOIN p.category c JOIN p.author a WHERE ...
Now in this query the blog post is the root entity, meaning its the
one that is hydrated directly from the query and returned as an
array of blog posts. In contrast the comment and author are loaded
for deeper use in the object tree.
A pagination for this query would want to approximate the number of
posts that match the WHERE clause of this query to be able to
predict the number of pages to show to the user. A draft of the DQL
query for pagination would look like:
.. code-block:: sql
SELECT count(DISTINCT p.id) FROM BlogPost p JOIN p.category c JOIN p.author a WHERE ...
Now you could go and write each of these queries by hand, or you
can use a tree walker to modify the AST for you. Lets see how the
API would look for this use-case:
.. code-block:: php
<?php
$pageNum = 1;
$query = $em->createQuery($dql);
$query->setFirstResult( ($pageNum-1) * 20)->setMaxResults(20);
$totalResults = Paginate::count($query);
$results = $query->getResult();
The ``Paginate::count(Query $query)`` looks like:
.. code-block:: php
<?php
class Paginate
{
static public function count(Query $query)
{
/* @var $countQuery Query */
$countQuery = clone $query;
$countQuery->setHint(Query::HINT_CUSTOM_TREE_WALKERS, array('DoctrineExtensions\Paginate\CountSqlWalker'));
$countQuery->setFirstResult(null)->setMaxResults(null);
return $countQuery->getSingleScalarResult();
}
}
It clones the query, resets the limit clause first and max results
and registers the ``CountSqlWalker`` customer tree walker which
will modify the AST to execute a count query. The walkers
implementation is:
.. code-block:: php
<?php
class CountSqlWalker extends TreeWalkerAdapter
{
/**
* Walks down a SelectStatement AST node, thereby generating the appropriate SQL.
*
* @return string The SQL.
*/
public function walkSelectStatement(SelectStatement $AST)
{
$parent = null;
$parentName = null;
foreach ($this->_getQueryComponents() AS $dqlAlias => $qComp) {
if ($qComp['parent'] === null && $qComp['nestingLevel'] == 0) {
$parent = $qComp;
$parentName = $dqlAlias;
break;
}
}
$pathExpression = new PathExpression(
PathExpression::TYPE_STATE_FIELD | PathExpression::TYPE_SINGLE_VALUED_ASSOCIATION, $parentName,
$parent['metadata']->getSingleIdentifierFieldName()
);
$pathExpression->type = PathExpression::TYPE_STATE_FIELD;
$AST->selectClause->selectExpressions = array(
new SelectExpression(
new AggregateExpression('count', $pathExpression, true), null
)
);
}
}
This will delete any given select expressions and replace them with
a distinct count query for the root entities primary key. This will
only work if your entity has only one identifier field (composite
keys won't work).
Modify the Output Walker to generate Vendor specific SQL
--------------------------------------------------------
Most RMDBS have vendor-specific features for optimizing select
query execution plans. You can write your own output walker to
introduce certain keywords using the Query Hint API. A query hint
can be set via ``Query::setHint($name, $value)`` as shown in the
previous example with the ``HINT_CUSTOM_TREE_WALKERS`` query hint.
We will implement a custom Output Walker that allows to specify the
SQL\_NO\_CACHE query hint.
.. code-block:: php
<?php
$dql = "SELECT p, c, a FROM BlogPost p JOIN p.category c JOIN p.author a WHERE ...";
$query = $m->createQuery($dql);
$query->setHint(Query::HINT_CUSTOM_OUTPUT_WALKER, 'DoctrineExtensions\Query\MysqlWalker');
$query->setHint("mysqlWalker.sqlNoCache", true);
$results = $query->getResult();
Our ``MysqlWalker`` will extend the default ``SqlWalker``. We will
modify the generation of the SELECT clause, adding the
SQL\_NO\_CACHE on those queries that need it:
.. code-block:: php
<?php
class MysqlWalker extends SqlWalker
{
/**
* Walks down a SelectClause AST node, thereby generating the appropriate SQL.
*
* @param $selectClause
* @return string The SQL.
*/
public function walkSelectClause($selectClause)
{
$sql = parent::walkSelectClause($selectClause);
if ($this->getQuery()->getHint('mysqlWalker.sqlNoCache') === true) {
if ($selectClause->isDistinct) {
$sql = str_replace('SELECT DISTINCT', 'SELECT DISTINCT SQL_NO_CACHE', $sql);
} else {
$sql = str_replace('SELECT', 'SELECT SQL_NO_CACHE', $sql);
}
}
return $sql;
}
}
Writing extensions to the Output Walker requires a very deep
understanding of the DQL Parser and Walkers, but may offer your
huge benefits with using vendor specific features. This would still
allow you write DQL queries instead of NativeQueries to make use of
vendor specific features.

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DQL User Defined Functions
==========================
.. sectionauthor:: Benjamin Eberlei <kontakt@beberlei.de>
By default DQL supports a limited subset of all the vendor-specific
SQL functions common between all the vendors. However in many cases
once you have decided on a specific database vendor, you will never
change it during the life of your project. This decision for a
specific vendor potentially allows you to make use of powerful SQL
features that are unique to the vendor.
It is worth to mention that Doctrine 2 also allows you to handwrite
your SQL instead of extending the DQL parser. Extending DQL is sort of an
advanced extension point. You can map arbitrary SQL to your objects
and gain access to vendor specific functionalities using the
``EntityManager#createNativeQuery()`` API as described in
the :doc:`Native Query <../reference/native-sql>` chapter.
The DQL Parser has hooks to register functions that can then be
used in your DQL queries and transformed into SQL, allowing to
extend Doctrines Query capabilities to the vendors strength. This
post explains the Used-Defined Functions API (UDF) of the Dql
Parser and shows some examples to give you some hints how you would
extend DQL.
There are three types of functions in DQL, those that return a
numerical value, those that return a string and those that return a
Date. Your custom method has to be registered as either one of
those. The return type information is used by the DQL parser to
check possible syntax errors during the parsing process, for
example using a string function return value in a math expression.
Registering your own DQL functions
----------------------------------
You can register your functions adding them to the ORM
configuration:
.. code-block:: php
<?php
$config = new \Doctrine\ORM\Configuration();
$config->addCustomStringFunction($name, $class);
$config->addCustomNumericFunction($name, $class);
$config->addCustomDatetimeFunction($name, $class);
$em = EntityManager::create($dbParams, $config);
The ``$name`` is the name the function will be referred to in the
DQL query. ``$class`` is a string of a class-name which has to
extend ``Doctrine\ORM\Query\Node\FunctionNode``. This is a class
that offers all the necessary API and methods to implement a UDF.
In this post we will implement some MySql specific Date calculation
methods, which are quite handy in my opinion:
Date Diff
---------
`Mysql's DateDiff function <http://dev.mysql.com/doc/refman/5.1/en/date-and-time-functions.html#function_datediff>`_
takes two dates as argument and calculates the difference in days
with ``date1-date2``.
The DQL parser is a top-down recursive descent parser to generate
the Abstract-Syntax Tree (AST) and uses a TreeWalker approach to
generate the appropriate SQL from the AST. This makes reading the
Parser/TreeWalker code manageable in a finite amount of time.
The ``FunctionNode`` class I referred to earlier requires you to
implement two methods, one for the parsing process (obviously)
called ``parse`` and one for the TreeWalker process called
``getSql()``. I show you the code for the DateDiff method and
discuss it step by step:
.. code-block:: php
<?php
/**
* DateDiffFunction ::= "DATEDIFF" "(" ArithmeticPrimary "," ArithmeticPrimary ")"
*/
class DateDiff extends FunctionNode
{
// (1)
public $firstDateExpression = null;
public $secondDateExpression = null;
public function parse(\Doctrine\ORM\Query\Parser $parser)
{
$parser->match(Lexer::T_IDENTIFIER); // (2)
$parser->match(Lexer::T_OPEN_PARENTHESIS); // (3)
$this->firstDateExpression = $parser->ArithmeticPrimary(); // (4)
$parser->match(Lexer::T_COMMA); // (5)
$this->secondDateExpression = $parser->ArithmeticPrimary(); // (6)
$parser->match(Lexer::T_CLOSE_PARENTHESIS); // (3)
}
public function getSql(\Doctrine\ORM\Query\SqlWalker $sqlWalker)
{
return 'DATEDIFF(' .
$this->firstDateExpression->dispatch($sqlWalker) . ', ' .
$this->secondDateExpression->dispatch($sqlWalker) .
')'; // (7)
}
}
The Parsing process of the DATEDIFF function is going to find two
expressions the date1 and the date2 values, whose AST Node
representations will be saved in the variables of the DateDiff
FunctionNode instance at (1).
The parse() method has to cut the function call "DATEDIFF" and its
argument into pieces. Since the parser detects the function using a
lookahead the T\_IDENTIFIER of the function name has to be taken
from the stack (2), followed by a detection of the arguments in
(4)-(6). The opening and closing parenthesis have to be detected
also. This happens during the Parsing process and leads to the
generation of a DateDiff FunctionNode somewhere in the AST of the
dql statement.
The ``ArithmeticPrimary`` method call is the most common
denominator of valid EBNF tokens taken from the
`DQL EBNF grammar <http://www.doctrine-project.org/documentation/manual/2_0/en/dql-doctrine-query-language#ebnf>`_
that matches our requirements for valid input into the DateDiff Dql
function. Picking the right tokens for your methods is a tricky
business, but the EBNF grammar is pretty helpful finding it, as is
looking at the Parser source code.
Now in the TreeWalker process we have to pick up this node and
generate SQL from it, which apparently is quite easy looking at the
code in (7). Since we don't know which type of AST Node the first
and second Date expression are we are just dispatching them back to
the SQL Walker to generate SQL from and then wrap our DATEDIFF
function call around this output.
Now registering this DateDiff FunctionNode with the ORM using:
.. code-block:: php
<?php
$config = new \Doctrine\ORM\Configuration();
$config->addCustomStringFunction('DATEDIFF', 'DoctrineExtensions\Query\MySql\DateDiff');
We can do fancy stuff like:
.. code-block:: sql
SELECT p FROM DoctrineExtensions\Query\BlogPost p WHERE DATEDIFF(CURRENT_TIME(), p.created) < 7
Date Add
--------
Often useful it the ability to do some simple date calculations in
your DQL query using
`MySql's DATE\_ADD function <http://dev.mysql.com/doc/refman/5.1/en/date-and-time-functions.html#function_date-add>`_.
I'll skip the blah and show the code for this function:
.. code-block:: php
<?php
/**
* DateAddFunction ::=
* "DATE_ADD" "(" ArithmeticPrimary ", INTERVAL" ArithmeticPrimary Identifier ")"
*/
class DateAdd extends FunctionNode
{
public $firstDateExpression = null;
public $intervalExpression = null;
public $unit = null;
public function parse(\Doctrine\ORM\Query\Parser $parser)
{
$parser->match(Lexer::T_IDENTIFIER);
$parser->match(Lexer::T_OPEN_PARENTHESIS);
$this->firstDateExpression = $parser->ArithmeticPrimary();
$parser->match(Lexer::T_COMMA);
$parser->match(Lexer::T_IDENTIFIER);
$this->intervalExpression = $parser->ArithmeticPrimary();
$parser->match(Lexer::T_IDENTIFIER);
/* @var $lexer Lexer */
$lexer = $parser->getLexer();
$this->unit = $lexer->token['value'];
$parser->match(Lexer::T_CLOSE_PARENTHESIS);
}
public function getSql(\Doctrine\ORM\Query\SqlWalker $sqlWalker)
{
return 'DATE_ADD(' .
$this->firstDateExpression->dispatch($sqlWalker) . ', INTERVAL ' .
$this->intervalExpression->dispatch($sqlWalker) . ' ' . $this->unit .
')';
}
}
The only difference compared to the DATEDIFF here is, we
additionally need the ``Lexer`` to access the value of the
``T_IDENTIFIER`` token for the Date Interval unit, for example the
MONTH in:
.. code-block:: sql
SELECT p FROM DoctrineExtensions\Query\BlogPost p WHERE DATE_ADD(CURRENT_TIME(), INTERVAL 4 MONTH) > p.created
The above method now only supports the specification using
``INTERVAL``, to also allow a real date in DATE\_ADD we need to add
some decision logic to the parsing process (makes up for a nice
exercise).
Now as you see, the Parsing process doesn't catch all the possible
SQL errors, here we don't match for all the valid inputs for the
interval unit. However where necessary we rely on the database
vendors SQL parser to show us further errors in the parsing
process, for example if the Unit would not be one of the supported
values by MySql.
Conclusion
----------
Now that you all know how you can implement vendor specific SQL
functionalities in DQL, we would be excited to see user extensions
that add vendor specific function packages, for example more math
functions, XML + GIS Support, Hashing functions and so on.
For 2.0 we will come with the current set of functions, however for
a future version we will re-evaluate if we can abstract even more
vendor sql functions and extend the DQL languages scope.
Code for this Extension to DQL and other Doctrine Extensions can be
found
`in my Github DoctrineExtensions repository <http://github.com/beberlei/DoctrineExtensions>`_.

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Entities in the Session
=======================
There are several use-cases to save entities in the session, for example:
1. User object
2. Multi-step forms
To achieve this with Doctrine you have to pay attention to some details to get
this working.
Merging entity into an EntityManager
------------------------------------
In Doctrine an entity objects has to be "managed" by an EntityManager to be
updateable. Entities saved into the session are not managed in the next request
anymore. This means that you have to register these entities with an
EntityManager again if you want to change them or use them as part of
references between other entities. You can achieve this by calling
``EntityManager#merge()``.
For a representative User object the code to get turn an instance from
the session into a managed Doctrine object looks like this:
.. code-block:: php
<?php
require_once 'bootstrap.php';
$em = GetEntityManager(); // creates an EntityManager
session_start();
if (isset($_SESSION['user']) && $_SESSION['user'] instanceof User) {
$user = $_SESSION['user'];
$user = $em->merge($user);
}
.. note::
A frequent mistake is not to get the merged user object from the return
value of ``EntityManager#merge()``. The entity object passed to merge is
not necessarily the same object that is returned from the method.
Serializing entity into the session
-----------------------------------
Entities that are serialized into the session normally contain references to
other entities as well. Think of the user entity has a reference to his
articles, groups, photos or many other different entities. If you serialize
this object into the session then you don't want to serialize the related
entities as well. This is why you should call ``EntityManager#detach()`` on this
object or implement the __sleep() magic method on your entity.
.. code-block:: php
<?php
require_once 'bootstrap.php';
$em = GetEntityManager(); // creates an EntityManager
$user = $em->find("User", 1);
$em->detach($user);
$_SESSION['user'] = $user;
.. note::
When you called detach on your objects they get "unmanaged" with that
entity manager. This means you cannot use them as part of write operations
during ``EntityManagr#flush()`` anymore in this request.

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Implementing ArrayAccess for Domain Objects
===========================================
.. sectionauthor:: Roman Borschel (roman@code-factory.org)
This recipe will show you how to implement ArrayAccess for your
domain objects in order to allow more uniform access, for example
in templates. In these examples we will implement ArrayAccess on a
`Layer Supertype <http://martinfowler.com/eaaCatalog/layerSupertype.html>`_
for all our domain objects.
Option 1
--------
In this implementation we will make use of PHPs highly dynamic
nature to dynamically access properties of a subtype in a supertype
at runtime. Note that this implementation has 2 main caveats:
- It will not work with private fields
- It will not go through any getters/setters
.. code-block:: php
<?php
abstract class DomainObject implements ArrayAccess
{
public function offsetExists($offset) {
return isset($this->$offset);
}
public function offsetSet($offset, $value) {
$this->$offset = $value;
}
public function offsetGet($offset) {
return $this->$offset;
}
public function offsetUnset($offset) {
$this->$offset = null;
}
}
Option 2
--------
In this implementation we will dynamically invoke getters/setters.
Again we use PHPs dynamic nature to invoke methods on a subtype
from a supertype at runtime. This implementation has the following
caveats:
- It relies on a naming convention
- The semantics of offsetExists can differ
- offsetUnset will not work with typehinted setters
.. code-block:: php
<?php
abstract class DomainObject implements ArrayAccess
{
public function offsetExists($offset) {
// In this example we say that exists means it is not null
$value = $this->{"get$offset"}();
return $value !== null;
}
public function offsetSet($offset, $value) {
$this->{"set$offset"}($value);
}
public function offsetGet($offset) {
return $this->{"get$offset"}();
}
public function offsetUnset($offset) {
$this->{"set$offset"}(null);
}
}
Read-only
---------
You can slightly tweak option 1 or option 2 in order to make array
access read-only. This will also circumvent some of the caveats of
each option. Simply make offsetSet and offsetUnset throw an
exception (i.e. BadMethodCallException).
.. code-block:: php
<?php
abstract class DomainObject implements ArrayAccess
{
public function offsetExists($offset) {
// option 1 or option 2
}
public function offsetSet($offset, $value) {
throw new BadMethodCallException("Array access of class " . get_class($this) . " is read-only!");
}
public function offsetGet($offset) {
// option 1 or option 2
}
public function offsetUnset($offset) {
throw new BadMethodCallException("Array access of class " . get_class($this) . " is read-only!");
}
}

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Implementing the Notify ChangeTracking Policy
=============================================
.. sectionauthor:: Roman Borschel (roman@code-factory.org)
The NOTIFY change-tracking policy is the most effective
change-tracking policy provided by Doctrine but it requires some
boilerplate code. This recipe will show you how this boilerplate
code should look like. We will implement it on a
`Layer Supertype <http://martinfowler.com/eaaCatalog/layerSupertype.html>`_
for all our domain objects.
Implementing NotifyPropertyChanged
----------------------------------
The NOTIFY policy is based on the assumption that the entities
notify interested listeners of changes to their properties. For
that purpose, a class that wants to use this policy needs to
implement the ``NotifyPropertyChanged`` interface from the
``Doctrine\Common`` namespace.
.. code-block:: php
<?php
use Doctrine\Common\NotifyPropertyChanged,
Doctrine\Common\PropertyChangedListener;
abstract class DomainObject implements NotifyPropertyChanged
{
private $_listeners = array();
public function addPropertyChangedListener(PropertyChangedListener $listener) {
$this->_listeners[] = $listener;
}
/** Notifies listeners of a change. */
protected function _onPropertyChanged($propName, $oldValue, $newValue) {
if ($this->_listeners) {
foreach ($this->_listeners as $listener) {
$listener->propertyChanged($this, $propName, $oldValue, $newValue);
}
}
}
}
Then, in each property setter of concrete, derived domain classes,
you need to invoke \_onPropertyChanged as follows to notify
listeners:
.. code-block:: php
<?php
// Mapping not shown, either in annotations, xml or yaml as usual
class MyEntity extends DomainObject
{
private $data;
// ... other fields as usual
public function setData($data) {
if ($data != $this->data) { // check: is it actually modified?
$this->_onPropertyChanged('data', $this->data, $data);
$this->data = $data;
}
}
}
The check whether the new value is different from the old one is
not mandatory but recommended. That way you can avoid unnecessary
updates and also have full control over when you consider a
property changed.

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Implementing Wakeup or Clone
============================
.. sectionauthor:: Roman Borschel (roman@code-factory.org)
As explained in the
`restrictions for entity classes in the manual <http://www.doctrine-project.org/documentation/manual/2_0/en/architecture#entities>`_,
it is usually not allowed for an entity to implement ``__wakeup``
or ``__clone``, because Doctrine makes special use of them.
However, it is quite easy to make use of these methods in a safe
way by guarding the custom wakeup or clone code with an entity
identity check, as demonstrated in the following sections.
Safely implementing \_\_wakeup
------------------------------
To safely implement ``__wakeup``, simply enclose your
implementation code in an identity check as follows:
.. code-block:: php
<?php
class MyEntity
{
private $id; // This is the identifier of the entity.
//...
public function __wakeup()
{
// If the entity has an identity, proceed as normal.
if ($this->id) {
// ... Your code here as normal ...
}
// otherwise do nothing, do NOT throw an exception!
}
//...
}
Safely implementing \_\_clone
-----------------------------
Safely implementing ``__clone`` is pretty much the same:
.. code-block:: php
<?php
class MyEntity
{
private $id; // This is the identifier of the entity.
//...
public function __clone()
{
// If the entity has an identity, proceed as normal.
if ($this->id) {
// ... Your code here as normal ...
}
// otherwise do nothing, do NOT throw an exception!
}
//...
}
Summary
-------
As you have seen, it is quite easy to safely make use of
``__wakeup`` and ``__clone`` in your entities without adding any
really Doctrine-specific or Doctrine-dependant code.
These implementations are possible and safe because when Doctrine
invokes these methods, the entities never have an identity (yet).
Furthermore, it is possibly a good idea to check for the identity
in your code anyway, since it's rarely the case that you want to
unserialize or clone an entity with no identity.

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Integrating with CodeIgniter
============================
This is recipe for using Doctrine 2 in your
`CodeIgniter <http://www.codeigniter.com>`_ framework.
.. note::
This might not work for all CodeIgniter versions and may require
slight adjustments.
Here is how to set it up:
Make a CodeIgniter library that is both a wrapper and a bootstrap
for Doctrine 2.
Setting up the file structure
-----------------------------
Here are the steps:
- Add a php file to your system/application/libraries folder
called Doctrine.php. This is going to be your wrapper/bootstrap for
the D2 entity manager.
- Put the Doctrine folder (the one that contains Common, DBAL, and
ORM) inside that same libraries folder.
- Your system/application/libraries folder now looks like this:
system/applications/libraries -Doctrine -Doctrine.php -index.html
- If you want, open your config/autoload.php file and autoload
your Doctrine library.
<?php $autoload['libraries'] = array('doctrine');
Creating your Doctrine CodeIgniter library
------------------------------------------
Now, here is what your Doctrine.php file should look like.
Customize it to your needs.
.. code-block:: php
<?php
use Doctrine\Common\ClassLoader,
Doctrine\ORM\Configuration,
Doctrine\ORM\EntityManager,
Doctrine\Common\Cache\ArrayCache,
Doctrine\DBAL\Logging\EchoSQLLogger;
class Doctrine {
public $em = null;
public function __construct()
{
// load database configuration from CodeIgniter
require_once APPPATH.'config/database.php';
// Set up class loading. You could use different autoloaders, provided by your favorite framework,
// if you want to.
require_once APPPATH.'libraries/Doctrine/Common/ClassLoader.php';
$doctrineClassLoader = new ClassLoader('Doctrine', APPPATH.'libraries');
$doctrineClassLoader->register();
$entitiesClassLoader = new ClassLoader('models', rtrim(APPPATH, "/" ));
$entitiesClassLoader->register();
$proxiesClassLoader = new ClassLoader('Proxies', APPPATH.'models/proxies');
$proxiesClassLoader->register();
// Set up caches
$config = new Configuration;
$cache = new ArrayCache;
$config->setMetadataCacheImpl($cache);
$driverImpl = $config->newDefaultAnnotationDriver(array(APPPATH.'models/Entities'));
$config->setMetadataDriverImpl($driverImpl);
$config->setQueryCacheImpl($cache);
$config->setQueryCacheImpl($cache);
// Proxy configuration
$config->setProxyDir(APPPATH.'/models/proxies');
$config->setProxyNamespace('Proxies');
// Set up logger
$logger = new EchoSQLLogger;
$config->setSQLLogger($logger);
$config->setAutoGenerateProxyClasses( TRUE );
// Database connection information
$connectionOptions = array(
'driver' => 'pdo_mysql',
'user' => $db['default']['username'],
'password' => $db['default']['password'],
'host' => $db['default']['hostname'],
'dbname' => $db['default']['database']
);
// Create EntityManager
$this->em = EntityManager::create($connectionOptions, $config);
}
}
Please note that this is a development configuration; for a
production system you'll want to use a real caching system like
APC, get rid of EchoSqlLogger, and turn off
autoGenerateProxyClasses.
For more details, consult the
`Doctrine 2 Configuration documentation <http://www.doctrine-project.org/documentation/manual/2_0/en/configuration#configuration-options>`_.
Now to use it
-------------
Whenever you need a reference to the entity manager inside one of
your controllers, views, or models you can do this:
.. code-block:: php
<?php
$em = $this->doctrine->em;
That's all there is to it. Once you get the reference to your
EntityManager do your Doctrine 2.0 voodoo as normal.
Note: If you do not choose to autoload the Doctrine library, you
will need to put this line before you get a reference to it:
.. code-block:: php
<?php
$this->load->library('doctrine');
Good luck!

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Mysql Enums
===========
The type system of Doctrine 2 consists of flyweights, which means there is only
one instance of any given type. Additionally types do not contain state. Both
assumptions make it rather complicated to work with the Enum Type of MySQL that
is used quite a lot by developers.
When using Enums with a non-tweaked Doctrine 2 application you will get
errors from the Schema-Tool commands due to the unknown database type "enum".
By default Doctrine does not map the MySQL enum type to a Doctrine type.
This is because Enums contain state (their allowed values) and Doctrine
types don't.
This cookbook entry shows two possible solutions to work with MySQL enums.
But first a word of warning. The MySQL Enum type has considerable downsides:
- Adding new values requires to rebuild the whole table, which can take hours
depending on the size.
- Enums are ordered in the way the values are specified, not in their "natural" order.
- Enums validation mechanism for allowed values is not necessarily good,
specifying invalid values leads to an empty enum for the default MySQL error
settings. You can easily replicate the "allow only some values" requirement
in your Doctrine entities.
Solution 1: Mapping to Varchars
-------------------------------
You can map ENUMs to varchars. You can register MySQL ENUMs to map to Doctrine
varchars. This way Doctrine always resolves ENUMs to Doctrine varchars. It
will even detect this match correctly when using SchemaTool update commands.
.. code-block:: php
<?php
$conn = $em->getConnection();
$conn->getDatabasePlatform()->registerDoctrineTypeMapping('enum', 'string');
In this case you have to ensure that each varchar field that is an enum in the
database only gets passed the allowed values. You can easily enforce this in your
entities:
.. code-block:: php
<?php
/** @Entity */
class Article
{
const STATUS_VISIBLE = 'visible';
const STATUS_INVISIBLE = 'invisible';
/** @Column(type="string") */
private $status;
public function setStatus($status)
{
if (!in_array($status, array(self::STATUS_VISIBLE, self::STATUS_INVISIBLE))) {
throw new \InvalidArgumentException("Invalid status");
}
$this->status = $status;
}
}
If you want to actively create enums through the Doctrine Schema-Tool by using
the **columnDefinition** attribute.
.. code-block:: php
<?php
/** @Entity */
class Article
{
/** @Column(type="string", columnDefinition="ENUM('visible', 'invisible')") */
private $status;
}
In this case however Schema-Tool update will have a hard time not to request changes for this column on each call.
Solution 2: Defining a Type
---------------------------
You can make a stateless ENUM type by creating a type class for each unique set of ENUM values.
For example for the previous enum type:
.. code-block:: php
<?php
namespace MyProject\DBAL;
use Doctrine\DBAL\Types\Type;
use Doctrine\DBAL\Platforms\AbstractPlatform;
class EnumVisibilityType extends Type
{
const ENUM_VISIBILITY = 'enumvisibility';
const STATUS_VISIBLE = 'visible';
const STATUS_INVISIBLE = 'invisible';
public function getSqlDeclaration(array $fieldDeclaration, AbstractPlatform $platform)
{
return "ENUM('visible', 'invisible') COMMENT '(DC2Type:enumvisibility)'";
}
public function convertToPHPValue($value, AbstractPlatform $platform)
{
return $value;
}
public function convertToDatabaseValue($value, AbstractPlatform $platform)
{
if (!in_array($value, array(self::STATUS_VISIBLE, self::STATUS_INVISIBLE))) {
throw new \InvalidArgumentException("Invalid status");
}
return $value;
}
public function getName()
{
return self::ENUM_VISIBILITY;
}
}
You can register this type with ``Type::addType('enumvisibility', 'MyProject\DBAL\EnumVisibilityType');``.
Then in your entity you can just use this type:
.. code-block:: php
<?php
/** @Entity */
class Article
{
/** @Column(type="enumvisibility") */
private $status;
}
You can generalize this approach easily to create a base class for enums:
.. code-block:: php
<?php
namespace MyProject\DBAL;
use Doctrine\DBAL\Types\Type;
use Doctrine\DBAL\Platforms\AbstractPlatform;
abstract class EnumType extends Type
{
protected $name;
protected $values = array();
public function getSqlDeclaration(array $fieldDeclaration, AbstractPlatform $platform)
{
$values = array_map(function($val) { return "'".$val."'"; }, $this->values);
return "ENUM(".implode(", ", $values).") COMMENT '(DC2Type:".$this->name.")'";
}
public function convertToPHPValue($value, AbstractPlatform $platform)
{
return $value;
}
public function convertToDatabaseValue($value, AbstractPlatform $platform)
{
if (!in_array($value, $this->values)) {
throw new \InvalidArgumentException("Invalid '".$this->name."' value.");
}
return $value;
}
public function getName()
{
return $this->name;
}
}
With this base class you can define an enum as easily as:
.. code-block:: php
<?php
namespace MyProject\DBAL;
class EnumVisibilityType extends EnumType
{
protected $name = 'enumvisibility';
protected $values = array('visible', 'invisible');
}

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Keeping your Modules independent
=================================
One of the goals of using modules is to create discreet units of functionality
that do not have many (if any) dependencies, allowing you to use that
functionality in other applications without including unnecessary items.
Doctrine 2.2 includes a new utility called the ``ResolveTargetEntityListener``,
that functions by intercepting certain calls inside Doctrine and rewrite
targetEntity parameters in your metadata mapping at runtime. It means that
in your bundle you are able to use an interface or abstract class in your
mappings and expect correct mapping to a concrete entity at runtime.
This functionality allows you to define relationships between different entities
but not making them hard dependencies.
Background
----------
In the following example, the situation is we have an `InvoiceModule`
which provides invoicing functionality, and a `CustomerModule` that
contains customer management tools. We want to keep these separated,
because they can be used in other systems without each other, but for
our application we want to use them together.
In this case, we have an ``Invoice`` entity with a relationship to a
non-existent object, an ``InvoiceSubjectInterface``. The goal is to get
the ``ResolveTargetEntityListener`` to replace any mention of the interface
with a real object that implements that interface.
Set up
------
We're going to use the following basic entities (which are incomplete
for brevity) to explain how to set up and use the RTEL.
A Customer entity
.. code-block:: php
// src/Acme/AppModule/Entity/Customer.php
namespace Acme\AppModule\Entity;
use Doctrine\ORM\Mapping as ORM;
use Acme\CustomerModule\Entity\Customer as BaseCustomer;
use Acme\InvoiceModule\Model\InvoiceSubjectInterface;
/**
* @ORM\Entity
* @ORM\Table(name="customer")
*/
class Customer extends BaseCustomer implements InvoiceSubjectInterface
{
// In our example, any methods defined in the InvoiceSubjectInterface
// are already implemented in the BaseCustomer
}
An Invoice entity
.. code-block:: php
// src/Acme/InvoiceModule/Entity/Invoice.php
namespace Acme\InvoiceModule\Entity;
use Doctrine\ORM\Mapping AS ORM;
use Acme\InvoiceModule\Model\InvoiceSubjectInterface;
/**
* Represents an Invoice.
*
* @ORM\Entity
* @ORM\Table(name="invoice")
*/
class Invoice
{
/**
* @ORM\ManyToOne(targetEntity="Acme\InvoiceModule\Model\InvoiceSubjectInterface")
* @var InvoiceSubjectInterface
*/
protected $subject;
}
An InvoiceSubjectInterface
.. code-block:: php
// src/Acme/InvoiceModule/Model/InvoiceSubjectInterface.php
namespace Acme\InvoiceModule\Model;
/**
* An interface that the invoice Subject object should implement.
* In most circumstances, only a single object should implement
* this interface as the ResolveTargetEntityListener can only
* change the target to a single object.
*/
interface InvoiceSubjectInterface
{
// List any additional methods that your InvoiceModule
// will need to access on the subject so that you can
// be sure that you have access to those methods.
/**
* @return string
*/
public function getName();
}
Next, we need to configure the listener. Add this to the area you set up Doctrine. You
must set this up in the way outlined below, otherwise you can not be guaranteed that
the targetEntity resolution will occur reliably::
.. code-block:: php
$evm = new \Doctrine\Common\EventManager;
$rtel = new \Doctrine\ORM\Tools\ResolveTargetEntityListener;
$rtel->addResolveTargetEntity('Acme\\InvoiceModule\\Model\\InvoiceSubjectInterface',
'Acme\\CustomerModule\\Entity\\Customer', array());
// Add the ResolveTargetEntityListener
$evm->addEventSubscriber($rtel);
$em = \Doctrine\ORM\EntityManager::create($connectionOptions, $config, $evm);
Final Thoughts
--------------
With the ``ResolveTargetEntityListener``, we are able to decouple our
bundles, keeping them usable by themselves, but still being able to
define relationships between different objects. By using this method,
I've found my bundles end up being easier to maintain independently.

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SQL-Table Prefixes
==================
This recipe is intended as an example of implementing a
loadClassMetadata listener to provide a Table Prefix option for
your application. The method used below is not a hack, but fully
integrates into the Doctrine system, all SQL generated will include
the appropriate table prefix.
In most circumstances it is desirable to separate different
applications into individual databases, but in certain cases, it
may be beneficial to have a table prefix for your Entities to
separate them from other vendor products in the same database.
Implementing the listener
-------------------------
The listener in this example has been set up with the
DoctrineExtensions namespace. You create this file in your
library/DoctrineExtensions directory, but will need to set up
appropriate autoloaders.
.. code-block:: php
<?php
namespace DoctrineExtensions;
use \Doctrine\ORM\Event\LoadClassMetadataEventArgs;
class TablePrefix
{
protected $prefix = '';
public function __construct($prefix)
{
$this->prefix = (string) $prefix;
}
public function loadClassMetadata(LoadClassMetadataEventArgs $eventArgs)
{
$classMetadata = $eventArgs->getClassMetadata();
$classMetadata->setTableName($this->prefix . $classMetadata->getTableName());
foreach ($classMetadata->getAssociationMappings() as $fieldName => $mapping) {
if ($mapping['type'] == \Doctrine\ORM\Mapping\ClassMetadataInfo::MANY_TO_MANY) {
$mappedTableName = $classMetadata->associationMappings[$fieldName]['joinTable']['name'];
$classMetadata->associationMappings[$fieldName]['joinTable']['name'] = $this->prefix . $mappedTableName;
}
}
}
}
Telling the EntityManager about our listener
--------------------------------------------
A listener of this type must be set up before the EntityManager has
been initialised, otherwise an Entity might be created or cached
before the prefix has been set.
.. note::
If you set this listener up, be aware that you will need
to clear your caches and drop then recreate your database schema.
.. code-block:: php
<?php
// $connectionOptions and $config set earlier
$evm = new \Doctrine\Common\EventManager;
// Table Prefix
$tablePrefix = new \DoctrineExtensions\TablePrefix('prefix_');
$evm->addEventListener(\Doctrine\ORM\Events::loadClassMetadata, $tablePrefix);
$em = \Doctrine\ORM\EntityManager::create($connectionOptions, $config, $evm);

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Strategy-Pattern
================
This recipe will give you a short introduction on how to design
similar entities without using expensive (i.e. slow) inheritance
but with not more than \* the well-known strategy pattern \* event
listeners
Scenario / Problem
------------------
Given a Content-Management-System, we probably want to add / edit
some so-called "blocks" and "panels". What are they for?
- A block might be a registration form, some text content, a table
with information. A good example might also be a small calendar.
- A panel is by definition a block that can itself contain blocks.
A good example for a panel might be a sidebar box: You could easily
add a small calendar into it.
So, in this scenario, when building your CMS, you will surely add
lots of blocks and panels to your pages and you will find yourself
highly uncomfortable because of the following:
- Every existing page needs to know about the panels it contains -
therefore, you'll have an association to your panels. But if you've
got several types of panels - what do you do? Add an association to
every panel-type? This wouldn't be flexible. You might be tempted
to add an AbstractPanelEntity and an AbstractBlockEntity that use
class inheritance. Your page could then only confer to the
AbstractPanelType and Doctrine 2 would do the rest for you, i.e.
load the right entities. But - you'll for sure have lots of panels
and blocks, and even worse, you'd have to edit the discriminator
map *manually* every time you or another developer implements a new
block / entity. This would tear down any effort of modular
programming.
Therefore, we need something that's far more flexible.
Solution
--------
The solution itself is pretty easy. We will have one base class
that will be loaded via the page and that has specific behaviour -
a Block class might render the front-end and even the backend, for
example. Now, every block that you'll write might look different or
need different data - therefore, we'll offer an API to these
methods but internally, we use a strategy that exactly knows what
to do.
First of all, we need to make sure that we have an interface that
contains every needed action. Such actions would be rendering the
front-end or the backend, solving dependencies (blocks that are
supposed to be placed in the sidebar could refuse to be placed in
the middle of your page, for example).
Such an interface could look like this:
.. code-block:: php
<?php
/**
* This interface defines the basic actions that a block / panel needs to support.
*
* Every blockstrategy is *only* responsible for rendering a block and declaring some basic
* support, but *not* for updating its configuration etc. For this purpose, use controllers
* and models.
*/
interface BlockStrategyInterface {
/**
* This could configure your entity
*/
public function setConfig(Config\EntityConfig $config);
/**
* Returns the config this strategy is configured with.
* @return Core\Model\Config\EntityConfig
*/
public function getConfig();
/**
* Set the view object.
* @param \Zend_View_Interface $view
* @return \Zend_View_Helper_Interface
*/
public function setView(\Zend_View_Interface $view);
/**
* @return \Zend_View_Interface
*/
public function getView();
/**
* Renders this strategy. This method will be called when the user
* displays the site.
*
* @return string
*/
public function renderFrontend();
/**
* Renders the backend of this block. This method will be called when
* a user tries to reconfigure this block instance.
*
* Most of the time, this method will return / output a simple form which in turn
* calls some controllers.
*
* @return string
*/
public function renderBackend();
/**
* Returns all possible types of panels this block can be stacked onto
*
* @return array
*/
public function getRequiredPanelTypes();
/**
* Determines whether a Block is able to use a given type or not
* @param string $typeName The typename
* @return boolean
*/
public function canUsePanelType($typeName);
public function setBlockEntity(AbstractBlock $block);
public function getBlockEntity();
}
As you can see, we have a method "setBlockEntity" which ties a potential strategy to an object of type AbstractBlock. This type will simply define the basic behaviour of our blocks and could potentially look something like this:
.. code-block:: php
<?php
/**
* This is the base class for both Panels and Blocks.
* It shouldn't be extended by your own blocks - simply write a strategy!
*/
abstract class AbstractBlock {
/**
* The id of the block item instance
* This is a doctrine field, so you need to setup generation for it
* @var integer
*/
private $id;
// Add code for relation to the parent panel, configuration objects, ....
/**
* This var contains the classname of the strategy
* that is used for this blockitem. (This string (!) value will be persisted by Doctrine 2)
*
* This is a doctrine field, so make sure that you use an @column annotation or setup your
* yaml or xml files correctly
* @var string
*/
protected $strategyClassName;
/**
* This var contains an instance of $this->blockStrategy. Will not be persisted by Doctrine 2.
*
* @var BlockStrategyInterface
*/
protected $strategyInstance;
/**
* Returns the strategy that is used for this blockitem.
*
* The strategy itself defines how this block can be rendered etc.
*
* @return string
*/
public function getStrategyClassName() {
return $this->strategyClassName;
}
/**
* Returns the instantiated strategy
*
* @return BlockStrategyInterface
*/
public function getStrategyInstance() {
return $this->strategyInstance;
}
/**
* Sets the strategy this block / panel should work as. Make sure that you've used
* this method before persisting the block!
*
* @param BlockStrategyInterface $strategy
*/
public function setStrategy(BlockStrategyInterface $strategy) {
$this->strategyInstance = $strategy;
$this->strategyClassName = get_class($strategy);
$strategy->setBlockEntity($this);
}
Now, the important point is that $strategyClassName is a Doctrine 2
field, i.e. Doctrine will persist this value. This is only the
class name of your strategy and not an instance!
Finishing your strategy pattern, we hook into the Doctrine postLoad
event and check whether a block has been loaded. If so, you will
initialize it - i.e. get the strategies classname, create an
instance of it and set it via setStrategyBlock().
This might look like this:
.. code-block:: php
<?php
use \Doctrine\ORM,
\Doctrine\Common;
/**
* The BlockStrategyEventListener will initialize a strategy after the
* block itself was loaded.
*/
class BlockStrategyEventListener implements Common\EventSubscriber {
protected $view;
public function __construct(\Zend_View_Interface $view) {
$this->view = $view;
}
public function getSubscribedEvents() {
return array(ORM\Events::postLoad);
}
public function postLoad(ORM\Event\LifecycleEventArgs $args) {
$blockItem = $args->getEntity();
// Both blocks and panels are instances of Block\AbstractBlock
if ($blockItem instanceof Block\AbstractBlock) {
$strategy = $blockItem->getStrategyClassName();
$strategyInstance = new $strategy();
if (null !== $blockItem->getConfig()) {
$strategyInstance->setConfig($blockItem->getConfig());
}
$strategyInstance->setView($this->view);
$blockItem->setStrategy($strategyInstance);
}
}
}
In this example, even some variables are set - like a view object
or a specific configuration object.

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Validation of Entities
======================
.. sectionauthor:: Benjamin Eberlei <kontakt@beberlei.de>
Doctrine 2 does not ship with any internal validators, the reason
being that we think all the frameworks out there already ship with
quite decent ones that can be integrated into your Domain easily.
What we offer are hooks to execute any kind of validation.
.. note::
You don't need to validate your entities in the lifecycle
events. Its only one of many options. Of course you can also
perform validations in value setters or any other method of your
entities that are used in your code.
Entities can register lifecycle event methods with Doctrine that
are called on different occasions. For validation we would need to
hook into the events called before persisting and updating. Even
though we don't support validation out of the box, the
implementation is even simpler than in Doctrine 1 and you will get
the additional benefit of being able to re-use your validation in
any other part of your domain.
Say we have an ``Order`` with several ``OrderLine`` instances. We
never want to allow any customer to order for a larger sum than he
is allowed to:
.. code-block:: php
<?php
class Order
{
public function assertCustomerAllowedBuying()
{
$orderLimit = $this->customer->getOrderLimit();
$amount = 0;
foreach ($this->orderLines AS $line) {
$amount += $line->getAmount();
}
if ($amount > $orderLimit) {
throw new CustomerOrderLimitExceededException();
}
}
}
Now this is some pretty important piece of business logic in your
code, enforcing it at any time is important so that customers with
a unknown reputation don't owe your business too much money.
We can enforce this constraint in any of the metadata drivers.
First Annotations:
.. code-block:: php
<?php
/**
* @Entity
* @HasLifecycleCallbacks
*/
class Order
{
/**
* @PrePersist @PreUpdate
*/
public function assertCustomerAllowedBuying() {}
}
In XML Mappings:
.. code-block:: xml
<doctrine-mapping>
<entity name="Order">
<lifecycle-callbacks>
<lifecycle-callback type="prePersist" method="assertCustomerallowedBuying" />
<lifecycle-callback type="preUpdate" method="assertCustomerallowedBuying" />
</lifecycle-callbacks>
</entity>
</doctrine-mapping>
YAML needs some little change yet, to allow multiple lifecycle
events for one method, this will happen before Beta 1 though.
Now validation is performed whenever you call
``EntityManager#persist($order)`` or when you call
``EntityManager#flush()`` and an order is about to be updated. Any
Exception that happens in the lifecycle callbacks will be cached by
the EntityManager and the current transaction is rolled back.
Of course you can do any type of primitive checks, not null,
email-validation, string size, integer and date ranges in your
validation callbacks.
.. code-block:: php
<?php
class Order
{
/**
* @PrePersist @PreUpdate
*/
public function validate()
{
if (!($this->plannedShipDate instanceof DateTime)) {
throw new ValidateException();
}
if ($this->plannedShipDate->format('U') < time()) {
throw new ValidateException();
}
if ($this->customer == null) {
throw new OrderRequiresCustomerException();
}
}
}
What is nice about lifecycle events is, you can also re-use the
methods at other places in your domain, for example in combination
with your form library. Additionally there is no limitation in the
number of methods you register on one particular event, i.e. you
can register multiple methods for validation in "PrePersist" or
"PreUpdate" or mix and share them in any combinations between those
two events.
There is no limit to what you can and can't validate in
"PrePersist" and "PreUpdate" as long as you don't create new entity
instances. This was already discussed in the previous blog post on
the Versionable extension, which requires another type of event
called "onFlush".
Further readings: :doc:`Lifecycle Events <../reference/events>`

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Working with DateTime Instances
===============================
There are many nitty gritty details when working with PHPs DateTime instances. You have know their inner
workings pretty well not to make mistakes with date handling. This cookbook entry holds several
interesting pieces of information on how to work with PHP DateTime instances in Doctrine 2.
DateTime changes are detected by Reference
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
When calling ``EntityManager#flush()`` Doctrine computes the changesets of all the currently managed entities
and saves the differences to the database. In case of object properties (@Column(type="datetime") or @Column(type="object"))
these comparisons are always made **BY REFERENCE**. That means the following change will **NOT** be saved into the database:
.. code-block:: php
<?php
/** @Entity */
class Article
{
/** @Column(type="datetime") */
private $updated;
public function setUpdated()
{
// will NOT be saved in the database
$this->updated->modify("now");
}
}
The way to go would be:
.. code-block:: php
<?php
class Article
{
public function setUpdated()
{
// WILL be saved in the database
$this->updated = new \DateTime("now");
}
}
Default Timezone Gotcha
~~~~~~~~~~~~~~~~~~~~~~~
By default Doctrine assumes that you are working with a default timezone. Each DateTime instance that
is created by Doctrine will be assigned the timezone that is currently the default, either through
the ``date.timezone`` ini setting or by calling ``date_default_timezone_set()``.
This is very important to handle correctly if your application runs on different serves or is moved from one to another server
(with different timezone settings). You have to make sure that the timezone is the correct one
on all this systems.
Handling different Timezones with the DateTime Type
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
If you first come across the requirement to save different you are still optimistic to manage this mess,
however let me crush your expectations fast. There is not a single database out there (supported by Doctrine 2)
that supports timezones correctly. Correctly here means that you can cover all the use-cases that
can come up with timezones. If you don't believe me you should read up on `Storing DateTime
in Databases <http://derickrethans.nl/storing-date-time-in-database.html>`_.
The problem is simple. Not a single database vendor saves the timezone, only the differences to UTC.
However with frequent daylight saving and political timezone changes you can have a UTC offset that moves
in different offset directions depending on the real location.
The solution for this dilemma is simple. Don't use timezones with DateTime and Doctrine 2. However there is a workaround
that even allows correct date-time handling with timezones:
1. Always convert any DateTime instance to UTC.
2. Only set Timezones for displaying purposes
3. Save the Timezone in the Entity for persistence.
Say we have an application for an international postal company and employees insert events regarding postal-package
around the world, in their current timezones. To determine the exact time an event occurred means to save both
the UTC time at the time of the booking and the timezone the event happened in.
.. code-block:: php
<?php
namespace DoctrineExtensions\DBAL\Types;
use Doctrine\DBAL\Platforms\AbstractPlatform;
use Doctrine\DBAL\Types\ConversionException;
class UTCDateTimeType extends DateTimeType
{
static private $utc = null;
public function convertToDatabaseValue($value, AbstractPlatform $platform)
{
if ($value === null) {
return null;
}
return $value->format($platform->getDateTimeFormatString(),
(self::$utc) ? self::$utc : (self::$utc = new \DateTimeZone('UTC'))
);
}
public function convertToPHPValue($value, AbstractPlatform $platform)
{
if ($value === null) {
return null;
}
$val = \DateTime::createFromFormat(
$platform->getDateTimeFormatString(),
$value,
(self::$utc) ? self::$utc : (self::$utc = new \DateTimeZone('UTC'))
);
if (!$val) {
throw ConversionException::conversionFailed($value, $this->getName());
}
return $val;
}
}
This database type makes sure that every DateTime instance is always saved in UTC, relative
to the current timezone that the passed DateTime instance has. To be able to transform these values
back into their real timezone you have to save the timezone in a separate field of the entity
requiring timezoned datetimes:
.. code-block:: php
<?php
namespace Shipping;
/**
* @Entity
*/
class Event
{
/** @Column(type="datetime") */
private $created;
/** @Column(type="string") */
private $timezone;
/**
* @var bool
*/
private $localized = false;
public function __construct(\DateTime $createDate)
{
$this->localized = true;
$this->created = $createDate;
$this->timezone = $createDate->getTimeZone()->getName();
}
public function getCreated()
{
if (!$this->localized) {
$this->created->setTimeZone(new \DateTimeZone($this->timezone));
}
return $this->created;
}
}
This snippet makes use of the previously discussed "changeset by reference only" property of
objects. That means a new DateTime will only be used during updating if the reference
changes between retrieval and flush operation. This means we can easily go and modify
the instance by setting the previous local timezone.

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Welcome to Doctrine 2 ORM's documentation!
==========================================
The Doctrine documentation is comprised of tutorials, a reference section and
cookbook articles that explain different parts of the Object Relational mapper.
Doctrine DBAL and Doctrine Common both have their own documentation.
Getting Help
------------
If this documentation is not helping to answer questions you have about
Doctrine ORM don't panic. You can get help from different sources:
- There is a :doc:`FAQ <reference/faq>` with answers to frequent questions.
- The `Doctrine Mailing List <http://groups.google.com/group/doctrine-user>`_
- Internet Relay Chat (IRC) in `#doctrine on Freenode <irc://irc.freenode.net/doctrine>`_
- Report a bug on `JIRA <http://www.doctrine-project.org/jira>`_.
- On `Twitter <https://twitter.com/search/%23doctrine2>`_ with ``#doctrine2``
- On `StackOverflow <http://stackoverflow.com/questions/tagged/doctrine2>`_
If you need more structure over the different topics you can browse the :doc:`table
of contents <toc>`.
Getting Started
---------------
* **Tutorial**:
:doc:`Code First <tutorials/getting-started>` |
:doc:`Model First <tutorials/getting-started-models>` |
:doc:`Database First <tutorials/getting-started-database>`
* **Introduction**:
:doc:`In 10 quick steps <tutorials/in-ten-quick-steps>` |
:doc:`Architecture <reference/architecture>`
* **Setup**:
:doc:`Installation <reference/installation>` |
:doc:`Configuration <reference/configuration>` |
:doc:`Tools <reference/tools>`
* :doc:`Limitations and knowns issues <reference/limitations-and-known-issues>`
Mapping Objects onto a Database
-------------------------------
* **Mapping**:
:doc:`Objects <reference/basic-mapping>` |
:doc:`Associations <reference/association-mapping>` |
:doc:`Inheritance <reference/inheritance-mapping>`
* **Drivers**:
:doc:`Docblock Annotations <reference/annotations-reference>` |
:doc:`XML <reference/xml-mapping>` |
:doc:`YAML <reference/yaml-mapping>` |
:doc:`PHP <reference/php-mapping>`
Working with Objects
--------------------
* **Basic Reference**:
:doc:`Entities <reference/working-with-objects>` |
:doc:`Associations <reference/working-with-associations>` |
:doc:`Events <reference/events>`
* **Query Reference**:
:doc:`DQL <reference/dql-doctrine-query-language>` |
:doc:`QueryBuilder <reference/query-builder>` |
:doc:`Native SQL <reference/native-sql>`
* **Internals**:
:doc:`Internals explained <reference/unitofwork>` |
:doc:`Associations <reference/unitofwork-associations>`
Advanced Topics
---------------
* :doc:`Transactions and Concurrency <reference/transactions-and-concurrency>`
* :doc:`Filters <reference/filters>`
* :doc:`NamingStrategy <reference/namingstrategy>`
* :doc:`Improving Performance <reference/improving-performance>`
* :doc:`Caching <reference/caching>`
* :doc:`Partial Objects <reference/partial-objects>`
* :doc:`Change Tracking Policies <reference/change-tracking-policies>`
* :doc:`Best Practices <reference/best-practices>`
* :doc:`Metadata Drivers <reference/metadata-drivers>`
Tutorials
---------
* :doc:`Indexed associations <tutorials/working-with-indexed-associations>`
* :doc:`Extra Lazy Associations <tutorials/extra-lazy-associations>`
* :doc:`Composite Primary Keys <tutorials/composite-primary-keys>`
* :doc:`Ordered associations <tutorials/ordered-associations>`
* :doc:`Pagination <tutorials/pagination>`
* :doc:`Override Field/Association Mappings In Subclasses <tutorials/override-field-association-mappings-in-subclasses>`
Cookbook
--------
* **Patterns**:
:doc:`Aggregate Fields <cookbook/aggregate-fields>` |
:doc:`Decorator Pattern <cookbook/decorator-pattern>` |
:doc:`Strategy Pattern <cookbook/strategy-cookbook-introduction>`
* **DQL Extension Points**:
:doc:`DQL Custom Walkers <cookbook/dql-custom-walkers>` |
:doc:`DQL User-Defined-Functions <cookbook/dql-user-defined-functions>`
* **Implementation**:
:doc:`Array Access <cookbook/implementing-arrayaccess-for-domain-objects>` |
:doc:`Notify ChangeTracking Example <cookbook/implementing-the-notify-changetracking-policy>` |
:doc:`Using Wakeup Or Clone <cookbook/implementing-wakeup-or-clone>` |
:doc:`Working with DateTime <cookbook/working-with-datetime>` |
:doc:`Validation <cookbook/validation-of-entities>` |
:doc:`Entities in the Session <cookbook/entities-in-session>`
* **Integration into Frameworks/Libraries**
:doc:`CodeIgniter <cookbook/integrating-with-codeigniter>`
* **Hidden Gems**
:doc:`Prefixing Table Name <cookbook/sql-table-prefixes>`
* **Custom Datatypes**
:doc:`MySQL Enums <cookbook/mysql-enums>`
:doc:`Advanced Field Value Conversion <cookbook/advanced-field-value-conversion-using-custom-mapping-types>`

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@ECHO OFF
REM Command file for Sphinx documentation
set SPHINXBUILD=sphinx-build
set BUILDDIR=_build
set ALLSPHINXOPTS=-d %BUILDDIR%/doctrees %SPHINXOPTS% .
if NOT "%PAPER%" == "" (
set ALLSPHINXOPTS=-D latex_paper_size=%PAPER% %ALLSPHINXOPTS%
)
if "%1" == "" goto help
if "%1" == "help" (
:help
echo.Please use `make ^<target^>` where ^<target^> is one of
echo. html to make standalone HTML files
echo. dirhtml to make HTML files named index.html in directories
echo. pickle to make pickle files
echo. json to make JSON files
echo. htmlhelp to make HTML files and a HTML help project
echo. qthelp to make HTML files and a qthelp project
echo. latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter
echo. changes to make an overview over all changed/added/deprecated items
echo. linkcheck to check all external links for integrity
echo. doctest to run all doctests embedded in the documentation if enabled
goto end
)
if "%1" == "clean" (
for /d %%i in (%BUILDDIR%\*) do rmdir /q /s %%i
del /q /s %BUILDDIR%\*
goto end
)
if "%1" == "html" (
%SPHINXBUILD% -b html %ALLSPHINXOPTS% %BUILDDIR%/html
echo.
echo.Build finished. The HTML pages are in %BUILDDIR%/html.
goto end
)
if "%1" == "dirhtml" (
%SPHINXBUILD% -b dirhtml %ALLSPHINXOPTS% %BUILDDIR%/dirhtml
echo.
echo.Build finished. The HTML pages are in %BUILDDIR%/dirhtml.
goto end
)
if "%1" == "pickle" (
%SPHINXBUILD% -b pickle %ALLSPHINXOPTS% %BUILDDIR%/pickle
echo.
echo.Build finished; now you can process the pickle files.
goto end
)
if "%1" == "json" (
%SPHINXBUILD% -b json %ALLSPHINXOPTS% %BUILDDIR%/json
echo.
echo.Build finished; now you can process the JSON files.
goto end
)
if "%1" == "htmlhelp" (
%SPHINXBUILD% -b htmlhelp %ALLSPHINXOPTS% %BUILDDIR%/htmlhelp
echo.
echo.Build finished; now you can run HTML Help Workshop with the ^
.hhp project file in %BUILDDIR%/htmlhelp.
goto end
)
if "%1" == "qthelp" (
%SPHINXBUILD% -b qthelp %ALLSPHINXOPTS% %BUILDDIR%/qthelp
echo.
echo.Build finished; now you can run "qcollectiongenerator" with the ^
.qhcp project file in %BUILDDIR%/qthelp, like this:
echo.^> qcollectiongenerator %BUILDDIR%\qthelp\Doctrine2ORM.qhcp
echo.To view the help file:
echo.^> assistant -collectionFile %BUILDDIR%\qthelp\Doctrine2ORM.ghc
goto end
)
if "%1" == "latex" (
%SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex
echo.
echo.Build finished; the LaTeX files are in %BUILDDIR%/latex.
goto end
)
if "%1" == "changes" (
%SPHINXBUILD% -b changes %ALLSPHINXOPTS% %BUILDDIR%/changes
echo.
echo.The overview file is in %BUILDDIR%/changes.
goto end
)
if "%1" == "linkcheck" (
%SPHINXBUILD% -b linkcheck %ALLSPHINXOPTS% %BUILDDIR%/linkcheck
echo.
echo.Link check complete; look for any errors in the above output ^
or in %BUILDDIR%/linkcheck/output.txt.
goto end
)
if "%1" == "doctest" (
%SPHINXBUILD% -b doctest %ALLSPHINXOPTS% %BUILDDIR%/doctest
echo.
echo.Testing of doctests in the sources finished, look at the ^
results in %BUILDDIR%/doctest/output.txt.
goto end
)
:end

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Architecture
============
This chapter gives an overview of the overall architecture,
terminology and constraints of Doctrine 2. It is recommended to
read this chapter carefully.
Using an Object-Relational Mapper
---------------------------------
As the term ORM already hints at, Doctrine 2 aims to simplify the
translation between database rows and the PHP object model. The
primary use case for Doctrine are therefore applications that
utilize the Object-Oriented Programming Paradigm. For applications
that not primarily work with objects Doctrine 2 is not suited very
well.
Requirements
------------
Doctrine 2 requires a minimum of PHP 5.3.0. For greatly improved
performance it is also recommended that you use APC with PHP.
Doctrine 2 Packages
-------------------
Doctrine 2 is divided into three main packages.
- Common
- DBAL (includes Common)
- ORM (includes DBAL+Common)
This manual mainly covers the ORM package, sometimes touching parts
of the underlying DBAL and Common packages. The Doctrine code base
is split in to these packages for a few reasons and they are to...
- ...make things more maintainable and decoupled
- ...allow you to use the code in Doctrine Common without the ORM
or DBAL
- ...allow you to use the DBAL without the ORM
The Common Package
~~~~~~~~~~~~~~~~~~
The Common package contains highly reusable components that have no
dependencies beyond the package itself (and PHP, of course). The
root namespace of the Common package is ``Doctrine\Common``.
The DBAL Package
~~~~~~~~~~~~~~~~
The DBAL package contains an enhanced database abstraction layer on
top of PDO but is not strongly bound to PDO. The purpose of this
layer is to provide a single API that bridges most of the
differences between the different RDBMS vendors. The root namespace
of the DBAL package is ``Doctrine\DBAL``.
The ORM Package
~~~~~~~~~~~~~~~
The ORM package contains the object-relational mapping toolkit that
provides transparent relational persistence for plain PHP objects.
The root namespace of the ORM package is ``Doctrine\ORM``.
Terminology
-----------
Entities
~~~~~~~~
An entity is a lightweight, persistent domain object. An entity can
be any regular PHP class observing the following restrictions:
- An entity class must not be final or contain final methods.
- All persistent properties/field of any entity class should
always be private or protected, otherwise lazy-loading might not
work as expected. In case you serialize entities (for example Session)
properties should be protected (See Serialize section below).
- An entity class must not implement ``__clone`` or
:doc:`do so safely <../cookbook/implementing-wakeup-or-clone>`.
- An entity class must not implement ``__wakeup`` or
:doc:`do so safely <../cookbook/implementing-wakeup-or-clone>`.
Also consider implementing
`Serializable <http://de3.php.net/manual/en/class.serializable.php>`_
instead.
- Any two entity classes in a class hierarchy that inherit
directly or indirectly from one another must not have a mapped
property with the same name. That is, if B inherits from A then B
must not have a mapped field with the same name as an already
mapped field that is inherited from A.
- An entity cannot make use of func_get_args() to implement variable parameters.
Generated proxies do not support this for performance reasons and your code might
actually fail to work when violating this restriction.
Entities support inheritance, polymorphic associations, and
polymorphic queries. Both abstract and concrete classes can be
entities. Entities may extend non-entity classes as well as entity
classes, and non-entity classes may extend entity classes.
.. note::
The constructor of an entity is only ever invoked when
*you* construct a new instance with the *new* keyword. Doctrine
never calls entity constructors, thus you are free to use them as
you wish and even have it require arguments of any type.
Entity states
~~~~~~~~~~~~~
An entity instance can be characterized as being NEW, MANAGED,
DETACHED or REMOVED.
- A NEW entity instance has no persistent identity, and is not yet
associated with an EntityManager and a UnitOfWork (i.e. those just
created with the "new" operator).
- A MANAGED entity instance is an instance with a persistent
identity that is associated with an EntityManager and whose
persistence is thus managed.
- A DETACHED entity instance is an instance with a persistent
identity that is not (or no longer) associated with an
EntityManager and a UnitOfWork.
- A REMOVED entity instance is an instance with a persistent
identity, associated with an EntityManager, that will be removed
from the database upon transaction commit.
.. _architecture_persistent_fields:
Persistent fields
~~~~~~~~~~~~~~~~~
The persistent state of an entity is represented by instance
variables. An instance variable must be directly accessed only from
within the methods of the entity by the entity instance itself.
Instance variables must not be accessed by clients of the entity.
The state of the entity is available to clients only through the
entitys methods, i.e. accessor methods (getter/setter methods) or
other business methods.
Collection-valued persistent fields and properties must be defined
in terms of the ``Doctrine\Common\Collections\Collection``
interface. The collection implementation type may be used by the
application to initialize fields or properties before the entity is
made persistent. Once the entity becomes managed (or detached),
subsequent access must be through the interface type.
Serializing entities
~~~~~~~~~~~~~~~~~~~~
Serializing entities can be problematic and is not really
recommended, at least not as long as an entity instance still holds
references to proxy objects or is still managed by an
EntityManager. If you intend to serialize (and unserialize) entity
instances that still hold references to proxy objects you may run
into problems with private properties because of technical
limitations. Proxy objects implement ``__sleep`` and it is not
possible for ``__sleep`` to return names of private properties in
parent classes. On the other hand it is not a solution for proxy
objects to implement ``Serializable`` because Serializable does not
work well with any potential cyclic object references (at least we
did not find a way yet, if you did, please contact us).
The EntityManager
~~~~~~~~~~~~~~~~~
The ``EntityManager`` class is a central access point to the ORM
functionality provided by Doctrine 2. The ``EntityManager`` API is
used to manage the persistence of your objects and to query for
persistent objects.
Transactional write-behind
~~~~~~~~~~~~~~~~~~~~~~~~~~
An ``EntityManager`` and the underlying ``UnitOfWork`` employ a
strategy called "transactional write-behind" that delays the
execution of SQL statements in order to execute them in the most
efficient way and to execute them at the end of a transaction so
that all write locks are quickly released. You should see Doctrine
as a tool to synchronize your in-memory objects with the database
in well defined units of work. Work with your objects and modify
them as usual and when you're done call ``EntityManager#flush()``
to make your changes persistent.
The Unit of Work
~~~~~~~~~~~~~~~~
Internally an ``EntityManager`` uses a ``UnitOfWork``, which is a
typical implementation of the
`Unit of Work pattern <http://martinfowler.com/eaaCatalog/unitOfWork.html>`_,
to keep track of all the things that need to be done the next time
``flush`` is invoked. You usually do not directly interact with a
``UnitOfWork`` but with the ``EntityManager`` instead.

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Basic Mapping
=============
This chapter explains the basic mapping of objects and properties.
Mapping of associations will be covered in the next chapter
"Association Mapping".
Mapping Drivers
---------------
Doctrine provides several different ways for specifying
object-relational mapping metadata:
- Docblock Annotations
- XML
- YAML
This manual usually mentions docblock annotations in all the examples
that are spread throughout all chapters, however for many examples
alternative YAML and XML examples are given as well. There are dedicated
reference chapters for XML and YAML mapping, respectively that explain them
in more detail. There is also an Annotation reference chapter.
.. note::
If you're wondering which mapping driver gives the best
performance, the answer is: They all give exactly the same performance.
Once the metadata of a class has
been read from the source (annotations, xml or yaml) it is stored
in an instance of the ``Doctrine\ORM\Mapping\ClassMetadata`` class
and these instances are stored in the metadata cache. Therefore at
the end of the day all drivers perform equally well. If you're not
using a metadata cache (not recommended!) then the XML driver might
have a slight edge in performance due to the powerful native XML
support in PHP.
Introduction to Docblock Annotations
------------------------------------
You've probably used docblock annotations in some form already,
most likely to provide documentation metadata for a tool like
``PHPDocumentor`` (@author, @link, ...). Docblock annotations are a
tool to embed metadata inside the documentation section which can
then be processed by some tool. Doctrine 2 generalizes the concept
of docblock annotations so that they can be used for any kind of
metadata and so that it is easy to define new docblock annotations.
In order to allow more involved annotation values and to reduce the
chances of clashes with other docblock annotations, the Doctrine 2
docblock annotations feature an alternative syntax that is heavily
inspired by the Annotation syntax introduced in Java 5.
The implementation of these enhanced docblock annotations is
located in the ``Doctrine\Common\Annotations`` namespace and
therefore part of the Common package. Doctrine 2 docblock
annotations support namespaces and nested annotations among other
things. The Doctrine 2 ORM defines its own set of docblock
annotations for supplying object-relational mapping metadata.
.. note::
If you're not comfortable with the concept of docblock
annotations, don't worry, as mentioned earlier Doctrine 2 provides
XML and YAML alternatives and you could easily implement your own
favourite mechanism for defining ORM metadata.
Persistent classes
------------------
In order to mark a class for object-relational persistence it needs
to be designated as an entity. This can be done through the
``@Entity`` marker annotation.
.. configuration-block::
.. code-block:: php
<?php
/** @Entity */
class MyPersistentClass
{
//...
}
.. code-block:: xml
<doctrine-mapping>
<entity name="MyPersistentClass">
<!-- ... -->
</entity>
</doctrine-mapping>
.. code-block:: yaml
MyPersistentClass:
type: entity
# ...
By default, the entity will be persisted to a table with the same
name as the class name. In order to change that, you can use the
``@Table`` annotation as follows:
.. configuration-block::
.. code-block:: php
<?php
/**
* @Entity
* @Table(name="my_persistent_class")
*/
class MyPersistentClass
{
//...
}
.. code-block:: xml
<doctrine-mapping>
<entity name="MyPersistentClass" table="my_persistent_class">
<!-- ... -->
</entity>
</doctrine-mapping>
.. code-block:: yaml
MyPersistentClass:
type: entity
table: my_persistent_class
# ...
Now instances of MyPersistentClass will be persisted into a table
named ``my_persistent_class``.
Doctrine Mapping Types
----------------------
A Doctrine Mapping Type defines the mapping between a PHP type and
an SQL type. All Doctrine Mapping Types that ship with Doctrine are
fully portable between different RDBMS. You can even write your own
custom mapping types that might or might not be portable, which is
explained later in this chapter.
For example, the Doctrine Mapping Type ``string`` defines the
mapping from a PHP string to an SQL VARCHAR (or VARCHAR2 etc.
depending on the RDBMS brand). Here is a quick overview of the
built-in mapping types:
- ``string``: Type that maps an SQL VARCHAR to a PHP string.
- ``integer``: Type that maps an SQL INT to a PHP integer.
- ``smallint``: Type that maps a database SMALLINT to a PHP
integer.
- ``bigint``: Type that maps a database BIGINT to a PHP string.
- ``boolean``: Type that maps an SQL boolean to a PHP boolean.
- ``decimal``: Type that maps an SQL DECIMAL to a PHP string.
- ``date``: Type that maps an SQL DATETIME to a PHP DateTime
object.
- ``time``: Type that maps an SQL TIME to a PHP DateTime object.
- ``datetime``: Type that maps an SQL DATETIME/TIMESTAMP to a PHP
DateTime object.
- ``text``: Type that maps an SQL CLOB to a PHP string.
- ``object``: Type that maps a SQL CLOB to a PHP object using
``serialize()`` and ``unserialize()``
- ``array``: Type that maps a SQL CLOB to a PHP array using
``serialize()`` and ``unserialize()``
- ``float``: Type that maps a SQL Float (Double Precision) to a
PHP double. *IMPORTANT*: Works only with locale settings that use
decimal points as separator.
- ``guid``: Type that maps a database GUID/UUID to a PHP string. Defaults to
varchar but uses a specific type if the platform supports it.
.. note::
Doctrine Mapping Types are NOT SQL types and NOT PHP
types! They are mapping types between 2 types.
Additionally Mapping types are *case-sensitive*. For example, using
a DateTime column will NOT match the datetime type that ships with
Doctrine 2.
.. note::
DateTime and Object types are compared by reference, not by value. Doctrine updates this values
if the reference changes and therefore behaves as if these objects are immutable value objects.
.. warning::
All Date types assume that you are exclusively using the default timezone
set by `date_default_timezone_set() <http://docs.php.net/manual/en/function.date-default-timezone-set.php>`_
or by the php.ini configuration ``date.timezone``. Working with
different timezones will cause troubles and unexpected behavior.
If you need specific timezone handling you have to handle this
in your domain, converting all the values back and forth from UTC.
There is also a :doc:`cookbook entry <../cookbook/working-with-datetime>`
on working with datetimes that gives hints for implementing
multi timezone applications.
Property Mapping
----------------
After a class has been marked as an entity it can specify mappings
for its instance fields. Here we will only look at simple fields
that hold scalar values like strings, numbers, etc. Associations to
other objects are covered in the chapter "Association Mapping".
To mark a property for relational persistence the ``@Column``
docblock annotation is used. This annotation usually requires at
least 1 attribute to be set, the ``type``. The ``type`` attribute
specifies the Doctrine Mapping Type to use for the field. If the
type is not specified, 'string' is used as the default mapping type
since it is the most flexible.
Example:
.. configuration-block::
.. code-block:: php
<?php
/** @Entity */
class MyPersistentClass
{
/** @Column(type="integer") */
private $id;
/** @Column(length=50) */
private $name; // type defaults to string
//...
}
.. code-block:: xml
<doctrine-mapping>
<entity name="MyPersistentClass">
<field name="id" type="integer" />
<field name="name" length="50" />
</entity>
</doctrine-mapping>
.. code-block:: yaml
MyPersistentClass:
type: entity
fields:
id:
type: integer
name:
length: 50
In that example we mapped the field ``id`` to the column ``id``
using the mapping type ``integer`` and the field ``name`` is mapped
to the column ``name`` with the default mapping type ``string``. As
you can see, by default the column names are assumed to be the same
as the field names. To specify a different name for the column, you
can use the ``name`` attribute of the Column annotation as
follows:
.. configuration-block::
.. code-block:: php
<?php
/** @Column(name="db_name") */
private $name;
.. code-block:: xml
<doctrine-mapping>
<entity name="MyPersistentClass">
<field name="name" column="db_name" />
</entity>
</doctrine-mapping>
.. code-block:: yaml
MyPersistentClass:
type: entity
fields:
name:
length: 50
column: db_name
The Column annotation has some more attributes. Here is a complete
list:
- ``type``: (optional, defaults to 'string') The mapping type to
use for the column.
- ``column``: (optional, defaults to field name) The name of the
column in the database.
- ``length``: (optional, default 255) The length of the column in
the database. (Applies only if a string-valued column is used).
- ``unique``: (optional, default FALSE) Whether the column is a
unique key.
- ``nullable``: (optional, default FALSE) Whether the database
column is nullable.
- ``precision``: (optional, default 0) The precision for a decimal
(exact numeric) column. (Applies only if a decimal column is used.)
- ``scale``: (optional, default 0) The scale for a decimal (exact
numeric) column. (Applies only if a decimal column is used.)
.. _reference-basic-mapping-custom-mapping-types:
Custom Mapping Types
--------------------
Doctrine allows you to create new mapping types. This can come in
handy when you're missing a specific mapping type or when you want
to replace the existing implementation of a mapping type.
In order to create a new mapping type you need to subclass
``Doctrine\DBAL\Types\Type`` and implement/override the methods as
you wish. Here is an example skeleton of such a custom type class:
.. code-block:: php
<?php
namespace My\Project\Types;
use Doctrine\DBAL\Types\Type;
use Doctrine\DBAL\Platforms\AbstractPlatform;
/**
* My custom datatype.
*/
class MyType extends Type
{
const MYTYPE = 'mytype'; // modify to match your type name
public function getSqlDeclaration(array $fieldDeclaration, AbstractPlatform $platform)
{
// return the SQL used to create your column type. To create a portable column type, use the $platform.
}
public function convertToPHPValue($value, AbstractPlatform $platform)
{
// This is executed when the value is read from the database. Make your conversions here, optionally using the $platform.
}
public function convertToDatabaseValue($value, AbstractPlatform $platform)
{
// This is executed when the value is written to the database. Make your conversions here, optionally using the $platform.
}
public function getName()
{
return self::MYTYPE; // modify to match your constant name
}
}
Restrictions to keep in mind:
- If the value of the field is *NULL* the method
``convertToDatabaseValue()`` is not called.
- The ``UnitOfWork`` never passes values to the database convert
method that did not change in the request.
When you have implemented the type you still need to let Doctrine
know about it. This can be achieved through the
``Doctrine\DBAL\Types\Type#addType($name, $className)``
method. See the following example:
.. code-block:: php
<?php
// in bootstrapping code
// ...
use Doctrine\DBAL\Types\Type;
// ...
// Register my type
Type::addType('mytype', 'My\Project\Types\MyType');
As can be seen above, when registering the custom types in the
configuration you specify a unique name for the mapping type and
map that to the corresponding fully qualified class name. Now you
can use your new type in your mapping like this:
.. code-block:: php
<?php
class MyPersistentClass
{
/** @Column(type="mytype") */
private $field;
}
To have Schema-Tool convert the underlying database type of your
new "mytype" directly into an instance of ``MyType`` you have to
additionally register this mapping with your database platform:
.. code-block:: php
<?php
$conn = $em->getConnection();
$conn->getDatabasePlatform()->registerDoctrineTypeMapping('db_mytype', 'mytype');
Now using Schema-Tool, whenever it detects a column having the
``db_mytype`` it will convert it into a ``mytype`` Doctrine Type
instance for Schema representation. Keep in mind that you can
easily produce clashes this way, each database type can only map to
exactly one Doctrine mapping type.
Custom ColumnDefinition
-----------------------
You can define a custom definition for each column using the "columnDefinition"
attribute of ``@Column``. You have to define all the definitions that follow
the name of a column here.
.. note::
Using columnDefinition will break change-detection in SchemaTool.
Identifiers / Primary Keys
--------------------------
Every entity class needs an identifier/primary key. You designate
the field that serves as the identifier with the ``@Id`` marker
annotation. Here is an example:
.. configuration-block::
.. code-block:: php
<?php
class MyPersistentClass
{
/** @Id @Column(type="integer") */
private $id;
//...
}
.. code-block:: xml
<doctrine-mapping>
<entity name="MyPersistentClass">
<id name="id" type="integer" />
<field name="name" length="50" />
</entity>
</doctrine-mapping>
.. code-block:: yaml
MyPersistentClass:
type: entity
id:
id:
type: integer
fields:
name:
length: 50
Without doing anything else, the identifier is assumed to be
manually assigned. That means your code would need to properly set
the identifier property before passing a new entity to
``EntityManager#persist($entity)``.
A common alternative strategy is to use a generated value as the
identifier. To do this, you use the ``@GeneratedValue`` annotation
like this:
.. configuration-block::
.. code-block:: php
<?php
class MyPersistentClass
{
/**
* @Id @Column(type="integer")
* @GeneratedValue
*/
private $id;
}
.. code-block:: xml
<doctrine-mapping>
<entity name="MyPersistentClass">
<id name="id" type="integer">
<generator strategy="AUTO" />
</id>
<field name="name" length="50" />
</entity>
</doctrine-mapping>
.. code-block:: yaml
MyPersistentClass:
type: entity
id:
id:
type: integer
generator:
strategy: AUTO
fields:
name:
length: 50
This tells Doctrine to automatically generate a value for the
identifier. How this value is generated is specified by the
``strategy`` attribute, which is optional and defaults to 'AUTO'. A
value of ``AUTO`` tells Doctrine to use the generation strategy
that is preferred by the currently used database platform. See
below for details.
Identifier Generation Strategies
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The previous example showed how to use the default identifier
generation strategy without knowing the underlying database with
the AUTO-detection strategy. It is also possible to specify the
identifier generation strategy more explicitly, which allows to
make use of some additional features.
Here is the list of possible generation strategies:
- ``AUTO`` (default): Tells Doctrine to pick the strategy that is
preferred by the used database platform. The preferred strategies
are IDENTITY for MySQL, SQLite and MsSQL and SEQUENCE for Oracle
and PostgreSQL. This strategy provides full portability.
- ``SEQUENCE``: Tells Doctrine to use a database sequence for ID
generation. This strategy does currently not provide full
portability. Sequences are supported by Oracle and PostgreSql.
- ``IDENTITY``: Tells Doctrine to use special identity columns in
the database that generate a value on insertion of a row. This
strategy does currently not provide full portability and is
supported by the following platforms: MySQL/SQLite
(AUTO\_INCREMENT), MSSQL (IDENTITY) and PostgreSQL (SERIAL).
- ``TABLE``: Tells Doctrine to use a separate table for ID
generation. This strategy provides full portability.
***This strategy is not yet implemented!***
- ``NONE``: Tells Doctrine that the identifiers are assigned (and
thus generated) by your code. The assignment must take place before
a new entity is passed to ``EntityManager#persist``. NONE is the
same as leaving off the @GeneratedValue entirely.
Sequence Generator
^^^^^^^^^^^^^^^^^^
The Sequence Generator can currently be used in conjunction with
Oracle or Postgres and allows some additional configuration options
besides specifying the sequence's name:
.. configuration-block::
.. code-block:: php
<?php
class User
{
/**
* @Id
* @GeneratedValue(strategy="SEQUENCE")
* @SequenceGenerator(sequenceName="tablename_seq", initialValue=1, allocationSize=100)
*/
protected $id = null;
}
.. code-block:: xml
<doctrine-mapping>
<entity name="User">
<id name="id" type="integer">
<generator strategy="SEQUENCE" />
<sequence-generator sequence-name="tablename_seq" allocation-size="100" initial-value="1" />
</id>
</entity>
</doctrine-mapping>
.. code-block:: yaml
MyPersistentClass:
type: entity
id:
id:
type: integer
generator:
strategy: SEQUENCE
sequenceGenerator:
sequenceName: tablename_seq
allocationSize: 100
initialValue: 1
The initial value specifies at which value the sequence should
start.
The allocationSize is a powerful feature to optimize INSERT
performance of Doctrine. The allocationSize specifies by how much
values the sequence is incremented whenever the next value is
retrieved. If this is larger than 1 (one) Doctrine can generate
identifier values for the allocationSizes amount of entities. In
the above example with ``allocationSize=100`` Doctrine 2 would only
need to access the sequence once to generate the identifiers for
100 new entities.
*The default allocationSize for a @SequenceGenerator is currently 10.*
.. caution::
The allocationSize is detected by SchemaTool and
transformed into an "INCREMENT BY " clause in the CREATE SEQUENCE
statement. For a database schema created manually (and not
SchemaTool) you have to make sure that the allocationSize
configuration option is never larger than the actual sequences
INCREMENT BY value, otherwise you may get duplicate keys.
.. note::
It is possible to use strategy="AUTO" and at the same time
specifying a @SequenceGenerator. In such a case, your custom
sequence settings are used in the case where the preferred strategy
of the underlying platform is SEQUENCE, such as for Oracle and
PostgreSQL.
Composite Keys
~~~~~~~~~~~~~~
Doctrine 2 allows to use composite primary keys. There are however
some restrictions opposed to using a single identifier. The use of
the ``@GeneratedValue`` annotation is only supported for simple
(not composite) primary keys, which means you can only use
composite keys if you generate the primary key values yourself
before calling ``EntityManager#persist()`` on the entity.
To designate a composite primary key / identifier, simply put the
@Id marker annotation on all fields that make up the primary key.
Quoting Reserved Words
----------------------
It may sometimes be necessary to quote a column or table name
because it conflicts with a reserved word of the particular RDBMS
in use. This is often referred to as "Identifier Quoting". To let
Doctrine know that you would like a table or column name to be
quoted in all SQL statements, enclose the table or column name in
backticks. Here is an example:
.. code-block:: php
<?php
/** @Column(name="`number`", type="integer") */
private $number;
Doctrine will then quote this column name in all SQL statements
according to the used database platform.
.. warning::
Identifier Quoting is not supported for join column
names or discriminator column names.
.. warning::
Identifier Quoting is a feature that is mainly intended
to support legacy database schemas. The use of reserved words and
identifier quoting is generally discouraged. Identifier quoting
should not be used to enable the use non-standard-characters such
as a dash in a hypothetical column ``test-name``. Also Schema-Tool
will likely have troubles when quoting is used for case-sensitivity
reasons (in Oracle for example).

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Batch Processing
================
This chapter shows you how to accomplish bulk inserts, updates and
deletes with Doctrine in an efficient way. The main problem with
bulk operations is usually not to run out of memory and this is
especially what the strategies presented here provide help with.
.. warning::
An ORM tool is not primarily well-suited for mass
inserts, updates or deletions. Every RDBMS has its own, most
effective way of dealing with such operations and if the options
outlined below are not sufficient for your purposes we recommend
you use the tools for your particular RDBMS for these bulk
operations.
Bulk Inserts
------------
Bulk inserts in Doctrine are best performed in batches, taking
advantage of the transactional write-behind behavior of an
``EntityManager``. The following code shows an example for
inserting 10000 objects with a batch size of 20. You may need to
experiment with the batch size to find the size that works best for
you. Larger batch sizes mean more prepared statement reuse
internally but also mean more work during ``flush``.
.. code-block:: php
<?php
$batchSize = 20;
for ($i = 1; $i <= 10000; ++$i) {
$user = new CmsUser;
$user->setStatus('user');
$user->setUsername('user' . $i);
$user->setName('Mr.Smith-' . $i);
$em->persist($user);
if (($i % $batchSize) == 0) {
$em->flush();
$em->clear(); // Detaches all objects from Doctrine!
}
}
Bulk Updates
------------
There are 2 possibilities for bulk updates with Doctrine.
DQL UPDATE
~~~~~~~~~~
The by far most efficient way for bulk updates is to use a DQL
UPDATE query. Example:
.. code-block:: php
<?php
$q = $em->createQuery('update MyProject\Model\Manager m set m.salary = m.salary * 0.9');
$numUpdated = $q->execute();
Iterating results
~~~~~~~~~~~~~~~~~
An alternative solution for bulk updates is to use the
``Query#iterate()`` facility to iterate over the query results step
by step instead of loading the whole result into memory at once.
The following example shows how to do this, combining the iteration
with the batching strategy that was already used for bulk inserts:
.. code-block:: php
<?php
$batchSize = 20;
$i = 0;
$q = $em->createQuery('select u from MyProject\Model\User u');
$iterableResult = $q->iterate();
foreach($iterableResult AS $row) {
$user = $row[0];
$user->increaseCredit();
$user->calculateNewBonuses();
if (($i % $batchSize) == 0) {
$em->flush(); // Executes all updates.
$em->clear(); // Detaches all objects from Doctrine!
}
++$i;
}
.. note::
Iterating results is not possible with queries that
fetch-join a collection-valued association. The nature of such SQL
result sets is not suitable for incremental hydration.
Bulk Deletes
------------
There are two possibilities for bulk deletes with Doctrine. You can
either issue a single DQL DELETE query or you can iterate over
results removing them one at a time.
DQL DELETE
~~~~~~~~~~
The by far most efficient way for bulk deletes is to use a DQL
DELETE query.
Example:
.. code-block:: php
<?php
$q = $em->createQuery('delete from MyProject\Model\Manager m where m.salary > 100000');
$numDeleted = $q->execute();
Iterating results
~~~~~~~~~~~~~~~~~
An alternative solution for bulk deletes is to use the
``Query#iterate()`` facility to iterate over the query results step
by step instead of loading the whole result into memory at once.
The following example shows how to do this:
.. code-block:: php
<?php
$batchSize = 20;
$i = 0;
$q = $em->createQuery('select u from MyProject\Model\User u');
$iterableResult = $q->iterate();
while (($row = $iterableResult->next()) !== false) {
$em->remove($row[0]);
if (($i % $batchSize) == 0) {
$em->flush(); // Executes all deletions.
$em->clear(); // Detaches all objects from Doctrine!
}
++$i;
}
.. note::
Iterating results is not possible with queries that
fetch-join a collection-valued association. The nature of such SQL
result sets is not suitable for incremental hydration.
Iterating Large Results for Data-Processing
-------------------------------------------
You can use the ``iterate()`` method just to iterate over a large
result and no UPDATE or DELETE intention. The ``IterableResult``
instance returned from ``$query->iterate()`` implements the
Iterator interface so you can process a large result without memory
problems using the following approach:
.. code-block:: php
<?php
$q = $this->_em->createQuery('select u from MyProject\Model\User u');
$iterableResult = $q->iterate();
foreach ($iterableResult AS $row) {
// do stuff with the data in the row, $row[0] is always the object
// detach from Doctrine, so that it can be Garbage-Collected immediately
$this->_em->detach($row[0]);
}
.. note::
Iterating results is not possible with queries that
fetch-join a collection-valued association. The nature of such SQL
result sets is not suitable for incremental hydration.

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Best Practices
==============
The best practices mentioned here that affect database
design generally refer to best practices when working with Doctrine
and do not necessarily reflect best practices for database design
in general.
Don't use public properties on entities
---------------------------------------
It is very important that you don't map public properties on
entities, but only protected or private ones. The reason for this
is simple, whenever you access a public property of a proxy object
that hasn't been initialized yet the return value will be null.
Doctrine cannot hook into this process and magically make the
entity lazy load.
This can create situations where it is very hard to debug the
current failure. We therefore urge you to map only private and
protected properties on entities and use getter methods or magic
\_\_get() to access them.
Constrain relationships as much as possible
-------------------------------------------
It is important to constrain relationships as much as possible.
This means:
- Impose a traversal direction (avoid bidirectional associations
if possible)
- Eliminate nonessential associations
This has several benefits:
- Reduced coupling in your domain model
- Simpler code in your domain model (no need to maintain
bidirectionality properly)
- Less work for Doctrine
Avoid composite keys
--------------------
Even though Doctrine fully supports composite keys it is best not
to use them if possible. Composite keys require additional work by
Doctrine and thus have a higher probability of errors.
Use events judiciously
----------------------
The event system of Doctrine is great and fast. Even though making
heavy use of events, especially lifecycle events, can have a
negative impact on the performance of your application. Thus you
should use events judiciously.
Use cascades judiciously
------------------------
Automatic cascades of the persist/remove/merge/etc. operations are
very handy but should be used wisely. Do NOT simply add all
cascades to all associations. Think about which cascades actually
do make sense for you for a particular association, given the
scenarios it is most likely used in.
Don't use special characters
----------------------------
Avoid using any non-ASCII characters in class, field, table or
column names. Doctrine itself is not unicode-safe in many places
and will not be until PHP itself is fully unicode-aware (PHP6).
Don't use identifier quoting
----------------------------
Identifier quoting is a workaround for using reserved words that
often causes problems in edge cases. Do not use identifier quoting
and avoid using reserved words as table or column names.
Initialize collections in the constructor
-----------------------------------------
It is recommended best practice to initialize any business
collections in entities in the constructor. Example:
.. code-block:: php
<?php
namespace MyProject\Model;
use Doctrine\Common\Collections\ArrayCollection;
class User {
private $addresses;
private $articles;
public function __construct() {
$this->addresses = new ArrayCollection;
$this->articles = new ArrayCollection;
}
}
Don't map foreign keys to fields in an entity
---------------------------------------------
Foreign keys have no meaning whatsoever in an object model. Foreign
keys are how a relational database establishes relationships. Your
object model establishes relationships through object references.
Thus mapping foreign keys to object fields heavily leaks details of
the relational model into the object model, something you really
should not do.
Use explicit transaction demarcation
------------------------------------
While Doctrine will automatically wrap all DML operations in a
transaction on flush(), it is considered best practice to
explicitly set the transaction boundaries yourself. Otherwise every
single query is wrapped in a small transaction (Yes, SELECT
queries, too) since you can not talk to your database outside of a
transaction. While such short transactions for read-only (SELECT)
queries generally don't have any noticeable performance impact, it
is still preferable to use fewer, well-defined transactions that
are established through explicit transaction boundaries.

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Caching
=======
Doctrine provides cache drivers in the ``Common`` package for some
of the most popular caching implementations such as APC, Memcache
and Xcache. We also provide an ``ArrayCache`` driver which stores
the data in a PHP array. Obviously, the cache does not live between
requests but this is useful for testing in a development
environment.
Cache Drivers
-------------
The cache drivers follow a simple interface that is defined in
``Doctrine\Common\Cache\Cache``. All the cache drivers extend a
base class ``Doctrine\Common\Cache\AbstractCache`` which implements
the before mentioned interface.
The interface defines the following methods for you to publicly
use.
- fetch($id) - Fetches an entry from the cache.
- contains($id) - Test if an entry exists in the cache.
- save($id, $data, $lifeTime = false) - Puts data into the cache.
- delete($id) - Deletes a cache entry.
Each driver extends the ``AbstractCache`` class which defines a few
abstract protected methods that each of the drivers must
implement.
- \_doFetch($id)
- \_doContains($id)
- \_doSave($id, $data, $lifeTime = false)
- \_doDelete($id)
The public methods ``fetch()``, ``contains()``, etc. utilize the
above protected methods that are implemented by the drivers. The
code is organized this way so that the protected methods in the
drivers do the raw interaction with the cache implementation and
the ``AbstractCache`` can build custom functionality on top of
these methods.
APC
~~~
In order to use the APC cache driver you must have it compiled and
enabled in your php.ini. You can read about APC
`in the PHP Documentation <http://us2.php.net/apc>`_. It will give
you a little background information about what it is and how you
can use it as well as how to install it.
Below is a simple example of how you could use the APC cache driver
by itself.
.. code-block:: php
<?php
$cacheDriver = new \Doctrine\Common\Cache\ApcCache();
$cacheDriver->save('cache_id', 'my_data');
Memcache
~~~~~~~~
In order to use the Memcache cache driver you must have it compiled
and enabled in your php.ini. You can read about Memcache
` on the PHP website <http://us2.php.net/memcache>`_. It will
give you a little background information about what it is and how
you can use it as well as how to install it.
Below is a simple example of how you could use the Memcache cache
driver by itself.
.. code-block:: php
<?php
$memcache = new Memcache();
$memcache->connect('memcache_host', 11211);
$cacheDriver = new \Doctrine\Common\Cache\MemcacheCache();
$cacheDriver->setMemcache($memcache);
$cacheDriver->save('cache_id', 'my_data');
Xcache
~~~~~~
In order to use the Xcache cache driver you must have it compiled
and enabled in your php.ini. You can read about Xcache
`here <http://xcache.lighttpd.net/>`_. It will give you a little
background information about what it is and how you can use it as
well as how to install it.
Below is a simple example of how you could use the Xcache cache
driver by itself.
.. code-block:: php
<?php
$cacheDriver = new \Doctrine\Common\Cache\XcacheCache();
$cacheDriver->save('cache_id', 'my_data');
Redis
~~~~~
In order to use the Redis cache driver you must have it compiled
and enabled in your php.ini. You can read about what is Redis
`from here <http://redis.io/>`_. Also check
`here <https://github.com/nicolasff/phpredis/>`_ for how you can use
and install Redis PHP extension.
Below is a simple example of how you could use the Redis cache
driver by itself.
.. code-block:: php
<?php
$redis = new Redis();
$redis->connect('redis_host', 6379);
$cacheDriver = new \Doctrine\Common\Cache\RedisCache();
$cacheDriver->setRedis($redis);
$cacheDriver->save('cache_id', 'my_data');
Using Cache Drivers
-------------------
In this section we'll describe how you can fully utilize the API of
the cache drivers to save cache, check if some cache exists, fetch
the cached data and delete the cached data. We'll use the
``ArrayCache`` implementation as our example here.
.. code-block:: php
<?php
$cacheDriver = new \Doctrine\Common\Cache\ArrayCache();
Saving
~~~~~~
To save some data to the cache driver it is as simple as using the
``save()`` method.
.. code-block:: php
<?php
$cacheDriver->save('cache_id', 'my_data');
The ``save()`` method accepts three arguments which are described
below.
- ``$id`` - The cache id
- ``$data`` - The cache entry/data.
- ``$lifeTime`` - The lifetime. If != false, sets a specific
lifetime for this cache entry (null => infinite lifeTime).
You can save any type of data whether it be a string, array,
object, etc.
.. code-block:: php
<?php
$array = array(
'key1' => 'value1',
'key2' => 'value2'
);
$cacheDriver->save('my_array', $array);
Checking
~~~~~~~~
Checking whether some cache exists is very simple, just use the
``contains()`` method. It accepts a single argument which is the ID
of the cache entry.
.. code-block:: php
<?php
if ($cacheDriver->contains('cache_id')) {
echo 'cache exists';
} else {
echo 'cache does not exist';
}
Fetching
~~~~~~~~
Now if you want to retrieve some cache entry you can use the
``fetch()`` method. It also accepts a single argument just like
``contains()`` which is the ID of the cache entry.
.. code-block:: php
<?php
$array = $cacheDriver->fetch('my_array');
Deleting
~~~~~~~~
As you might guess, deleting is just as easy as saving, checking
and fetching. We have a few ways to delete cache entries. You can
delete by an individual ID, regular expression, prefix, suffix or
you can delete all entries.
By Cache ID
^^^^^^^^^^^
.. code-block:: php
<?php
$cacheDriver->delete('my_array');
You can also pass wild cards to the ``delete()`` method and it will
return an array of IDs that were matched and deleted.
.. code-block:: php
<?php
$deleted = $cacheDriver->delete('users_*');
By Regular Expression
^^^^^^^^^^^^^^^^^^^^^
If you need a little more control than wild cards you can use a PHP
regular expression to delete cache entries.
.. code-block:: php
<?php
$deleted = $cacheDriver->deleteByRegex('/users_.*/');
By Prefix
^^^^^^^^^
Because regular expressions are kind of slow, if simply deleting by
a prefix or suffix is sufficient, it is recommended that you do
that instead of using a regular expression because it will be much
faster if you have many cache entries.
.. code-block:: php
<?php
$deleted = $cacheDriver->deleteByPrefix('users_');
By Suffix
^^^^^^^^^
Just like we did above with the prefix you can do the same with a
suffix.
.. code-block:: php
<?php
$deleted = $cacheDriver->deleteBySuffix('_my_account');
All
^^^
If you simply want to delete all cache entries you can do so with
the ``deleteAll()`` method.
.. code-block:: php
<?php
$deleted = $cacheDriver->deleteAll();
Counting
~~~~~~~~
If you want to count how many entries are stored in the cache
driver instance you can use the ``count()`` method.
.. code-block:: php
<?php
echo $cacheDriver->count();
Namespaces
~~~~~~~~~~
If you heavily use caching in your application and utilize it in
multiple parts of your application, or use it in different
applications on the same server you may have issues with cache
naming collisions. This can be worked around by using namespaces.
You can set the namespace a cache driver should use by using the
``setNamespace()`` method.
.. code-block:: php
<?php
$cacheDriver->setNamespace('my_namespace_');
Integrating with the ORM
------------------------
The Doctrine ORM package is tightly integrated with the cache
drivers to allow you to improve performance of various aspects of
Doctrine by just simply making some additional configurations and
method calls.
Query Cache
~~~~~~~~~~~
It is highly recommended that in a production environment you cache
the transformation of a DQL query to its SQL counterpart. It
doesn't make sense to do this parsing multiple times as it doesn't
change unless you alter the DQL query.
This can be done by configuring the query cache implementation to
use on your ORM configuration.
.. code-block:: php
<?php
$config = new \Doctrine\ORM\Configuration();
$config->setQueryCacheImpl(new \Doctrine\Common\Cache\ApcCache());
Result Cache
~~~~~~~~~~~~
The result cache can be used to cache the results of your queries
so that we don't have to query the database or hydrate the data
again after the first time. You just need to configure the result
cache implementation.
.. code-block:: php
<?php
$config->setResultCacheImpl(new \Doctrine\Common\Cache\ApcCache());
Now when you're executing DQL queries you can configure them to use
the result cache.
.. code-block:: php
<?php
$query = $em->createQuery('select u from \Entities\User u');
$query->useResultCache(true);
You can also configure an individual query to use a different
result cache driver.
.. code-block:: php
<?php
$query->setResultCacheDriver(new \Doctrine\Common\Cache\ApcCache());
.. note::
Setting the result cache driver on the query will
automatically enable the result cache for the query. If you want to
disable it pass false to ``useResultCache()``.
::
<?php
$query->useResultCache(false);
If you want to set the time the cache has to live you can use the
``setResultCacheLifetime()`` method.
.. code-block:: php
<?php
$query->setResultCacheLifetime(3600);
The ID used to store the result set cache is a hash which is
automatically generated for you if you don't set a custom ID
yourself with the ``setResultCacheId()`` method.
.. code-block:: php
<?php
$query->setResultCacheId('my_custom_id');
You can also set the lifetime and cache ID by passing the values as
the second and third argument to ``useResultCache()``.
.. code-block:: php
<?php
$query->useResultCache(true, 3600, 'my_custom_id');
Metadata Cache
~~~~~~~~~~~~~~
Your class metadata can be parsed from a few different sources like
YAML, XML, Annotations, etc. Instead of parsing this information on
each request we should cache it using one of the cache drivers.
Just like the query and result cache we need to configure it
first.
.. code-block:: php
<?php
$config->setMetadataCacheImpl(new \Doctrine\Common\Cache\ApcCache());
Now the metadata information will only be parsed once and stored in
the cache driver.
Clearing the Cache
------------------
We've already shown you previously how you can use the API of the
cache drivers to manually delete cache entries. For your
convenience we offer a command line task for you to help you with
clearing the query, result and metadata cache.
From the Doctrine command line you can run the following command.
.. code-block:: php
$ ./doctrine clear-cache
Running this task with no arguments will clear all the cache for
all the configured drivers. If you want to be more specific about
what you clear you can use the following options.
To clear the query cache use the ``--query`` option.
.. code-block:: php
$ ./doctrine clear-cache --query
To clear the metadata cache use the ``--metadata`` option.
.. code-block:: php
$ ./doctrine clear-cache --metadata
To clear the result cache use the ``--result`` option.
.. code-block:: php
$ ./doctrine clear-cache --result
When you use the ``--result`` option you can use some other options
to be more specific about what queries result sets you want to
clear.
Just like the API of the cache drivers you can clear based on an
ID, regular expression, prefix or suffix.
.. code-block:: php
$ ./doctrine clear-cache --result --id=cache_id
Or if you want to clear based on a regular expressions.
.. code-block:: php
$ ./doctrine clear-cache --result --regex=users_.*
Or with a prefix.
.. code-block:: php
$ ./doctrine clear-cache --result --prefix=users_
And finally with a suffix.
.. code-block:: php
$ ./doctrine clear-cache --result --suffix=_my_account
.. note::
Using the ``--id``, ``--regex``, etc. options with the
``--query`` and ``--metadata`` are not allowed as it is not
necessary to be specific about what you clear. You only ever need
to completely clear the cache to remove stale entries.
Cache Slams
-----------
Something to be careful of when utilizing the cache drivers is
cache slams. If you have a heavily trafficked website with some
code that checks for the existence of a cache record and if it does
not exist it generates the information and saves it to the cache.
Now if 100 requests were issued all at the same time and each one
sees the cache does not exist and they all try and insert the same
cache entry it could lock up APC, Xcache, etc. and cause problems.
Ways exist to work around this, like pre-populating your cache and
not letting your users requests populate the cache.
You can read more about cache slams
`in this blog post <http://notmysock.org/blog/php/user-cache-timebomb.html>`_.

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Change Tracking Policies
========================
Change tracking is the process of determining what has changed in
managed entities since the last time they were synchronized with
the database.
Doctrine provides 3 different change tracking policies, each having
its particular advantages and disadvantages. The change tracking
policy can be defined on a per-class basis (or more precisely,
per-hierarchy).
Deferred Implicit
~~~~~~~~~~~~~~~~~
The deferred implicit policy is the default change tracking policy
and the most convenient one. With this policy, Doctrine detects the
changes by a property-by-property comparison at commit time and
also detects changes to entities or new entities that are
referenced by other managed entities ("persistence by
reachability"). Although the most convenient policy, it can have
negative effects on performance if you are dealing with large units
of work (see "Understanding the Unit of Work"). Since Doctrine
can't know what has changed, it needs to check all managed entities
for changes every time you invoke EntityManager#flush(), making
this operation rather costly.
Deferred Explicit
~~~~~~~~~~~~~~~~~
The deferred explicit policy is similar to the deferred implicit
policy in that it detects changes through a property-by-property
comparison at commit time. The difference is that Doctrine 2 only
considers entities that have been explicitly marked for change detection
through a call to EntityManager#persist(entity) or through a save
cascade. All other entities are skipped. This policy therefore
gives improved performance for larger units of work while
sacrificing the behavior of "automatic dirty checking".
Therefore, flush() operations are potentially cheaper with this
policy. The negative aspect this has is that if you have a rather
large application and you pass your objects through several layers
for processing purposes and business tasks you may need to track
yourself which entities have changed on the way so you can pass
them to EntityManager#persist().
This policy can be configured as follows:
.. code-block:: php
<?php
/**
* @Entity
* @ChangeTrackingPolicy("DEFERRED_EXPLICIT")
*/
class User
{
// ...
}
Notify
~~~~~~
This policy is based on the assumption that the entities notify
interested listeners of changes to their properties. For that
purpose, a class that wants to use this policy needs to implement
the ``NotifyPropertyChanged`` interface from the Doctrine
namespace. As a guideline, such an implementation can look as
follows:
.. code-block:: php
<?php
use Doctrine\Common\NotifyPropertyChanged,
Doctrine\Common\PropertyChangedListener;
/**
* @Entity
* @ChangeTrackingPolicy("NOTIFY")
*/
class MyEntity implements NotifyPropertyChanged
{
// ...
private $_listeners = array();
public function addPropertyChangedListener(PropertyChangedListener $listener)
{
$this->_listeners[] = $listener;
}
}
Then, in each property setter of this class or derived classes, you
need to notify all the ``PropertyChangedListener`` instances. As an
example we add a convenience method on ``MyEntity`` that shows this
behaviour:
.. code-block:: php
<?php
// ...
class MyEntity implements NotifyPropertyChanged
{
// ...
protected function _onPropertyChanged($propName, $oldValue, $newValue)
{
if ($this->_listeners) {
foreach ($this->_listeners as $listener) {
$listener->propertyChanged($this, $propName, $oldValue, $newValue);
}
}
}
public function setData($data)
{
if ($data != $this->data) {
$this->_onPropertyChanged('data', $this->data, $data);
$this->data = $data;
}
}
}
You have to invoke ``_onPropertyChanged`` inside every method that
changes the persistent state of ``MyEntity``.
The check whether the new value is different from the old one is
not mandatory but recommended. That way you also have full control
over when you consider a property changed.
The negative point of this policy is obvious: You need implement an
interface and write some plumbing code. But also note that we tried
hard to keep this notification functionality abstract. Strictly
speaking, it has nothing to do with the persistence layer and the
Doctrine ORM or DBAL. You may find that property notification
events come in handy in many other scenarios as well. As mentioned
earlier, the ``Doctrine\Common`` namespace is not that evil and
consists solely of very small classes and interfaces that have
almost no external dependencies (none to the DBAL and none to the
ORM) and that you can easily take with you should you want to swap
out the persistence layer. This change tracking policy does not
introduce a dependency on the Doctrine DBAL/ORM or the persistence
layer.
The positive point and main advantage of this policy is its
effectiveness. It has the best performance characteristics of the 3
policies with larger units of work and a flush() operation is very
cheap when nothing has changed.

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Configuration
=============
Bootstrapping Doctrine is a relatively simple procedure that
roughly exists of four steps:
- `Installation <reference/installation>`
- Making sure Doctrine class files can be loaded on demand.
- Obtaining an EntityManager instance.
- Optional: Configuration of the Console Tool
Class loading
-------------
Composer
^^^^^^^^
Autoloading is taken care of by Composer. You just have to include the composer autoload file in your project:
.. code-block:: php
<?php
// Include Composer Autoload
require_once "vendor/autoload.php";
Skip the rest of this section unless you are using another installation method.
Lets start with the class loading setup. We need to set up some
class loaders (often called "autoloader") so that Doctrine class
files are loaded on demand. The Doctrine namespace contains a very
fast and minimalistic class loader that can be used for Doctrine
and any other libraries where the coding standards ensure that a
class's location in the directory tree is reflected by its name and
namespace and where there is a common root namespace.
.. note::
You are not forced to use the Doctrine class loader to
load Doctrine classes. Doctrine does not care how the classes are
loaded, if you want to use a different class loader or your own to
load Doctrine classes, just do that. Along the same lines, the
class loader in the Doctrine namespace is not meant to be only used
for Doctrine classes, too. It is a generic class loader that can be
used for any classes that follow some basic naming standards as
described above.
The following example shows the setup of a ``ClassLoader`` for the
different types of Doctrine Installations:
.. note::
This assumes you've created some kind of script to test
the following code in. Something like a ``test.php`` file.
PEAR
^^^^
.. code-block:: php
<?php
// test.php
require 'Doctrine/ORM/Tools/Setup.php';
Doctrine\ORM\Tools\Setup::registerAutoloadPEAR();
Tarball Download
^^^^^^^^^^^^^^^^
.. code-block:: php
<?php
// test.php
require 'Doctrine/ORM/Tools/Setup.php';
$lib = "/path/to/doctrine2-orm/lib";
Doctrine\ORM\Tools\Setup::registerAutoloadDirectory($lib);
Git
^^^
The Git bootstrap assumes that you have fetched the related
packages through ``git submodule update --init``
.. code-block:: php
<?php
// test.php
require 'Doctrine/ORM/Tools/Setup.php';
$lib = '/path/to/doctrine2-orm-root';
Doctrine\ORM\Tools\Setup::registerAutoloadGit($lib);
Additional Symfony Components
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
All three autoloading setups described above also take care of
the autoloading of the Symfony Console and YAML component,
which are optional dependencies for Doctrine 2.
Obtaining an EntityManager
--------------------------
Once you have prepared the class loading, you acquire an
*EntityManager* instance. The EntityManager class is the primary
access point to ORM functionality provided by Doctrine.
Quick Configuration Example
~~~~~~~~~~~~~~~~~~~~~~~~~~~
The above example is a complete setup of the required options for Doctrine.
You can have this step of your code much simpler and use one of the predefined
setup methods:
.. code-block:: php
<?php
use Doctrine\ORM\Tools\Setup;
use Doctrine\ORM\EntityManager;
$paths = array("/path/to/entities-or-mapping-files");
$isDevMode = false;
// the connection configuration
$dbParams = array(
'driver' => 'pdo_mysql',
'user' => 'root',
'password' => '',
'dbname' => 'foo',
);
$config = Setup::createAnnotationMetadataConfiguration($paths, $isDevMode);
$em = EntityManager::create($dbParams, $config);
// or if you prefer yaml or xml
$config = Setup::createXMLMetadataConfiguration($paths, $isDevMode);
$config = Setup::createYAMLMetadataConfiguration($paths, $isDevMode);
These setup commands make several assumptions:
- If `$devMode` is true always use an ``ArrayCache`` and set ``setAutoGenerateProxyClasses(true)``.
- If `$devMode` is false, check for Caches in the order APC, Xcache, Memcache (127.0.0.1:11211), Redis (127.0.0.1:6379) unless `$cache` is passed as fourth argument.
- If `$devMode` is false, set ``setAutoGenerateProxyClasses(false)``
- If third argument `$proxyDir` is not set, use the systems temporary directory.
.. note::
You can learn more about the connection configuration in the
`Doctrine DBAL connection configuration reference <http://docs.doctrine-project.org/projects/doctrine-dbal/en/latest/reference/configuration.html>`_.
Full Configuration Example
~~~~~~~~~~~~~~~~~~~~~~~~~~
The configuration of the EntityManager requires a
``Doctrine\ORM\Configuration`` instance as well as some database
connection parameters. This example shows all the potential
steps of configuration.
.. code-block:: php
<?php
use Doctrine\ORM\EntityManager,
Doctrine\ORM\Configuration;
// ...
if ($applicationMode == "development") {
$cache = new \Doctrine\Common\Cache\ArrayCache;
} else {
$cache = new \Doctrine\Common\Cache\ApcCache;
}
$config = new Configuration;
$config->setMetadataCacheImpl($cache);
$driverImpl = $config->newDefaultAnnotationDriver('/path/to/lib/MyProject/Entities');
$config->setMetadataDriverImpl($driverImpl);
$config->setQueryCacheImpl($cache);
$config->setProxyDir('/path/to/myproject/lib/MyProject/Proxies');
$config->setProxyNamespace('MyProject\Proxies');
if ($applicationMode == "development") {
$config->setAutoGenerateProxyClasses(true);
} else {
$config->setAutoGenerateProxyClasses(false);
}
$connectionOptions = array(
'driver' => 'pdo_sqlite',
'path' => 'database.sqlite'
);
$em = EntityManager::create($connectionOptions, $config);
.. note::
Do not use Doctrine without a metadata and query cache!
Doctrine is optimized for working with caches. The main
parts in Doctrine that are optimized for caching are the metadata
mapping information with the metadata cache and the DQL to SQL
conversions with the query cache. These 2 caches require only an
absolute minimum of memory yet they heavily improve the runtime
performance of Doctrine. The recommended cache driver to use with
Doctrine is `APC <http://www.php.net/apc>`_. APC provides you with
an opcode-cache (which is highly recommended anyway) and a very
fast in-memory cache storage that you can use for the metadata and
query caches as seen in the previous code snippet.
Configuration Options
---------------------
The following sections describe all the configuration options
available on a ``Doctrine\ORM\Configuration`` instance.
Proxy Directory (***REQUIRED***)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code-block:: php
<?php
$config->setProxyDir($dir);
$config->getProxyDir();
Gets or sets the directory where Doctrine generates any proxy
classes. For a detailed explanation on proxy classes and how they
are used in Doctrine, refer to the "Proxy Objects" section further
down.
Proxy Namespace (***REQUIRED***)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code-block:: php
<?php
$config->setProxyNamespace($namespace);
$config->getProxyNamespace();
Gets or sets the namespace to use for generated proxy classes. For
a detailed explanation on proxy classes and how they are used in
Doctrine, refer to the "Proxy Objects" section further down.
Metadata Driver (***REQUIRED***)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code-block:: php
<?php
$config->setMetadataDriverImpl($driver);
$config->getMetadataDriverImpl();
Gets or sets the metadata driver implementation that is used by
Doctrine to acquire the object-relational metadata for your
classes.
There are currently 4 available implementations:
- ``Doctrine\ORM\Mapping\Driver\AnnotationDriver``
- ``Doctrine\ORM\Mapping\Driver\XmlDriver``
- ``Doctrine\ORM\Mapping\Driver\YamlDriver``
- ``Doctrine\ORM\Mapping\Driver\DriverChain``
Throughout the most part of this manual the AnnotationDriver is
used in the examples. For information on the usage of the XmlDriver
or YamlDriver please refer to the dedicated chapters
``XML Mapping`` and ``YAML Mapping``.
The annotation driver can be configured with a factory method on
the ``Doctrine\ORM\Configuration``:
.. code-block:: php
<?php
$driverImpl = $config->newDefaultAnnotationDriver('/path/to/lib/MyProject/Entities');
$config->setMetadataDriverImpl($driverImpl);
The path information to the entities is required for the annotation
driver, because otherwise mass-operations on all entities through
the console could not work correctly. All of metadata drivers
accept either a single directory as a string or an array of
directories. With this feature a single driver can support multiple
directories of Entities.
Metadata Cache (***RECOMMENDED***)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code-block:: php
<?php
$config->setMetadataCacheImpl($cache);
$config->getMetadataCacheImpl();
Gets or sets the cache implementation to use for caching metadata
information, that is, all the information you supply via
annotations, xml or yaml, so that they do not need to be parsed and
loaded from scratch on every single request which is a waste of
resources. The cache implementation must implement the
``Doctrine\Common\Cache\Cache`` interface.
Usage of a metadata cache is highly recommended.
The recommended implementations for production are:
- ``Doctrine\Common\Cache\ApcCache``
- ``Doctrine\Common\Cache\MemcacheCache``
- ``Doctrine\Common\Cache\XcacheCache``
- ``Doctrine\Common\Cache\RedisCache``
For development you should use the
``Doctrine\Common\Cache\ArrayCache`` which only caches data on a
per-request basis.
Query Cache (***RECOMMENDED***)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code-block:: php
<?php
$config->setQueryCacheImpl($cache);
$config->getQueryCacheImpl();
Gets or sets the cache implementation to use for caching DQL
queries, that is, the result of a DQL parsing process that includes
the final SQL as well as meta information about how to process the
SQL result set of a query. Note that the query cache does not
affect query results. You do not get stale data. This is a pure
optimization cache without any negative side-effects (except some
minimal memory usage in your cache).
Usage of a query cache is highly recommended.
The recommended implementations for production are:
- ``Doctrine\Common\Cache\ApcCache``
- ``Doctrine\Common\Cache\MemcacheCache``
- ``Doctrine\Common\Cache\XcacheCache``
- ``Doctrine\Common\Cache\RedisCache``
For development you should use the
``Doctrine\Common\Cache\ArrayCache`` which only caches data on a
per-request basis.
SQL Logger (***Optional***)
~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code-block:: php
<?php
$config->setSQLLogger($logger);
$config->getSQLLogger();
Gets or sets the logger to use for logging all SQL statements
executed by Doctrine. The logger class must implement the
``Doctrine\DBAL\Logging\SQLLogger`` interface. A simple default
implementation that logs to the standard output using ``echo`` and
``var_dump`` can be found at
``Doctrine\DBAL\Logging\EchoSQLLogger``.
Auto-generating Proxy Classes (***OPTIONAL***)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code-block:: php
<?php
$config->setAutoGenerateProxyClasses($bool);
$config->getAutoGenerateProxyClasses();
Gets or sets whether proxy classes should be generated
automatically at runtime by Doctrine. If set to ``FALSE``, proxy
classes must be generated manually through the doctrine command
line task ``generate-proxies``. The strongly recommended value for
a production environment is ``FALSE``.
Development vs Production Configuration
---------------------------------------
You should code your Doctrine2 bootstrapping with two different
runtime models in mind. There are some serious benefits of using
APC or Memcache in production. In development however this will
frequently give you fatal errors, when you change your entities and
the cache still keeps the outdated metadata. That is why we
recommend the ``ArrayCache`` for development.
Furthermore you should have the Auto-generating Proxy Classes
option to true in development and to false in production. If this
option is set to ``TRUE`` it can seriously hurt your script
performance if several proxy classes are re-generated during script
execution. Filesystem calls of that magnitude can even slower than
all the database queries Doctrine issues. Additionally writing a
proxy sets an exclusive file lock which can cause serious
performance bottlenecks in systems with regular concurrent
requests.
Connection Options
------------------
The ``$connectionOptions`` passed as the first argument to
``EntityManager::create()`` has to be either an array or an
instance of ``Doctrine\DBAL\Connection``. If an array is passed it
is directly passed along to the DBAL Factory
``Doctrine\DBAL\DriverManager::getConnection()``. The DBAL
configuration is explained in the
`DBAL section <./../../../../../dbal/2.0/docs/reference/configuration/en>`_.
Proxy Objects
-------------
A proxy object is an object that is put in place or used instead of
the "real" object. A proxy object can add behavior to the object
being proxied without that object being aware of it. In Doctrine 2,
proxy objects are used to realize several features but mainly for
transparent lazy-loading.
Proxy objects with their lazy-loading facilities help to keep the
subset of objects that are already in memory connected to the rest
of the objects. This is an essential property as without it there
would always be fragile partial objects at the outer edges of your
object graph.
Doctrine 2 implements a variant of the proxy pattern where it
generates classes that extend your entity classes and adds
lazy-loading capabilities to them. Doctrine can then give you an
instance of such a proxy class whenever you request an object of
the class being proxied. This happens in two situations:
Reference Proxies
~~~~~~~~~~~~~~~~~
The method ``EntityManager#getReference($entityName, $identifier)``
lets you obtain a reference to an entity for which the identifier
is known, without loading that entity from the database. This is
useful, for example, as a performance enhancement, when you want to
establish an association to an entity for which you have the
identifier. You could simply do this:
.. code-block:: php
<?php
// $em instanceof EntityManager, $cart instanceof MyProject\Model\Cart
// $itemId comes from somewhere, probably a request parameter
$item = $em->getReference('MyProject\Model\Item', $itemId);
$cart->addItem($item);
Here, we added an Item to a Cart without loading the Item from the
database. If you invoke any method on the Item instance, it would
fully initialize its state transparently from the database. Here
$item is actually an instance of the proxy class that was generated
for the Item class but your code does not need to care. In fact it
**should not care**. Proxy objects should be transparent to your
code.
Association proxies
~~~~~~~~~~~~~~~~~~~
The second most important situation where Doctrine uses proxy
objects is when querying for objects. Whenever you query for an
object that has a single-valued association to another object that
is configured LAZY, without joining that association in the same
query, Doctrine puts proxy objects in place where normally the
associated object would be. Just like other proxies it will
transparently initialize itself on first access.
.. note::
Joining an association in a DQL or native query
essentially means eager loading of that association in that query.
This will override the 'fetch' option specified in the mapping for
that association, but only for that query.
Generating Proxy classes
~~~~~~~~~~~~~~~~~~~~~~~~
Proxy classes can either be generated manually through the Doctrine
Console or automatically by Doctrine. The configuration option that
controls this behavior is:
.. code-block:: php
<?php
$config->setAutoGenerateProxyClasses($bool);
$config->getAutoGenerateProxyClasses();
The default value is ``TRUE`` for convenient development. However,
this setting is not optimal for performance and therefore not
recommended for a production environment. To eliminate the overhead
of proxy class generation during runtime, set this configuration
option to ``FALSE``. When you do this in a development environment,
note that you may get class/file not found errors if certain proxy
classes are not available or failing lazy-loads if new methods were
added to the entity class that are not yet in the proxy class. In
such a case, simply use the Doctrine Console to (re)generate the
proxy classes like so:
.. code-block:: php
$ ./doctrine orm:generate-proxies
Autoloading Proxies
-------------------
When you deserialize proxy objects from the session or any other storage
it is necessary to have an autoloading mechanism in place for these classes.
For implementation reasons Proxy class names are not PSR-0 compliant. This
means that you have to register a special autoloader for these classes:
.. code-block:: php
<?php
use Doctrine\ORM\Proxy\Autoloader;
$proxyDir = "/path/to/proxies";
$proxyNamespace = "MyProxies";
Autoloader::register($proxyDir, $proxyNamespace);
If you want to execute additional logic to intercept the proxy file not found
state you can pass a closure as the third argument. It will be called with
the arguments proxydir, namespace and className when the proxy file could not
be found.
Multiple Metadata Sources
-------------------------
When using different components using Doctrine 2 you may end up
with them using two different metadata drivers, for example XML and
YAML. You can use the DriverChain Metadata implementations to
aggregate these drivers based on namespaces:
.. code-block:: php
<?php
use Doctrine\ORM\Mapping\Driver\DriverChain;
$chain = new DriverChain();
$chain->addDriver($xmlDriver, 'Doctrine\Tests\Models\Company');
$chain->addDriver($yamlDriver, 'Doctrine\Tests\ORM\Mapping');
Based on the namespace of the entity the loading of entities is
delegated to the appropriate driver. The chain semantics come from
the fact that the driver loops through all namespaces and matches
the entity class name against the namespace using a
``strpos() === 0`` call. This means you need to order the drivers
correctly if sub-namespaces use different metadata driver
implementations.
Default Repository (***OPTIONAL***)
-----------------------------------
Specifies the FQCN of a subclass of the EntityRepository.
That will be available for all entities without a custom repository class.
.. code-block:: php
<?php
$config->setDefaultRepositoryClassName($fqcn);
$config->getDefaultRepositoryClassName();
The default value is ``Doctrine\ORM\EntityRepository``.
Any repository class must be a subclass of EntityRepository otherwise you got an ORMException
Setting up the Console
----------------------
Doctrine uses the Symfony Console component for generating the command
line interface. You can take a look at the ``bin/doctrine.php``
script and the ``Doctrine\ORM\Tools\Console\ConsoleRunner`` command
for inspiration how to setup the cli.
If you installed Doctrine 2 through Composer, then the Doctrine command is
available to you in the bin-dir, by default at ``vendor/.bin/doctrine``.
If you installed Doctrine 2 through PEAR, the ``doctrine`` command
line tool should already be available to you.
In general the required code looks like this:
.. code-block:: php
<?php
$cli = new Application('Doctrine Command Line Interface', \Doctrine\ORM\Version::VERSION);
$cli->setCatchExceptions(true);
$cli->setHelperSet($helperSet);
Doctrine\ORM\Tools\Console\ConsoleRunner::addCommands($cli);
$cli->run();

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Events
======
Doctrine 2 features a lightweight event system that is part of the
Common package.
The Event System
----------------
The event system is controlled by the ``EventManager``. It is the
central point of Doctrine's event listener system. Listeners are
registered on the manager and events are dispatched through the
manager.
.. code-block:: php
<?php
$evm = new EventManager();
Now we can add some event listeners to the ``$evm``. Let's create a
``EventTest`` class to play around with.
.. code-block:: php
<?php
class EventTest
{
const preFoo = 'preFoo';
const postFoo = 'postFoo';
private $_evm;
public $preFooInvoked = false;
public $postFooInvoked = false;
public function __construct($evm)
{
$evm->addEventListener(array(self::preFoo, self::postFoo), $this);
}
public function preFoo(EventArgs $e)
{
$this->preFooInvoked = true;
}
public function postFoo(EventArgs $e)
{
$this->postFooInvoked = true;
}
}
// Create a new instance
$test = new EventTest($evm);
Events can be dispatched by using the ``dispatchEvent()`` method.
.. code-block:: php
<?php
$evm->dispatchEvent(EventTest::preFoo);
$evm->dispatchEvent(EventTest::postFoo);
You can easily remove a listener with the ``removeEventListener()``
method.
.. code-block:: php
<?php
$evm->removeEventListener(array(self::preFoo, self::postFoo), $this);
The Doctrine 2 event system also has a simple concept of event
subscribers. We can define a simple ``TestEventSubscriber`` class
which implements the ``\Doctrine\Common\EventSubscriber`` interface
and implements a ``getSubscribedEvents()`` method which returns an
array of events it should be subscribed to.
.. code-block:: php
<?php
class TestEventSubscriber implements \Doctrine\Common\EventSubscriber
{
public $preFooInvoked = false;
public function preFoo()
{
$this->preFooInvoked = true;
}
public function getSubscribedEvents()
{
return array(TestEvent::preFoo);
}
}
$eventSubscriber = new TestEventSubscriber();
$evm->addEventSubscriber($eventSubscriber);
Now when you dispatch an event any event subscribers will be
notified for that event.
.. code-block:: php
<?php
$evm->dispatchEvent(TestEvent::preFoo);
Now you can test the ``$eventSubscriber`` instance to see if the
``preFoo()`` method was invoked.
.. code-block:: php
<?php
if ($eventSubscriber->preFooInvoked) {
echo 'pre foo invoked!';
}
Naming convention
~~~~~~~~~~~~~~~~~
Events being used with the Doctrine 2 EventManager are best named
with camelcase and the value of the corresponding constant should
be the name of the constant itself, even with spelling. This has
several reasons:
- It is easy to read.
- Simplicity.
- Each method within an EventSubscriber is named after the
corresponding constant. If constant name and constant value differ,
you MUST use the new value and thus, your code might be subject to
codechanges when the value changes. This contradicts the intention
of a constant.
An example for a correct notation can be found in the example
``EventTest`` above.
Lifecycle Events
----------------
The EntityManager and UnitOfWork trigger a bunch of events during
the life-time of their registered entities.
- preRemove - The preRemove event occurs for a given entity before
the respective EntityManager remove operation for that entity is
executed. It is not called for a DQL DELETE statement.
- postRemove - The postRemove event occurs for an entity after the
entity has been deleted. It will be invoked after the database
delete operations. It is not called for a DQL DELETE statement.
- prePersist - The prePersist event occurs for a given entity
before the respective EntityManager persist operation for that
entity is executed.
- postPersist - The postPersist event occurs for an entity after
the entity has been made persistent. It will be invoked after the
database insert operations. Generated primary key values are
available in the postPersist event.
- preUpdate - The preUpdate event occurs before the database
update operations to entity data. It is not called for a DQL UPDATE statement.
- postUpdate - The postUpdate event occurs after the database
update operations to entity data. It is not called for a DQL UPDATE statement.
- postLoad - The postLoad event occurs for an entity after the
entity has been loaded into the current EntityManager from the
database or after the refresh operation has been applied to it.
- loadClassMetadata - The loadClassMetadata event occurs after the
mapping metadata for a class has been loaded from a mapping source
(annotations/xml/yaml).
- preFlush - The preFlush event occurs at the very beginning of a flush
operation. This event is not a lifecycle callback.
- onFlush - The onFlush event occurs after the change-sets of all
managed entities are computed. This event is not a lifecycle
callback.
- postFlush - The postFlush event occurs at the end of a flush operation. This
event is not a lifecycle callback.
- onClear - The onClear event occurs when the EntityManager#clear() operation is
invoked, after all references to entities have been removed from the unit of
work.
.. warning::
Note that the postLoad event occurs for an entity
before any associations have been initialized. Therefore it is not
safe to access associations in a postLoad callback or event
handler.
You can access the Event constants from the ``Events`` class in the
ORM package.
.. code-block:: php
<?php
use Doctrine\ORM\Events;
echo Events::preUpdate;
These can be hooked into by two different types of event
listeners:
- Lifecycle Callbacks are methods on the entity classes that are
called when the event is triggered. They receive absolutely no
arguments and are specifically designed to allow changes inside the
entity classes state.
- Lifecycle Event Listeners are classes with specific callback
methods that receives some kind of ``EventArgs`` instance which
give access to the entity, EntityManager or other relevant data.
.. note::
All Lifecycle events that happen during the ``flush()`` of
an EntityManager have very specific constraints on the allowed
operations that can be executed. Please read the
:ref:`reference-events-implementing-listeners` section very carefully
to understand which operations are allowed in which lifecycle event.
Lifecycle Callbacks
-------------------
A lifecycle event is a regular event with the additional feature of
providing a mechanism to register direct callbacks inside the
corresponding entity classes that are executed when the lifecycle
event occurs.
.. code-block:: php
<?php
/** @Entity @HasLifecycleCallbacks */
class User
{
// ...
/**
* @Column(type="string", length=255)
*/
public $value;
/** @Column(name="created_at", type="string", length=255) */
private $createdAt;
/** @PrePersist */
public function doStuffOnPrePersist()
{
$this->createdAt = date('Y-m-d H:i:s');
}
/** @PrePersist */
public function doOtherStuffOnPrePersist()
{
$this->value = 'changed from prePersist callback!';
}
/** @PostPersist */
public function doStuffOnPostPersist()
{
$this->value = 'changed from postPersist callback!';
}
/** @PostLoad */
public function doStuffOnPostLoad()
{
$this->value = 'changed from postLoad callback!';
}
/** @PreUpdate */
public function doStuffOnPreUpdate()
{
$this->value = 'changed from preUpdate callback!';
}
}
Note that when using annotations you have to apply the
@HasLifecycleCallbacks marker annotation on the entity class.
If you want to register lifecycle callbacks from YAML or XML you
can do it with the following.
.. code-block:: yaml
User:
type: entity
fields:
# ...
name:
type: string(50)
lifecycleCallbacks:
prePersist: [ doStuffOnPrePersist, doOtherStuffOnPrePersistToo ]
postPersist: [ doStuffOnPostPersist ]
XML would look something like this:
.. code-block:: xml
<?xml version="1.0" encoding="UTF-8"?>
<doctrine-mapping xmlns="http://doctrine-project.org/schemas/orm/doctrine-mapping"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://doctrine-project.org/schemas/orm/doctrine-mapping
/Users/robo/dev/php/Doctrine/doctrine-mapping.xsd">
<entity name="User">
<lifecycle-callbacks>
<lifecycle-callback type="prePersist" method="doStuffOnPrePersist"/>
<lifecycle-callback type="postPersist" method="doStuffOnPostPersist"/>
</lifecycle-callbacks>
</entity>
</doctrine-mapping>
You just need to make sure a public ``doStuffOnPrePersist()`` and
``doStuffOnPostPersist()`` method is defined on your ``User``
model.
.. code-block:: php
<?php
// ...
class User
{
// ...
public function doStuffOnPrePersist()
{
// ...
}
public function doStuffOnPostPersist()
{
// ...
}
}
The ``key`` of the lifecycleCallbacks is the name of the method and
the value is the event type. The allowed event types are the ones
listed in the previous Lifecycle Events section.
Listening to Lifecycle Events
-----------------------------
Lifecycle event listeners are much more powerful than the simple
lifecycle callbacks that are defined on the entity classes. They
allow to implement re-usable behaviors between different entity
classes, yet require much more detailed knowledge about the inner
workings of the EntityManager and UnitOfWork. Please read the
*Implementing Event Listeners* section carefully if you are trying
to write your own listener.
To register an event listener you have to hook it into the
EventManager that is passed to the EntityManager factory:
.. code-block:: php
<?php
$eventManager = new EventManager();
$eventManager->addEventListener(array(Events::preUpdate), new MyEventListener());
$eventManager->addEventSubscriber(new MyEventSubscriber());
$entityManager = EntityManager::create($dbOpts, $config, $eventManager);
You can also retrieve the event manager instance after the
EntityManager was created:
.. code-block:: php
<?php
$entityManager->getEventManager()->addEventListener(array(Events::preUpdate), new MyEventListener());
$entityManager->getEventManager()->addEventSubscriber(new MyEventSubscriber());
.. _reference-events-implementing-listeners:
Implementing Event Listeners
----------------------------
This section explains what is and what is not allowed during
specific lifecycle events of the UnitOfWork. Although you get
passed the EntityManager in all of these events, you have to follow
these restrictions very carefully since operations in the wrong
event may produce lots of different errors, such as inconsistent
data and lost updates/persists/removes.
For the described events that are also lifecycle callback events
the restrictions apply as well, with the additional restriction
that you do not have access to the EntityManager or UnitOfWork APIs
inside these events.
prePersist
~~~~~~~~~~
There are two ways for the ``prePersist`` event to be triggered.
One is obviously when you call ``EntityManager#persist()``. The
event is also called for all cascaded associations.
There is another way for ``prePersist`` to be called, inside the
``flush()`` method when changes to associations are computed and
this association is marked as cascade persist. Any new entity found
during this operation is also persisted and ``prePersist`` called
on it. This is called "persistence by reachability".
In both cases you get passed a ``LifecycleEventArgs`` instance
which has access to the entity and the entity manager.
The following restrictions apply to ``prePersist``:
- If you are using a PrePersist Identity Generator such as
sequences the ID value will *NOT* be available within any
PrePersist events.
- Doctrine will not recognize changes made to relations in a pre
persist event called by "reachability" through a cascade persist
unless you use the internal ``UnitOfWork`` API. We do not recommend
such operations in the persistence by reachability context, so do
this at your own risk and possibly supported by unit-tests.
preRemove
~~~~~~~~~
The ``preRemove`` event is called on every entity when its passed
to the ``EntityManager#remove()`` method. It is cascaded for all
associations that are marked as cascade delete.
There are no restrictions to what methods can be called inside the
``preRemove`` event, except when the remove method itself was
called during a flush operation.
preFlush
~~~~~~~~
``preFlush`` is called at ``EntityManager#flush()`` before
anything else. ``EntityManager#flush()`` can be called safely
inside its listeners.
.. code-block:: php
<?php
use Doctrine\ORM\Event\PreFlushEventArgs;
class PreFlushExampleListener
{
public function preFlush(PreFlushEventArgs $args)
{
// ...
}
}
onFlush
~~~~~~~
OnFlush is a very powerful event. It is called inside
``EntityManager#flush()`` after the changes to all the managed
entities and their associations have been computed. This means, the
``onFlush`` event has access to the sets of:
- Entities scheduled for insert
- Entities scheduled for update
- Entities scheduled for removal
- Collections scheduled for update
- Collections scheduled for removal
To make use of the onFlush event you have to be familiar with the
internal UnitOfWork API, which grants you access to the previously
mentioned sets. See this example:
.. code-block:: php
<?php
class FlushExampleListener
{
public function onFlush(OnFlushEventArgs $eventArgs)
{
$em = $eventArgs->getEntityManager();
$uow = $em->getUnitOfWork();
foreach ($uow->getScheduledEntityInsertions() AS $entity) {
}
foreach ($uow->getScheduledEntityUpdates() AS $entity) {
}
foreach ($uow->getScheduledEntityDeletions() AS $entity) {
}
foreach ($uow->getScheduledCollectionDeletions() AS $col) {
}
foreach ($uow->getScheduledCollectionUpdates() AS $col) {
}
}
}
The following restrictions apply to the onFlush event:
- If you create and persist a new entity in "onFlush", then
calling ``EntityManager#persist()`` is not enough.
You have to execute an additional call to
``$unitOfWork->computeChangeSet($classMetadata, $entity)``.
- Changing primitive fields or associations requires you to
explicitly trigger a re-computation of the changeset of the
affected entity. This can be done by either calling
``$unitOfWork->recomputeSingleEntityChangeSet($classMetadata, $entity)``.
postFlush
~~~~~~~~~
``postFlush`` is called at the end of ``EntityManager#flush()``. ``EntityManager#flush()`` can be
called safely inside its listeners.
.. code-block:: php
<?php
use Doctrine\ORM\Event\PostFlushEventArgs;
class PostFlushExampleListener
{
public function postFlush(PostFlushEventArgs $args)
{
// ...
}
}
preUpdate
~~~~~~~~~
PreUpdate is the most restrictive to use event, since it is called
right before an update statement is called for an entity inside the
``EntityManager#flush()`` method.
Changes to associations of the updated entity are never allowed in
this event, since Doctrine cannot guarantee to correctly handle
referential integrity at this point of the flush operation. This
event has a powerful feature however, it is executed with a
``PreUpdateEventArgs`` instance, which contains a reference to the
computed change-set of this entity.
This means you have access to all the fields that have changed for
this entity with their old and new value. The following methods are
available on the ``PreUpdateEventArgs``:
- ``getEntity()`` to get access to the actual entity.
- ``getEntityChangeSet()`` to get a copy of the changeset array.
Changes to this returned array do not affect updating.
- ``hasChangedField($fieldName)`` to check if the given field name
of the current entity changed.
- ``getOldValue($fieldName)`` and ``getNewValue($fieldName)`` to
access the values of a field.
- ``setNewValue($fieldName, $value)`` to change the value of a
field to be updated.
A simple example for this event looks like:
.. code-block:: php
<?php
class NeverAliceOnlyBobListener
{
public function preUpdate(PreUpdateEventArgs $eventArgs)
{
if ($eventArgs->getEntity() instanceof User) {
if ($eventArgs->hasChangedField('name') && $eventArgs->getNewValue('name') == 'Alice') {
$eventArgs->setNewValue('name', 'Bob');
}
}
}
}
You could also use this listener to implement validation of all the
fields that have changed. This is more efficient than using a
lifecycle callback when there are expensive validations to call:
.. code-block:: php
<?php
class ValidCreditCardListener
{
public function preUpdate(PreUpdateEventArgs $eventArgs)
{
if ($eventArgs->getEntity() instanceof Account) {
if ($eventArgs->hasChangedField('creditCard')) {
$this->validateCreditCard($eventArgs->getNewValue('creditCard'));
}
}
}
private function validateCreditCard($no)
{
// throw an exception to interrupt flush event. Transaction will be rolled back.
}
}
Restrictions for this event:
- Changes to associations of the passed entities are not
recognized by the flush operation anymore.
- Changes to fields of the passed entities are not recognized by
the flush operation anymore, use the computed change-set passed to
the event to modify primitive field values.
- Any calls to ``EntityManager#persist()`` or
``EntityManager#remove()``, even in combination with the UnitOfWork
API are strongly discouraged and don't work as expected outside the
flush operation.
postUpdate, postRemove, postPersist
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The three post events are called inside ``EntityManager#flush()``.
Changes in here are not relevant to the persistence in the
database, but you can use these events to alter non-persistable items,
like non-mapped fields, logging or even associated classes that are
directly mapped by Doctrine.
postLoad
~~~~~~~~
This event is called after an entity is constructed by the
EntityManager.
Load ClassMetadata Event
------------------------
When the mapping information for an entity is read, it is populated
in to a ``ClassMetadataInfo`` instance. You can hook in to this
process and manipulate the instance.
.. code-block:: php
<?php
$test = new EventTest();
$metadataFactory = $em->getMetadataFactory();
$evm = $em->getEventManager();
$evm->addEventListener(Events::loadClassMetadata, $test);
class EventTest
{
public function loadClassMetadata(\Doctrine\ORM\Event\LoadClassMetadataEventArgs $eventArgs)
{
$classMetadata = $eventArgs->getClassMetadata();
$fieldMapping = array(
'fieldName' => 'about',
'type' => 'string',
'length' => 255
);
$classMetadata->mapField($fieldMapping);
}
}

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Frequently Asked Questions
==========================
.. note::
This FAQ is a work in progress. We will add lots of questions and not answer them right away just to remember
what is often asked. If you stumble across an unanswered question please write a mail to the mailing-list or
join the #doctrine channel on Freenode IRC.
Database Schema
---------------
How do I set the charset and collation for MySQL tables?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
You can't set these values inside the annotations, yml or xml mapping files. To make a database
work with the default charset and collation you should configure MySQL to use it as default charset,
or create the database with charset and collation details. This way they get inherited to all newly
created database tables and columns.
Entity Classes
--------------
I access a variable and its null, what is wrong?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
If this variable is a public variable then you are violating one of the criteria for entities.
All properties have to be protected or private for the proxy object pattern to work.
How can I add default values to a column?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Doctrine does not support to set the default values in columns through the "DEFAULT" keyword in SQL.
This is not necessary however, you can just use your class properties as default values. These are then used
upon insert:
.. code-block:: php
class User
{
const STATUS_DISABLED = 0;
const STATUS_ENABLED = 1;
private $algorithm = "sha1";
private $status = self:STATUS_DISABLED;
}
.
Mapping
-------
Why do I get exceptions about unique constraint failures during ``$em->flush()``?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Doctrine does not check if you are re-adding entities with a primary key that already exists
or adding entities to a collection twice. You have to check for both conditions yourself
in the code before calling ``$em->flush()`` if you know that unique constraint failures
can occur.
In `Symfony2 <http://www.symfony.com>`_ for example there is a Unique Entity Validator
to achieve this task.
For collections you can check with ``$collection->contains($entity)`` if an entity is already
part of this collection. For a FETCH=LAZY collection this will initialize the collection,
however for FETCH=EXTRA_LAZY this method will use SQL to determine if this entity is already
part of the collection.
Associations
------------
What is wrong when I get an InvalidArgumentException "A new entity was found through the relationship.."?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
This exception is thrown during ``EntityManager#flush()`` when there exists an object in the identity map
that contains a reference to an object that Doctrine does not know about. Say for example you grab
a "User"-entity from the database with a specific id and set a completely new object into one of the associations
of the User object. If you then call ``EntityManager#flush()`` without letting Doctrine know about
this new object using ``EntityManager#persist($newObject)`` you will see this exception.
You can solve this exception by:
* Calling ``EntityManager#persist($newObject)`` on the new object
* Using cascade=persist on the association that contains the new object
How can I filter an association?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Natively you can't filter associations in 2.0 and 2.1. You should use DQL queries to query for the filtered set of entities.
I call clear() on a One-To-Many collection but the entities are not deleted
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
This is an expected behavior that has to do with the inverse/owning side handling of Doctrine.
By definition a One-To-Many association is on the inverse side, that means changes to it
will not be recognized by Doctrine.
If you want to perform the equivalent of the clear operation you have to iterate the
collection and set the owning side many-to-one reference to NULL as well to detach all entities
from the collection. This will trigger the appropriate UPDATE statements on the database.
How can I add columns to a many-to-many table?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The many-to-many association is only supporting foreign keys in the table definition
To work with many-to-many tables containing extra columns you have to use the
foreign keys as primary keys feature of Doctrine introduced in version 2.1.
See :doc:`the tutorial on composite primary keys for more information<../tutorials/composite-primary-keys>`.
How can i paginate fetch-joined collections?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
If you are issuing a DQL statement that fetches a collection as well you cannot easily iterate
over this collection using a LIMIT statement (or vendor equivalent).
Doctrine does not offer a solution for this out of the box but there are several extensions
that do:
* `DoctrineExtensions <http://github.com/beberlei/DoctrineExtensions>`_
* `Pagerfanta <http://github.com/whiteoctober/pagerfanta>`_
Why does pagination not work correctly with fetch joins?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Pagination in Doctrine uses a LIMIT clause (or vendor equivalent) to restrict the results.
However when fetch-joining this is not returning the correct number of results since joining
with a one-to-many or many-to-many association multiplies the number of rows by the number
of associated entities.
See the previous question for a solution to this task.
Inheritance
-----------
Can I use Inheritance with Doctrine 2?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Yes, you can use Single- or Joined-Table Inheritance in Doctrine 2.
See the documentation chapter on :doc:`inheritance mapping <inheritance-mapping>` for
the details.
Why does Doctrine not create proxy objects for my inheritance hierarchy?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
If you set a many-to-one or one-to-one association target-entity to any parent class of
an inheritance hierarchy Doctrine does not know what PHP class the foreign is actually of.
To find this out it has to execute an SQL query to look this information up in the database.
EntityGenerator
---------------
Why does the EntityGenerator not do X?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The EntityGenerator is not a full fledged code-generator that solves all tasks. Code-Generation
is not a first-class priority in Doctrine 2 anymore (compared to Doctrine 1). The EntityGenerator
is supposed to kick-start you, but not towards 100%.
Why does the EntityGenerator not generate inheritance correctly?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Just from the details of the discriminator map the EntityGenerator cannot guess the inheritance hierachy.
This is why the generation of inherited entities does not fully work. You have to adjust some additional
code to get this one working correctly.
Performance
-----------
Why is an extra SQL query executed every time I fetch an entity with a one-to-one relation?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
If Doctrine detects that you are fetching an inverse side one-to-one association
it has to execute an additional query to load this object, because it cannot know
if there is no such object (setting null) or if it should set a proxy and which id this proxy has.
To solve this problem currently a query has to be executed to find out this information.
Doctrine Query Language
-----------------------
What is DQL?
~~~~~~~~~~~~
DQL stands for Doctrine Query Language, a query language that very much looks like SQL
but has some important benefits when using Doctrine:
- It uses class names and fields instead of tables and columns, separating concerns between backend and your object model.
- It utilizes the metadata defined to offer a range of shortcuts when writing. For example you do not have to specify the ON clause of joins, since Doctrine already knows about them.
- It adds some functionality that is related to object management and transforms them into SQL.
It also has some drawbacks of course:
- The syntax is slightly different to SQL so you have to learn and remember the differences.
- To be vendor independent it can only implement a subset of all the existing SQL dialects. Vendor specific functionality and optimizations cannot be used through DQL unless implemented by you explicitly.
- For some DQL constructs subselects are used which are known to be slow in MySQL.
Can I sort by a function (for example ORDER BY RAND()) in DQL?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
No, it is not supported to sort by function in DQL. If you need this functionality you should either
use a native-query or come up with another solution. As a side note: Sorting with ORDER BY RAND() is painfully slow
starting with 1000 rows.
A Query fails, how can I debug it?
----------------------------------
First, if you are using the QueryBuilder you can use
``$queryBuilder->getDQL()`` to get the DQL string of this query. The
corresponding SQL you can get from the Query instance by calling
``$query->getSQL()``.
.. code-block:: php
<?php
$dql = "SELECT u FROM User u";
$query = $entityManager->createQuery($dql);
var_dump($query->getSQL());
$qb = $entityManager->createQueryBuilder();
$qb->select('u')->from('User', 'u');
var_dump($qb->getDQL());

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Filters
=======
Doctrine 2.2 features a filter system that allows the developer to add SQL to
the conditional clauses of queries, regardless the place where the SQL is
generated (e.g. from a DQL query, or by loading associated entities).
The filter functionality works on SQL level. Whether an SQL query is generated
in a Persister, during lazy loading, in extra lazy collections or from DQL.
Each time the system iterates over all the enabled filters, adding a new SQL
part as a filter returns.
By adding SQL to the conditional clauses of queries, the filter system filters
out rows belonging to the entities at the level of the SQL result set. This
means that the filtered entities are never hydrated (which can be expensive).
Example filter class
--------------------
Throughout this document the example ``MyLocaleFilter`` class will be used to
illustrate how the filter feature works. A filter class must extend the base
``Doctrine\ORM\Query\Filter\SQLFilter`` class and implement the ``addFilterConstraint``
method. The method receives the ``ClassMetadata`` of the filtered entity and the
table alias of the SQL table of the entity.
.. note::
In the case of joined or single table inheritance, you always get passed the ClassMetadata of the
inheritance root. This is necessary to avoid edge cases that would break the SQL when applying the filters.
Parameters for the query should be set on the filter object by
``SQLFilter#setParameter()``. Only parameters set via this function can be used
in filters. The ``SQLFilter#getParameter()`` function takes care of the
proper quoting of parameters.
.. code-block:: php
<?php
namespace Example;
use Doctrine\ORM\Mapping\ClassMetaData,
Doctrine\ORM\Query\Filter\SQLFilter;
class MyLocaleFilter extends SQLFilter
{
public function addFilterConstraint(ClassMetadata $targetEntity, $targetTableAlias)
{
// Check if the entity implements the LocalAware interface
if (!$targetEntity->reflClass->implementsInterface('LocaleAware')) {
return "";
}
return $targetTableAlias.'.locale = ' . $this->getParameter('locale'); // getParameter applies quoting automatically
}
}
Configuration
-------------
Filter classes are added to the configuration as following:
.. code-block:: php
<?php
$config->addFilter("locale", "\Doctrine\Tests\ORM\Functional\MyLocaleFilter");
The ``Configuration#addFilter()`` method takes a name for the filter and the name of the
class responsible for the actual filtering.
Disabling/Enabling Filters and Setting Parameters
---------------------------------------------------
Filters can be disabled and enabled via the ``FilterCollection`` which is
stored in the ``EntityManager``. The ``FilterCollection#enable($name)`` method
will retrieve the filter object. You can set the filter parameters on that
object.
.. code-block:: php
<?php
$filter = $em->getFilters()->enable("locale");
$filter->setParameter('locale', 'en');
// Disable it
$filter = $em->getFilters()->disable("locale");
.. warning::
Disabling and enabling filters has no effect on managed entities. If you
want to refresh or reload an object after having modified a filter or the
FilterCollection, then you should clear the EntityManager and re-fetch your
entities, having the new rules for filtering applied.

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Improving Performance
=====================
Bytecode Cache
--------------
It is highly recommended to make use of a bytecode cache like APC.
A bytecode cache removes the need for parsing PHP code on every
request and can greatly improve performance.
"If you care about performance and don't use a bytecode
cache then you don't really care about performance. Please get one
and start using it."
*Stas Malyshev, Core Contributor to PHP and Zend Employee*
Metadata and Query caches
-------------------------
As already mentioned earlier in the chapter about configuring
Doctrine, it is strongly discouraged to use Doctrine without a
Metadata and Query cache (preferably with APC or Memcache as the
cache driver). Operating Doctrine without these caches means
Doctrine will need to load your mapping information on every single
request and has to parse each DQL query on every single request.
This is a waste of resources.
Alternative Query Result Formats
--------------------------------
Make effective use of the available alternative query result
formats like nested array graphs or pure scalar results, especially
in scenarios where data is loaded for read-only purposes.
Read-Only Entities
------------------
Starting with Doctrine 2.1 you can mark entities as read only (See metadata mapping
references for details). This means that the entity marked as read only is never considered
for updates, which means when you call flush on the EntityManager these entities are skipped
even if properties changed. Read-Only allows to persist new entities of a kind and remove existing
ones, they are just not considered for updates.
Extra-Lazy Collections
----------------------
If entities hold references to large collections you will get performance and memory problems initializing them.
To solve this issue you can use the EXTRA_LAZY fetch-mode feature for collections. See the :doc:`tutorial <../tutorials/extra-lazy-associations>`
for more information on how this fetch mode works.
Temporarily change fetch mode in DQL
------------------------------------
See :ref:`Doctrine Query Language chapter <dql-temporarily-change-fetch-mode>`
Apply Best Practices
--------------------
A lot of the points mentioned in the Best Practices chapter will
also positively affect the performance of Doctrine.

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Inheritance Mapping
===================
Mapped Superclasses
-------------------
A mapped superclass is an abstract or concrete class that provides
persistent entity state and mapping information for its subclasses,
but which is not itself an entity. Typically, the purpose of such a
mapped superclass is to define state and mapping information that
is common to multiple entity classes.
Mapped superclasses, just as regular, non-mapped classes, can
appear in the middle of an otherwise mapped inheritance hierarchy
(through Single Table Inheritance or Class Table Inheritance).
.. note::
A mapped superclass cannot be an entity, it is not query-able and
persistent relationships defined by a mapped superclass must be
unidirectional (with an owning side only). This means that One-To-Many
associations are not possible on a mapped superclass at all.
Furthermore Many-To-Many associations are only possible if the
mapped superclass is only used in exactly one entity at the moment.
For further support of inheritance, the single or
joined table inheritance features have to be used.
Example:
.. code-block:: php
<?php
/** @MappedSuperclass */
class MappedSuperclassBase
{
/** @Column(type="integer") */
protected $mapped1;
/** @Column(type="string") */
protected $mapped2;
/**
* @OneToOne(targetEntity="MappedSuperclassRelated1")
* @JoinColumn(name="related1_id", referencedColumnName="id")
*/
protected $mappedRelated1;
// ... more fields and methods
}
/** @Entity */
class EntitySubClass extends MappedSuperclassBase
{
/** @Id @Column(type="integer") */
private $id;
/** @Column(type="string") */
private $name;
// ... more fields and methods
}
The DDL for the corresponding database schema would look something
like this (this is for SQLite):
.. code-block:: sql
CREATE TABLE EntitySubClass (mapped1 INTEGER NOT NULL, mapped2 TEXT NOT NULL, id INTEGER NOT NULL, name TEXT NOT NULL, related1_id INTEGER DEFAULT NULL, PRIMARY KEY(id))
As you can see from this DDL snippet, there is only a single table
for the entity subclass. All the mappings from the mapped
superclass were inherited to the subclass as if they had been
defined on that class directly.
Single Table Inheritance
------------------------
`Single Table Inheritance <http://martinfowler.com/eaaCatalog/singleTableInheritance.html>`_
is an inheritance mapping strategy where all classes of a hierarchy
are mapped to a single database table. In order to distinguish
which row represents which type in the hierarchy a so-called
discriminator column is used.
Example:
.. code-block:: php
<?php
namespace MyProject\Model;
/**
* @Entity
* @InheritanceType("SINGLE_TABLE")
* @DiscriminatorColumn(name="discr", type="string")
* @DiscriminatorMap({"person" = "Person", "employee" = "Employee"})
*/
class Person
{
// ...
}
/**
* @Entity
*/
class Employee extends Person
{
// ...
}
Things to note:
- The @InheritanceType, @DiscriminatorColumn and @DiscriminatorMap
must be specified on the topmost class that is part of the mapped
entity hierarchy.
- The @DiscriminatorMap specifies which values of the
discriminator column identify a row as being of a certain type. In
the case above a value of "person" identifies a row as being of
type ``Person`` and "employee" identifies a row as being of type
``Employee``.
- The names of the classes in the discriminator map do not need to
be fully qualified if the classes are contained in the same
namespace as the entity class on which the discriminator map is
applied.
Design-time considerations
~~~~~~~~~~~~~~~~~~~~~~~~~~
This mapping approach works well when the type hierarchy is fairly
simple and stable. Adding a new type to the hierarchy and adding
fields to existing supertypes simply involves adding new columns to
the table, though in large deployments this may have an adverse
impact on the index and column layout inside the database.
Performance impact
~~~~~~~~~~~~~~~~~~
This strategy is very efficient for querying across all types in
the hierarchy or for specific types. No table joins are required,
only a WHERE clause listing the type identifiers. In particular,
relationships involving types that employ this mapping strategy are
very performant.
There is a general performance consideration with Single Table
Inheritance: If the target-entity of a many-to-one or one-to-one
association is an STI entity, it is preferable for performance reasons that it
be a leaf entity in the inheritance hierarchy, (ie. have no subclasses).
Otherwise Doctrine *CANNOT* create proxy instances
of this entity and will *ALWAYS* load the entity eagerly.
SQL Schema considerations
~~~~~~~~~~~~~~~~~~~~~~~~~
For Single-Table-Inheritance to work in scenarios where you are
using either a legacy database schema or a self-written database
schema you have to make sure that all columns that are not in the
root entity but in any of the different sub-entities has to allows
null values. Columns that have NOT NULL constraints have to be on
the root entity of the single-table inheritance hierarchy.
Class Table Inheritance
-----------------------
`Class Table Inheritance <http://martinfowler.com/eaaCatalog/classTableInheritance.html>`_
is an inheritance mapping strategy where each class in a hierarchy
is mapped to several tables: its own table and the tables of all
parent classes. The table of a child class is linked to the table
of a parent class through a foreign key constraint. Doctrine 2
implements this strategy through the use of a discriminator column
in the topmost table of the hierarchy because this is the easiest
way to achieve polymorphic queries with Class Table Inheritance.
Example:
.. code-block:: php
<?php
namespace MyProject\Model;
/**
* @Entity
* @InheritanceType("JOINED")
* @DiscriminatorColumn(name="discr", type="string")
* @DiscriminatorMap({"person" = "Person", "employee" = "Employee"})
*/
class Person
{
// ...
}
/** @Entity */
class Employee extends Person
{
// ...
}
Things to note:
- The @InheritanceType, @DiscriminatorColumn and @DiscriminatorMap
must be specified on the topmost class that is part of the mapped
entity hierarchy.
- The @DiscriminatorMap specifies which values of the
discriminator column identify a row as being of which type. In the
case above a value of "person" identifies a row as being of type
``Person`` and "employee" identifies a row as being of type
``Employee``.
- The names of the classes in the discriminator map do not need to
be fully qualified if the classes are contained in the same
namespace as the entity class on which the discriminator map is
applied.
.. note::
When you do not use the SchemaTool to generate the
required SQL you should know that deleting a class table
inheritance makes use of the foreign key property
``ON DELETE CASCADE`` in all database implementations. A failure to
implement this yourself will lead to dead rows in the database.
Design-time considerations
~~~~~~~~~~~~~~~~~~~~~~~~~~
Introducing a new type to the hierarchy, at any level, simply
involves interjecting a new table into the schema. Subtypes of that
type will automatically join with that new type at runtime.
Similarly, modifying any entity type in the hierarchy by adding,
modifying or removing fields affects only the immediate table
mapped to that type. This mapping strategy provides the greatest
flexibility at design time, since changes to any type are always
limited to that type's dedicated table.
Performance impact
~~~~~~~~~~~~~~~~~~
This strategy inherently requires multiple JOIN operations to
perform just about any query which can have a negative impact on
performance, especially with large tables and/or large hierarchies.
When partial objects are allowed, either globally or on the
specific query, then querying for any type will not cause the
tables of subtypes to be OUTER JOINed which can increase
performance but the resulting partial objects will not fully load
themselves on access of any subtype fields, so accessing fields of
subtypes after such a query is not safe.
There is a general performance consideration with Class Table
Inheritance: If the target-entity of a many-to-one or one-to-one
association is a CTI entity, it is preferable for performance reasons that it
be a leaf entity in the inheritance hierarchy, (ie. have no subclasses).
Otherwise Doctrine *CANNOT* create proxy instances
of this entity and will *ALWAYS* load the entity eagerly.
SQL Schema considerations
~~~~~~~~~~~~~~~~~~~~~~~~~
For each entity in the Class-Table Inheritance hierarchy all the
mapped fields have to be columns on the table of this entity.
Additionally each child table has to have an id column that matches
the id column definition on the root table (except for any sequence
or auto-increment details). Furthermore each child table has to
have a foreign key pointing from the id column to the root table id
column and cascading on delete.
Overrides
---------
Used to override a mapping for an entity field or relationship.
May be applied to an entity that extends a mapped superclass
to override a relationship or field mapping defined by the mapped superclass.
Association Override
~~~~~~~~~~~~~~~~~~~~
Override a mapping for an entity relationship.
Could be used by an entity that extends a mapped superclass
to override a relationship mapping defined by the mapped superclass.
Example:
.. configuration-block::
.. code-block:: php
<?php
// user mapping
namespace MyProject\Model;
/**
* @MappedSuperclass
*/
class User
{
//other fields mapping
/**
* @ManyToMany(targetEntity="Group", inversedBy="users")
* @JoinTable(name="users_groups",
* joinColumns={@JoinColumn(name="user_id", referencedColumnName="id")},
* inverseJoinColumns={@JoinColumn(name="group_id", referencedColumnName="id")}
* )
*/
protected $groups;
/**
* @ManyToOne(targetEntity="Address")
* @JoinColumn(name="address_id", referencedColumnName="id")
*/
protected $address;
}
// admin mapping
namespace MyProject\Model;
/**
* @Entity
* @AssociationOverrides({
* @AssociationOverride(name="groups",
* joinTable=@JoinTable(
* name="users_admingroups",
* joinColumns=@JoinColumn(name="adminuser_id"),
* inverseJoinColumns=@JoinColumn(name="admingroup_id")
* )
* ),
* @AssociationOverride(name="address",
* joinColumns=@JoinColumn(
* name="adminaddress_id", referencedColumnName="id"
* )
* )
* })
*/
class Admin extends User
{
}
.. code-block:: xml
<!-- user mapping -->
<doctrine-mapping>
<mapped-superclass name="MyProject\Model\User">
<!-- other fields mapping -->
<many-to-many field="groups" target-entity="Group" inversed-by="users">
<cascade>
<cascade-persist/>
<cascade-merge/>
<cascade-detach/>
</cascade>
<join-table name="users_groups">
<join-columns>
<join-column name="user_id" referenced-column-name="id" />
</join-columns>
<inverse-join-columns>
<join-column name="group_id" referenced-column-name="id" />
</inverse-join-columns>
</join-table>
</many-to-many>
</mapped-superclass>
</doctrine-mapping>
<!-- admin mapping -->
<doctrine-mapping>
<entity name="MyProject\Model\Admin">
<association-overrides>
<association-override name="groups">
<join-table name="users_admingroups">
<join-columns>
<join-column name="adminuser_id"/>
</join-columns>
<inverse-join-columns>
<join-column name="admingroup_id"/>
</inverse-join-columns>
</join-table>
</association-override>
<association-override name="address">
<join-columns>
<join-column name="adminaddress_id" referenced-column-name="id"/>
</join-columns>
</association-override>
</association-overrides>
</entity>
</doctrine-mapping>
.. code-block:: yaml
# user mapping
MyProject\Model\User:
type: mappedSuperclass
# other fields mapping
manyToOne:
address:
targetEntity: Address
joinColumn:
name: address_id
referencedColumnName: id
cascade: [ persist, merge ]
manyToMany:
groups:
targetEntity: Group
joinTable:
name: users_groups
joinColumns:
user_id:
referencedColumnName: id
inverseJoinColumns:
group_id:
referencedColumnName: id
cascade: [ persist, merge, detach ]
# admin mapping
MyProject\Model\Admin:
type: entity
associationOverride:
address:
joinColumn:
adminaddress_id:
name: adminaddress_id
referencedColumnName: id
groups:
joinTable:
name: users_admingroups
joinColumns:
adminuser_id:
referencedColumnName: id
inverseJoinColumns:
admingroup_id:
referencedColumnName: id
Things to note:
- The "association override" specifies the overrides base on the property name.
- This feature is available for all kind of associations. (OneToOne, OneToMany, ManyToOne, ManyToMany)
- The association type *CANNOT* be changed.
- The override could redefine the joinTables or joinColumns depending on the association type.
Attribute Override
~~~~~~~~~~~~~~~~~~~~
Override the mapping of a field.
Could be used by an entity that extends a mapped superclass to override a field mapping defined by the mapped superclass.
.. configuration-block::
.. code-block:: php
<?php
// user mapping
namespace MyProject\Model;
/**
* @MappedSuperclass
*/
class User
{
/** @Id @GeneratedValue @Column(type="integer", name="user_id", length=150) */
protected $id;
/** @Column(name="user_name", nullable=true, unique=false, length=250) */
protected $name;
// other fields mapping
}
// guest mapping
namespace MyProject\Model;
/**
* @Entity
* @AttributeOverrides({
* @AttributeOverride(name="id",
* column=@Column(
* name = "guest_id",
* type = "integer",
length = 140
* )
* ),
* @AttributeOverride(name="name",
* column=@Column(
* name = "guest_name",
* nullable = false,
* unique = true,
length = 240
* )
* )
* })
*/
class Guest extends User
{
}
.. code-block:: xml
<!-- user mapping -->
<doctrine-mapping>
<mapped-superclass name="MyProject\Model\User">
<id name="id" type="integer" column="user_id" length="150">
<generator strategy="AUTO"/>
</id>
<field name="name" column="user_name" type="string" length="250" nullable="true" unique="false" />
<many-to-one field="address" target-entity="Address">
<cascade>
<cascade-persist/>
<cascade-merge/>
</cascade>
<join-column name="address_id" referenced-column-name="id"/>
</many-to-one>
<!-- other fields mapping -->
</mapped-superclass>
</doctrine-mapping>
<!-- admin mapping -->
<doctrine-mapping>
<entity name="MyProject\Model\Guest">
<attribute-overrides>
<attribute-override name="id">
<field column="guest_id" length="140"/>
</attribute-override>
<attribute-override name="name">
<field column="guest_name" type="string" length="240" nullable="false" unique="true" />
</attribute-override>
</attribute-overrides>
</entity>
</doctrine-mapping>
.. code-block:: yaml
# user mapping
MyProject\Model\User:
type: mappedSuperclass
id:
id:
type: integer
column: user_id
length: 150
generator:
strategy: AUTO
fields:
name:
type: string
column: user_name
length: 250
nullable: true
unique: false
#other fields mapping
# guest mapping
MyProject\Model\Guest:
type: entity
attributeOverride:
id:
column: guest_id
type: integer
length: 140
name:
column: guest_name
type: string
length: 240
nullable: false
unique: true
Things to note:
- The "attribute override" specifies the overrides base on the property name.
- The column type *CANNOT* be changed. if the column type is not equals you got a ``MappingException``
- The override can redefine all the column except the type.

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Installation
============
Doctrine can be installed many different ways. We will describe all the different ways and you can choose which one suits you best.
Composer
--------
`Composer <http://www.getcomposer.org>`_ is the suggested installation method for Doctrine.
Define the following requirement in your ``composer.json`` file:
::
{
"require": {
"doctrine/orm": "*"
}
}
Then run the composer command and you are done. Continue with the
:doc:`Configuration <configuration>`.
PEAR
----
You can easily install any of the three Doctrine packages from the
PEAR command line installation utility.
To install just the ``Common`` package you can run the following
command:
.. code-block:: bash
$ sudo pear install pear.doctrine-project.org/DoctrineCommon-<version>
If you want to use the Doctrine Database Abstraction Layer you can
install it with the following command.
.. code-block:: bash
$ sudo pear install pear.doctrine-project.org/DoctrineDBAL-<version>
Or, if you want to get the works and go for the ORM you can install
it with the following command.
.. code-block:: bash
$ sudo pear install pear.doctrine-project.org/DoctrineORM-<version>
.. note::
The ``<version>`` tag above represents the version you
want to install. For example if the current version at the time of
writing this is ``2.2.2`` for the ORM, so you could install it
like the following:
.. code-block:: bash
$ sudo pear install pear.doctrine-project.org/DoctrineORM-2.2.2
GitHub
------
Alternatively you can clone the latest version of Doctrine 2 via
GitHub.com:
.. code-block:: php
$ git clone git://github.com/doctrine/doctrine2.git doctrine
This downloads all the sources of the ORM package. You need to
initialize the Github submodules for the Common and DBAL package
dependencies:
.. code-block:: php
$ git submodule init
$ git submodule update
This updates your Git checkout to use the Doctrine and Doctrine
package versions that are recommended for the cloned Master version
of Doctrine 2.
See the configuration chapter on how to configure a Github
installation of Doctrine with regards to autoloading.
.. note::
You should not combine the Doctrine-Common, Doctrine-DBAL and
Doctrine-ORM master commits with each other in combination. The ORM
may not work with the current Common or DBAL master versions.
Instead the ORM ships with the Git Submodules that are required.

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Limitations and Known Issues
============================
We try to make using Doctrine2 a very pleasant experience.
Therefore we think it is very important to be honest about the
current limitations to our users. Much like every other piece of
software Doctrine2 is not perfect and far from feature complete.
This section should give you an overview of current limitations of
Doctrine 2 as well as critical known issues that you should know
about.
Current Limitations
-------------------
There is a set of limitations that exist currently which might be
solved in the future. Any of this limitations now stated has at
least one ticket in the Tracker and is discussed for future
releases.
Join-Columns with non-primary keys
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
It is not possible to use join columns pointing to non-primary keys. Doctrine will think these are the primary
keys and create lazy-loading proxies with the data, which can lead to unexpected results. Doctrine can for performance
reasons not validate the correctness of this settings at runtime but only through the Validate Schema command.
Mapping Arrays to a Join Table
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Related to the previous limitation with "Foreign Keys as
Identifier" you might be interested in mapping the same table
structure as given above to an array. However this is not yet
possible either. See the following example:
.. code-block:: sql
CREATE TABLE product (
id INTEGER,
name VARCHAR,
PRIMARY KEY(id)
);
CREATE TABLE product_attributes (
product_id INTEGER,
attribute_name VARCHAR,
attribute_value VARCHAR,
PRIMARY KEY (product_id, attribute_name)
);
This schema should be mapped to a Product Entity as follows:
.. code-block:: php
class Product
{
private $id;
private $name;
private $attributes = array();
}
Where the ``attribute_name`` column contains the key and
``attribute_value`` contains the value of each array element in
``$attributes``.
The feature request for persistence of primitive value arrays
`is described in the DDC-298 ticket <http://www.doctrine-project.org/jira/browse/DDC-298>`_.
Value Objects
~~~~~~~~~~~~~
There is currently no native support value objects in Doctrine
other than for ``DateTime`` instances or if you serialize the
objects using ``serialize()/deserialize()`` which the DBAL Type
"object" supports.
The feature request for full value-object support
`is described in the DDC-93 ticket <http://www.doctrine-project.org/jira/browse/DDC-93>`_.
Cascade Merge with Bi-directional Associations
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
There are two bugs now that concern the use of cascade merge in combination with bi-directional associations.
Make sure to study the behavior of cascade merge if you are using it:
- `DDC-875 <http://www.doctrine-project.org/jira/browse/DDC-875>`_ Merge can sometimes add the same entity twice into a collection
- `DDC-763 <http://www.doctrine-project.org/jira/browse/DDC-763>`_ Cascade merge on associated entities can insert too many rows through "Persistence by Reachability"
Custom Persisters
~~~~~~~~~~~~~~~~~
A Persister in Doctrine is an object that is responsible for the
hydration and write operations of an entity against the database.
Currently there is no way to overwrite the persister implementation
for a given entity, however there are several use-cases that can
benefit from custom persister implementations:
- `Add Upsert Support <http://www.doctrine-project.org/jira/browse/DDC-668>`_
- `Evaluate possible ways in which stored-procedures can be used <http://www.doctrine-project.org/jira/browse/DDC-445>`_
- The previous Filter Rules Feature Request
Persist Keys of Collections
~~~~~~~~~~~~~~~~~~~~~~~~~~~
PHP Arrays are ordered hash-maps and so should be the
``Doctrine\Common\Collections\Collection`` interface. We plan to
evaluate a feature that optionally persists and hydrates the keys
of a Collection instance.
`Ticket DDC-213 <http://www.doctrine-project.org/jira/browse/DDC-213>`_
Mapping many tables to one entity
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
It is not possible to map several equally looking tables onto one
entity. For example if you have a production and an archive table
of a certain business concept then you cannot have both tables map
to the same entity.
Behaviors
~~~~~~~~~
Doctrine 2 will **never** include a behavior system like Doctrine 1
in the core library. We don't think behaviors add more value than
they cost pain and debugging hell. Please see the many different
blog posts we have written on this topics:
- `Doctrine2 "Behaviors" in a Nutshell <http://www.doctrine-project.org/blog/doctrine2-behaviours-nutshell>`_
- `A re-usable Versionable behavior for Doctrine2 <http://www.doctrine-project.org/blog/doctrine2-versionable>`_
- `Write your own ORM on top of Doctrine2 <http://www.doctrine-project.org/blog/your-own-orm-doctrine2>`_
- `Doctrine 2 Behavioral Extensions <http://www.doctrine-project.org/blog/doctrine2-behavioral-extensions>`_
- `Doctrator <https://github.com/pablodip/doctrator`>_
Doctrine 2 has enough hooks and extension points so that **you** can
add whatever you want on top of it. None of this will ever become
core functionality of Doctrine2 however, you will have to rely on
third party extensions for magical behaviors.
Nested Set
~~~~~~~~~~
NestedSet was offered as a behavior in Doctrine 1 and will not be
included in the core of Doctrine 2. However there are already two
extensions out there that offer support for Nested Set with
Doctrine 2:
- `Doctrine2 Hierarchical-Structural Behavior <http://github.com/guilhermeblanco/Doctrine2-Hierarchical-Structural-Behavior>`_
- `Doctrine2 NestedSet <http://github.com/blt04/doctrine2-nestedset>`_
Known Issues
------------
The Known Issues section describes critical/blocker bugs and other
issues that are either complicated to fix, not fixable due to
backwards compatibility issues or where no simple fix exists (yet).
We don't plan to add every bug in the tracker there, just those
issues that can potentially cause nightmares or pain of any sort.
See the Open Bugs on Jira for more details on `bugs, improvement and feature
requests
<http://www.doctrine-project.org/jira/secure/IssueNavigator.jspa?reset=true&mode=hide&pid=10032&resolution=-1&sorter/field=updated&sorter/order=DESC>`_.
Identifier Quoting and Legacy Databases
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
For compatibility reasons between all the supported vendors and
edge case problems Doctrine 2 does **NOT** do automatic identifier
quoting. This can lead to problems when trying to get
legacy-databases to work with Doctrine 2.
- You can quote column-names as described in the
:doc:`Basic-Mapping <basic-mapping>` section.
- You cannot quote join column names.
- You cannot use non [a-zA-Z0-9\_]+ characters, they will break
several SQL statements.
Having problems with these kind of column names? Many databases
support all CRUD operations on views that semantically map to
certain tables. You can create views for all your problematic
tables and column names to avoid the legacy quoting nightmare.
Microsoft SQL Server and Doctrine "datetime"
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Doctrine assumes that you use ``DateTime2`` data-types. If your legacy database contains DateTime
datatypes then you have to add your own data-type (see Basic Mapping for an example).

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Metadata Drivers
================
The heart of an object relational mapper is the mapping information
that glues everything together. It instructs the EntityManager how
it should behave when dealing with the different entities.
Core Metadata Drivers
---------------------
Doctrine provides a few different ways for you to specify your
metadata:
- **XML files** (XmlDriver)
- **Class DocBlock Annotations** (AnnotationDriver)
- **YAML files** (YamlDriver)
- **PHP Code in files or static functions** (PhpDriver)
Something important to note about the above drivers is they are all
an intermediate step to the same end result. The mapping
information is populated to ``Doctrine\ORM\Mapping\ClassMetadata``
instances. So in the end, Doctrine only ever has to work with the
API of the ``ClassMetadata`` class to get mapping information for
an entity.
.. note::
The populated ``ClassMetadata`` instances are also cached
so in a production environment the parsing and populating only ever
happens once. You can configure the metadata cache implementation
using the ``setMetadataCacheImpl()`` method on the
``Doctrine\ORM\Configuration`` class:
.. code-block:: php
<?php
$em->getConfiguration()->setMetadataCacheImpl(new ApcCache());
If you want to use one of the included core metadata drivers you
just need to configure it. All the drivers are in the
``Doctrine\ORM\Mapping\Driver`` namespace:
.. code-block:: php
<?php
$driver = new \Doctrine\ORM\Mapping\Driver\XmlDriver('/path/to/mapping/files');
$em->getConfiguration()->setMetadataDriverImpl($driver);
Implementing Metadata Drivers
-----------------------------
In addition to the included metadata drivers you can very easily
implement your own. All you need to do is define a class which
implements the ``Driver`` interface:
.. code-block:: php
<?php
namespace Doctrine\ORM\Mapping\Driver;
use Doctrine\ORM\Mapping\ClassMetadataInfo;
interface Driver
{
/**
* Loads the metadata for the specified class into the provided container.
*
* @param string $className
* @param ClassMetadataInfo $metadata
*/
function loadMetadataForClass($className, ClassMetadataInfo $metadata);
/**
* Gets the names of all mapped classes known to this driver.
*
* @return array The names of all mapped classes known to this driver.
*/
function getAllClassNames();
/**
* Whether the class with the specified name should have its metadata loaded.
* This is only the case if it is either mapped as an Entity or a
* MappedSuperclass.
*
* @param string $className
* @return boolean
*/
function isTransient($className);
}
If you want to write a metadata driver to parse information from
some file format we've made your life a little easier by providing
the ``AbstractFileDriver`` implementation for you to extend from:
.. code-block:: php
<?php
class MyMetadataDriver extends AbstractFileDriver
{
/**
* {@inheritdoc}
*/
protected $_fileExtension = '.dcm.ext';
/**
* {@inheritdoc}
*/
public function loadMetadataForClass($className, ClassMetadataInfo $metadata)
{
$data = $this->_loadMappingFile($file);
// populate ClassMetadataInfo instance from $data
}
/**
* {@inheritdoc}
*/
protected function _loadMappingFile($file)
{
// parse contents of $file and return php data structure
}
}
.. note::
When using the ``AbstractFileDriver`` it requires that you
only have one entity defined per file and the file named after the
class described inside where namespace separators are replaced by
periods. So if you have an entity named ``Entities\User`` and you
wanted to write a mapping file for your driver above you would need
to name the file ``Entities.User.dcm.ext`` for it to be
recognized.
Now you can use your ``MyMetadataDriver`` implementation by setting
it with the ``setMetadataDriverImpl()`` method:
.. code-block:: php
<?php
$driver = new MyMetadataDriver('/path/to/mapping/files');
$em->getConfiguration()->setMetadataDriverImpl($driver);
ClassMetadata
-------------
The last piece you need to know and understand about metadata in
Doctrine 2 is the API of the ``ClassMetadata`` classes. You need to
be familiar with them in order to implement your own drivers but
more importantly to retrieve mapping information for a certain
entity when needed.
You have all the methods you need to manually specify the mapping
information instead of using some mapping file to populate it from.
The base ``ClassMetadataInfo`` class is responsible for only data
storage and is not meant for runtime use. It does not require that
the class actually exists yet so it is useful for describing some
entity before it exists and using that information to generate for
example the entities themselves. The class ``ClassMetadata``
extends ``ClassMetadataInfo`` and adds some functionality required
for runtime usage and requires that the PHP class is present and
can be autoloaded.
You can read more about the API of the ``ClassMetadata`` classes in
the PHP Mapping chapter.
Getting ClassMetadata Instances
-------------------------------
If you want to get the ``ClassMetadata`` instance for an entity in
your project to programmatically use some mapping information to
generate some HTML or something similar you can retrieve it through
the ``ClassMetadataFactory``:
.. code-block:: php
<?php
$cmf = $em->getMetadataFactory();
$class = $cmf->getMetadataFor('MyEntityName');
Now you can learn about the entity and use the data stored in the
``ClassMetadata`` instance to get all mapped fields for example and
iterate over them:
.. code-block:: php
<?php
foreach ($class->fieldMappings as $fieldMapping) {
echo $fieldMapping['fieldName'] . "\n";
}

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Implementing a NamingStrategy
==============================
Using a naming strategy you can provide rules for automatically generating
database identifiers, columns and tables names
when the table/column name is not given.
This feature helps reduce the verbosity of the mapping document,
eliminating repetitive noise (eg: ``TABLE_``).
Configuring a naming strategy
-----------------------------
The default strategy used by Doctrine is quite minimal.
By default the ``Doctrine\ORM\Mapping\DefaultNamingStrategy``
uses the simple class name and the attributes names to generate tables and columns
You can specify a different strategy by calling ``Doctrine\ORM\Configuration#setNamingStrategy()`` :
.. code-block:: php
<?php
$namingStrategy = new MyNamingStrategy();
$configuration()->setNamingStrategy($namingStrategy);
Underscore naming strategy
---------------------------
``\Doctrine\ORM\Mapping\UnderscoreNamingStrategy`` is a built-in strategy
that might be a useful if you want to use a underlying convention.
.. code-block:: php
<?php
$namingStrategy = new \Doctrine\ORM\Mapping\UnderscoreNamingStrategy(CASE_UPPER);
$configuration()->setNamingStrategy($namingStrategy);
Then SomeEntityName will generate the table SOME_ENTITY_NAME when CASE_UPPER
or some_entity_name using CASE_LOWER is given.
Naming strategy interface
-------------------------
The interface ``Doctrine\ORM\Mapping\NamingStrategy`` allows you to specify
a "naming standard" for database tables and columns.
.. code-block:: php
<?php
/**
* Return a table name for an entity class
*
* @param string $className The fully-qualified class name
* @return string A table name
*/
function classToTableName($className);
/**
* Return a column name for a property
*
* @param string $propertyName A property
* @return string A column name
*/
function propertyToColumnName($propertyName);
/**
* Return the default reference column name
*
* @return string A column name
*/
function referenceColumnName();
/**
* Return a join column name for a property
*
* @param string $propertyName A property
* @return string A join column name
*/
function joinColumnName($propertyName);
/**
* Return a join table name
*
* @param string $sourceEntity The source entity
* @param string $targetEntity The target entity
* @param string $propertyName A property
* @return string A join table name
*/
function joinTableName($sourceEntity, $targetEntity, $propertyName = null);
/**
* Return the foreign key column name for the given parameters
*
* @param string $entityName A entity
* @param string $referencedColumnName A property
* @return string A join column name
*/
function joinKeyColumnName($entityName, $referencedColumnName = null);
Implementing a naming strategy
-------------------------------
If you have database naming standards like all tables names should be prefixed
by the application prefix, all column names should be upper case,
you can easily achieve such standards by implementing a naming strategy.
You need to implements NamingStrategy first. Following is an example
.. code-block:: php
<?php
class MyAppNamingStrategy implements NamingStrategy
{
public function classToTableName($className)
{
return 'MyApp_' . substr($className, strrpos($className, '\\') + 1);
}
public function propertyToColumnName($propertyName)
{
return $propertyName;
}
public function referenceColumnName()
{
return 'id';
}
public function joinColumnName($propertyName)
{
return $propertyName . '_' . $this->referenceColumnName();
}
public function joinTableName($sourceEntity, $targetEntity, $propertyName = null)
{
return strtolower($this->classToTableName($sourceEntity) . '_' .
$this->classToTableName($targetEntity));
}
public function joinKeyColumnName($entityName, $referencedColumnName = null)
{
return strtolower($this->classToTableName($entityName) . '_' .
($referencedColumnName ?: $this->referenceColumnName()));
}
}
Configuring the namingstrategy is easy if.
Just set your naming strategy calling ``Doctrine\ORM\Configuration#setNamingStrategy()`` :.
.. code-block:: php
<?php
$namingStrategy = new MyAppNamingStrategy();
$configuration()->setNamingStrategy($namingStrategy);

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Native SQL
==========
A ``NativeQuery`` lets you execute native SELECT SQL statements, mapping the results
according to your specifications. Such a specification that
describes how an SQL result set is mapped to a Doctrine result is
represented by a ``ResultSetMapping``. It describes how each column
of the database result should be mapped by Doctrine in terms of the
object graph. This allows you to map arbitrary SQL code to objects,
such as highly vendor-optimized SQL or stored-procedures.
Because writing ``ResultSetMapping`` is not so simple, there is a convenience
wrapper around it called a ``ResultSetMappingBuilder``. The last section
of this chapter describes its usage.
.. note::
If you want to execute DELETE, UPDATE or INSERT statements
the Native SQL API cannot be used and will probably throw errors.
Use ``EntityManager#getConnection()`` to access the native database
connection and call the ``executeUpdate()`` method for these
queries.
The NativeQuery class
---------------------
To create a ``NativeQuery`` you use the method
``EntityManager#createNativeQuery($sql, $resultSetMapping)``. As
you can see in the signature of this method, it expects 2
ingredients: The SQL you want to execute and the
``ResultSetMapping`` that describes how the results will be
mapped.
Once you obtained an instance of a ``NativeQuery``, you can bind
parameters to it and finally execute it.
The ResultSetMapping
--------------------
Understanding the ``ResultSetMapping`` is the key to using a
``NativeQuery``. A Doctrine result can contain the following
components:
- Entity results. These represent root result elements.
- Joined entity results. These represent joined entities in
associations of root entity results.
- Field results. These represent a column in the result set that
maps to a field of an entity. A field result always belongs to an
entity result or joined entity result.
- Scalar results. These represent scalar values in the result set
that will appear in each result row. Adding scalar results to a
ResultSetMapping can also cause the overall result to become
**mixed** (see DQL - Doctrine Query Language) if the same
ResultSetMapping also contains entity results.
- Meta results. These represent columns that contain
meta-information, such as foreign keys and discriminator columns.
When querying for objects (``getResult()``), all meta columns of
root entities or joined entities must be present in the SQL query
and mapped accordingly using ``ResultSetMapping#addMetaResult``.
.. note::
It might not surprise you that Doctrine uses
``ResultSetMapping`` internally when you create DQL queries. As
the query gets parsed and transformed to SQL, Doctrine fills a
``ResultSetMapping`` that describes how the results should be
processed by the hydration routines.
We will now look at each of the result types that can appear in a
ResultSetMapping in detail.
Entity results
~~~~~~~~~~~~~~
An entity result describes an entity type that appears as a root
element in the transformed result. You add an entity result through
``ResultSetMapping#addEntityResult()``. Let's take a look at the
method signature in detail:
.. code-block:: php
<?php
/**
* Adds an entity result to this ResultSetMapping.
*
* @param string $class The class name of the entity.
* @param string $alias The alias for the class. The alias must be unique among all entity
* results or joined entity results within this ResultSetMapping.
*/
public function addEntityResult($class, $alias)
The first parameter is the fully qualified name of the entity
class. The second parameter is some arbitrary alias for this entity
result that must be unique within a ``ResultSetMapping``. You use
this alias to attach field results to the entity result. It is very
similar to an identification variable that you use in DQL to alias
classes or relationships.
An entity result alone is not enough to form a valid
``ResultSetMapping``. An entity result or joined entity result
always needs a set of field results, which we will look at soon.
Joined entity results
~~~~~~~~~~~~~~~~~~~~~
A joined entity result describes an entity type that appears as a
joined relationship element in the transformed result, attached to
a (root) entity result. You add a joined entity result through
``ResultSetMapping#addJoinedEntityResult()``. Let's take a look at
the method signature in detail:
.. code-block:: php
<?php
/**
* Adds a joined entity result.
*
* @param string $class The class name of the joined entity.
* @param string $alias The unique alias to use for the joined entity.
* @param string $parentAlias The alias of the entity result that is the parent of this joined result.
* @param object $relation The association field that connects the parent entity result with the joined entity result.
*/
public function addJoinedEntityResult($class, $alias, $parentAlias, $relation)
The first parameter is the class name of the joined entity. The
second parameter is an arbitrary alias for the joined entity that
must be unique within the ``ResultSetMapping``. You use this alias
to attach field results to the entity result. The third parameter
is the alias of the entity result that is the parent type of the
joined relationship. The fourth and last parameter is the name of
the field on the parent entity result that should contain the
joined entity result.
Field results
~~~~~~~~~~~~~
A field result describes the mapping of a single column in an SQL
result set to a field in an entity. As such, field results are
inherently bound to entity results. You add a field result through
``ResultSetMapping#addFieldResult()``. Again, let's examine the
method signature in detail:
.. code-block:: php
<?php
/**
* Adds a field result that is part of an entity result or joined entity result.
*
* @param string $alias The alias of the entity result or joined entity result.
* @param string $columnName The name of the column in the SQL result set.
* @param string $fieldName The name of the field on the (joined) entity.
*/
public function addFieldResult($alias, $columnName, $fieldName)
The first parameter is the alias of the entity result to which the
field result will belong. The second parameter is the name of the
column in the SQL result set. Note that this name is case
sensitive, i.e. if you use a native query against Oracle it must be
all uppercase. The third parameter is the name of the field on the
entity result identified by ``$alias`` into which the value of the
column should be set.
Scalar results
~~~~~~~~~~~~~~
A scalar result describes the mapping of a single column in an SQL
result set to a scalar value in the Doctrine result. Scalar results
are typically used for aggregate values but any column in the SQL
result set can be mapped as a scalar value. To add a scalar result
use ``ResultSetMapping#addScalarResult()``. The method signature in
detail:
.. code-block:: php
<?php
/**
* Adds a scalar result mapping.
*
* @param string $columnName The name of the column in the SQL result set.
* @param string $alias The result alias with which the scalar result should be placed in the result structure.
*/
public function addScalarResult($columnName, $alias)
The first parameter is the name of the column in the SQL result set
and the second parameter is the result alias under which the value
of the column will be placed in the transformed Doctrine result.
Meta results
~~~~~~~~~~~~
A meta result describes a single column in an SQL result set that
is either a foreign key or a discriminator column. These columns
are essential for Doctrine to properly construct objects out of SQL
result sets. To add a column as a meta result use
``ResultSetMapping#addMetaResult()``. The method signature in
detail:
.. code-block:: php
<?php
/**
* Adds a meta column (foreign key or discriminator column) to the result set.
*
* @param string $alias
* @param string $columnAlias
* @param string $columnName
*/
public function addMetaResult($alias, $columnAlias, $columnName)
The first parameter is the alias of the entity result to which the
meta column belongs. A meta result column (foreign key or
discriminator column) always belongs to to an entity result. The
second parameter is the column alias/name of the column in the SQL
result set and the third parameter is the column name used in the
mapping.
Discriminator Column
~~~~~~~~~~~~~~~~~~~~
When joining an inheritance tree you have to give Doctrine a hint
which meta-column is the discriminator column of this tree.
.. code-block:: php
<?php
/**
* Sets a discriminator column for an entity result or joined entity result.
* The discriminator column will be used to determine the concrete class name to
* instantiate.
*
* @param string $alias The alias of the entity result or joined entity result the discriminator
* column should be used for.
* @param string $discrColumn The name of the discriminator column in the SQL result set.
*/
public function setDiscriminatorColumn($alias, $discrColumn)
Examples
~~~~~~~~
Understanding a ResultSetMapping is probably easiest through
looking at some examples.
First a basic example that describes the mapping of a single
entity.
.. code-block:: php
<?php
// Equivalent DQL query: "select u from User u where u.name=?1"
// User owns no associations.
$rsm = new ResultSetMapping;
$rsm->addEntityResult('User', 'u');
$rsm->addFieldResult('u', 'id', 'id');
$rsm->addFieldResult('u', 'name', 'name');
$query = $this->_em->createNativeQuery('SELECT id, name FROM users WHERE name = ?', $rsm);
$query->setParameter(1, 'romanb');
$users = $query->getResult();
The result would look like this:
.. code-block:: php
array(
[0] => User (Object)
)
Note that this would be a partial object if the entity has more
fields than just id and name. In the example above the column and
field names are identical but that is not necessary, of course.
Also note that the query string passed to createNativeQuery is
**real native SQL**. Doctrine does not touch this SQL in any way.
In the previous basic example, a User had no relations and the
table the class is mapped to owns no foreign keys. The next example
assumes User has a unidirectional or bidirectional one-to-one
association to a CmsAddress, where the User is the owning side and
thus owns the foreign key.
.. code-block:: php
<?php
// Equivalent DQL query: "select u from User u where u.name=?1"
// User owns an association to an Address but the Address is not loaded in the query.
$rsm = new ResultSetMapping;
$rsm->addEntityResult('User', 'u');
$rsm->addFieldResult('u', 'id', 'id');
$rsm->addFieldResult('u', 'name', 'name');
$rsm->addMetaResult('u', 'address_id', 'address_id');
$query = $this->_em->createNativeQuery('SELECT id, name, address_id FROM users WHERE name = ?', $rsm);
$query->setParameter(1, 'romanb');
$users = $query->getResult();
Foreign keys are used by Doctrine for lazy-loading purposes when
querying for objects. In the previous example, each user object in
the result will have a proxy (a "ghost") in place of the address
that contains the address\_id. When the ghost proxy is accessed, it
loads itself based on this key.
Consequently, associations that are *fetch-joined* do not require
the foreign keys to be present in the SQL result set, only
associations that are lazy.
.. code-block:: php
<?php
// Equivalent DQL query: "select u from User u join u.address a WHERE u.name = ?1"
// User owns association to an Address and the Address is loaded in the query.
$rsm = new ResultSetMapping;
$rsm->addEntityResult('User', 'u');
$rsm->addFieldResult('u', 'id', 'id');
$rsm->addFieldResult('u', 'name', 'name');
$rsm->addJoinedEntityResult('Address' , 'a', 'u', 'address');
$rsm->addFieldResult('a', 'address_id', 'id');
$rsm->addFieldResult('a', 'street', 'street');
$rsm->addFieldResult('a', 'city', 'city');
$sql = 'SELECT u.id, u.name, a.id AS address_id, a.street, a.city FROM users u ' .
'INNER JOIN address a ON u.address_id = a.id WHERE u.name = ?';
$query = $this->_em->createNativeQuery($sql, $rsm);
$query->setParameter(1, 'romanb');
$users = $query->getResult();
In this case the nested entity ``Address`` is registered with the
``ResultSetMapping#addJoinedEntityResult`` method, which notifies
Doctrine that this entity is not hydrated at the root level, but as
a joined entity somewhere inside the object graph. In this case we
specify the alias 'u' as third parameter and ``address`` as fourth
parameter, which means the ``Address`` is hydrated into the
``User::$address`` property.
If a fetched entity is part of a mapped hierarchy that requires a
discriminator column, this column must be present in the result set
as a meta column so that Doctrine can create the appropriate
concrete type. This is shown in the following example where we
assume that there are one or more subclasses that extend User and
either Class Table Inheritance or Single Table Inheritance is used
to map the hierarchy (both use a discriminator column).
.. code-block:: php
<?php
// Equivalent DQL query: "select u from User u where u.name=?1"
// User is a mapped base class for other classes. User owns no associations.
$rsm = new ResultSetMapping;
$rsm->addEntityResult('User', 'u');
$rsm->addFieldResult('u', 'id', 'id');
$rsm->addFieldResult('u', 'name', 'name');
$rsm->addMetaResult('u', 'discr', 'discr'); // discriminator column
$rsm->setDiscriminatorColumn('u', 'discr');
$query = $this->_em->createNativeQuery('SELECT id, name, discr FROM users WHERE name = ?', $rsm);
$query->setParameter(1, 'romanb');
$users = $query->getResult();
Note that in the case of Class Table Inheritance, an example as
above would result in partial objects if any objects in the result
are actually a subtype of User. When using DQL, Doctrine
automatically includes the necessary joins for this mapping
strategy but with native SQL it is your responsibility.
ResultSetMappingBuilder
-----------------------
There are some downsides with Native SQL queries. The primary one is that you have to adjust all result set mapping
definitions if names of columns change. In DQL this is detected dynamically when the Query is regenerated with
the current metadata.
To avoid this hassle you can use the ``ResultSetMappingBuilder`` class. It allows to add all columns of an entity
to a result set mapping. To avoid clashes you can optionally rename specific columns when you are doing the same
in your sQL statement:
.. code-block:: php
<?php
use Doctrine\ORM\Query\ResultSetMappingBuilder;
$sql = "SELECT u.id, u.name, a.id AS address_id, a.street, a.city " .
"FROM users u INNER JOIN address a ON u.address_id = a.id";
$rsm = new ResultSetMappingBuilder($entityManager);
$rsm->addRootEntityFromClassMetadata('MyProject\User', 'u');
$rsm->addJoinedEntityFromClassMetadata('MyProject\Address', 'a', 'u', 'address', array('id' => 'address_id'));
For entities with more columns the builder is very convenient to use. It extends the ``ResultSetMapping`` class
and as such has all the functionality of it as well. Currently the ``ResultSetMappingBuilder`` does not support
entities with inheritance.
Named Native Query
------------------
You can also map a native query using a named native query mapping.
To achieve that, you must describe the SQL resultset structure
using named native query (and sql resultset mappings if is a several resultset mappings).
Like named query, a named native query can be defined at class level or in a XML or YAML file.
A resultSetMapping parameter is defined in @NamedNativeQuery,
it represents the name of a defined @SqlResultSetMapping.
.. configuration-block::
.. code-block:: php
<?php
namespace MyProject\Model;
/**
* @NamedNativeQueries({
* @NamedNativeQuery(
* name = "fetchMultipleJoinsEntityResults",
* resultSetMapping= "mappingMultipleJoinsEntityResults",
* query = "SELECT u.id AS u_id, u.name AS u_name, u.status AS u_status, a.id AS a_id, a.zip AS a_zip, a.country AS a_country, COUNT(p.phonenumber) AS numphones FROM users u INNER JOIN addresses a ON u.id = a.user_id INNER JOIN phonenumbers p ON u.id = p.user_id GROUP BY u.id, u.name, u.status, u.username, a.id, a.zip, a.country ORDER BY u.username"
* ),
* })
* @SqlResultSetMappings({
* @SqlResultSetMapping(
* name = "mappingMultipleJoinsEntityResults",
* entities= {
* @EntityResult(
* entityClass = "__CLASS__",
* fields = {
* @FieldResult(name = "id", column="u_id"),
* @FieldResult(name = "name", column="u_name"),
* @FieldResult(name = "status", column="u_status"),
* }
* ),
* @EntityResult(
* entityClass = "Address",
* fields = {
* @FieldResult(name = "id", column="a_id"),
* @FieldResult(name = "zip", column="a_zip"),
* @FieldResult(name = "country", column="a_country"),
* }
* )
* },
* columns = {
* @ColumnResult("numphones")
* }
* )
*})
*/
class User
{
/** @Id @Column(type="integer") @GeneratedValue */
public $id;
/** @Column(type="string", length=50, nullable=true) */
public $status;
/** @Column(type="string", length=255, unique=true) */
public $username;
/** @Column(type="string", length=255) */
public $name;
/** @OneToMany(targetEntity="Phonenumber") */
public $phonenumbers;
/** @OneToOne(targetEntity="Address") */
public $address;
// ....
}
.. code-block:: xml
<doctrine-mapping>
<entity name="MyProject\Model\User">
<named-native-queries>
<named-native-query name="fetchMultipleJoinsEntityResults" result-set-mapping="mappingMultipleJoinsEntityResults">
<query>SELECT u.id AS u_id, u.name AS u_name, u.status AS u_status, a.id AS a_id, a.zip AS a_zip, a.country AS a_country, COUNT(p.phonenumber) AS numphones FROM users u INNER JOIN addresses a ON u.id = a.user_id INNER JOIN phonenumbers p ON u.id = p.user_id GROUP BY u.id, u.name, u.status, u.username, a.id, a.zip, a.country ORDER BY u.username</query>
</named-native-query>
</named-native-queries>
<sql-result-set-mappings>
<sql-result-set-mapping name="mappingMultipleJoinsEntityResults">
<entity-result entity-class="__CLASS__">
<field-result name="id" column="u_id"/>
<field-result name="name" column="u_name"/>
<field-result name="status" column="u_status"/>
</entity-result>
<entity-result entity-class="Address">
<field-result name="id" column="a_id"/>
<field-result name="zip" column="a_zip"/>
<field-result name="country" column="a_country"/>
</entity-result>
<column-result name="numphones"/>
</sql-result-set-mapping>
</sql-result-set-mappings>
</entity>
</doctrine-mapping>
.. code-block:: yaml
MyProject\Model\User:
type: entity
namedNativeQueries:
fetchMultipleJoinsEntityResults:
name: fetchMultipleJoinsEntityResults
resultSetMapping: mappingMultipleJoinsEntityResults
query: SELECT u.id AS u_id, u.name AS u_name, u.status AS u_status, a.id AS a_id, a.zip AS a_zip, a.country AS a_country, COUNT(p.phonenumber) AS numphones FROM users u INNER JOIN addresses a ON u.id = a.user_id INNER JOIN phonenumbers p ON u.id = p.user_id GROUP BY u.id, u.name, u.status, u.username, a.id, a.zip, a.country ORDER BY u.username
sqlResultSetMappings:
mappingMultipleJoinsEntityResults:
name: mappingMultipleJoinsEntityResults
columnResult:
0:
name: numphones
entityResult:
0:
entityClass: __CLASS__
fieldResult:
0:
name: id
column: u_id
1:
name: name
column: u_name
2:
name: status
column: u_status
1:
entityClass: Address
fieldResult:
0:
name: id
column: a_id
1:
name: zip
column: a_zip
2:
name: country
column: a_country
Things to note:
- The resultset mapping declares the entities retrieved by this native query.
- Each field of the entity is bound to an SQL alias (or column name).
- All fields of the entity including the ones of subclasses
and the foreign key columns of related entities have to be present in the SQL query.
- Field definitions are optional provided that they map to the same
column name as the one declared on the class property.
- ``__CLASS__`` is a alias for the mapped class
In the above example,
the ``fetchJoinedAddress`` named query use the joinMapping result set mapping.
This mapping returns 2 entities, User and Address, each property is declared and associated to a column name,
actually the column name retrieved by the query.
Let's now see an implicit declaration of the property / column.
.. configuration-block::
.. code-block:: php
<?php
namespace MyProject\Model;
<?php
/**
* @NamedNativeQueries({
* @NamedNativeQuery(
* name = "findAll",
* resultSetMapping = "mappingFindAll",
* query = "SELECT * FROM addresses"
* ),
* })
* @SqlResultSetMappings({
* @SqlResultSetMapping(
* name = "mappingFindAll",
* entities= {
* @EntityResult(
* entityClass = "Address"
* )
* }
* )
* })
*/
class Address
{
/** @Id @Column(type="integer") @GeneratedValue */
public $id;
/** @Column() */
public $country;
/** @Column() */
public $zip;
/** @Column()*/
public $city;
// ....
}
.. code-block:: xml
<doctrine-mapping>
<entity name="MyProject\Model\Address">
<named-native-queries>
<named-native-query name="findAll" result-set-mapping="mappingFindAll">
<query>SELECT * FROM addresses</query>
</named-native-query>
</named-native-queries>
<sql-result-set-mappings>
<sql-result-set-mapping name="mappingFindAll">
<entity-result entity-class="Address"/>
</sql-result-set-mapping>
</sql-result-set-mappings>
</entity>
</doctrine-mapping>
.. code-block:: yaml
MyProject\Model\Address:
type: entity
namedNativeQueries:
findAll:
resultSetMapping: mappingFindAll
query: SELECT * FROM addresses
sqlResultSetMappings:
mappingFindAll:
name: mappingFindAll
entityResult:
address:
entityClass: Address
In this example, we only describe the entity member of the result set mapping.
The property / column mappings is done using the entity mapping values.
In this case the model property is bound to the model_txt column.
If the association to a related entity involve a composite primary key,
a @FieldResult element should be used for each foreign key column.
The @FieldResult name is composed of the property name for the relationship,
followed by a dot ("."), followed by the name or the field or property of the primary key.
.. configuration-block::
.. code-block:: php
<?php
namespace MyProject\Model;
<?php
/**
* @NamedNativeQueries({
* @NamedNativeQuery(
* name = "fetchJoinedAddress",
* resultSetMapping= "mappingJoinedAddress",
* query = "SELECT u.id, u.name, u.status, a.id AS a_id, a.country AS a_country, a.zip AS a_zip, a.city AS a_city FROM users u INNER JOIN addresses a ON u.id = a.user_id WHERE u.username = ?"
* ),
* })
* @SqlResultSetMappings({
* @SqlResultSetMapping(
* name = "mappingJoinedAddress",
* entities= {
* @EntityResult(
* entityClass = "__CLASS__",
* fields = {
* @FieldResult(name = "id"),
* @FieldResult(name = "name"),
* @FieldResult(name = "status"),
* @FieldResult(name = "address.id", column = "a_id"),
* @FieldResult(name = "address.zip", column = "a_zip"),
* @FieldResult(name = "address.city", column = "a_city"),
* @FieldResult(name = "address.country", column = "a_country"),
* }
* )
* }
* )
* })
*/
class User
{
/** @Id @Column(type="integer") @GeneratedValue */
public $id;
/** @Column(type="string", length=50, nullable=true) */
public $status;
/** @Column(type="string", length=255, unique=true) */
public $username;
/** @Column(type="string", length=255) */
public $name;
/** @OneToOne(targetEntity="Address") */
public $address;
// ....
}
.. code-block:: xml
<doctrine-mapping>
<entity name="MyProject\Model\User">
<named-native-queries>
<named-native-query name="fetchJoinedAddress" result-set-mapping="mappingJoinedAddress">
<query>SELECT u.id, u.name, u.status, a.id AS a_id, a.country AS a_country, a.zip AS a_zip, a.city AS a_city FROM users u INNER JOIN addresses a ON u.id = a.user_id WHERE u.username = ?</query>
</named-native-query>
</named-native-queries>
<sql-result-set-mappings>
<sql-result-set-mapping name="mappingJoinedAddress">
<entity-result entity-class="__CLASS__">
<field-result name="id"/>
<field-result name="name"/>
<field-result name="status"/>
<field-result name="address.id" column="a_id"/>
<field-result name="address.zip" column="a_zip"/>
<field-result name="address.city" column="a_city"/>
<field-result name="address.country" column="a_country"/>
</entity-result>
</sql-result-set-mapping>
</sql-result-set-mappings>
</entity>
</doctrine-mapping>
.. code-block:: yaml
MyProject\Model\User:
type: entity
namedNativeQueries:
fetchJoinedAddress:
name: fetchJoinedAddress
resultSetMapping: mappingJoinedAddress
query: SELECT u.id, u.name, u.status, a.id AS a_id, a.country AS a_country, a.zip AS a_zip, a.city AS a_city FROM users u INNER JOIN addresses a ON u.id = a.user_id WHERE u.username = ?
sqlResultSetMappings:
mappingJoinedAddress:
entityResult:
0:
entityClass: __CLASS__
fieldResult:
0:
name: id
1:
name: name
2:
name: status
3:
name: address.id
column: a_id
4:
name: address.zip
column: a_zip
5:
name: address.city
column: a_city
6:
name: address.country
column: a_country
If you retrieve a single entity and if you use the default mapping,
you can use the resultClass attribute instead of resultSetMapping:
.. configuration-block::
.. code-block:: php
<?php
namespace MyProject\Model;
<?php
/**
* @NamedNativeQueries({
* @NamedNativeQuery(
* name = "find-by-id",
* resultClass = "Address",
* query = "SELECT * FROM addresses"
* ),
* })
*/
class Address
{
// ....
}
.. code-block:: xml
<doctrine-mapping>
<entity name="MyProject\Model\Address">
<named-native-queries>
<named-native-query name="find-by-id" result-class="Address">
<query>SELECT * FROM addresses WHERE id = ?</query>
</named-native-query>
</named-native-queries>
</entity>
</doctrine-mapping>
.. code-block:: yaml
MyProject\Model\Address:
type: entity
namedNativeQueries:
findAll:
name: findAll
resultClass: Address
query: SELECT * FROM addresses
In some of your native queries, you'll have to return scalar values,
for example when building report queries.
You can map them in the @SqlResultsetMapping through @ColumnResult.
You actually can even mix, entities and scalar returns in the same native query (this is probably not that common though).
.. configuration-block::
.. code-block:: php
<?php
namespace MyProject\Model;
<?php
/**
* @NamedNativeQueries({
* @NamedNativeQuery(
* name = "count",
* resultSetMapping= "mappingCount",
* query = "SELECT COUNT(*) AS count FROM addresses"
* )
* })
* @SqlResultSetMappings({
* @SqlResultSetMapping(
* name = "mappingCount",
* columns = {
* @ColumnResult(
* name = "count"
* )
* }
* )
* })
*/
class Address
{
// ....
}
.. code-block:: xml
<doctrine-mapping>
<entity name="MyProject\Model\Address">
<named-native-query name="count" result-set-mapping="mappingCount">
<query>SELECT COUNT(*) AS count FROM addresses</query>
</named-native-query>
<sql-result-set-mappings>
<sql-result-set-mapping name="mappingCount">
<column-result name="count"/>
</sql-result-set-mapping>
</sql-result-set-mappings>
</entity>
</doctrine-mapping>
.. code-block:: yaml
MyProject\Model\Address:
type: entity
namedNativeQueries:
count:
name: count
resultSetMapping: mappingCount
query: SELECT COUNT(*) AS count FROM addresses
sqlResultSetMappings:
mappingCount:
name: mappingCount
columnResult:
count:
name: count

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Partial Objects
===============
A partial object is an object whose state is not fully initialized
after being reconstituted from the database and that is
disconnected from the rest of its data. The following section will
describe why partial objects are problematic and what the approach
of Doctrine2 to this problem is.
.. note::
The partial object problem in general does not apply to
methods or queries where you do not retrieve the query result as
objects. Examples are: ``Query#getArrayResult()``,
``Query#getScalarResult()``, ``Query#getSingleScalarResult()``,
etc.
.. warning::
Use of partial objects is tricky. Fields that are not retrieved
from the database will not be updated by the UnitOfWork even if they
get changed in your objects. You can only promote a partial object
to a fully-loaded object by calling ``EntityManager#refresh()``
or a DQL query with the refresh flag.
What is the problem?
--------------------
In short, partial objects are problematic because they are usually
objects with broken invariants. As such, code that uses these
partial objects tends to be very fragile and either needs to "know"
which fields or methods can be safely accessed or add checks around
every field access or method invocation. The same holds true for
the internals, i.e. the method implementations, of such objects.
You usually simply assume the state you need in the method is
available, after all you properly constructed this object before
you pushed it into the database, right? These blind assumptions can
quickly lead to null reference errors when working with such
partial objects.
It gets worse with the scenario of an optional association (0..1 to
1). When the associated field is NULL, you don't know whether this
object does not have an associated object or whether it was simply
not loaded when the owning object was loaded from the database.
These are reasons why many ORMs do not allow partial objects at all
and instead you always have to load an object with all its fields
(associations being proxied). One secure way to allow partial
objects is if the programming language/platform allows the ORM tool
to hook deeply into the object and instrument it in such a way that
individual fields (not only associations) can be loaded lazily on
first access. This is possible in Java, for example, through
bytecode instrumentation. In PHP though this is not possible, so
there is no way to have "secure" partial objects in an ORM with
transparent persistence.
Doctrine, by default, does not allow partial objects. That means,
any query that only selects partial object data and wants to
retrieve the result as objects (i.e. ``Query#getResult()``) will
raise an exception telling you that partial objects are dangerous.
If you want to force a query to return you partial objects,
possibly as a performance tweak, you can use the ``partial``
keyword as follows:
.. code-block:: php
<?php
$q = $em->createQuery("select partial u.{id,name} from MyApp\Domain\User u");
You can also get a partial reference instead of a proxy reference by
calling:
.. code-block:: php
<?php
$reference = $em->getPartialReference('MyApp\Domain\User', 1);
Partial references are objects with only the identifiers set as they
are passed to the second argument of the ``getPartialReference()`` method.
All other fields are null.
When should I force partial objects?
------------------------------------
Mainly for optimization purposes, but be careful of premature
optimization as partial objects lead to potentially more fragile
code.

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PHP Mapping
===========
Doctrine 2 also allows you to provide the ORM metadata in the form
of plain PHP code using the ``ClassMetadata`` API. You can write
the code in PHP files or inside of a static function named
``loadMetadata($class)`` on the entity class itself.
PHP Files
---------
If you wish to write your mapping information inside PHP files that
are named after the entity and included to populate the metadata
for an entity you can do so by using the ``PHPDriver``:
.. code-block:: php
<?php
$driver = new PHPDriver('/path/to/php/mapping/files');
$em->getConfiguration()->setMetadataDriverImpl($driver);
Now imagine we had an entity named ``Entities\User`` and we wanted
to write a mapping file for it using the above configured
``PHPDriver`` instance:
.. code-block:: php
<?php
namespace Entities;
class User
{
private $id;
private $username;
}
To write the mapping information you just need to create a file
named ``Entities.User.php`` inside of the
``/path/to/php/mapping/files`` folder:
.. code-block:: php
<?php
// /path/to/php/mapping/files/Entities.User.php
$metadata->mapField(array(
'id' => true,
'fieldName' => 'id',
'type' => 'integer'
));
$metadata->mapField(array(
'fieldName' => 'username',
'type' => 'string'
));
Now we can easily retrieve the populated ``ClassMetadata`` instance
where the ``PHPDriver`` includes the file and the
``ClassMetadataFactory`` caches it for later retrieval:
.. code-block:: php
<?php
$class = $em->getClassMetadata('Entities\User');
// or
$class = $em->getMetadataFactory()->getMetadataFor('Entities\User');
Static Function
---------------
In addition to the PHP files you can also specify your mapping
information inside of a static function defined on the entity class
itself. This is useful for cases where you want to keep your entity
and mapping information together but don't want to use annotations.
For this you just need to use the ``StaticPHPDriver``:
.. code-block:: php
<?php
$driver = new StaticPHPDriver('/path/to/entities');
$em->getConfiguration()->setMetadataDriverImpl($driver);
Now you just need to define a static function named
``loadMetadata($metadata)`` on your entity:
.. code-block:: php
<?php
namespace Entities;
use Doctrine\ORM\Mapping\ClassMetadata;
class User
{
// ...
public static function loadMetadata(ClassMetadata $metadata)
{
$metadata->mapField(array(
'id' => true,
'fieldName' => 'id',
'type' => 'integer'
));
$metadata->mapField(array(
'fieldName' => 'username',
'type' => 'string'
));
}
}
ClassMetadataBuilder
--------------------
To ease the use of the ClassMetadata API (which is very raw) there is a ``ClassMetadataBuilder`` that you can use.
.. code-block:: php
<?php
namespace Entities;
use Doctrine\ORM\Mapping\ClassMetadata;
use Doctrine\ORM\Mapping\Builder\ClassMetadataBuilder;
class User
{
// ...
public static function loadMetadata(ClassMetadata $metadata)
{
$builder = new ClassMetadataBuilder($metadata);
$builder->createField('id', 'integer')->isPrimaryKey()->generatedValue()->build();
$builder->addField('username', 'string');
}
}
The API of the ClassMetadataBuilder has the following methods with a fluent interface:
- ``addField($name, $type, array $mapping)``
- ``setMappedSuperclass()``
- ``setReadOnly()``
- ``setCustomRepositoryClass($className)``
- ``setTable($name)``
- ``addIndex(array $columns, $indexName)``
- ``addUniqueConstraint(array $columns, $constraintName)``
- ``addNamedQuery($name, $dqlQuery)``
- ``setJoinedTableInheritance()``
- ``setSingleTableInheritance()``
- ``setDiscriminatorColumn($name, $type = 'string', $length = 255)``
- ``addDiscriminatorMapClass($name, $class)``
- ``setChangeTrackingPolicyDeferredExplicit()``
- ``setChangeTrackingPolicyNotify()``
- ``addLifecycleEvent($methodName, $event)``
- ``addManyToOne($name, $targetEntity, $inversedBy = null)``
- ``addInverseOneToOne($name, $targetEntity, $mappedBy)``
- ``addOwningOneToOne($name, $targetEntity, $inversedBy = null)``
- ``addOwningManyToMany($name, $targetEntity, $inversedBy = null)``
- ``addInverseManyToMany($name, $targetEntity, $mappedBy)``
- ``addOneToMany($name, $targetEntity, $mappedBy)``
It also has several methods that create builders (which are necessary for advanced mappings):
- ``createField($name, $type)`` returns a ``FieldBuilder`` instance
- ``createManyToOne($name, $targetEntity)`` returns an ``AssociationBuilder`` instance
- ``createOneToOne($name, $targetEntity)`` returns an ``AssociationBuilder`` instance
- ``createManyToMany($name, $targetEntity)`` returns an ``ManyToManyAssociationBuilder`` instance
- ``createOneToMany($name, $targetEntity)`` returns an ``OneToManyAssociationBuilder`` instance
ClassMetadataInfo API
---------------------
The ``ClassMetadataInfo`` class is the base data object for storing
the mapping metadata for a single entity. It contains all the
getters and setters you need populate and retrieve information for
an entity.
General Setters
~~~~~~~~~~~~~~~
- ``setTableName($tableName)``
- ``setPrimaryTable(array $primaryTableDefinition)``
- ``setCustomRepositoryClass($repositoryClassName)``
- ``setIdGeneratorType($generatorType)``
- ``setIdGenerator($generator)``
- ``setSequenceGeneratorDefinition(array $definition)``
- ``setChangeTrackingPolicy($policy)``
- ``setIdentifier(array $identifier)``
Inheritance Setters
~~~~~~~~~~~~~~~~~~~
- ``setInheritanceType($type)``
- ``setSubclasses(array $subclasses)``
- ``setParentClasses(array $classNames)``
- ``setDiscriminatorColumn($columnDef)``
- ``setDiscriminatorMap(array $map)``
Field Mapping Setters
~~~~~~~~~~~~~~~~~~~~~
- ``mapField(array $mapping)``
- ``mapOneToOne(array $mapping)``
- ``mapOneToMany(array $mapping)``
- ``mapManyToOne(array $mapping)``
- ``mapManyToMany(array $mapping)``
Lifecycle Callback Setters
~~~~~~~~~~~~~~~~~~~~~~~~~~
- ``addLifecycleCallback($callback, $event)``
- ``setLifecycleCallbacks(array $callbacks)``
Versioning Setters
~~~~~~~~~~~~~~~~~~
- ``setVersionMapping(array &$mapping)``
- ``setVersioned($bool)``
- ``setVersionField()``
General Getters
~~~~~~~~~~~~~~~
- ``getTableName()``
- ``getTemporaryIdTableName()``
Identifier Getters
~~~~~~~~~~~~~~~~~~
- ``getIdentifierColumnNames()``
- ``usesIdGenerator()``
- ``isIdentifier($fieldName)``
- ``isIdGeneratorIdentity()``
- ``isIdGeneratorSequence()``
- ``isIdGeneratorTable()``
- ``isIdentifierNatural()``
- ``getIdentifierFieldNames()``
- ``getSingleIdentifierFieldName()``
- ``getSingleIdentifierColumnName()``
Inheritance Getters
~~~~~~~~~~~~~~~~~~~
- ``isInheritanceTypeNone()``
- ``isInheritanceTypeJoined()``
- ``isInheritanceTypeSingleTable()``
- ``isInheritanceTypeTablePerClass()``
- ``isInheritedField($fieldName)``
- ``isInheritedAssociation($fieldName)``
Change Tracking Getters
~~~~~~~~~~~~~~~~~~~~~~~
- ``isChangeTrackingDeferredExplicit()``
- ``isChangeTrackingDeferredImplicit()``
- ``isChangeTrackingNotify()``
Field & Association Getters
~~~~~~~~~~~~~~~~~~~~~~~~~~~
- ``isUniqueField($fieldName)``
- ``isNullable($fieldName)``
- ``getColumnName($fieldName)``
- ``getFieldMapping($fieldName)``
- ``getAssociationMapping($fieldName)``
- ``getAssociationMappings()``
- ``getFieldName($columnName)``
- ``hasField($fieldName)``
- ``getColumnNames(array $fieldNames = null)``
- ``getTypeOfField($fieldName)``
- ``getTypeOfColumn($columnName)``
- ``hasAssociation($fieldName)``
- ``isSingleValuedAssociation($fieldName)``
- ``isCollectionValuedAssociation($fieldName)``
Lifecycle Callback Getters
~~~~~~~~~~~~~~~~~~~~~~~~~~
- ``hasLifecycleCallbacks($lifecycleEvent)``
- ``getLifecycleCallbacks($event)``
ClassMetadata API
-----------------
The ``ClassMetadata`` class extends ``ClassMetadataInfo`` and adds
the runtime functionality required by Doctrine. It adds a few extra
methods related to runtime reflection for working with the entities
themselves.
- ``getReflectionClass()``
- ``getReflectionProperties()``
- ``getReflectionProperty($name)``
- ``getSingleIdReflectionProperty()``
- ``getIdentifierValues($entity)``
- ``setIdentifierValues($entity, $id)``
- ``setFieldValue($entity, $field, $value)``
- ``getFieldValue($entity, $field)``

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The QueryBuilder
================
A ``QueryBuilder`` provides an API that is designed for
conditionally constructing a DQL query in several steps.
It provides a set of classes and methods that is able to
programmatically build queries, and also provides a fluent API.
This means that you can change between one methodology to the other
as you want, and also pick one if you prefer.
Constructing a new QueryBuilder object
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The same way you build a normal Query, you build a ``QueryBuilder``
object, just providing the correct method name. Here is an example
how to build a ``QueryBuilder`` object:
.. code-block:: php
<?php
// $em instanceof EntityManager
// example1: creating a QueryBuilder instance
$qb = $em->createQueryBuilder();
Once you have created an instance of QueryBuilder, it provides a
set of useful informative functions that you can use. One good
example is to inspect what type of object the ``QueryBuilder`` is.
.. code-block:: php
<?php
// $qb instanceof QueryBuilder
// example2: retrieving type of QueryBuilder
echo $qb->getType(); // Prints: 0
There're currently 3 possible return values for ``getType()``:
- ``QueryBuilder::SELECT``, which returns value 0
- ``QueryBuilder::DELETE``, returning value 1
- ``QueryBuilder::UPDATE``, which returns value 2
It is possible to retrieve the associated ``EntityManager`` of the
current ``QueryBuilder``, its DQL and also a ``Query`` object when
you finish building your DQL.
.. code-block:: php
<?php
// $qb instanceof QueryBuilder
// example3: retrieve the associated EntityManager
$em = $qb->getEntityManager();
// example4: retrieve the DQL string of what was defined in QueryBuilder
$dql = $qb->getDql();
// example5: retrieve the associated Query object with the processed DQL
$q = $qb->getQuery();
Internally, ``QueryBuilder`` works with a DQL cache to increase
performance. Any changes that may affect the generated DQL actually
modifies the state of ``QueryBuilder`` to a stage we call
STATE\_DIRTY. One ``QueryBuilder`` can be in two different states:
- ``QueryBuilder::STATE_CLEAN``, which means DQL haven't been
altered since last retrieval or nothing were added since its
instantiation
- ``QueryBuilder::STATE_DIRTY``, means DQL query must (and will)
be processed on next retrieval
Working with QueryBuilder
~~~~~~~~~~~~~~~~~~~~~~~~~
High level API methods
^^^^^^^^^^^^^^^^^^^^^^
To simplify even more the way you build a query in Doctrine, we can take
advantage of what we call Helper methods. For all base code, there
is a set of useful methods to simplify a programmer's life. To
illustrate how to work with them, here is the same example 6
re-written using ``QueryBuilder`` helper methods:
.. code-block:: php
<?php
// $qb instanceof QueryBuilder
$qb->select('u')
->from('User', 'u')
->where('u.id = ?1')
->orderBy('u.name', 'ASC');
``QueryBuilder`` helper methods are considered the standard way to
build DQL queries. Although it is supported, it should be avoided
to use string based queries and greatly encouraged to use
``$qb->expr()->*`` methods. Here is a converted example 8 to
suggested standard way to build queries:
.. code-block:: php
<?php
// $qb instanceof QueryBuilder
$qb->select(array('u')) // string 'u' is converted to array internally
->from('User', 'u')
->where($qb->expr()->orX(
$qb->expr()->eq('u.id', '?1'),
$qb->expr()->like('u.nickname', '?2')
))
->orderBy('u.surname', 'ASC'));
Here is a complete list of helper methods available in ``QueryBuilder``:
.. code-block:: php
<?php
class QueryBuilder
{
// Example - $qb->select('u')
// Example - $qb->select(array('u', 'p'))
// Example - $qb->select($qb->expr()->select('u', 'p'))
public function select($select = null);
// Example - $qb->delete('User', 'u')
public function delete($delete = null, $alias = null);
// Example - $qb->update('Group', 'g')
public function update($update = null, $alias = null);
// Example - $qb->set('u.firstName', $qb->expr()->literal('Arnold'))
// Example - $qb->set('u.numChilds', 'u.numChilds + ?1')
// Example - $qb->set('u.numChilds', $qb->expr()->sum('u.numChilds', '?1'))
public function set($key, $value);
// Example - $qb->from('Phonenumber', 'p')
public function from($from, $alias = null);
// Example - $qb->innerJoin('u.Group', 'g', Expr\Join::WITH, $qb->expr()->eq('u.status_id', '?1'))
// Example - $qb->innerJoin('u.Group', 'g', 'WITH', 'u.status = ?1')
public function innerJoin($join, $alias = null, $conditionType = null, $condition = null);
// Example - $qb->leftJoin('u.Phonenumbers', 'p', Expr\Join::WITH, $qb->expr()->eq('p.area_code', 55))
// Example - $qb->leftJoin('u.Phonenumbers', 'p', 'WITH', 'p.area_code = 55')
public function leftJoin($join, $alias = null, $conditionType = null, $condition = null);
// NOTE: ->where() overrides all previously set conditions
//
// Example - $qb->where('u.firstName = ?1', $qb->expr()->eq('u.surname', '?2'))
// Example - $qb->where($qb->expr()->andX($qb->expr()->eq('u.firstName', '?1'), $qb->expr()->eq('u.surname', '?2')))
// Example - $qb->where('u.firstName = ?1 AND u.surname = ?2')
public function where($where);
// Example - $qb->andWhere($qb->expr()->orX($qb->expr()->lte('u.age', 40), 'u.numChild = 0'))
public function andWhere($where);
// Example - $qb->orWhere($qb->expr()->between('u.id', 1, 10));
public function orWhere($where);
// NOTE: -> groupBy() overrides all previously set grouping conditions
//
// Example - $qb->groupBy('u.id')
public function groupBy($groupBy);
// Example - $qb->addGroupBy('g.name')
public function addGroupBy($groupBy);
// NOTE: -> having() overrides all previously set having conditions
//
// Example - $qb->having('u.salary >= ?1')
// Example - $qb->having($qb->expr()->gte('u.salary', '?1'))
public function having($having);
// Example - $qb->andHaving($qb->expr()->gt($qb->expr()->count('u.numChild'), 0))
public function andHaving($having);
// Example - $qb->orHaving($qb->expr()->lte('g.managerLevel', '100'))
public function orHaving($having);
// NOTE: -> orderBy() overrides all previously set ordering conditions
//
// Example - $qb->orderBy('u.surname', 'DESC')
public function orderBy($sort, $order = null);
// Example - $qb->addOrderBy('u.firstName')
public function addOrderBy($sort, $order = null); // Default $order = 'ASC'
}
Binding parameters to your query
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Doctrine supports dynamic binding of parameters to your query,
similar to preparing queries. You can use both strings and numbers
as placeholders, although both have a slightly different syntax.
Additionally, you must make your choice: Mixing both styles is not
allowed. Binding parameters can simply be achieved as follows:
.. code-block:: php
<?php
// $qb instanceof QueryBuilder
$qb->select('u')
->from('User u')
->where('u.id = ?1')
->orderBy('u.name', 'ASC');
->setParameter(1, 100); // Sets ?1 to 100, and thus we will fetch a user with u.id = 100
You are not forced to enumerate your placeholders as the
alternative syntax is available:
.. code-block:: php
<?php
// $qb instanceof QueryBuilder
$qb->select('u')
->from('User u')
->where('u.id = :identifier')
->orderBy('u.name ASC');
->setParameter('identifier', 100); // Sets :identifier to 100, and thus we will fetch a user with u.id = 100
Note that numeric placeholders start with a ? followed by a number
while the named placeholders start with a : followed by a string.
Calling ``setParameter()`` automatically infers which type you are setting as
value. This works for integers, arrays of strings/integers, DateTime instances
and for managed entities. If you want to set a type explicitly you can call
the third argument to ``setParameter()`` explicitly. It accepts either a PDO
type or a DBAL Type name for conversion.
If you've got several parameters to bind to your query, you can
also use setParameters() instead of setParameter() with the
following syntax:
.. code-block:: php
<?php
// $qb instanceof QueryBuilder
// Query here...
$qb->setParameters(array(1 => 'value for ?1', 2 => 'value for ?2'));
Getting already bound parameters is easy - simply use the above
mentioned syntax with "getParameter()" or "getParameters()":
.. code-block:: php
<?php
// $qb instanceof QueryBuilder
// See example above
$params = $qb->getParameters();
// $params instanceof \Doctrine\Common\Collections\ArrayCollection
// Equivalent to
$param = $qb->getParameter(1);
// $param instanceof \Doctrine\ORM\Query\Parameter
Note: If you try to get a parameter that was not bound yet,
getParameter() simply returns NULL.
The API of a Query Parameter is:
.. code-block:: php
namespace Doctrine\ORM\Query;
class Parameter
{
public function getName();
public function getValue();
public function getType();
public function setValue($value, $type = null);
}
Limiting the Result
^^^^^^^^^^^^^^^^^^^
To limit a result the query builder has some methods in common with
the Query object which can be retrieved from ``EntityManager#createQuery()``.
.. code-block:: php
<?php
// $qb instanceof QueryBuilder
$offset = (int)$_GET['offset'];
$limit = (int)$_GET['limit'];
$qb->add('select', 'u')
->add('from', 'User u')
->add('orderBy', 'u.name ASC')
->setFirstResult( $offset )
->setMaxResults( $limit );
Executing a Query
^^^^^^^^^^^^^^^^^
The QueryBuilder is a builder object only, it has no means of actually
executing the Query. Additionally a set of parameters such as query hints
cannot be set on the QueryBuilder itself. This is why you always have to convert
a querybuilder instance into a Query object:
.. code-block:: php
<?php
// $qb instanceof QueryBuilder
$query = $qb->getQuery();
// Set additional Query options
$query->setQueryHint('foo', 'bar');
$query->useResultCache('my_cache_id');
// Execute Query
$result = $query->getResult();
$single = $query->getSingleResult();
$array = $query->getArrayResult();
$scalar = $query->getScalarResult();
$singleScalar = $query->getSingleScalarResult();
The Expr class
^^^^^^^^^^^^^^
To workaround some of the issues that ``add()`` method may cause,
Doctrine created a class that can be considered as a helper for
building expressions. This class is called ``Expr``, which provides a
set of useful methods to help build expressions:
.. code-block:: php
<?php
// $qb instanceof QueryBuilder
// example8: QueryBuilder port of: "SELECT u FROM User u WHERE u.id = ? OR u.nickname LIKE ? ORDER BY u.surname DESC" using Expr class
$qb->add('select', new Expr\Select(array('u')))
->add('from', new Expr\From('User', 'u'))
->add('where', $qb->expr()->orX(
$qb->expr()->eq('u.id', '?1'),
$qb->expr()->like('u.nickname', '?2')
))
->add('orderBy', new Expr\OrderBy('u.name', 'ASC'));
Although it still sounds complex, the ability to programmatically
create conditions are the main feature of ``Expr``. Here it is a
complete list of supported helper methods available:
.. code-block:: php
<?php
class Expr
{
/** Conditional objects **/
// Example - $qb->expr()->andX($cond1 [, $condN])->add(...)->...
public function andX($x = null); // Returns Expr\AndX instance
// Example - $qb->expr()->orX($cond1 [, $condN])->add(...)->...
public function orX($x = null); // Returns Expr\OrX instance
/** Comparison objects **/
// Example - $qb->expr()->eq('u.id', '?1') => u.id = ?1
public function eq($x, $y); // Returns Expr\Comparison instance
// Example - $qb->expr()->neq('u.id', '?1') => u.id <> ?1
public function neq($x, $y); // Returns Expr\Comparison instance
// Example - $qb->expr()->lt('u.id', '?1') => u.id < ?1
public function lt($x, $y); // Returns Expr\Comparison instance
// Example - $qb->expr()->lte('u.id', '?1') => u.id <= ?1
public function lte($x, $y); // Returns Expr\Comparison instance
// Example - $qb->expr()->gt('u.id', '?1') => u.id > ?1
public function gt($x, $y); // Returns Expr\Comparison instance
// Example - $qb->expr()->gte('u.id', '?1') => u.id >= ?1
public function gte($x, $y); // Returns Expr\Comparison instance
// Example - $qb->expr()->isNull('u.id') => u.id IS NULL
public function isNull($x); // Returns string
// Example - $qb->expr()->isNotNull('u.id') => u.id IS NOT NULL
public function isNotNull($x); // Returns string
/** Arithmetic objects **/
// Example - $qb->expr()->prod('u.id', '2') => u.id * 2
public function prod($x, $y); // Returns Expr\Math instance
// Example - $qb->expr()->diff('u.id', '2') => u.id - 2
public function diff($x, $y); // Returns Expr\Math instance
// Example - $qb->expr()->sum('u.id', '2') => u.id + 2
public function sum($x, $y); // Returns Expr\Math instance
// Example - $qb->expr()->quot('u.id', '2') => u.id / 2
public function quot($x, $y); // Returns Expr\Math instance
/** Pseudo-function objects **/
// Example - $qb->expr()->exists($qb2->getDql())
public function exists($subquery); // Returns Expr\Func instance
// Example - $qb->expr()->all($qb2->getDql())
public function all($subquery); // Returns Expr\Func instance
// Example - $qb->expr()->some($qb2->getDql())
public function some($subquery); // Returns Expr\Func instance
// Example - $qb->expr()->any($qb2->getDql())
public function any($subquery); // Returns Expr\Func instance
// Example - $qb->expr()->not($qb->expr()->eq('u.id', '?1'))
public function not($restriction); // Returns Expr\Func instance
// Example - $qb->expr()->in('u.id', array(1, 2, 3))
// Make sure that you do NOT use something similar to $qb->expr()->in('value', array('stringvalue')) as this will cause Doctrine to throw an Exception.
// Instead, use $qb->expr()->in('value', array('?1')) and bind your parameter to ?1 (see section above)
public function in($x, $y); // Returns Expr\Func instance
// Example - $qb->expr()->notIn('u.id', '2')
public function notIn($x, $y); // Returns Expr\Func instance
// Example - $qb->expr()->like('u.firstname', $qb->expr()->literal('Gui%'))
public function like($x, $y); // Returns Expr\Comparison instance
// Example - $qb->expr()->between('u.id', '1', '10')
public function between($val, $x, $y); // Returns Expr\Func
/** Function objects **/
// Example - $qb->expr()->trim('u.firstname')
public function trim($x); // Returns Expr\Func
// Example - $qb->expr()->concat('u.firstname', $qb->expr()->concat($qb->expr()->literal(' '), 'u.lastname'))
public function concat($x, $y); // Returns Expr\Func
// Example - $qb->expr()->substr('u.firstname', 0, 1)
public function substr($x, $from, $len); // Returns Expr\Func
// Example - $qb->expr()->lower('u.firstname')
public function lower($x); // Returns Expr\Func
// Example - $qb->expr()->upper('u.firstname')
public function upper($x); // Returns Expr\Func
// Example - $qb->expr()->length('u.firstname')
public function length($x); // Returns Expr\Func
// Example - $qb->expr()->avg('u.age')
public function avg($x); // Returns Expr\Func
// Example - $qb->expr()->max('u.age')
public function max($x); // Returns Expr\Func
// Example - $qb->expr()->min('u.age')
public function min($x); // Returns Expr\Func
// Example - $qb->expr()->abs('u.currentBalance')
public function abs($x); // Returns Expr\Func
// Example - $qb->expr()->sqrt('u.currentBalance')
public function sqrt($x); // Returns Expr\Func
// Example - $qb->expr()->count('u.firstname')
public function count($x); // Returns Expr\Func
// Example - $qb->expr()->countDistinct('u.surname')
public function countDistinct($x); // Returns Expr\Func
}
Low Level API
^^^^^^^^^^^^^
Now we have describe the low level (thought of as the
hardcore method) of creating queries. It may be useful to work at
this level for optimization purposes, but most of the time it is
preferred to work at a higher level of abstraction.
All helper methods in ``QueryBuilder`` actually rely on a single
one: ``add()``. This method is responsible of building every piece
of DQL. It takes 3 parameters: ``$dqlPartName``, ``$dqlPart`` and
``$append`` (default=false)
- ``$dqlPartName``: Where the ``$dqlPart`` should be placed.
Possible values: select, from, where, groupBy, having, orderBy
- ``$dqlPart``: What should be placed in ``$dqlPartName``. Accepts
a string or any instance of ``Doctrine\ORM\Query\Expr\*``
- ``$append``: Optional flag (default=false) if the ``$dqlPart``
should override all previously defined items in ``$dqlPartName`` or
not (no effect on the ``where`` and ``having`` DQL query parts,
which always override all previously defined items)
-
.. code-block:: php
<?php
// $qb instanceof QueryBuilder
// example6: how to define: "SELECT u FROM User u WHERE u.id = ? ORDER BY u.name ASC" using QueryBuilder string support
$qb->add('select', 'u')
->add('from', 'User u')
->add('where', 'u.id = ?1')
->add('orderBy', 'u.name ASC');
Expr\* classes
^^^^^^^^^^^^^^
When you call ``add()`` with string, it internally evaluates to an
instance of ``Doctrine\ORM\Query\Expr\Expr\*`` class. Here is the
same query of example 6 written using
``Doctrine\ORM\Query\Expr\Expr\*`` classes:
.. code-block:: php
<?php
// $qb instanceof QueryBuilder
// example7: how to define: "SELECT u FROM User u WHERE u.id = ? ORDER BY u.name ASC" using QueryBuilder using Expr\* instances
$qb->add('select', new Expr\Select(array('u')))
->add('from', new Expr\From('User', 'u'))
->add('where', new Expr\Comparison('u.id', '=', '?1'))
->add('orderBy', new Expr\OrderBy('u.name', 'ASC'));
Of course this is the hardest way to build a DQL query in Doctrine.
To simplify some of these efforts, we introduce what we call as
``Expr`` helper class.

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Tools
=====
Doctrine Console
----------------
The Doctrine Console is a Command Line Interface tool for
simplifying common tasks during the development of a project that
uses Doctrine 2.
Take a look at the :doc:`Configuration <configuration>` for more
information how to setup the console command.
Getting Help
~~~~~~~~~~~~
Type ``doctrine`` on the command line and you should see an
overview of the available commands or use the --help flag to get
information on the available commands. If you want to know more
about the use of generate entities for example, you can call:
.. code-block:: php
doctrine orm:generate-entities --help
Configuration (PEAR)
~~~~~~~~~~~~~~~~~~~~
Whenever the ``doctrine`` command line tool is invoked, it can
access all Commands that were registered by developer. There is no
auto-detection mechanism at work. The Doctrine binary
already registers all the commands that currently ship with
Doctrine DBAL and ORM. If you want to use additional commands you
have to register them yourself.
All the commands of the Doctrine Console require access to the EntityManager
or DBAL Connection. You have to inject them into the console application
using so called Helper-Sets. This requires either the ``db``
or the ``em`` helpers to be defined in order to work correctly.
Whenever you invoke the Doctrine binary the current folder is searched for a
``cli-config.php`` file. This file contains the project specific configuration:
.. code-block:: php
<?php
$helperSet = new \Symfony\Component\Console\Helper\HelperSet(array(
'db' => new \Doctrine\DBAL\Tools\Console\Helper\ConnectionHelper($conn)
));
$cli->setHelperSet($helperSet);
When dealing with the ORM package, the EntityManagerHelper is
required:
.. code-block:: php
<?php
$helperSet = new \Symfony\Component\Console\Helper\HelperSet(array(
'em' => new \Doctrine\ORM\Tools\Console\Helper\EntityManagerHelper($em)
));
$cli->setHelperSet($helperSet);
The HelperSet instance has to be generated in a separate file (i.e.
``cli-config.php``) that contains typical Doctrine bootstrap code
and predefines the needed HelperSet attributes mentioned above. A
sample ``cli-config.php`` file looks as follows:
.. code-block:: php
<?php
// cli-config.php
require_once 'my_bootstrap.php';
// Any way to access the EntityManager from your application
$em = GetMyEntityManager();
$helperSet = new \Symfony\Component\Console\Helper\HelperSet(array(
'db' => new \Doctrine\DBAL\Tools\Console\Helper\ConnectionHelper($em->getConnection()),
'em' => new \Doctrine\ORM\Tools\Console\Helper\EntityManagerHelper($em)
));
It is important to define a correct HelperSet that Doctrine binary
script will ultimately use. The Doctrine Binary will automatically
find the first instance of HelperSet in the global variable
namespace and use this.
.. note::
You have to adjust this snippet for your specific application or framework
and use their facilities to access the Doctrine EntityManager and
Connection Resources.
Configuration (Non-PEAR)
~~~~~~~~~~~~~~~~~~~~~~~~
If you do not use a PEAR installation of Doctrine you have to define your own
Doctrine binary. Put this file into the application root and invoke it from
there whenever you want to access the Doctrine console.
.. code-block:: php
<?php
// doctrine.php - Put in your application root
use Doctrine\DBAL\Tools\Console\Helper\ConnectionHelper;
use Doctrine\ORM\Tools\Console\Helper\EntityManagerHelper;
use Doctrine\ORM\Tools\Console\ConsoleRunner;
use Symfony\Component\Console\Helper\HelperSet;
require_once 'my_bootstrap.php';
// Any way to access the EntityManager from your application
$em = GetMyEntityManager();
$helperSet = new HelperSet(array(
'db' => new ConnectionHelper($em->getConnection()),
'em' => new EntityManagerHelper($em)
));
ConsoleRunner::run($helperSet);
Command Overview
~~~~~~~~~~~~~~~~
The following Commands are currently available:
- ``help`` Displays help for a command (?)
- ``list`` Lists commands
- ``dbal:import`` Import SQL file(s) directly to Database.
- ``dbal:run-sql`` Executes arbitrary SQL directly from the
command line.
- ``orm:clear-cache:metadata`` Clear all metadata cache of the
various cache drivers.
- ``orm:clear-cache:query`` Clear all query cache of the various
cache drivers.
- ``orm:clear-cache:result`` Clear result cache of the various
cache drivers.
- ``orm:convert-d1-schema`` Converts Doctrine 1.X schema into a
Doctrine 2.X schema.
- ``orm:convert-mapping`` Convert mapping information between
supported formats.
- ``orm:ensure-production-settings`` Verify that Doctrine is
properly configured for a production environment.
- ``orm:generate-entities`` Generate entity classes and method
stubs from your mapping information.
- ``orm:generate-proxies`` Generates proxy classes for entity
classes.
- ``orm:generate-repositories`` Generate repository classes from
your mapping information.
- ``orm:run-dql`` Executes arbitrary DQL directly from the command
line.
- ``orm:schema-tool:create`` Processes the schema and either
create it directly on EntityManager Storage Connection or generate
the SQL output.
- ``orm:schema-tool:drop`` Processes the schema and either drop
the database schema of EntityManager Storage Connection or generate
the SQL output.
- ``orm:schema-tool:update`` Processes the schema and either
update the database schema of EntityManager Storage Connection or
generate the SQL output.
Database Schema Generation
--------------------------
.. note::
SchemaTool can do harm to your database. It will drop or alter
tables, indexes, sequences and such. Please use this tool with
caution in development and not on a production server. It is meant
for helping you develop your Database Schema, but NOT with
migrating schema from A to B in production. A safe approach would
be generating the SQL on development server and saving it into SQL
Migration files that are executed manually on the production
server.
SchemaTool assumes your Doctrine Project uses the given database on
its own. Update and Drop commands will mess with other tables if
they are not related to the current project that is using Doctrine.
Please be careful!
To generate your database schema from your Doctrine mapping files
you can use the ``SchemaTool`` class or the ``schema-tool`` Console
Command.
When using the SchemaTool class directly, create your schema using
the ``createSchema()`` method. First create an instance of the
``SchemaTool`` and pass it an instance of the ``EntityManager``
that you want to use to create the schema. This method receives an
array of ``ClassMetadataInfo`` instances.
.. code-block:: php
<?php
$tool = new \Doctrine\ORM\Tools\SchemaTool($em);
$classes = array(
$em->getClassMetadata('Entities\User'),
$em->getClassMetadata('Entities\Profile')
);
$tool->createSchema($classes);
To drop the schema you can use the ``dropSchema()`` method.
.. code-block:: php
<?php
$tool->dropSchema($classes);
This drops all the tables that are currently used by your metadata
model. When you are changing your metadata a lot during development
you might want to drop the complete database instead of only the
tables of the current model to clean up with orphaned tables.
.. code-block:: php
<?php
$tool->dropSchema($classes, \Doctrine\ORM\Tools\SchemaTool::DROP_DATABASE);
You can also use database introspection to update your schema
easily with the ``updateSchema()`` method. It will compare your
existing database schema to the passed array of
``ClassMetdataInfo`` instances.
.. code-block:: php
<?php
$tool->updateSchema($classes);
If you want to use this functionality from the command line you can
use the ``schema-tool`` command.
To create the schema use the ``create`` command:
.. code-block:: php
$ php doctrine orm:schema-tool:create
To drop the schema use the ``drop`` command:
.. code-block:: php
$ php doctrine orm:schema-tool:drop
If you want to drop and then recreate the schema then use both
options:
.. code-block:: php
$ php doctrine orm:schema-tool:drop
$ php doctrine orm:schema-tool:create
As you would think, if you want to update your schema use the
``update`` command:
.. code-block:: php
$ php doctrine orm:schema-tool:update
All of the above commands also accept a ``--dump-sql`` option that
will output the SQL for the ran operation.
.. code-block:: php
$ php doctrine orm:schema-tool:create --dump-sql
Before using the orm:schema-tool commands, remember to configure
your cli-config.php properly.
.. note::
When using the Annotation Mapping Driver you have to either setup
your autoloader in the cli-config.php correctly to find all the
entities, or you can use the second argument of the
``EntityManagerHelper`` to specify all the paths of your entities
(or mapping files), i.e.
``new \Doctrine\ORM\Tools\Console\Helper\EntityManagerHelper($em, $mappingPaths);``
Entity Generation
-----------------
Generate entity classes and method stubs from your mapping information.
.. code-block:: php
$ php doctrine orm:generate-entities
$ php doctrine orm:generate-entities --update-entities
$ php doctrine orm:generate-entities --regenerate-entities
This command is not suited for constant usage. It is a little helper and does
not support all the mapping edge cases very well. You still have to put work
in your entities after using this command.
It is possible to use the EntityGenerator on code that you have already written. It will
not be lost. The EntityGenerator will only append new code to your
file and will not delete the old code. However this approach may still be prone
to error and we suggest you use code repositories such as GIT or SVN to make
backups of your code.
It makes sense to generate the entity code if you are using entities as Data
Access Objects only and don't put much additional logic on them. If you are
however putting much more logic on the entities you should refrain from using
the entity-generator and code your entities manually.
.. note::
Even if you specified Inheritance options in your
XML or YAML Mapping files the generator cannot generate the base and
child classes for you correctly, because it doesn't know which
class is supposed to extend which. You have to adjust the entity
code manually for inheritance to work!
Convert Mapping Information
---------------------------
Convert mapping information between supported formats.
This is an **execute one-time** command. It should not be necessary for
you to call this method multiple times, especially when using the ``--from-database``
flag.
Converting an existing database schema into mapping files only solves about 70-80%
of the necessary mapping information. Additionally the detection from an existing
database cannot detect inverse associations, inheritance types,
entities with foreign keys as primary keys and many of the
semantical operations on associations such as cascade.
.. note::
There is no need to convert YAML or XML mapping files to annotations
every time you make changes. All mapping drivers are first class citizens
in Doctrine 2 and can be used as runtime mapping for the ORM. See the
docs on XML and YAML Mapping for an example how to register this metadata
drivers as primary mapping source.
To convert some mapping information between the various supported
formats you can use the ``ClassMetadataExporter`` to get exporter
instances for the different formats:
.. code-block:: php
<?php
$cme = new \Doctrine\ORM\Tools\Export\ClassMetadataExporter();
Once you have a instance you can use it to get an exporter. For
example, the yml exporter:
.. code-block:: php
<?php
$exporter = $cme->getExporter('yml', '/path/to/export/yml');
Now you can export some ``ClassMetadata`` instances:
.. code-block:: php
<?php
$classes = array(
$em->getClassMetadata('Entities\User'),
$em->getClassMetadata('Entities\Profile')
);
$exporter->setMetadata($classes);
$exporter->export();
This functionality is also available from the command line to
convert your loaded mapping information to another format. The
``orm:convert-mapping`` command accepts two arguments, the type to
convert to and the path to generate it:
.. code-block:: php
$ php doctrine orm:convert-mapping xml /path/to/mapping-path-converted-to-xml
Reverse Engineering
-------------------
You can use the ``DatabaseDriver`` to reverse engineer a database
to an array of ``ClassMetadataInfo`` instances and generate YAML,
XML, etc. from them.
.. note::
Reverse Engineering is a **one-time** process that can get you started with a project.
Converting an existing database schema into mapping files only detects about 70-80%
of the necessary mapping information. Additionally the detection from an existing
database cannot detect inverse associations, inheritance types,
entities with foreign keys as primary keys and many of the
semantical operations on associations such as cascade.
First you need to retrieve the metadata instances with the
``DatabaseDriver``:
.. code-block:: php
<?php
$em->getConfiguration()->setMetadataDriverImpl(
new \Doctrine\ORM\Mapping\Driver\DatabaseDriver(
$em->getConnection()->getSchemaManager()
)
);
$cmf = new DisconnectedClassMetadataFactory();
$cmf->setEntityManager($em);
$metadata = $cmf->getAllMetadata();
Now you can get an exporter instance and export the loaded metadata
to yml:
.. code-block:: php
<?php
$exporter = $cme->getExporter('yml', '/path/to/export/yml');
$exporter->setMetadata($metadata);
$exporter->export();
You can also reverse engineer a database using the
``orm:convert-mapping`` command:
.. code-block:: php
$ php doctrine orm:convert-mapping --from-database yml /path/to/mapping-path-converted-to-yml
.. note::
Reverse Engineering is not always working perfectly
depending on special cases. It will only detect Many-To-One
relations (even if they are One-To-One) and will try to create
entities from Many-To-Many tables. It also has problems with naming
of foreign keys that have multiple column names. Any Reverse
Engineered Database-Schema needs considerable manual work to become
a useful domain model.
Runtime vs Development Mapping Validation
-----------------------------------------
For performance reasons Doctrine 2 has to skip some of the
necessary validation of metadata mappings. You have to execute
this validation in your development workflow to verify the
associations are correctly defined.
You can either use the Doctrine Command Line Tool:
.. code-block:: php
doctrine orm:validate-schema
Or you can trigger the validation manually:
.. code-block:: php
<?php
use Doctrine\ORM\Tools\SchemaValidator;
$validator = new SchemaValidator($entityManager);
$errors = $validator->validateMapping();
if (count($errors) > 0) {
// Lots of errors!
echo implode("\n\n", $errors);
}
If the mapping is invalid the errors array contains a positive
number of elements with error messages.
.. warning::
One mapping option that is not validated is the use of the referenced column name.
It has to point to the equivalent primary key otherwise Doctrine will not work.
.. note::
One common error is to use a backlash in front of the
fully-qualified class-name. Whenever a FQCN is represented inside a
string (such as in your mapping definitions) you have to drop the
prefix backslash. PHP does this with ``get_class()`` or Reflection
methods for backwards compatibility reasons.
Adding own commands
-------------------
You can also add your own commands on-top of the Doctrine supported
tools if you are using a manually built (Non-PEAR) binary.
To include a new command on Doctrine Console, you need to do modify the
``doctrine.php`` file a little:
.. code-block:: php
<?php
// doctrine.php
use Symfony\Component\Console\Helper\Application;
// as before ...
// replace the ConsoleRunner::run() statement with:
$cli = new Application('Doctrine Command Line Interface', \Doctrine\ORM\Version::VERSION);
$cli->setCatchExceptions(true);
$cli->setHelperSet($helperSet);
// Register All Doctrine Commands
ConsoleRunner::addCommands($cli);
// Register your own command
$cli->addCommand(new \MyProject\Tools\Console\Commands\MyCustomCommand);
// Runs console application
$cli->run();
Additionally, include multiple commands (and overriding previously
defined ones) is possible through the command:
.. code-block:: php
<?php
$cli->addCommands(array(
new \MyProject\Tools\Console\Commands\MyCustomCommand(),
new \MyProject\Tools\Console\Commands\SomethingCommand(),
new \MyProject\Tools\Console\Commands\AnotherCommand(),
new \MyProject\Tools\Console\Commands\OneMoreCommand(),
));

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Transactions and Concurrency
============================
Transaction Demarcation
-----------------------
Transaction demarcation is the task of defining your transaction
boundaries. Proper transaction demarcation is very important
because if not done properly it can negatively affect the
performance of your application. Many databases and database
abstraction layers like PDO by default operate in auto-commit mode,
which means that every single SQL statement is wrapped in a small
transaction. Without any explicit transaction demarcation from your
side, this quickly results in poor performance because transactions
are not cheap.
For the most part, Doctrine 2 already takes care of proper
transaction demarcation for you: All the write operations
(INSERT/UPDATE/DELETE) are queued until ``EntityManager#flush()``
is invoked which wraps all of these changes in a single
transaction.
However, Doctrine 2 also allows (and encourages) you to take over
and control transaction demarcation yourself.
These are two ways to deal with transactions when using the
Doctrine ORM and are now described in more detail.
Approach 1: Implicitly
~~~~~~~~~~~~~~~~~~~~~~
The first approach is to use the implicit transaction handling
provided by the Doctrine ORM EntityManager. Given the following
code snippet, without any explicit transaction demarcation:
.. code-block:: php
<?php
// $em instanceof EntityManager
$user = new User;
$user->setName('George');
$em->persist($user);
$em->flush();
Since we do not do any custom transaction demarcation in the above
code, ``EntityManager#flush()`` will begin and commit/rollback a
transaction. This behavior is made possible by the aggregation of
the DML operations by the Doctrine ORM and is sufficient if all the
data manipulation that is part of a unit of work happens through
the domain model and thus the ORM.
Approach 2: Explicitly
~~~~~~~~~~~~~~~~~~~~~~
The explicit alternative is to use the ``Doctrine\DBAL\Connection``
API directly to control the transaction boundaries. The code then
looks like this:
.. code-block:: php
<?php
// $em instanceof EntityManager
$em->getConnection()->beginTransaction(); // suspend auto-commit
try {
//... do some work
$user = new User;
$user->setName('George');
$em->persist($user);
$em->flush();
$em->getConnection()->commit();
} catch (Exception $e) {
$em->getConnection()->rollback();
$em->close();
throw $e;
}
Explicit transaction demarcation is required when you want to
include custom DBAL operations in a unit of work or when you want
to make use of some methods of the ``EntityManager`` API that
require an active transaction. Such methods will throw a
``TransactionRequiredException`` to inform you of that
requirement.
A more convenient alternative for explicit transaction demarcation
is the use of provided control abstractions in the form of
``Connection#transactional($func)`` and
``EntityManager#transactional($func)``. When used, these control
abstractions ensure that you never forget to rollback the
transaction or close the ``EntityManager``, apart from the obvious
code reduction. An example that is functionally equivalent to the
previously shown code looks as follows:
.. code-block:: php
<?php
// $em instanceof EntityManager
$em->transactional(function($em) {
//... do some work
$user = new User;
$user->setName('George');
$em->persist($user);
});
The difference between ``Connection#transactional($func)`` and
``EntityManager#transactional($func)`` is that the latter
abstraction flushes the ``EntityManager`` prior to transaction
commit and also closes the ``EntityManager`` properly when an
exception occurs (in addition to rolling back the transaction).
Exception Handling
~~~~~~~~~~~~~~~~~~
When using implicit transaction demarcation and an exception occurs
during ``EntityManager#flush()``, the transaction is automatically
rolled back and the ``EntityManager`` closed.
When using explicit transaction demarcation and an exception
occurs, the transaction should be rolled back immediately and the
``EntityManager`` closed by invoking ``EntityManager#close()`` and
subsequently discarded, as demonstrated in the example above. This
can be handled elegantly by the control abstractions shown earlier.
Note that when catching ``Exception`` you should generally re-throw
the exception. If you intend to recover from some exceptions, catch
them explicitly in earlier catch blocks (but do not forget to
rollback the transaction and close the ``EntityManager`` there as
well). All other best practices of exception handling apply
similarly (i.e. either log or re-throw, not both, etc.).
As a result of this procedure, all previously managed or removed
instances of the ``EntityManager`` become detached. The state of
the detached objects will be the state at the point at which the
transaction was rolled back. The state of the objects is in no way
rolled back and thus the objects are now out of synch with the
database. The application can continue to use the detached objects,
knowing that their state is potentially no longer accurate.
If you intend to start another unit of work after an exception has
occurred you should do that with a new ``EntityManager``.
Locking Support
---------------
Doctrine 2 offers support for Pessimistic- and Optimistic-locking
strategies natively. This allows to take very fine-grained control
over what kind of locking is required for your Entities in your
application.
Optimistic Locking
~~~~~~~~~~~~~~~~~~
Database transactions are fine for concurrency control during a
single request. However, a database transaction should not span
across requests, the so-called "user think time". Therefore a
long-running "business transaction" that spans multiple requests
needs to involve several database transactions. Thus, database
transactions alone can no longer control concurrency during such a
long-running business transaction. Concurrency control becomes the
partial responsibility of the application itself.
Doctrine has integrated support for automatic optimistic locking
via a version field. In this approach any entity that should be
protected against concurrent modifications during long-running
business transactions gets a version field that is either a simple
number (mapping type: integer) or a timestamp (mapping type:
datetime). When changes to such an entity are persisted at the end
of a long-running conversation the version of the entity is
compared to the version in the database and if they don't match, an
``OptimisticLockException`` is thrown, indicating that the entity
has been modified by someone else already.
You designate a version field in an entity as follows. In this
example we'll use an integer.
.. code-block:: php
<?php
class User
{
// ...
/** @Version @Column(type="integer") */
private $version;
// ...
}
Alternatively a datetime type can be used (which maps to an SQL
timestamp or datetime):
.. code-block:: php
<?php
class User
{
// ...
/** @Version @Column(type="datetime") */
private $version;
// ...
}
Version numbers (not timestamps) should however be preferred as
they can not potentially conflict in a highly concurrent
environment, unlike timestamps where this is a possibility,
depending on the resolution of the timestamp on the particular
database platform.
When a version conflict is encountered during
``EntityManager#flush()``, an ``OptimisticLockException`` is thrown
and the active transaction rolled back (or marked for rollback).
This exception can be caught and handled. Potential responses to an
OptimisticLockException are to present the conflict to the user or
to refresh or reload objects in a new transaction and then retrying
the transaction.
With PHP promoting a share-nothing architecture, the time between
showing an update form and actually modifying the entity can in the
worst scenario be as long as your applications session timeout. If
changes happen to the entity in that time frame you want to know
directly when retrieving the entity that you will hit an optimistic
locking exception:
You can always verify the version of an entity during a request
either when calling ``EntityManager#find()``:
.. code-block:: php
<?php
use Doctrine\DBAL\LockMode;
use Doctrine\ORM\OptimisticLockException;
$theEntityId = 1;
$expectedVersion = 184;
try {
$entity = $em->find('User', $theEntityId, LockMode::OPTIMISTIC, $expectedVersion);
// do the work
$em->flush();
} catch(OptimisticLockException $e) {
echo "Sorry, but someone else has already changed this entity. Please apply the changes again!";
}
Or you can use ``EntityManager#lock()`` to find out:
.. code-block:: php
<?php
use Doctrine\DBAL\LockMode;
use Doctrine\ORM\OptimisticLockException;
$theEntityId = 1;
$expectedVersion = 184;
$entity = $em->find('User', $theEntityId);
try {
// assert version
$em->lock($entity, LockMode::OPTIMISTIC, $expectedVersion);
} catch(OptimisticLockException $e) {
echo "Sorry, but someone else has already changed this entity. Please apply the changes again!";
}
Important Implementation Notes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
You can easily get the optimistic locking workflow wrong if you
compare the wrong versions. Say you have Alice and Bob editing a
hypothetical blog post:
- Alice reads the headline of the blog post being "Foo", at
optimistic lock version 1 (GET Request)
- Bob reads the headline of the blog post being "Foo", at
optimistic lock version 1 (GET Request)
- Bob updates the headline to "Bar", upgrading the optimistic lock
version to 2 (POST Request of a Form)
- Alice updates the headline to "Baz", ... (POST Request of a
Form)
Now at the last stage of this scenario the blog post has to be read
again from the database before Alice's headline can be applied. At
this point you will want to check if the blog post is still at
version 1 (which it is not in this scenario).
Using optimistic locking correctly, you *have* to add the version
as an additional hidden field (or into the SESSION for more
safety). Otherwise you cannot verify the version is still the one
being originally read from the database when Alice performed her
GET request for the blog post. If this happens you might see lost
updates you wanted to prevent with Optimistic Locking.
See the example code, The form (GET Request):
.. code-block:: php
<?php
$post = $em->find('BlogPost', 123456);
echo '<input type="hidden" name="id" value="' . $post->getId() . '" />';
echo '<input type="hidden" name="version" value="' . $post->getCurrentVersion() . '" />';
And the change headline action (POST Request):
.. code-block:: php
<?php
$postId = (int)$_GET['id'];
$postVersion = (int)$_GET['version'];
$post = $em->find('BlogPost', $postId, \Doctrine\DBAL\LockMode::OPTIMISTIC, $postVersion);
Pessimistic Locking
~~~~~~~~~~~~~~~~~~~
Doctrine 2 supports Pessimistic Locking at the database level. No
attempt is being made to implement pessimistic locking inside
Doctrine, rather vendor-specific and ANSI-SQL commands are used to
acquire row-level locks. Every Entity can be part of a pessimistic
lock, there is no special metadata required to use this feature.
However for Pessimistic Locking to work you have to disable the
Auto-Commit Mode of your Database and start a transaction around
your pessimistic lock use-case using the "Approach 2: Explicit
Transaction Demarcation" described above. Doctrine 2 will throw an
Exception if you attempt to acquire an pessimistic lock and no
transaction is running.
Doctrine 2 currently supports two pessimistic lock modes:
- Pessimistic Write
(``Doctrine\DBAL\LockMode::PESSIMISTIC_WRITE``), locks the
underlying database rows for concurrent Read and Write Operations.
- Pessimistic Read (``Doctrine\DBAL\LockMode::PESSIMISTIC_READ``),
locks other concurrent requests that attempt to update or lock rows
in write mode.
You can use pessimistic locks in three different scenarios:
1. Using
``EntityManager#find($className, $id, \Doctrine\DBAL\LockMode::PESSIMISTIC_WRITE)``
or
``EntityManager#find($className, $id, \Doctrine\DBAL\LockMode::PESSIMISTIC_READ)``
2. Using
``EntityManager#lock($entity, \Doctrine\DBAL\LockMode::PESSIMISTIC_WRITE)``
or
``EntityManager#lock($entity, \Doctrine\DBAL\LockMode::PESSIMISTIC_READ)``
3. Using
``Query#setLockMode(\Doctrine\DBAL\LockMode::PESSIMISTIC_WRITE)``
or
``Query#setLockMode(\Doctrine\DBAL\LockMode::PESSIMISTIC_READ)``

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Association Updates: Owning Side and Inverse Side
=================================================
When mapping bidirectional associations it is important to
understand the concept of the owning and inverse sides. The
following general rules apply:
- Relationships may be bidirectional or unidirectional.
- A bidirectional relationship has both an owning side and an inverse side
- A unidirectional relationship only has an owning side.
- Doctrine will **only** check the owning side of an association for changes.
Bidirectional Associations
--------------------------
The following rules apply to **bidirectional** associations:
- The inverse side has to use the ``mappedBy`` attribute of the OneToOne,
OneToMany, or ManyToMany mapping declaration. The mappedBy
attribute contains the name of the association-field on the owning side.
- The owning side has to use the ``inversedBy`` attribute of the
OneToOne, ManyToOne, or ManyToMany mapping declaration.
The inversedBy attribute contains the name of the association-field
on the inverse-side.
- ManyToOne is always the owning side of a bidirectional association.
- OneToMany is always the inverse side of a bidirectional association.
- The owning side of a OneToOne association is the entity with the table
containing the foreign key.
- You can pick the owning side of a many-to-many association yourself.
Important concepts
------------------
**Doctrine will only check the owning side of an association for changes.**
To fully understand this, remember how bidirectional associations
are maintained in the object world. There are 2 references on each
side of the association and these 2 references both represent the
same association but can change independently of one another. Of
course, in a correct application the semantics of the bidirectional
association are properly maintained by the application developer
(that's his responsibility). Doctrine needs to know which of these
two in-memory references is the one that should be persisted and
which not. This is what the owning/inverse concept is mainly used
for.
**Changes made only to the inverse side of an association are ignored. Make sure to update both sides of a bidirectional association (or at least the owning side, from Doctrine's point of view)**
The owning side of a bidirectional association is the side Doctrine
"looks at" when determining the state of the association, and
consequently whether there is anything to do to update the
association in the database.
.. note::
"Owning side" and "inverse side" are technical concepts of
the ORM technology, not concepts of your domain model. What you
consider as the owning side in your domain model can be different
from what the owning side is for Doctrine. These are unrelated.

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Doctrine Internals explained
============================
Object relational mapping is a complex topic and sufficiently understanding how Doctrine works internally helps you use its full power.
How Doctrine keeps track of Objects
-----------------------------------
Doctrine uses the Identity Map pattern to track objects. Whenever you fetch an
object from the database, Doctrine will keep a reference to this object inside
its UnitOfWork. The array holding all the entity references is two-levels deep
and has the keys "root entity name" and "id". Since Doctrine allows composite
keys the id is a sorted, serialized version of all the key columns.
This allows Doctrine room for optimizations. If you call the EntityManager and
ask for an entity with a specific ID twice, it will return the same instance:
.. code-block:: php
public function testIdentityMap()
{
$objectA = $this->entityManager->find('EntityName', 1);
$objectB = $this->entityManager->find('EntityName', 1);
$this->assertSame($objectA, $objectB)
}
Only one SELECT query will be fired against the database here. In the second
``EntityManager#find()`` call Doctrine will check the identity map first and
doesn't need to make that database roundtrip.
Even if you get a proxy object first then fetch the object by the same id you
will still end up with the same reference:
.. code-block:: php
public function testIdentityMapReference()
{
$objectA = $this->entityManager->getReference('EntityName', 1);
// check for proxyinterface
$this->assertInstanceOf('Doctrine\ORM\Proxy\Proxy', $objectA);
$objectB = $this->entityManager->find('EntityName', 1);
$this->assertSame($objectA, $objectB)
}
The identity map being indexed by primary keys only allows shortcuts when you
ask for objects by primary key. Assume you have the following ``persons``
table:
::
id | name
-------------
1 | Benjamin
2 | Bud
Take the following example where two
consecutive calls are made against a repository to fetch an entity by a set of
criteria:
.. code-block:: php
public function testIdentityMapRepositoryFindBy()
{
$repository = $this->entityManager->getRepository('Person');
$objectA = $repository->findOneBy(array('name' => 'Benjamin'));
$objectB = $repository->findOneBy(array('name' => 'Benjamin'));
$this->assertSame($objectA, $objectB);
}
This query will still return the same references and `$objectA` and `$objectB`
are indeed referencing the same object. However when checking your SQL logs you
will realize that two queries have been executed against the database. Doctrine
only knows objects by id, so a query for different criteria has to go to the
database, even if it was executed just before.
But instead of creating a second Person object Doctrine first gets the primary
key from the row and check if it already has an object inside the UnitOfWork
with that primary key. In our example it finds an object and decides to return
this instead of creating a new one.
The identity map has a second use-case. When you call ``EntityManager#flush``
Doctrine will ask the identity map for all objects that are currently managed.
This means you don't have to call ``EntityManager#persist`` over and over again
to pass known objects to the EntityManager. This is a NO-OP for known entities,
but leads to much code written that is confusing to other developers.
The following code WILL update your database with the changes made to the
``Person`` object, even if you did not call ``EntityManager#persist``:
.. code-block:: php
<?php
$user = $entityManager->find("Person", 1);
$user->setName("Guilherme");
$entityManager->flush();
How Doctrine Detects Changes
----------------------------
Doctrine is a data-mapper that tries to achieve persistence-ignorance (PI).
This means you map php objects into a relational database that don't
necessarily know about the database at all. A natural question would now be,
"how does Doctrine even detect objects have changed?".
For this Doctrine keeps a second map inside the UnitOfWork. Whenever you fetch
an object from the database Doctrine will keep a copy of all the properties and
associations inside the UnitOfWork. Because variables in the PHP language are
subject to "copy-on-write" the memory usage of a PHP request that only reads
objects from the database is the same as if Doctrine did not keep this variable
copy. Only if you start changing variables PHP will create new variables internally
that consume new memory.
Now whenever you call ``EntityManager#flush`` Doctrine will iterate over the
Identity Map and for each object compares the original property and association
values with the values that are currently set on the object. If changes are
detected then the object is queued for an SQL UPDATE operation. Only the fields
that actually changed are updated.
This process has an obvious performance impact. The larger the size of the
UnitOfWork is, the longer this computation takes. There are several ways to
optimize the performance of the Flush Operation:
- Mark entities as read only. These entities can only be inserted or removed,
but are never updated. They are omitted in the changeset calculation.
- Temporarily mark entities as read only. If you have a very large UnitOfWork
but know that a large set of entities has not changed, just mark them as read
only with ``$entityManager->getUnitOfWork()->markReadOnly($entity)``.
- Flush only a single entity with ``$entityManager->flush($entity)``.
- Use :doc:`Change Tracking Policies <change-tracking-policies>` to use more
explicit strategies of notifying the UnitOfWork what objects/properties
changed.
Query Internals
---------------
The different ORM Layers
------------------------
Doctrine ships with a set of layers with different responsibilities. This
section gives a short explanation of each layer.
Hydration
~~~~~~~~~
Responsible for creating a final result from a raw database statement and a
result-set mapping object. The developer can choose which kind of result he
wishes to be hydrated. Default result-types include:
- SQL to Entities
- SQL to structured Arrays
- SQL to simple scalar result arrays
- SQL to a single result variable
Hydration to entities and arrays is one of most complex parts of Doctrine
algorithm-wise. It can built results with for example:
- Single table selects
- Joins with n:1 or 1:n cardinality, grouping belonging to the same parent.
- Mixed results of objects and scalar values
- Hydration of results by a given scalar value as key.
Persisters
~~~~~~~~~~
tbr
UnitOfWork
~~~~~~~~~~
tbr
ResultSetMapping
~~~~~~~~~~~~~~~~
tbr
DQL Parser
~~~~~~~~~~
tbr
SQLWalker
~~~~~~~~~
tbr
EntityManager
~~~~~~~~~~~~~
tbr
ClassMetadataFactory
~~~~~~~~~~~~~~~~~~~~
tbr

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Working with Associations
=========================
Associations between entities are represented just like in regular
object-oriented PHP, with references to other objects or
collections of objects. When it comes to persistence, it is
important to understand three main things:
- The :doc:`concept of owning and inverse sides <unitofwork-associations>`
in bidirectional associations.
- If an entity is removed from a collection, the association is
removed, not the entity itself. A collection of entities always
only represents the association to the containing entities, not the
entity itself.
- Collection-valued :ref:`persistent fields <architecture_persistent_fields>` have to be instances of the
``Doctrine\Common\Collections\Collection`` interface.
Changes to associations in your code are not synchronized to the
database directly, but upon calling ``EntityManager#flush()``.
To describe all the concepts of working with associations we
introduce a specific set of example entities that show all the
different flavors of association management in Doctrine.
Association Example Entities
----------------------------
We will use a simple comment system with Users and Comments as
entities to show examples of association management. See the PHP
docblocks of each association in the following example for
information about its type and if it's the owning or inverse side.
.. code-block:: php
<?php
/** @Entity */
class User
{
/** @Id @GeneratedValue @Column(type="string") */
private $id;
/**
* Bidirectional - Many users have Many favorite comments (OWNING SIDE)
*
* @ManyToMany(targetEntity="Comment", inversedBy="userFavorites")
* @JoinTable(name="user_favorite_comments",
* joinColumns={@JoinColumn(name="user_id", referencedColumnName="id")},
* inverseJoinColumns={@JoinColumn(name="favorite_comment_id", referencedColumnName="id")}
* )
*/
private $favorites;
/**
* Unidirectional - Many users have marked many comments as read
*
* @ManyToMany(targetEntity="Comment")
* @JoinTable(name="user_read_comments",
* joinColumns={@JoinColumn(name="user_id", referencedColumnName="id")},
* inverseJoinColumns={@JoinColumn(name="comment_id", referencedColumnName="id")}
* )
*/
private $commentsRead;
/**
* Bidirectional - One-To-Many (INVERSE SIDE)
*
* @OneToMany(targetEntity="Comment", mappedBy="author")
*/
private $commentsAuthored;
/**
* Unidirectional - Many-To-One
*
* @ManyToOne(targetEntity="Comment")
*/
private $firstComment;
}
/** @Entity */
class Comment
{
/** @Id @GeneratedValue @Column(type="string") */
private $id;
/**
* Bidirectional - Many comments are favorited by many users (INVERSE SIDE)
*
* @ManyToMany(targetEntity="User", mappedBy="favorites")
*/
private $userFavorites;
/**
* Bidirectional - Many Comments are authored by one user (OWNING SIDE)
*
* @ManyToOne(targetEntity="User", inversedBy="authoredComments")
*/
private $author;
}
This two entities generate the following MySQL Schema (Foreign Key
definitions omitted):
.. code-block:: sql
CREATE TABLE User (
id VARCHAR(255) NOT NULL,
firstComment_id VARCHAR(255) DEFAULT NULL,
PRIMARY KEY(id)
) ENGINE = InnoDB;
CREATE TABLE Comment (
id VARCHAR(255) NOT NULL,
author_id VARCHAR(255) DEFAULT NULL,
PRIMARY KEY(id)
) ENGINE = InnoDB;
CREATE TABLE user_favorite_comments (
user_id VARCHAR(255) NOT NULL,
favorite_comment_id VARCHAR(255) NOT NULL,
PRIMARY KEY(user_id, favorite_comment_id)
) ENGINE = InnoDB;
CREATE TABLE user_read_comments (
user_id VARCHAR(255) NOT NULL,
comment_id VARCHAR(255) NOT NULL,
PRIMARY KEY(user_id, comment_id)
) ENGINE = InnoDB;
Establishing Associations
-------------------------
Establishing an association between two entities is
straight-forward. Here are some examples for the unidirectional
relations of the ``User``:
.. code-block:: php
<?php
class User
{
// ...
public function getReadComments() {
return $this->commentsRead;
}
public function setFirstComment(Comment $c) {
$this->firstComment = $c;
}
}
The interaction code would then look like in the following snippet
(``$em`` here is an instance of the EntityManager):
.. code-block:: php
<?php
$user = $em->find('User', $userId);
// unidirectional many to many
$comment = $em->find('Comment', $readCommentId);
$user->getReadComments()->add($comment);
$em->flush();
// unidirectional many to one
$myFirstComment = new Comment();
$user->setFirstComment($myFirstComment);
$em->persist($myFirstComment);
$em->flush();
In the case of bi-directional associations you have to update the
fields on both sides:
.. code-block:: php
<?php
class User
{
// ..
public function getAuthoredComments() {
return $this->commentsAuthored;
}
public function getFavoriteComments() {
return $this->favorites;
}
}
class Comment
{
// ...
public function getUserFavorites() {
return $this->userFavorites;
}
public function setAuthor(User $author = null) {
$this->author = $author;
}
}
// Many-to-Many
$user->getFavorites()->add($favoriteComment);
$favoriteComment->getUserFavorites()->add($user);
$em->flush();
// Many-To-One / One-To-Many Bidirectional
$newComment = new Comment();
$user->getAuthoredComments()->add($newComment);
$newComment->setAuthor($user);
$em->persist($newComment);
$em->flush();
Notice how always both sides of the bidirectional association are
updated. The previous unidirectional associations were simpler to
handle.
Removing Associations
---------------------
Removing an association between two entities is similarly
straight-forward. There are two strategies to do so, by key and by
element. Here are some examples:
.. code-block:: php
<?php
// Remove by Elements
$user->getComments()->removeElement($comment);
$comment->setAuthor(null);
$user->getFavorites()->removeElement($comment);
$comment->getUserFavorites()->removeElement($user);
// Remove by Key
$user->getComments()->remove($ithComment);
$comment->setAuthor(null);
You need to call ``$em->flush()`` to make persist these changes in
the database permanently.
Notice how both sides of the bidirectional association are always
updated. Unidirectional associations are consequently simpler to
handle. Also note that if you use type-hinting in your methods, i.e.
``setAddress(Address $address)``, PHP will only allow null
values if ``null`` is set as default value. Otherwise
setAddress(null) will fail for removing the association. If you
insist on type-hinting a typical way to deal with this is to
provide a special method, like ``removeAddress()``. This can also
provide better encapsulation as it hides the internal meaning of
not having an address.
When working with collections, keep in mind that a Collection is
essentially an ordered map (just like a PHP array). That is why the
``remove`` operation accepts an index/key. ``removeElement`` is a
separate method that has O(n) complexity using ``array_search``,
where n is the size of the map.
.. note::
Since Doctrine always only looks at the owning side of a
bidirectional association for updates, it is not necessary for
write operations that an inverse collection of a bidirectional
one-to-many or many-to-many association is updated. This knowledge
can often be used to improve performance by avoiding the loading of
the inverse collection.
You can also clear the contents of a whole collection using the
``Collections::clear()`` method. You should be aware that using
this method can lead to a straight and optimized database delete or
update call during the flush operation that is not aware of
entities that have been re-added to the collection.
Say you clear a collection of tags by calling
``$post->getTags()->clear();`` and then call
``$post->getTags()->add($tag)``. This will not recognize the tag having
already been added previously and will consequently issue two separate database
calls.
Association Management Methods
------------------------------
It is generally a good idea to encapsulate proper association
management inside the entity classes. This makes it easier to use
the class correctly and can encapsulate details about how the
association is maintained.
The following code shows updates to the previous User and Comment
example that encapsulate much of the association management code:
.. code-block:: php
<?php
class User
{
//...
public function markCommentRead(Comment $comment) {
// Collections implement ArrayAccess
$this->commentsRead[] = $comment;
}
public function addComment(Comment $comment) {
if (count($this->commentsAuthored) == 0) {
$this->setFirstComment($comment);
}
$this->comments[] = $comment;
$comment->setAuthor($this);
}
private function setFirstComment(Comment $c) {
$this->firstComment = $c;
}
public function addFavorite(Comment $comment) {
$this->favorites->add($comment);
$comment->addUserFavorite($this);
}
public function removeFavorite(Comment $comment) {
$this->favorites->removeElement($comment);
$comment->removeUserFavorite($this);
}
}
class Comment
{
// ..
public function addUserFavorite(User $user) {
$this->userFavorites[] = $user;
}
public function removeUserFavorite(User $user) {
$this->userFavorites->removeElement($user);
}
}
You will notice that ``addUserFavorite`` and ``removeUserFavorite``
do not call ``addFavorite`` and ``removeFavorite``, thus the
bidirectional association is strictly-speaking still incomplete.
However if you would naively add the ``addFavorite`` in
``addUserFavorite``, you end up with an infinite loop, so more work
is needed. As you can see, proper bidirectional association
management in plain OOP is a non-trivial task and encapsulating all
the details inside the classes can be challenging.
.. note::
If you want to make sure that your collections are perfectly
encapsulated you should not return them from a
``getCollectionName()`` method directly, but call
``$collection->toArray()``. This way a client programmer for the
entity cannot circumvent the logic you implement on your entity for
association management. For example:
.. code-block:: php
<?php
class User {
public function getReadComments() {
return $this->commentsRead->toArray();
}
}
This will however always initialize the collection, with all the
performance penalties given the size. In some scenarios of large
collections it might even be a good idea to completely hide the
read access behind methods on the EntityRepository.
There is no single, best way for association management. It greatly
depends on the requirements of your concrete domain model as well
as your preferences.
Synchronizing Bidirectional Collections
---------------------------------------
In the case of Many-To-Many associations you as the developer have the
responsibility of keeping the collections on the owning and inverse side
in sync when you apply changes to them. Doctrine can only
guarantee a consistent state for the hydration, not for your client
code.
Using the User-Comment entities from above, a very simple example
can show the possible caveats you can encounter:
.. code-block:: php
<?php
$user->getFavorites()->add($favoriteComment);
// not calling $favoriteComment->getUserFavorites()->add($user);
$user->getFavorites()->contains($favoriteComment); // TRUE
$favoriteComment->getUserFavorites()->contains($user); // FALSE
There are two approaches to handle this problem in your code:
1. Ignore updating the inverse side of bidirectional collections,
BUT never read from them in requests that changed their state. In
the next Request Doctrine hydrates the consistent collection state
again.
2. Always keep the bidirectional collections in sync through
association management methods. Reads of the Collections directly
after changes are consistent then.
Transitive persistence / Cascade Operations
-------------------------------------------
Persisting, removing, detaching and merging individual entities can
become pretty cumbersome, especially when a highly interweaved object graph
is involved. Therefore Doctrine 2 provides a
mechanism for transitive persistence through cascading of these
operations. Each association to another entity or a collection of
entities can be configured to automatically cascade certain
operations. By default, no operations are cascaded.
The following cascade options exist:
- persist : Cascades persist operations to the associated
entities.
- remove : Cascades remove operations to the associated entities.
- merge : Cascades merge operations to the associated entities.
- detach : Cascades detach operations to the associated entities.
- all : Cascades persist, remove, merge and detach operations to
associated entities.
.. note::
Cascade operations are performed in memory. That means collections and related entities
are fetched into memory, even if they are still marked as lazy when
the cascade operation is about to be performed. However this approach allows
entity lifecycle events to be performed for each of these operations.
However, pulling objects graph into memory on cascade can cause considerable performance
overhead, especially when cascading collections are large. Makes sure
to weigh the benefits and downsides of each cascade operation that you define.
To rely on the database level cascade operations for the delete operation instead, you can
configure each join column with the **onDelete** option. See the respective
mapping driver chapters for more information.
The following example is an extension to the User-Comment example
of this chapter. Suppose in our application a user is created
whenever he writes his first comment. In this case we would use the
following code:
.. code-block:: php
<?php
$user = new User();
$myFirstComment = new Comment();
$user->addComment($myFirstComment);
$em->persist($user);
$em->persist($myFirstComment);
$em->flush();
Even if you *persist* a new User that contains our new Comment this
code would fail if you removed the call to
``EntityManager#persist($myFirstComment)``. Doctrine 2 does not
cascade the persist operation to all nested entities that are new
as well.
More complicated is the deletion of all of a user's comments when he is
removed from the system:
.. code-block:: php
$user = $em->find('User', $deleteUserId);
foreach ($user->getAuthoredComments() AS $comment) {
$em->remove($comment);
}
$em->remove($user);
$em->flush();
Without the loop over all the authored comments Doctrine would use
an UPDATE statement only to set the foreign key to NULL and only
the User would be deleted from the database during the
flush()-Operation.
To have Doctrine handle both cases automatically we can change the
``User#commentsAuthored`` property to cascade both the "persist"
and the "remove" operation.
.. code-block:: php
<?php
class User
{
//...
/**
* Bidirectional - One-To-Many (INVERSE SIDE)
*
* @OneToMany(targetEntity="Comment", mappedBy="author", cascade={"persist", "remove"})
*/
private $commentsAuthored;
//...
}
Even though automatic cascading is convenient it should be used
with care. Do not blindly apply cascade=all to all associations as
it will unnecessarily degrade the performance of your application.
For each cascade operation that gets activated Doctrine also
applies that operation to the association, be it single or
collection valued.
Persistence by Reachability: Cascade Persist
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
There are additional semantics that apply to the Cascade Persist
operation. During each flush() operation Doctrine detects if there
are new entities in any collection and three possible cases can
happen:
1. New entities in a collection marked as cascade persist will be
directly persisted by Doctrine.
2. New entities in a collection not marked as cascade persist will
produce an Exception and rollback the flush() operation.
3. Collections without new entities are skipped.
This concept is called Persistence by Reachability: New entities
that are found on already managed entities are automatically
persisted as long as the association is defined as cascade
persist.
Orphan Removal
--------------
There is another concept of cascading that is relevant only when removing entities
from collections. If an Entity of type ``A`` contains references to privately
owned Entities ``B`` then if the reference from ``A`` to ``B`` is removed the
entity ``B`` should also be removed, because it is not used anymore.
OrphanRemoval works with one-to-one, one-to-many and many-to-many associations.
.. note::
When using the ``orphanRemoval=true`` option Doctrine makes the assumption
that the entities are privately owned and will **NOT** be reused by other entities.
If you neglect this assumption your entities will get deleted by Doctrine even if
you assigned the orphaned entity to another one.
As a better example consider an Addressbook application where you have Contacts, Addresses
and StandingData:
.. code-block:: php
<?php
namespace Addressbook;
use Doctrine\Common\Collections\ArrayCollection;
/**
* @Entity
*/
class Contact
{
/** @Id @Column(type="integer") @GeneratedValue */
private $id;
/** @OneToOne(targetEntity="StandingData", orphanRemoval=true) */
private $standingData;
/** @OneToMany(targetEntity="Address", mappedBy="contact", orphanRemoval=true) */
private $addresses;
public function __construct()
{
$this->addresses = new ArrayCollection();
}
public function newStandingData(StandingData $sd)
{
$this->standingData = $sd;
}
public function removeAddress($pos)
{
unset($this->addresses[$pos]);
}
}
Now two examples of what happens when you remove the references:
.. code-block:: php
<?php
$contact = $em->find("Addressbook\Contact", $contactId);
$contact->newStandingData(new StandingData("Firstname", "Lastname", "Street"));
$contact->removeAddress(1);
$em->flush();
In this case you have not only changed the ``Contact`` entity itself but
you have also removed the references for standing data and as well as one
address reference. When flush is called not only are the references removed
but both the old standing data and the one address entity are also deleted
from the database.
Filtering Collections
---------------------
.. filtering-collections:
Collections have a filtering API that allows to slice parts of data from
a collection. If the collection has not been loaded from the database yet,
the filtering API can work on the SQL level to make optimized access to
large collections.
.. code-block:: php
<?php
use Doctrine\Common\Collections\Criteria;
$group = $entityManager->find('Group', $groupId);
$userCollection = $group->getUsers();
$criteria = Criteria::create()
->where(Criteria::expr()->eq("birthday", "1982-02-17"))
->orderBy(array("username" => "ASC"))
->setFirstResult(0)
->setMaxResults(20)
;
$birthdayUsers = $userCollection->matching($criteria);
.. tip::
You can move the access of slices of collections into dedicated methods of
an entity. For example ``Group#getTodaysBirthdayUsers()``.
The Criteria has a limited matching language that works both on the
SQL and on the PHP collection level. This means you can use collection matching
interchangeably, independent of in-memory or sql-backed collections.
.. code-block:: php
<?php
use Doctrine\Common\Collections;
class Criteria
{
/**
* @return Criteria
*/
static public function create();
/**
* @param Expression $where
* @return Criteria
*/
public function where(Expression $where);
/**
* @param Expression $where
* @return Criteria
*/
public function andWhere(Expression $where);
/**
* @param Expression $where
* @return Criteria
*/
public function orWhere(Expression $where);
/**
* @param array $orderings
* @return Criteria
*/
public function orderBy(array $orderings);
/**
* @param int $firstResult
* @return Criteria
*/
public function setFirstResult($firstResult);
/**
* @param int $maxResults
* @return Criteria
*/
public function setMaxResults($maxResults);
public function getOrderings();
public function getWhereExpresion();
public function getFirstResult();
public function getMaxResults();
}
You can build expressions through the ExpressionBuilder. It has the following
methods:
* ``andX($arg1, $arg2, ...)``
* ``orX($arg1, $arg2, ...)``
* ``eq($field, $value)``
* ``gt($field, $value)``
* ``lt($field, $value)``
* ``lte($field, $value)``
* ``gte($field, $value)``
* ``neq($field, $value)``
* ``isNull($field)``
* ``in($field, array $values)``
* ``notIn($field, array $values)``

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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.
.. note::
It is very important to understand that only
``EntityManager#flush()`` ever causes write operations against the
database to be executed. Any other methods such as
``EntityManager#persist($entity)`` or
``EntityManager#remove($entity)`` only notify the UnitOfWork to
perform these operations during flush.
Not calling ``EntityManager#flush()`` will lead to all changes
during that request being lost.
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:
.. code-block:: php
<?php
$article = $entityManager->find('CMS\Article', 1234);
$article->setHeadline('Hello World dude!');
$article2 = $entityManager->find('CMS\Article', 1234);
echo $article2->getHeadline();
In this case the Article is accessed from the entity manager twice,
but modified in between. Doctrine 2 realizes this and will only
ever give you access to one instance of the Article with ID 1234,
no matter how often do you retrieve it from the EntityManager and
even no matter what kind of Query method you are using (find,
Repository Finder or DQL). This is called "Identity Map" pattern,
which means Doctrine keeps a map of each entity and ids that have
been retrieved per PHP request and keeps returning you the same
instances.
In the previous example the echo prints "Hello World dude!" to the
screen. You can even verify that ``$article`` and ``$article2`` are
indeed pointing to the same instance by running the following
code:
.. code-block:: php
<?php
if ($article === $article2) {
echo "Yes we are the same!";
}
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.
.. code-block:: php
<?php
/** @Entity */
class Article
{
/** @Id @Column(type="integer") @GeneratedValue */
private $id;
/** @Column(type="string") */
private $headline;
/** @ManyToOne(targetEntity="User") */
private $author;
/** @OneToMany(targetEntity="Comment", mappedBy="article") */
private $comments;
public function __construct {
$this->comments = new ArrayCollection();
}
public function getAuthor() { return $this->author; }
public function getComments() { return $this->comments; }
}
$article = $em->find('Article', 1);
This code only retrieves the ``Article`` instance with id 1 executing
a single SELECT statement against the user 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:
.. code-block:: php
<?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!";
}
A slice of the generated proxy classes code looks like the
following piece of code. A real proxy class override ALL public
methods along the lines of the ``getName()`` method shown below:
.. code-block:: php
<?php
class UserProxy extends User implements Proxy
{
private function _load()
{
// lazy loading code
}
public function getName()
{
$this->_load();
return parent::getName();
}
// .. other public methods of User
}
.. warning::
Traversing the object graph for parts that are lazy-loaded will
easily trigger lots of SQL queries and will perform badly if used
to heavily. Make sure to use DQL to fetch-join all the parts of the
object-graph that you need as efficiently as possible.
Persisting entities
-------------------
An entity can be made persistent by passing it to the
``EntityManager#persist($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.
.. note::
Invoking the ``persist`` method on an entity does NOT
cause an immediate SQL INSERT to be issued on the database.
Doctrine applies a strategy called "transactional write-behind",
which means that it will delay most SQL commands until
``EntityManager#flush()`` is invoked which will then issue all
necessary SQL statements to synchronize your objects with the
database in the most efficient way and a single, short transaction,
taking care of maintaining referential integrity.
Example:
.. code-block:: php
<?php
$user = new User;
$user->setName('Mr.Right');
$em->persist($user);
$em->flush();
.. note::
Generated entity identifiers / primary keys are
guaranteed to be available after the next successful flush
operation that involves the entity in question. You can not rely on
a generated identifier to be available directly after invoking
``persist``. The inverse is also true. You can not rely on a
generated identifier being not available after a failed flush
operation.
The semantics of the persist operation, applied on an entity X, are
as follows:
- If X is a new entity, it becomes managed. The entity X will be
entered into the database as a result of the flush operation.
- If X is a preexisting managed entity, it is ignored by the
persist operation. However, the persist operation is cascaded to
entities referenced by X, if the relationships from X to these
other entities are mapped with cascade=PERSIST or cascade=ALL (see
"Transitive Persistence").
- If X is a removed entity, it becomes managed.
- If X is a detached entity, an exception will be thrown on
flush.
Removing entities
-----------------
An entity can be removed from persistent storage by passing it to
the ``EntityManager#remove($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.
.. note::
Just like ``persist``, invoking ``remove`` on an entity
does NOT cause an immediate SQL DELETE to be issued on the
database. The entity will be deleted on the next invocation of
``EntityManager#flush()`` that involves that entity. This
means that entities scheduled for removal can still be queried
for and appear in query and collection results. See
the section on :ref:`Database and UnitOfWork Out-Of-Sync <workingobjects_database_uow_outofsync>`
for more information.
Example:
.. code-block:: php
<?php
$em->remove($user);
$em->flush();
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").
- 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").
- 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.
1. If an association is marked as ``CASCADE=REMOVE`` Doctrine 2
will fetch this association. If its a Single association it will
pass this entity to
´EntityManager#remove()``. If the association is a collection, Doctrine will loop over all its elements and pass them to``EntityManager#remove()\`.
In both cases the cascade remove semantics are applied recursively.
For large object graphs this removal strategy can be very costly.
2. 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.
3. 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 key ``onDelete=CASCADE`` option,
because Doctrine will fetch and remove all associated entities
explicitly nevertheless.
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:
.. code-block:: php
<?php
$em->detach($entity);
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"). 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"). 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, i.e. when using the
Query Result 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:
.. code-block:: php
<?php
$detachedEntity = unserialize($serializedEntity); // some detached entity
$entity = $em->merge($detachedEntity);
// $entity now refers to the fully managed copy returned by the merge operation.
// The EntityManager $em now manages the persistence of $entity as usual.
.. note::
When you want to serialize/unserialize entities you
have to make all entity properties protected, never private. The
reason for this is, if you serialize a class that was a proxy
instance before, the private variables won't be serialized and a
PHP Notice is thrown.
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").
- 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.
.. warning::
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 ``EntityManager#clear()`` between the
successive calls to ``EntityManager#merge()``. Otherwise you might end up with
multiple copies of the "same" object in the database, however with different ids.
.. note::
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
``merge``. I.e. you can simply pass detached objects from a cache
directly to the view.
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.
.. _workingobjects_database_uow_outofsync:
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:
.. code-block:: php
<?php
$uowSize = $em->getUnitOfWork()->size();
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.
.. note::
Do not invoke ``flush`` after every change to an entity
or every single invocation of persist/remove/merge/... This is an
anti-pattern and unnecessarily reduces the performance of your
application. Instead, form units of work that operate on your
objects and call ``flush`` when you are done. While serving a
single HTTP request there should be usually no need for invoking
``flush`` more than 0-2 times.
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.
.. code-block:: php
<?php
$uow = $em->getUnitOfWork();
.. note::
Directly manipulating a UnitOfWork is not recommended.
When working directly with the UnitOfWork API, respect methods
marked as INTERNAL by not using them and carefully read the API
documentation.
Entity State
~~~~~~~~~~~~
As outlined in the architecture overview an entity can be in one of
four possible states: NEW, MANAGED, REMOVED, DETACHED. If you
explicitly need to find out what the current state of an entity is
in the context of a certain ``EntityManager`` you can ask the
underlying ``UnitOfWork``:
.. code-block:: php
<?php
switch ($em->getUnitOfWork()->getEntityState($entity)) {
case UnitOfWork::STATE_MANAGED:
...
case UnitOfWork::STATE_REMOVED:
...
case UnitOfWork::STATE_DETACHED:
...
case UnitOfWork::STATE_NEW:
...
}
An entity is in MANAGED state if it is associated with an
``EntityManager`` and it is not REMOVED.
An entity is in REMOVED state after it has been passed to
``EntityManager#remove()`` until the next flush operation of the
same EntityManager. A REMOVED entity is still associated with an
``EntityManager`` until the next flush operation.
An entity is in DETACHED state if it has persistent state and
identity but is currently not associated with an
``EntityManager``.
An entity is in NEW state if has no persistent state and identity
and is not associated with an ``EntityManager`` (for example those
just created via the "new" operator).
Querying
--------
Doctrine 2 provides the following ways, in increasing level of
power and flexibility, to query for persistent objects. You should
always start with the simplest one that suits your needs.
By Primary Key
~~~~~~~~~~~~~~
The most basic way to query for a persistent object is by its
identifier / primary key using the
``EntityManager#find($entityName, $id)`` method. Here is an
example:
.. code-block:: php
<?php
// $em instanceof EntityManager
$user = $em->find('MyProject\Domain\User', $id);
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:
.. code-block:: php
<?php
// $em instanceof EntityManager
$user = $em->getRepository('MyProject\Domain\User')->find($id);
``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:
.. code-block:: php
<?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'));
You can also load by owning side associations through the repository:
.. code-block:: php
<?php
$number = $em->find('MyProject\Domain\Phonenumber', 1234);
$user = $em->getRepository('MyProject\Domain\User')->findOneBy(array('phone' => $number->getId()));
Be careful that this only works by passing the ID of the associated entity, not yet by passing the associated entity itself.
The ``EntityRepository#findBy()`` method additionally accepts orderings, limit and offset as second to fourth parameters:
.. code-block:: php
<?php
$tenUsers = $em->getRepository('MyProject\Domain\User')->findBy(array('age' => 20), array('name' => 'ASC'), 10, 0);
If you pass an array of values Doctrine will convert the query into a WHERE field IN (..) query automatically:
.. code-block:: php
<?php
$users = $em->getRepository('MyProject\Domain\User')->findBy(array('age' => array(20, 30, 40)));
// translates roughly to: SELECT * FROM users WHERE age IN (20, 30, 40)
An EntityRepository also provides a mechanism for more concise
calls through its use of ``__call``. Thus, the following two
examples are equivalent:
.. code-block:: php
<?php
// A single user by its nickname
$user = $em->getRepository('MyProject\Domain\User')->findOneBy(array('nickname' => 'romanb'));
// A single user by its nickname (__call magic)
$user = $em->getRepository('MyProject\Domain\User')->findOneByNickname('romanb');
By Criteria
~~~~~~~~~~~
The Repository implement the ``Doctrine\Common\Collections\Selectable``
interface. That means you can build ``Doctrine\Common\Collections\Criteria``
and pass them to the ``matching($criteria)`` method.
See the :ref:`Working with Associations: Filtering collections
<filtering-collections>`.
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:
.. code-block:: php
<?php
// $em instanceof EntityManager
// All users with an age between 20 and 30 (inclusive).
$q = $em->createQuery("select u from MyDomain\Model\User u where u.age >= 20 and u.age <= 30");
$users = $q->getResult();
Note that this query contains no knowledge about the relational
schema, only about the object model. DQL supports positional as
well as named parameters, many functions, (fetch) joins,
aggregates, subqueries and much more. Detailed information about
DQL and its syntax as well as the Doctrine class can be found in
:doc:`the dedicated chapter <dql-doctrine-query-language>`.
For programmatically building up queries based on conditions that
are only known at runtime, Doctrine provides the special
``Doctrine\ORM\QueryBuilder`` class. More information on
constructing queries with a QueryBuilder can be found
:doc:`in Query Builder chapter <query-builder>`.
By Native Queries
~~~~~~~~~~~~~~~~~
As an alternative to DQL or as a fallback for special SQL
statements native queries can be used. Native queries are built by
using a hand-crafted SQL query and a ResultSetMapping that
describes how the SQL result set should be transformed by Doctrine.
More information about native queries can be found in
:doc:`the dedicated chapter <native-sql>`.
Custom Repositories
~~~~~~~~~~~~~~~~~~~
By default the EntityManager returns a default implementation of
``Doctrine\ORM\EntityRepository`` when you call
``EntityManager#getRepository($entityClass)``. You can overwrite
this behaviour by specifying the class name of your own Entity
Repository in the 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.
.. code-block:: php
<?php
namespace MyDomain\Model;
use Doctrine\ORM\EntityRepository;
/**
* @entity(repositoryClass="MyDomain\Model\UserRepository")
*/
class User
{
}
class UserRepository extends EntityRepository
{
public function getAllAdminUsers()
{
return $this->_em->createQuery('SELECT u FROM MyDomain\Model\User u WHERE u.status = "admin"')
->getResult();
}
}
You can access your repository now by calling:
.. code-block:: php
<?php
// $em instanceof EntityManager
$admins = $em->getRepository('MyDomain\Model\User')->getAllAdminUsers();

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@ -0,0 +1,747 @@
XML Mapping
===========
The XML mapping driver enables you to provide the ORM metadata in
form of XML documents.
The XML driver is backed by an XML Schema document that describes
the structure of a mapping document. The most recent version of the
XML Schema document is available online at
`http://www.doctrine-project.org/schemas/orm/doctrine-mapping.xsd <http://www.doctrine-project.org/schemas/orm/doctrine-mapping.xsd>`_.
In order to point to the latest version of the document of a
particular stable release branch, just append the release number,
i.e.: doctrine-mapping-2.0.xsd The most convenient way to work with
XML mapping files is to use an IDE/editor that can provide
code-completion based on such an XML Schema document. The following
is an outline of a XML mapping document with the proper xmlns/xsi
setup for the latest code in trunk.
.. code-block:: xml
<doctrine-mapping xmlns="http://doctrine-project.org/schemas/orm/doctrine-mapping"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://doctrine-project.org/schemas/orm/doctrine-mapping
https://raw.github.com/doctrine/doctrine2/master/doctrine-mapping.xsd">
...
</doctrine-mapping>
The XML mapping document of a class is loaded on-demand the first
time it is requested and subsequently stored in the metadata cache.
In order to work, this requires certain conventions:
- Each entity/mapped superclass must get its own dedicated XML
mapping document.
- The name of the mapping document must consist of the fully
qualified name of the class, where namespace separators are
replaced by dots (.). For example an Entity with the fully
qualified class-name "MyProject" would require a mapping file
"MyProject.Entities.User.dcm.xml" unless the extension is changed.
- All mapping documents should get the extension ".dcm.xml" to
identify it as a Doctrine mapping file. This is more of a
convention and you are not forced to do this. You can change the
file extension easily enough.
-
.. code-block:: php
<?php
$driver->setFileExtension('.xml');
It is recommended to put all XML mapping documents in a single
folder but you can spread the documents over several folders if you
want to. In order to tell the XmlDriver where to look for your
mapping documents, supply an array of paths as the first argument
of the constructor, like this:
.. code-block:: php
<?php
$config = new \Doctrine\ORM\Configuration();
$driver = new \Doctrine\ORM\Mapping\Driver\XmlDriver(array('/path/to/files1', '/path/to/files2'));
$config->setMetadataDriverImpl($driver);
Simplified XML Driver
~~~~~~~~~~~~~~~~~~~~~
The Symfony project sponsored a driver that simplifies usage of the XML Driver.
The changes between the original driver are:
1. File Extension is .orm.xml
2. Filenames are shortened, "MyProject\Entities\User" will become User.orm.xml
3. You can add a global file and add multiple entities in this file.
Configuration of this client works a little bit different:
.. code-block:: php
<?php
$namespaces = array(
'MyProject\Entities' => '/path/to/files1',
'OtherProject\Entities' => '/path/to/files2'
);
$driver = new \Doctrine\ORM\Mapping\Driver\SimplifiedXmlDriver($namespaces);
$driver->setGlobalBasename('global'); // global.orm.xml
Example
-------
As a quick start, here is a small example document that makes use
of several common elements:
.. code-block:: xml
// Doctrine.Tests.ORM.Mapping.User.dcm.xml
<?xml version="1.0" encoding="UTF-8"?>
<doctrine-mapping xmlns="http://doctrine-project.org/schemas/orm/doctrine-mapping"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://doctrine-project.org/schemas/orm/doctrine-mapping
http://raw.github.com/doctrine/doctrine2/master/doctrine-mapping.xsd">
<entity name="Doctrine\Tests\ORM\Mapping\User" table="cms_users">
<indexes>
<index name="name_idx" columns="name"/>
<index columns="user_email"/>
</indexes>
<unique-constraints>
<unique-constraint columns="name,user_email" name="search_idx" />
</unique-constraints>
<lifecycle-callbacks>
<lifecycle-callback type="prePersist" method="doStuffOnPrePersist"/>
<lifecycle-callback type="prePersist" method="doOtherStuffOnPrePersistToo"/>
<lifecycle-callback type="postPersist" method="doStuffOnPostPersist"/>
</lifecycle-callbacks>
<id name="id" type="integer" column="id">
<generator strategy="AUTO"/>
<sequence-generator sequence-name="tablename_seq" allocation-size="100" initial-value="1" />
</id>
<field name="name" column="name" type="string" length="50" nullable="true" unique="true" />
<field name="email" column="user_email" type="string" column-definition="CHAR(32) NOT NULL" />
<one-to-one field="address" target-entity="Address" inversed-by="user">
<cascade><cascade-remove /></cascade>
<join-column name="address_id" referenced-column-name="id" on-delete="CASCADE" on-update="CASCADE"/>
</one-to-one>
<one-to-many field="phonenumbers" target-entity="Phonenumber" mapped-by="user">
<cascade>
<cascade-persist/>
</cascade>
<order-by>
<order-by-field name="number" direction="ASC" />
</order-by>
</one-to-many>
<many-to-many field="groups" target-entity="Group">
<cascade>
<cascade-all/>
</cascade>
<join-table name="cms_users_groups">
<join-columns>
<join-column name="user_id" referenced-column-name="id" nullable="false" unique="false" />
</join-columns>
<inverse-join-columns>
<join-column name="group_id" referenced-column-name="id" column-definition="INT NULL" />
</inverse-join-columns>
</join-table>
</many-to-many>
</entity>
</doctrine-mapping>
Be aware that class-names specified in the XML files should be
fully qualified.
XML-Element Reference
---------------------
The XML-Element reference explains all the tags and attributes that
the Doctrine Mapping XSD Schema defines. You should read the
Basic-, Association- and Inheritance Mapping chapters to understand
what each of this definitions means in detail.
Defining an Entity
~~~~~~~~~~~~~~~~~~
Each XML Mapping File contains the definition of one entity,
specified as the ``<entity />`` element as a direct child of the
``<doctrine-mapping />`` element:
.. code-block:: xml
<doctrine-mapping>
<entity name="MyProject\User" table="cms_users" repository-class="MyProject\UserRepository">
<!-- definition here -->
</entity>
</doctrine-mapping>
Required attributes:
- name - The fully qualified class-name of the entity.
Optional attributes:
- **table** - The Table-Name to be used for this entity. Otherwise the
Unqualified Class-Name is used by default.
- **repository-class** - The fully qualified class-name of an
alternative ``Doctrine\ORM\EntityRepository`` implementation to be
used with this entity.
- **inheritance-type** - The type of inheritance, defaults to none. A
more detailed description follows in the
*Defining Inheritance Mappings* section.
- **read-only** - (>= 2.1) Specifies that this entity is marked as read only and not
considered for change-tracking. Entities of this type can be persisted
and removed though.
Defining Fields
~~~~~~~~~~~~~~~
Each entity class can contain zero to infinite fields that are
managed by Doctrine. You can define them using the ``<field />``
element as a children to the ``<entity />`` element. The field
element is only used for primitive types that are not the ID of the
entity. For the ID mapping you have to use the ``<id />`` element.
.. code-block:: xml
<entity name="MyProject\User">
<field name="name" type="string" length="50" />
<field name="username" type="string" unique="true" />
<field name="age" type="integer" nullable="true" />
<field name="isActive" column="is_active" type="boolean" />
<field name="weight" type="decimal" scale="5" precision="2" />
</entity>
Required attributes:
- name - The name of the Property/Field on the given Entity PHP
class.
Optional attributes:
- type - The ``Doctrine\DBAL\Types\Type`` name, defaults to
"string"
- column - Name of the column in the database, defaults to the
field name.
- length - The length of the given type, for use with strings
only.
- unique - Should this field contain a unique value across the
table? Defaults to false.
- nullable - Should this field allow NULL as a value? Defaults to
false.
- version - Should this field be used for optimistic locking? Only
works on fields with type integer or datetime.
- scale - Scale of a decimal type.
- precision - Precision of a decimal type.
- column-definition - Optional alternative SQL representation for
this column. This definition begin after the field-name and has to
specify the complete column definition. Using this feature will
turn this field dirty for Schema-Tool update commands at all
times.
Defining Identity and Generator Strategies
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
An entity has to have at least one ``<id />`` element. For
composite keys you can specify more than one id-element, however
surrogate keys are recommended for use with Doctrine 2. The Id
field allows to define properties of the identifier and allows a
subset of the ``<field />`` element attributes:
.. code-block:: xml
<entity name="MyProject\User">
<id name="id" type="integer" column="user_id" />
</entity>
Required attributes:
- name - The name of the Property/Field on the given Entity PHP
class.
- type - The ``Doctrine\DBAL\Types\Type`` name, preferably
"string" or "integer".
Optional attributes:
- column - Name of the column in the database, defaults to the
field name.
Using the simplified definition above Doctrine will use no
identifier strategy for this entity. That means you have to
manually set the identifier before calling
``EntityManager#persist($entity)``. This is the so called
``ASSIGNED`` strategy.
If you want to switch the identifier generation strategy you have
to nest a ``<generator />`` element inside the id-element. This of
course only works for surrogate keys. For composite keys you always
have to use the ``ASSIGNED`` strategy.
.. code-block:: xml
<entity name="MyProject\User">
<id name="id" type="integer" column="user_id">
<generator strategy="AUTO" />
</id>
</entity>
The following values are allowed for the ``<generator />`` strategy
attribute:
- AUTO - Automatic detection of the identifier strategy based on
the preferred solution of the database vendor.
- IDENTITY - Use of a IDENTIFY strategy such as Auto-Increment IDs
available to Doctrine AFTER the INSERT statement has been executed.
- SEQUENCE - Use of a database sequence to retrieve the
entity-ids. This is possible before the INSERT statement is
executed.
If you are using the SEQUENCE strategy you can define an additional
element to describe the sequence:
.. code-block:: xml
<entity name="MyProject\User">
<id name="id" type="integer" column="user_id">
<generator strategy="SEQUENCE" />
<sequence-generator sequence-name="user_seq" allocation-size="5" initial-value="1" />
</id>
</entity>
Required attributes for ``<sequence-generator />``:
- sequence-name - The name of the sequence
Optional attributes for ``<sequence-generator />``:
- allocation-size - By how much steps should the sequence be
incremented when a value is retrieved. Defaults to 1
- initial-value - What should the initial value of the sequence
be.
**NOTE**
If you want to implement a cross-vendor compatible application you
have to specify and additionally define the <sequence-generator />
element, if Doctrine chooses the sequence strategy for a
platform.
Defining a Mapped Superclass
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Sometimes you want to define a class that multiple entities inherit
from, which itself is not an entity however. The chapter on
*Inheritance Mapping* describes a Mapped Superclass in detail. You
can define it in XML using the ``<mapped-superclass />`` tag.
.. code-block:: xml
<doctrine-mapping>
<mapped-superclass name="MyProject\BaseClass">
<field name="created" type="datetime" />
<field name="updated" type="datetime" />
</mapped-superclass>
</doctrine-mapping>
Required attributes:
- name - Class name of the mapped superclass.
You can nest any number of ``<field />`` and unidirectional
``<many-to-one />`` or ``<one-to-one />`` associations inside a
mapped superclass.
Defining Inheritance Mappings
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
There are currently two inheritance persistence strategies that you
can choose from when defining entities that inherit from each
other. Single Table inheritance saves the fields of the complete
inheritance hierarchy in a single table, joined table inheritance
creates a table for each entity combining the fields using join
conditions.
You can specify the inheritance type in the ``<entity />`` element
and then use the ``<discriminator-column />`` and
``<discriminator-mapping />`` attributes.
.. code-block:: xml
<entity name="MyProject\Animal" inheritance-type="JOINED">
<discriminator-column name="discr" type="string" />
<discriminator-map>
<discriminator-mapping value="cat" class="MyProject\Cat" />
<discriminator-mapping value="dog" class="MyProject\Dog" />
<discriminator-mapping value="mouse" class="MyProject\Mouse" />
</discriminator-map>
</entity>
The allowed values for inheritance-type attribute are ``JOINED`` or
``SINGLE_TABLE``.
.. note::
All inheritance related definitions have to be defined on the root
entity of the hierarchy.
Defining Lifecycle Callbacks
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
You can define the lifecycle callback methods on your entities
using the ``<lifecycle-callbacks />`` element:
.. code-block:: xml
<entity name="Doctrine\Tests\ORM\Mapping\User" table="cms_users">
<lifecycle-callbacks>
<lifecycle-callback type="prePersist" method="onPrePersist" />
</lifecycle-callbacks>
</entity>
Defining One-To-One Relations
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
You can define One-To-One Relations/Associations using the
``<one-to-one />`` element. The required and optional attributes
depend on the associations being on the inverse or owning side.
For the inverse side the mapping is as simple as:
.. code-block:: xml
<entity class="MyProject\User">
<one-to-one field="address" target-entity="Address" mapped-by="user" />
</entity>
Required attributes for inverse One-To-One:
- field - Name of the property/field on the entity's PHP class.
- target-entity - Name of the entity associated entity class. If
this is not qualified the namespace of the current class is
prepended. *IMPORTANT:* No leading backslash!
- mapped-by - Name of the field on the owning side (here Address
entity) that contains the owning side association.
For the owning side this mapping would look like:
.. code-block:: xml
<entity class="MyProject\Address">
<one-to-one field="user" target-entity="User" inversed-by="address" />
</entity>
Required attributes for owning One-to-One:
- field - Name of the property/field on the entity's PHP class.
- target-entity - Name of the entity associated entity class. If
this is not qualified the namespace of the current class is
prepended. *IMPORTANT:* No leading backslash!
Optional attributes for owning One-to-One:
- inversed-by - If the association is bidirectional the
inversed-by attribute has to be specified with the name of the
field on the inverse entity that contains the back-reference.
- orphan-removal - If true, the inverse side entity is always
deleted when the owning side entity is. Defaults to false.
- fetch - Either LAZY or EAGER, defaults to LAZY. This attribute
makes only sense on the owning side, the inverse side *ALWAYS* has
to use the ``FETCH`` strategy.
The definition for the owning side relies on a bunch of mapping
defaults for the join column names. Without the nested
``<join-column />`` element Doctrine assumes to foreign key to be
called ``user_id`` on the Address Entities table. This is because
the ``MyProject\Address`` entity is the owning side of this
association, which means it contains the foreign key.
The completed explicitly defined mapping is:
.. code-block:: xml
<entity class="MyProject\Address">
<one-to-one field="user" target-entity="User" inversed-by="address">
<join-column name="user_id" referenced-column-name="id" />
</one-to-one>
</entity>
Defining Many-To-One Associations
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The many-to-one association is *ALWAYS* the owning side of any
bidirectional association. This simplifies the mapping compared to
the one-to-one case. The minimal mapping for this association looks
like:
.. code-block:: xml
<entity class="MyProject\Article">
<many-to-one field="author" target-entity="User" />
</entity>
Required attributes:
- field - Name of the property/field on the entity's PHP class.
- target-entity - Name of the entity associated entity class. If
this is not qualified the namespace of the current class is
prepended. *IMPORTANT:* No leading backslash!
Optional attributes:
- inversed-by - If the association is bidirectional the
inversed-by attribute has to be specified with the name of the
field on the inverse entity that contains the back-reference.
- orphan-removal - If true the entity on the inverse side is
always deleted when the owning side entity is and it is not
connected to any other owning side entity anymore. Defaults to
false.
- fetch - Either LAZY or EAGER, defaults to LAZY.
This definition relies on a bunch of mapping defaults with regards
to the naming of the join-column/foreign key. The explicitly
defined mapping includes a ``<join-column />`` tag nested inside
the many-to-one association tag:
.. code-block:: xml
<entity class="MyProject\Article">
<many-to-one field="author" target-entity="User">
<join-column name="author_id" referenced-column-name="id" />
</many-to-one>
</entity>
The join-column attribute ``name`` specifies the column name of the
foreign key and the ``referenced-column-name`` attribute specifies
the name of the primary key column on the User entity.
Defining One-To-Many Associations
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The one-to-many association is *ALWAYS* the inverse side of any
association. There exists no such thing as a uni-directional
one-to-many association, which means this association only ever
exists for bi-directional associations.
.. code-block:: xml
<entity class="MyProject\User">
<one-to-many field="phonenumbers" target-entity="Phonenumber" mapped-by="user" />
</entity>
Required attributes:
- field - Name of the property/field on the entity's PHP class.
- target-entity - Name of the entity associated entity class. If
this is not qualified the namespace of the current class is
prepended. *IMPORTANT:* No leading backslash!
- mapped-by - Name of the field on the owning side (here
Phonenumber entity) that contains the owning side association.
Optional attributes:
- fetch - Either LAZY, EXTRA_LAZY or EAGER, defaults to LAZY.
- index-by: Index the collection by a field on the target entity.
Defining Many-To-Many Associations
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
From all the associations the many-to-many has the most complex
definition. When you rely on the mapping defaults you can omit many
definitions and rely on their implicit values.
.. code-block:: xml
<entity class="MyProject\User">
<many-to-many field="groups" target-entity="Group" />
</entity>
Required attributes:
- field - Name of the property/field on the entity's PHP class.
- target-entity - Name of the entity associated entity class. If
this is not qualified the namespace of the current class is
prepended. *IMPORTANT:* No leading backslash!
Optional attributes:
- mapped-by - Name of the field on the owning side that contains
the owning side association if the defined many-to-many association
is on the inverse side.
- inversed-by - If the association is bidirectional the
inversed-by attribute has to be specified with the name of the
field on the inverse entity that contains the back-reference.
- fetch - Either LAZY, EXTRA_LAZY or EAGER, defaults to LAZY.
- index-by: Index the collection by a field on the target entity.
The mapping defaults would lead to a join-table with the name
"User\_Group" being created that contains two columns "user\_id"
and "group\_id". The explicit definition of this mapping would be:
.. code-block:: xml
<entity class="MyProject\User">
<many-to-many field="groups" target-entity="Group">
<join-table name="cms_users_groups">
<join-columns>
<join-column name="user_id" referenced-column-name="id"/>
</join-columns>
<inverse-join-columns>
<join-column name="group_id" referenced-column-name="id"/>
</inverse-join-columns>
</join-table>
</many-to-many>
</entity>
Here both the ``<join-columns>`` and ``<inverse-join-columns>``
tags are necessary to tell Doctrine for which side the specified
join-columns apply. These are nested inside a ``<join-table />``
attribute which allows to specify the table name of the
many-to-many join-table.
Cascade Element
~~~~~~~~~~~~~~~
Doctrine allows cascading of several UnitOfWork operations to
related entities. You can specify the cascade operations in the
``<cascade />`` element inside any of the association mapping
tags.
.. code-block:: xml
<entity class="MyProject\User">
<many-to-many field="groups" target-entity="Group">
<cascade>
<cascade-all/>
</cascade>
</many-to-many>
</entity>
Besides ``<cascade-all />`` the following operations can be
specified by their respective tags:
- ``<cascade-persist />``
- ``<cascade-merge />``
- ``<cascade-remove />``
- ``<cascade-refresh />``
Join Column Element
~~~~~~~~~~~~~~~~~~~
In any explicitly defined association mapping you will need the
``<join-column />`` tag. It defines how the foreign key and primary
key names are called that are used for joining two entities.
Required attributes:
- name - The column name of the foreign key.
- referenced-column-name - The column name of the associated
entities primary key
Optional attributes:
- unique - If the join column should contain a UNIQUE constraint.
This makes sense for Many-To-Many join-columns only to simulate a
one-to-many unidirectional using a join-table.
- nullable - should the join column be nullable, defaults to true.
- on-delete - Foreign Key Cascade action to perform when entity is
deleted, defaults to NO ACTION/RESTRICT but can be set to
"CASCADE".
Defining Order of To-Many Associations
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
You can require one-to-many or many-to-many associations to be
retrieved using an additional ``ORDER BY``.
.. code-block:: xml
<entity class="MyProject\User">
<many-to-many field="groups" target-entity="Group">
<order-by>
<order-by-field name="name" direction="ASC" />
</order-by>
</many-to-many>
</entity>
Defining Indexes or Unique Constraints
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
To define additional indexes or unique constraints on the entities
table you can use the ``<indexes />`` and
``<unique-constraints />`` elements:
.. code-block:: xml
<entity name="Doctrine\Tests\ORM\Mapping\User" table="cms_users">
<indexes>
<index name="name_idx" columns="name"/>
<index columns="user_email"/>
</indexes>
<unique-constraints>
<unique-constraint columns="name,user_email" name="search_idx" />
</unique-constraints>
</entity>
You have to specify the column and not the entity-class field names
in the index and unique-constraint definitions.
Derived Entities ID syntax
~~~~~~~~~~~~~~~~~~~~~~~~~~
If the primary key of an entity contains a foreign key to another entity we speak of a derived
entity relationship. You can define this in XML with the "association-key" attribute in the ``<id>`` tag.
.. code-block:: xml
<doctrine-mapping xmlns="http://doctrine-project.org/schemas/orm/doctrine-mapping"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://doctrine-project.org/schemas/orm/doctrine-mapping
http://raw.github.com/doctrine/doctrine2/master/doctrine-mapping.xsd">
<entity name="Application\Model\ArticleAttribute">
<id name="article" association-key="true" />
<id name="attribute" type="string" />
<field name="value" type="string" />
<many-to-one field="article" target-entity="Article" inversed-by="attributes" />
<entity>
</doctrine-mapping>

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YAML Mapping
============
The YAML mapping driver enables you to provide the ORM metadata in
form of YAML documents.
The YAML mapping document of a class is loaded on-demand the first
time it is requested and subsequently stored in the metadata cache.
In order to work, this requires certain conventions:
- Each entity/mapped superclass must get its own dedicated YAML
mapping document.
- The name of the mapping document must consist of the fully
qualified name of the class, where namespace separators are
replaced by dots (.).
- All mapping documents should get the extension ".dcm.yml" to
identify it as a Doctrine mapping file. This is more of a
convention and you are not forced to do this. You can change the
file extension easily enough.
-
.. code-block:: php
<?php
$driver->setFileExtension('.yml');
It is recommended to put all YAML mapping documents in a single
folder but you can spread the documents over several folders if you
want to. In order to tell the YamlDriver where to look for your
mapping documents, supply an array of paths as the first argument
of the constructor, like this:
.. code-block:: php
<?php
use Doctrine\ORM\Mapping\Driver\YamlDriver;
// $config instanceof Doctrine\ORM\Configuration
$driver = new YamlDriver(array('/path/to/files'));
$config->setMetadataDriverImpl($driver);
Simplified YAML Driver
~~~~~~~~~~~~~~~~~~~~~~
The Symfony project sponsored a driver that simplifies usage of the YAML Driver.
The changes between the original driver are:
1. File Extension is .orm.yml
2. Filenames are shortened, "MyProject\Entities\User" will become User.orm.yml
3. You can add a global file and add multiple entities in this file.
Configuration of this client works a little bit different:
.. code-block:: php
<?php
$namespaces = array(
'/path/to/files1' => 'MyProject\Entities',
'/path/to/files2' => 'OtherProject\Entities'
);
$driver = new \Doctrine\ORM\Mapping\Driver\SimplifiedYamlDriver($namespaces);
$driver->setGlobalBasename('global'); // global.orm.yml
Example
-------
As a quick start, here is a small example document that makes use
of several common elements:
.. code-block:: yaml
# Doctrine.Tests.ORM.Mapping.User.dcm.yml
Doctrine\Tests\ORM\Mapping\User:
type: entity
table: cms_users
indexes:
name_index:
columns: [ name ]
id:
id:
type: integer
generator:
strategy: AUTO
fields:
name:
type: string
length: 50
oneToOne:
address:
targetEntity: Address
joinColumn:
name: address_id
referencedColumnName: id
oneToMany:
phonenumbers:
targetEntity: Phonenumber
mappedBy: user
cascade: ["persist", "merge"]
manyToMany:
groups:
targetEntity: Group
joinTable:
name: cms_users_groups
joinColumns:
user_id:
referencedColumnName: id
inverseJoinColumns:
group_id:
referencedColumnName: id
lifecycleCallbacks:
prePersist: [ doStuffOnPrePersist, doOtherStuffOnPrePersistToo ]
postPersist: [ doStuffOnPostPersist ]
Be aware that class-names specified in the YAML files should be
fully qualified.

80
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Welcome to Doctrine 2 ORM's documentation!
==========================================
Tutorials
---------
.. toctree::
:maxdepth: 1
tutorials/getting-started
tutorials/working-with-indexed-associations
tutorials/extra-lazy-associations
tutorials/composite-primary-keys
tutorials/ordered-associations
tutorials/in-ten-quick-steps
tutorials/override-field-association-mappings-in-subclasses
Reference Guide
---------------
.. toctree::
:maxdepth: 1
:numbered:
reference/introduction
reference/architecture
reference/configuration
reference/faq
reference/basic-mapping
reference/association-mapping
reference/inheritance-mapping
reference/working-with-objects
reference/working-with-associations
reference/events
reference/unitofwork
reference/unitofwork-associations
reference/transactions-and-concurrency
reference/batch-processing
reference/dql-doctrine-query-language
reference/query-builder
reference/native-sql
reference/change-tracking-policies
reference/partial-objects
reference/xml-mapping
reference/yaml-mapping
reference/annotations-reference
reference/php-mapping
reference/caching
reference/improving-performance
reference/tools
reference/metadata-drivers
reference/best-practices
reference/limitations-and-known-issues
tutorials/pagination.rst
reference/filters.rst
reference/namingstrategy.rst
Cookbook
--------
.. toctree::
:maxdepth: 1
cookbook/aggregate-fields
cookbook/decorator-pattern
cookbook/dql-custom-walkers
cookbook/dql-user-defined-functions
cookbook/implementing-arrayaccess-for-domain-objects
cookbook/implementing-the-notify-changetracking-policy
cookbook/implementing-wakeup-or-clone
cookbook/integrating-with-codeigniter
cookbook/sql-table-prefixes
cookbook/strategy-cookbook-introduction
cookbook/validation-of-entities
cookbook/working-with-datetime
cookbook/mysql-enums
cookbook/advanced-field-value-conversion-using-custom-mapping-types
cookbook/entities-in-session

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Composite and Foreign Keys as Primary Key
=========================================
Doctrine 2 supports composite primary keys natively. Composite keys are a very powerful relational database concept
and we took good care to make sure Doctrine 2 supports as many of the composite primary key use-cases.
For Doctrine 2.0 composite keys of primitive data-types are supported, for Doctrine 2.1 even foreign keys as
primary keys are supported.
This tutorial shows how the semantics of composite primary keys work and how they map to the database.
General Considerations
~~~~~~~~~~~~~~~~~~~~~~
Every entity with a composite key cannot use an id generator other than "ASSIGNED". That means
the ID fields have to have their values set before you call ``EntityManager#persist($entity)``.
Primitive Types only
~~~~~~~~~~~~~~~~~~~~
Even in version 2.0 you can have composite keys as long as they only consist of the primative types
``integer`` and ``string``. Suppose you want to create a database of cars and use the model-name
and year of production as primary keys:
.. configuration-block::
.. code-block:: php
<?php
namespace VehicleCatalogue\Model;
/**
* @Entity
*/
class Car
{
/** @Id @Column(type="string") */
private $name;
/** @Id @Column(type="integer") */
private $year
public function __construct($name, $year)
{
$this->name = $name;
$this->year = $year;
}
public function getModelName()
{
return $this->name;
}
public function getYearOfProduction()
{
return $this->year;
}
}
.. code-block:: xml
<?xml version="1.0" encoding="UTF-8"?>
<doctrine-mapping xmlns="http://doctrine-project.org/schemas/orm/doctrine-mapping"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://doctrine-project.org/schemas/orm/doctrine-mapping
http://www.doctrine-project.org/schemas/orm/doctrine-mapping.xsd">
<entity name="VehicleCatalogue\Model\Car">
<id field="name" type="string" />
<id field="year" type="integer" />
</entity>
</doctrine-mapping>
.. code-block:: yaml
VehicleCatalogue\Model\Car:
type: entity
id:
name:
type: string
year:
type: integer
Now you can use this entity:
.. code-block:: php
<?php
namespace VehicleCatalogue\Model;
// $em is the EntityManager
$car = new Car("Audi A8", 2010);
$em->persist($car);
$em->flush();
And for querying you can use arrays to both DQL and EntityRepositories:
.. code-block:: php
<?php
namespace VehicleCatalogue\Model;
// $em is the EntityManager
$audi = $em->find("VehicleCatalogue\Model\Car", array("name" => "Audi A8", "year" => 2010));
$dql = "SELECT c FROM VehicleCatalogue\Model\Car c WHERE c.id = ?1";
$audi = $em->createQuery($dql)
->setParameter(1, array("name" => "Audi A8", "year" => 2010))
->getSingleResult();
You can also use this entity in associations. Doctrine will then generate two foreign keys one for ``name``
and to ``year`` to the related entities.
.. note::
This example shows how you can nicely solve the requirement for existing
values before ``EntityManager#persist()``: By adding them as mandatory values for the constructor.
Identity through foreign Entities
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. note::
Identity through foreign entities is only supported with Doctrine 2.1
There are tons of use-cases where the identity of an Entity should be determined by the entity
of one or many parent entities.
- Dynamic Attributes of an Entity (for example Article). Each Article has many
attributes with primary key "article_id" and "attribute_name".
- Address object of a Person, the primary key of the adress is "user_id". This is not a case of a composite primary
key, but the identity is derived through a foreign entity and a foreign key.
- Join Tables with metadata can be modelled as Entity, for example connections between two articles
with a little description and a score.
The semantics of mapping identity through foreign entities are easy:
- Only allowed on Many-To-One or One-To-One associations.
- Plug an ``@Id`` annotation onto every association.
- Set an attribute ``association-key`` with the field name of the association in XML.
- Set a key ``associationKey:`` with the field name of the association in YAML.
Use-Case 1: Dynamic Attributes
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
We keep up the example of an Article with arbitrary attributes, the mapping looks like this:
.. configuration-block::
.. code-block:: php
<?php
namespace Application\Model;
use Doctrine\Common\Collections\ArrayCollection;
/**
* @Entity
*/
class Article
{
/** @Id @Column(type="integer") @GeneratedValue */
private $id;
/** @Column(type="string") */
private $title;
/**
* @OneToMany(targetEntity="ArticleAttribute", mappedBy="article", cascade={"ALL"}, indexBy="attribute")
*/
private $attributes;
public function addAttribute($name, $value)
{
$this->attributes[$name] = new ArticleAttribute($name, $value, $this);
}
}
/**
* @Entity
*/
class ArticleAttribute
{
/** @Id @ManyToOne(targetEntity="Article", inversedBy="attributes") */
private $article;
/** @Id @Column(type="string") */
private $attribute;
/** @Column(type="string") */
private $value;
public function __construct($name, $value, $article)
{
$this->attribute = $name;
$this->value = $value;
$this->article = $article;
}
}
.. code-block:: xml
<doctrine-mapping xmlns="http://doctrine-project.org/schemas/orm/doctrine-mapping"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://doctrine-project.org/schemas/orm/doctrine-mapping
http://doctrine-project.org/schemas/orm/doctrine-mapping.xsd">
<entity name="Application\Model\ArticleAttribute">
<id name="article" association-key="true" />
<id name="attribute" type="string" />
<field name="value" type="string" />
<many-to-one field="article" target-entity="Article" inversed-by="attributes" />
<entity>
</doctrine-mapping>
.. code-block:: yaml
Application\Model\ArticleAttribute:
type: entity
id:
article:
associationKey: true
attribute:
type: string
fields:
value:
type: string
manyToOne:
article:
targetEntity: Article
inversedBy: attributes
Use-Case 2: Simple Derived Identity
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Sometimes you have the requirement that two objects are related by a One-To-One association
and that the dependent class should re-use the primary key of the class it depends on.
One good example for this is a user-address relationship:
.. code-block:: php
<?php
/**
* @Entity
*/
class User
{
/** @Id @Column(type="integer") @GeneratedValue */
private $id;
}
/**
* @Entity
*/
class Address
{
/** @Id @OneToOne(targetEntity="User") */
private $user;
}
Use-Case 3: Join-Table with Metadata
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In the classic order product shop example there is the concept of the order item
which contains references to order and product and additional data such as the amount
of products purchased and maybe even the current price.
.. code-block:: php
<?php
use Doctrine\Common\Collections\ArrayCollection;
/** @Entity */
class Order
{
/** @Id @Column(type="integer") @GeneratedValue */
private $id;
/** @ManyToOne(targetEntity="Customer") */
private $customer;
/** @OneToMany(targetEntity="OrderItem", mappedBy="order") */
private $items;
/** @Column(type="boolean") */
private $payed = false;
/** @Column(type="boolean") */
private $shipped = false;
/** @Column(type="datetime") */
private $created;
public function __construct(Customer $customer)
{
$this->customer = $customer;
$this->items = new ArrayCollection();
$this->created = new \DateTime("now");
}
}
/** @Entity */
class Product
{
/** @Id @Column(type="integer") @GeneratedValue */
private $id;
/** @Column(type="string") */
private $name;
/** @Column(type="decimal") */
private $currentPrice;
public function getCurrentPrice()
{
return $this->currentPrice;
}
}
/** @Entity */
class OrderItem
{
/** @Id @ManyToOne(targetEntity="Order") */
private $order;
/** @Id @ManyToOne(targetEntity="Product") */
private $product;
/** @Column(type="integer") */
private $amount = 1;
/** @Column(type="decimal") */
private $offeredPrice;
public function __construct(Order $order, Product $product, $amount = 1)
{
$this->order = $order;
$this->product = $product;
$this->offeredPrice = $product->getCurrentPrice();
}
}
Performance Considerations
~~~~~~~~~~~~~~~~~~~~~~~~~~
Using composite keys always comes with a performance hit compared to using entities with
a simple surrogate key. This performance impact is mostly due to additional PHP code that is
necessary to handle this kind of keys, most notably when using derived identifiers.
On the SQL side there is not much overhead as no additional or unexpected queries have to be
executed to manage entities with derived foreign keys.

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Extra Lazy Associations
=======================
In many cases associations between entities can get pretty large. Even in a simple scenario like a blog.
where posts can be commented, you always have to assume that a post draws hundreds of comments.
In Doctrine 2.0 if you accessed an association it would always get loaded completely into memory. This
can lead to pretty serious performance problems, if your associations contain several hundreds or thousands
of entities.
With Doctrine 2.1 a feature called **Extra Lazy** is introduced for associations. Associations
are marked as **Lazy** by default, which means the whole collection object for an association is populated
the first time its accessed. If you mark an association as extra lazy the following methods on collections
can be called without triggering a full load of the collection:
- ``Collection#contains($entity)``
- ``Collection#count()``
- ``Collection#slice($offset, $length = null)``
For each of this three methods the following semantics apply:
- For each call, if the Collection is not yet loaded, issue a straight SELECT statement against the database.
- For each call, if the collection is already loaded, fallback to the default functionality for lazy collections. No additional SELECT statements are executed.
Additionally even with Doctrine 2.0 the following methods do not trigger the collection load:
- ``Collection#add($entity)``
- ``Collection#offsetSet($key, $entity)`` - ArrayAccess with no specific key ``$coll[] = $entity``, it does
not work when setting specific keys like ``$coll[0] = $entity``.
With extra lazy collections you can now not only add entities to large collections but also paginate them
easily using a combination of ``count`` and ``slice``.
Enabling Extra-Lazy Associations
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The mapping configuration is simple. Instead of using the default value of ``fetch="LAZY"`` you have to
switch to extra lazy as shown in these examples:
.. configuration-block::
.. code-block:: php
<?php
namespace Doctrine\Tests\Models\CMS;
/**
* @Entity
*/
class CmsGroup
{
/**
* @ManyToMany(targetEntity="CmsUser", mappedBy="groups", fetch="EXTRA_LAZY")
*/
public $users;
}
.. code-block:: xml
<?xml version="1.0" encoding="UTF-8"?>
<doctrine-mapping xmlns="http://doctrine-project.org/schemas/orm/doctrine-mapping"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://doctrine-project.org/schemas/orm/doctrine-mapping
http://www.doctrine-project.org/schemas/orm/doctrine-mapping.xsd">
<entity name="Doctrine\Tests\Models\CMS\CmsGroup">
<!-- ... -->
<many-to-many field="users" target-entity="CmsUser" mapped-by="groups" fetch="EXTRA_LAZY" />
</entity>
</doctrine-mapping>
.. code-block:: yaml
Doctrine\Tests\Models\CMS\CmsGroup:
type: entity
# ...
manyToMany:
users:
targetEntity: CmsUser
mappedBy: groups
fetch: EXTRA_LAZY

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Getting Started: Database First
===============================
.. note:: *Development Workflows*
When you :doc:`Code First <getting-started>`, you
start with developing Objects and then map them onto your database. When
you :doc:`Model First <getting-started-models>`, you are modelling your application using tools (for
example UML) and generate database schema and PHP code from this model.
When you have a :doc:`Database First <getting-started-database>`, you already have a database schema
and generate the corresponding PHP code from it.
.. note::
This getting started guide is in development.
Development of new applications often starts with an existing database schema.
When the database schema is the starting point for your application, then
development is said to use the *Database First* approach to Doctrine.
In this workflow you would modify the database schema first and then
regenerate the PHP code to use with this schema. You need a flexible
code-generator for this task and up to Doctrine 2.2, the code generator hasn't
been flexible enough to achieve this.
We spinned off a subproject, Doctrine CodeGenerator, that will fill this gap and
allow you to do *Database First* development.

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Getting Started: Model First
============================
.. note:: *Development Workflows*
When you :doc:`Code First <getting-started>`, you
start with developing Objects and then map them onto your database. When
you :doc:`Model First <getting-started-models>`, you are modelling your application using tools (for
example UML) and generate database schema and PHP code from this model.
When you have a :doc:`Database First <getting-started-database>`, then you already have a database schema
and generate the corresponding PHP code from it.
.. note::
This getting started guide is in development.
There are applications when you start with a high-level description of the
model using modelling tools such as UML. Modelling tools could also be Excel,
XML or CSV files that describe the model in some structured way. If your
application is using a modelling tool, then the development workflow is said to
be a *Model First* approach to Doctrine2.
In this workflow you always change the model description and then regenerate
both PHP code and database schema from this model.

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Doctrine explained in 10 quick steps
====================================
You can follow this tutorial step by step yourself and end up with a simple
Doctrine application. It assumed that you installed Doctrine via PEAR. To work
with another setup just take a look into the :doc:`Installation help
<../reference/introduction>`.
1. Allows you to map PHP Objects to database tables
---------------------------------------------------
.. code-block:: php
<?php
class Post
{
protected $id;
protected $title;
protected $body;
}
::
mysql> CREATE TABLE Post (id INT AUTO_INCREMENT PRIMARY KEY, title
VARCHAR(255), body TEXT);
mysql> DESCRIBE Post;
+-------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| title | varchar(255) | YES | | NULL | |
| body | text | YES | | NULL | |
+-------+--------------+------+-----+---------+----------------+
.. tip::
Objects mapped with Doctrine are called Entities. They don't need to extend
a base class and even allow constructors with required parameters.
You are responsible for implementing getters, setters and constructors of
your entities yourself. This gives you full freedom to design your business
objects as you wish.
2. Using Annotations, XML or YAML for Metadata Mapping
------------------------------------------------------
.. configuration-block::
.. code-block:: php
<?php
/** @Entity **/
class Post
{
/** @Id @GeneratedValue @Column(type="integer") **/
protected $id;
/** @Column(type="string") **/
protected $title;
/** @Column(type="text") **/
protected $body;
}
.. code-block:: yaml
Post:
type: entity
id:
id:
type: integer
generator:
strategy: AUTO
fields:
title:
type: string
body:
type: text
.. code-block:: xml
<?xml version="1.0" ?>
<doctrine-mapping>
<entity name="Post">
<id name="id type="integer">
<generator strategy="AUTO" />
</id>
<field name="title" type="string" />
<field name="body" type="text" />
</entity>
</doctrine-mapping>
3. Object References map to Foreign keys
----------------------------------------
.. code-block:: php
<?php
/** @Entity **/
class Post
{
// .. previous code
/**
* @ManyToOne(targetEntity="User")
**/
protected $author;
public function __construct(User $user)
{
$this->author = $user;
}
}
/** @Entity **/
class User
{
/** @Id @GeneratedValue @Column(type="integer") **/
protected $id;
/** @Column(type="string") **/
protected $name;
}
$user = new User();
$post = new Post($user);
::
mysql> CREATE TABLE Post (id INT AUTO_INCREMENT PRIMARY KEY, title
VARCHAR(255), body TEXT, author_id INT);
mysql> CREATE TABLE User (id INT AUTO_INCREMENT PRIMARY KEY, name
VARCHAR(255));
mysql> ALTER TABLE Post ADD FOREIGN KEY (author_id) REFERENCES User (id);
mysql> DESCRIBE Post;
+-----------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-----------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment |
| title | varchar(255) | YES | | NULL | |
| body | text | YES | | NULL | |
| author_id | int(11) | YES | MUL | NULL | |
+-----------+--------------+------+-----+---------+----------------+
.. tip::
This means you don't have to mess with foreign keys yourself, just use
references to connect objects with each other and let Doctrine handle the
rest.
4. Collections handle sets of objects references
------------------------------------------------
.. code-block:: php
<?php
use Doctrine\Common\Collections\ArrayCollection;
class Post
{
// .. previous code
/**
* @OneToMany(targetEntity="Comment", mappedBy="post",
* cascade={"persist"})
**/
protected $comments;
public function __construct(User $author)
{
$this->author = $author;
$this->posts = new ArrayCollection();
}
public function addComment($text)
{
$this->comments[] = new Comment($this, $text);
}
}
/** @Entity **/
class Comment
{
/** @Id @GeneratedValue @Column(type="integer") **/
protected $id;
/** @Column(type="text") **/
protected $comment;
/**
* @ManyToOne(targetEntity="Post", inversedBy="comments")
**/
protected $post;
public function __construct(Post $post, $text)
{
$this->post = $post;
$this->comment = $text;
}
}
$post->addComment("First..");
$post->addComment("Second!");
5. Easy to setup for the default configuration case
---------------------------------------------------
.. code-block:: php
<?php
use Doctrine\ORM\Tools\Setup;
use Doctrine\ORM\EntityManager;
require_once 'Doctrine/Common/ClassLoader.php';
$loader = new \Doctrine\Common\ClassLoader("Doctrine");
$loader->register();
$dbParams = array(
'driver' => 'pdo_mysql',
'user' => 'root',
'password' => '',
'dbname' => 'tests'
);
$path = 'path/to/entities';
$config = Setup::createAnnotationMetadataConfiguration($path, true);
$entityManager = EntityManager::create($dbParams, $config);
6. The EntityManager needs to know about your new objects
---------------------------------------------------------
.. code-block:: php
<?php
$entityManager->persist($user);
$entityManager->persist($post);
.. warning::
This does not lead to INSERT/UPDATE statements yet. You need to call
EntityManager#flush()
7. EntityManager#flush() batches SQL INSERT/UPDATE/DELETE statements
--------------------------------------------------------------------
.. code-block:: php
<?php
$entityManager->flush();
.. tip::
Batching all write-operations against the database allows Doctrine to wrap all
statements into a single transaction and benefit from other performance
optimizations such as prepared statement re-use.
8. You can fetch objects from the database through the EntityManager
--------------------------------------------------------------------
.. code-block:: php
<?php
$post = $entityManager->find("Post", $id);
9. ..or through a Repository
----------------------------
.. code-block:: php
<?php
$authorRepository = $entityManager->getRepository("Author");
$author = $authorRepository->find($authorId);
$postRepository = $entityManager->getRepository("Post");
$post = $postRepository->findOneBy(array("title" => "Hello World!"));
$posts = $repository->findBy(
array("author" => $author),
array("title" => "ASC")
);
10. Or complex finder scenarios with the Doctrine Query Language
----------------------------------------------------------------
.. code-block:: php
<?php
// all posts and their comment count
$dql = "SELECT p, count(c.id) AS comments " .
"FROM Post p JOIN p.comments GROUP BY p";
$results = $entityManager->createQuery($dql)->getResult();

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Ordering To-Many Associations
-----------------------------
There are use-cases when you'll want to sort collections when they are
retrieved from the database. In userland you do this as long as you
haven't initially saved an entity with its associations into the
database. To retrieve a sorted collection from the database you can
use the ``@OrderBy`` annotation with an collection that specifies
an DQL snippet that is appended to all queries with this
collection.
Additional to any ``@OneToMany`` or ``@ManyToMany`` annotation you
can specify the ``@OrderBy`` in the following way:
.. code-block:: php
<?php
/** @Entity **/
class User
{
// ...
/**
* @ManyToMany(targetEntity="Group")
* @OrderBy({"name" = "ASC"})
**/
private $groups;
}
.. code-block:: xml
<doctrine-mapping>
<entity name="User">
<many-to-many field="groups" target-entity="Group">
<order-by>
<order-by-field name="name" direction="ASC" />
</order-by>
</many-to-many>
</entity>
</doctrine-mapping>
The DQL Snippet in OrderBy is only allowed to consist of
unqualified, unquoted field names and of an optional ASC/DESC
positional statement. Multiple Fields are separated by a comma (,).
The referenced field names have to exist on the ``targetEntity``
class of the ``@ManyToMany`` or ``@OneToMany`` annotation.
The semantics of this feature can be described as follows.
- ``@OrderBy`` acts as an implicit ORDER BY clause for the given
fields, that is appended to all the explicitly given ORDER BY
items.
- All collections of the ordered type are always retrieved in an
ordered fashion.
- To keep the database impact low, these implicit ORDER BY items
are only added to an DQL Query if the collection is fetch joined in
the DQL query.
Given our previously defined example, the following would not add
ORDER BY, since g is not fetch joined:
.. code-block:: sql
SELECT u FROM User u JOIN u.groups g WHERE SIZE(g) > 10
However the following:
.. code-block:: sql
SELECT u, g FROM User u JOIN u.groups g WHERE u.id = 10
...would internally be rewritten to:
.. code-block:: sql
SELECT u, g FROM User u JOIN u.groups g WHERE u.id = 10 ORDER BY g.name ASC
You can reverse the order with an explicit DQL ORDER BY:
.. code-block:: sql
SELECT u, g FROM User u JOIN u.groups g WHERE u.id = 10 ORDER BY g.name DESC
...is internally rewritten to:
.. code-block:: sql
SELECT u, g FROM User u JOIN u.groups g WHERE u.id = 10 ORDER BY g.name DESC, g.name ASC

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Override Field Association Mappings In Subclasses
-------------------------------------------------
Sometimes there is a need to persist entities but override all or part of the
mapping metadata. Sometimes also the mapping to override comes from entities
using traits where the traits have mapping metadata.
This tutorial explains how to override mapping metadata,
i.e. attributes and associations metadata in particular. The example here shows
the overriding of a class that uses a trait but is similar when extending a base
class as shown at the end of this tutorial.
Suppose we have a class ExampleEntityWithOverride. This class uses trait ExampleTrait:
.. code-block:: php
<?php
/**
* @Entity
*
* @AttributeOverrides({
* @AttributeOverride(name="foo",
* column=@Column(
* name = "foo_overridden",
* type = "integer",
* length = 140,
* nullable = false,
* unique = false
* )
* )
* })
*
* @AssociationOverrides({
* @AssociationOverride(name="bar",
* joinColumns=@JoinColumn(
* name="example_entity_overridden_bar_id", referencedColumnName="id"
* )
* )
* })
*/
class ExampleEntityWithOverride
{
use ExampleTrait;
}
/**
* @Entity
*/
class Bar
{
/** @Id @Column(type="string") */
private $id;
}
The docblock is showing metadata override of the attribute and association type. It
basically changes the names of the columns mapped for a property ``foo`` and for
the association ``bar`` which relates to Bar class shown above. Here is the trait
which has mapping metadata that is overridden by the annotation above:
.. code-block:: php
/**
* Trait class
*/
trait ExampleTrait
{
/** @Id @Column(type="string") */
private $id;
/**
* @Column(name="trait_foo", type="integer", length=100, nullable=true, unique=true)
*/
protected $foo;
/**
* @OneToOne(targetEntity="Bar", cascade={"persist", "merge"})
* @JoinColumn(name="example_trait_bar_id", referencedColumnName="id")
*/
protected $bar;
}
The case for just extending a class would be just the same but:
.. code-block:: php
class ExampleEntityWithOverride extends BaseEntityWithSomeMapping
{
// ...
}
Overriding is also supported via XML and YAML.

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Pagination
==========
Starting with version 2.2 Doctrine ships with a Paginator for DQL queries. It
has a very simple API and implements the SPL interfaces ``Countable`` and
``IteratorAggregate``.
.. code-block:: php
<?php
use Doctrine\ORM\Tools\Pagination\Paginator;
$dql = "SELECT p, c FROM BlogPost p JOIN p.comments c";
$query = $entityManager->createQuery($dql)
->setFirstResult(0)
->setMaxResults(100);
$paginator = new Paginator($query, $fetchJoinCollection = true);
$c = count($paginator);
foreach ($paginator as $post) {
echo $post->getHeadline() . "\n";
}
Paginating Doctrine queries is not as simple as you might think in the
beginning. If you have complex fetch-join scenarios with one-to-many or
many-to-many associations using the "default" LIMIT functionality of database
vendors is not sufficient to get the correct results.
By default the pagination extension does the following steps to compute the
correct result:
- Perform a Count query using `DISTINCT` keyword.
- Perform a Limit Subquery with `DISTINCT` to find all ids of the entity in from on the current page.
- Perform a WHERE IN query to get all results for the current page.
This behavior is only necessary if you actually fetch join a to-many
collection. You can disable this behavior by setting the
``$fetchJoinCollection`` flag to ``false``; in that case only 2 instead of the 3 queries
described are executed. We hope to automate the detection for this in
the future.

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Working with Indexed Associations
=================================
.. note::
This feature is scheduled for version 2.1 of Doctrine and not included in the 2.0.x series.
Doctrine 2 collections are modelled after PHPs native arrays. PHP arrays are an ordered hashmap, but in
the first version of Doctrine keys retrieved from the database were always numerical unless ``INDEX BY``
was used. Starting with Doctrine 2.1 you can index your collections by a value in the related entity.
This is a first step towards full ordered hashmap support through the Doctrine ORM.
The feature works like an implicit ``INDEX BY`` for the selected association but has several
downsides also:
- You have to manage both the key and field if you want to change the index by field value.
- On each request the keys are regenerated from the field value not from the previous collection key.
- Values of the Index-By keys are never considered during persistence, it only exists for accessing purposes.
- Fields that are used for the index by feature **HAVE** to be unique in the database. The behavior for multiple entities
with the same index-by field value is undefined.
As an example we will design a simple stock exchange list view. The domain consists of the entity ``Stock``
and ``Market`` where each Stock has a symbol and is traded on a single market. Instead of having a numerical
list of stocks traded on a market they will be indexed by their symbol, which is unique across all markets.
Mapping Indexed Associations
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
You can map indexed associations by adding:
* ``indexBy`` attribute to any ``@OneToMany`` or ``@ManyToMany`` annotation.
* ``index-by`` attribute to any ``<one-to-many />`` or ``<many-to-many />`` xml element.
* ``indexBy:`` key-value pair to any association defined in ``manyToMany:`` or ``oneToMany:`` YAML mapping files.
The code and mappings for the Market entity looks like this:
.. configuration-block::
.. code-block:: php
<?php
namespace Doctrine\Tests\Models\StockExchange;
use Doctrine\Common\Collections\ArrayCollection;
/**
* @Entity
* @Table(name="exchange_markets")
*/
class Market
{
/**
* @Id @Column(type="integer") @GeneratedValue
* @var int
*/
private $id;
/**
* @Column(type="string")
* @var string
*/
private $name;
/**
* @OneToMany(targetEntity="Stock", mappedBy="market", indexBy="symbol")
* @var Stock[]
*/
private $stocks;
public function __construct($name)
{
$this->name = $name;
$this->stocks = new ArrayCollection();
}
public function getId()
{
return $this->id;
}
public function getName()
{
return $this->name;
}
public function addStock(Stock $stock)
{
$this->stocks[$stock->getSymbol()] = $stock;
}
public function getStock($symbol)
{
if (!isset($this->stocks[$symbol])) {
throw new \InvalidArgumentException("Symbol is not traded on this market.");
}
return $this->stocks[$symbol];
}
public function getStocks()
{
return $this->stocks->toArray();
}
}
.. code-block:: xml
<?xml version="1.0" encoding="UTF-8"?>
<doctrine-mapping xmlns="http://doctrine-project.org/schemas/orm/doctrine-mapping"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://doctrine-project.org/schemas/orm/doctrine-mapping
http://www.doctrine-project.org/schemas/orm/doctrine-mapping.xsd">
<entity name="Doctrine\Tests\Models\StockExchange\Market">
<id name="id" type="integer">
<generator strategy="AUTO" />
</id>
<field name="name" type="string"/>
<one-to-many target-entity="Stock" mapped-by="market" field="stocks" index-by="symbol" />
</entity>
</doctrine-mapping>
.. code-block:: yaml
Doctrine\Tests\Models\StockExchange\Market:
type: entity
id:
id:
type: integer
generator:
strategy: AUTO
fields:
name:
type:string
oneToMany:
stocks:
targetEntity: Stock
mappedBy: market
indexBy: symbol
Inside the ``addStock()`` method you can see how we directly set the key of the association to the symbol,
so that we can work with the indexed association directly after invoking ``addStock()``. Inside ``getStock($symbol)``
we pick a stock traded on the particular market by symbol. If this stock doesn't exist an exception is thrown.
The ``Stock`` entity doesn't contain any special instructions that are new, but for completeness
here are the code and mappings for it:
.. configuration-block::
.. code-block:: php
<?php
namespace Doctrine\Tests\Models\StockExchange;
/**
* @Entity
* @Table(name="exchange_stocks")
*/
class Stock
{
/**
* @Id @GeneratedValue @Column(type="integer")
* @var int
*/
private $id;
/**
* For real this column would have to be unique=true. But I want to test behavior of non-unique overrides.
*
* @Column(type="string", unique=true)
*/
private $symbol;
/**
* @ManyToOne(targetEntity="Market", inversedBy="stocks")
* @var Market
*/
private $market;
public function __construct($symbol, Market $market)
{
$this->symbol = $symbol;
$this->market = $market;
$market->addStock($this);
}
public function getSymbol()
{
return $this->symbol;
}
}
.. code-block:: xml
<?xml version="1.0" encoding="UTF-8"?>
<doctrine-mapping xmlns="http://doctrine-project.org/schemas/orm/doctrine-mapping"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://doctrine-project.org/schemas/orm/doctrine-mapping
http://www.doctrine-project.org/schemas/orm/doctrine-mapping.xsd">
<entity name="Doctrine\Tests\Models\StockExchange\Stock">
<id name="id" type="integer">
<generator strategy="AUTO" />
</id>
<field name="symbol" type="string" unique="true" />
<many-to-one target-entity="Market" field="market" inversed-by="stocks" />
</entity>
</doctrine-mapping>
.. code-block:: yaml
Doctrine\Tests\Models\StockExchange\Stock:
type: entity
id:
id:
type: integer
generator:
strategy: AUTO
fields:
symbol:
type: string
manyToOne:
market:
targetEntity: Market
inversedBy: stocks
Querying indexed associations
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Now that we defined the stocks collection to be indexed by symbol we can take a look at some code,
that makes use of the indexing.
First we will populate our database with two example stocks traded on a single market:
.. code-block:: php
<?php
// $em is the EntityManager
$market = new Market("Some Exchange");
$stock1 = new Stock("AAPL", $market);
$stock2 = new Stock("GOOG", $market);
$em->persist($market);
$em->persist($stock1);
$em->persist($stock2);
$em->flush();
This code is not particular interesting since the indexing feature is not yet used. In a new request we could
now query for the market:
.. code-block:: php
<?php
// $em is the EntityManager
$marketId = 1;
$symbol = "AAPL";
$market = $em->find("Doctrine\Tests\Models\StockExchange\Market", $marketId);
// Access the stocks by symbol now:
$stock = $market->getStock($symbol);
echo $stock->getSymbol(); // will print "AAPL"
The implementation ``Market::addStock()`` in combination with ``indexBy`` allows to access the collection
consistently by the Stock symbol. It does not matter if Stock is managed by Doctrine or not.
The same applies to DQL queries: The ``indexBy`` configuration acts as implicit "INDEX BY" to a join association.
.. code-block:: php
<?php
// $em is the EntityManager
$marketId = 1;
$symbol = "AAPL";
$dql = "SELECT m, s FROM Doctrine\Tests\Models\StockExchange\Market m JOIN m.stocks s WHERE m.id = ?1";
$market = $em->createQuery($dql)
->setParameter(1, $marketId)
->getSingleResult();
// Access the stocks by symbol now:
$stock = $market->getStock($symbol);
echo $stock->getSymbol(); // will print "AAPL"
If you want to use ``INDEX BY`` explicitly on an indexed association you are free to do so. Additionally
indexed associations also work with the ``Collection::slice()`` functionality, no matter if marked as
LAZY or EXTRA_LAZY.
Outlook into the Future
~~~~~~~~~~~~~~~~~~~~~~~
For the inverse side of a many-to-many associations there will be a way to persist the keys and the order
as a third and fourth parameter into the join table. This feature is discussed in `DDC-213 <http://www.doctrine-project.org/jira/browse/DDC-213>`_
This feature cannot be implemented for One-To-Many associations, because they are never the owning side.