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84 Commits

Author SHA1 Message Date
Benjamin Eberlei
78fa740b94 Release 2.2.1 2012-03-03 22:26:27 +01:00
Benjamin Eberlei
715fdd7559 Merge branch 'DDC-1668' into 2.2 2012-03-03 22:25:36 +01:00
Benjamin Eberlei
884ef42075 [DDC-1668] Fix problem with the is_int fowards compatibility check. Its not really necesssary anymore, we should remove this code in the future. 2012-03-03 22:25:11 +01:00
Benjamin Eberlei
5d3a626c2b Merge branch 'DDC-1678' into 2.2 2012-03-03 22:17:07 +01:00
Francisco Facioni
587dda90d3 UnitTest for ManyToMany update notification 2012-03-03 22:16:44 +01:00
Francisco Facioni
21ae0d2a45 When using a ManyToMany relationship no listener is notified about any change to the owning entity.
What I'm doing with this patch is marking the entity for update when there is a modification in the ManyToMany relationship so the listeners are notified about it.

The main reason for this is for hooking up services like Solr or other indexers to update the entities even for ManyToMany relationships.
2012-03-03 22:16:44 +01:00
Benjamin Eberlei
f4dc533127 Bump Common to 2.2.1 2012-03-03 22:08:36 +01:00
Benjamin Eberlei
c9d1b3a428 Merge branch 'DDC-1652' into 2.2 2012-03-03 21:11:15 +01:00
Benjamin Eberlei
9170e1b810 [DDC-1652] Fix SqlWalker to include foreign key identifiers in SQL SELECT statement no matter what the meta column setting is suggesting. 2012-03-03 21:10:33 +01:00
Benjamin Eberlei
f1d2a79a87 Merge branch 'DDC-1673' into 2.2 2012-03-03 19:44:27 +01:00
Guilherme Blanco
dd2f3967cd [DDC-1673] Fixed unused in ProxyFactory. 2012-03-03 19:26:27 +01:00
Benjamin Eberlei
4100a6a7a3 Merge branch 'DDC-1667' into 2.2 2012-03-03 19:11:05 +01:00
Guilherme Blanco
bfb590459e [DDC-1667] Removed implicit obligation to define an Index and UniqueConstraint name. It is optional, but Annotations Driver was broken if not defined. 2012-03-03 19:10:06 +01:00
Sergio Moya
191520439b No unique join column fields for Single Table inheritance type. 2012-02-20 15:56:11 +01:00
Benjamin Eberlei
31709b4c1a Merge branch 'DDC-1649' into 2.2 2012-02-20 15:40:07 +01:00
Benjamin Eberlei
af6de10c5b [DDC-1649] Fix notice by last commit. 2012-02-20 15:39:39 +01:00
Benjamin Eberlei
f4a78e13ee [DDC-1649] Add additional check for not allowed mapping of dependent association keys. 2012-02-20 15:39:39 +01:00
Benjamin Eberlei
bd37b83f4f Merge branch 'DDC-1654' into 2.2 2012-02-20 10:34:27 +01:00
Benjamin Eberlei
19969e2d4b [DDC-1654] Add support for orphanRemoval on ManyToMany associations. This only makes sense when ManyToMany is used as uni-directional OneToMany association with join table. The join column has a unique constraint on it to enforce this on the DB level, but we dont validate that this actually happens. Foreign Key constraints help prevent issues and notify developers early if they use it wrong. 2012-02-20 10:33:43 +01:00
Benjamin Eberlei
573a7f81e1 Merge branch 'DDC-1659' into 2.2 2012-02-20 09:37:59 +01:00
Benjamin Eberlei
2460b3f115 [DDC-1659] Remove read only marker when clearing entities. 2012-02-20 09:37:11 +01:00
Benjamin Michotte
5f2fa7c08a Add fluent code for relations 2012-02-20 09:24:42 +01:00
Asmir Mustafic
a04df0622d nullable assoc 2012-02-20 00:32:30 +01:00
Benjamin Eberlei
b7e80decf3 Merge branch 'DDC-1651' into 2.2 2012-02-18 16:10:57 +01:00
Benjamin Eberlei
56d35f7932 [DDC-1651] Convert entities as parameters early in setParameter() to avoid them being part of result cache strings, which causes non-uniqueness. 2012-02-18 16:08:43 +01:00
Benjamin Eberlei
2116518096 Merge branch 'DDC-1643' into 2.2 2012-02-18 00:43:51 +01:00
Benjamin Eberlei
647bd2b2f2 [DDC-1643] Fix bugs when cloning PersistentCollection and re-using it. 2012-02-18 00:43:19 +01:00
Benjamin Eberlei
dadc85a650 Merge branch 'DDC-1655' into 2.2 2012-02-17 23:28:23 +01:00
Benjamin Eberlei
835943bd8d [DDC-1655][DDC-1650][DDC-1556] Fix issues with @postLoad Callback being not fired, or fired multiple times. 2012-02-17 23:27:35 +01:00
Benjamin Eberlei
39ff164c7e DDC-1641 - Fix test producing failure when skipped. 2012-02-10 21:38:42 +01:00
Benjamin Eberlei
5cdbc8ea6d Merge branch 'DDC-1634' into 2.2 2012-02-05 11:15:29 +01:00
Miha Vrhovnik
34ccde978a Proxy not initialized when parent has get<IDENTIFIER> function. Fixes DDC-1625 2012-02-05 11:14:55 +01:00
Benjamin Eberlei
5675e8cc8c Bump dev version to 2.2.1 2012-01-29 17:04:24 +01:00
Benjamin Eberlei
d679154fba Release 2.2.0 2012-01-29 17:04:23 +01:00
Benjamin Eberlei
7cf4337dc1 Bump and bind dependencies of ORM 2.2 2012-01-29 15:22:06 +01:00
Benjamin Eberlei
41cf2ce4b1 Fix test for non-mysql like datetimes. 2012-01-29 15:01:36 +01:00
Benjamin Eberlei
13b8d05def Bump dependencies to release versions. 2012-01-29 13:12:25 +01:00
Benjamin Eberlei
209d098672 Fix Oracle Tests 2012-01-29 13:09:51 +01:00
Benjamin Eberlei
53600484cd Merge branch 'DDC-1526' into 2.2 2012-01-28 12:26:54 +01:00
Benjamin Eberlei
ac25d62a24 [DDC-1526] Collections are not marked as initialized when they are fetch joined but dont contain any results. This only occurs when using LEFT JOINs on the assocations and causes another query to be fired when the empty collection is accessed again. 2012-01-28 12:26:25 +01:00
Benjamin Eberlei
f7936bda70 Merge branch 'DDC-1617' into 2.2 2012-01-28 11:17:08 +01:00
Benjamin Eberlei
78899cedac [DDC-1617] Implement support for Generating Unique Constraints/Indexes in @Table annotation of EntityGenerator. 2012-01-28 11:16:58 +01:00
Benjamin Eberlei
73fef2867f Merge remote-tracking branch 'origin/2.2' into 2.2 2012-01-25 23:29:44 +01:00
armetiz
c883ff2644 Update lib/Doctrine/ORM/Tools/SchemaTool.php 2012-01-25 22:06:37 +01:00
Benjamin Eberlei
7595025f26 Merge branch 'DDC-1619' into 2.2 2012-01-25 10:26:42 +01:00
Benjamin Eberlei
8fb6f986dd [DDC-1619] Add QueryBuilder#distinct 2012-01-25 10:25:38 +01:00
Benjamin Eberlei
6dbb368995 Merge branch 'DDC-1618' into 2.2 2012-01-25 00:02:44 +01:00
Thomas Rabaix
c39ad9250a Add SqlWalker::HINT_DISTINCT constant 2012-01-25 00:02:16 +01:00
Thomas Rabaix
8adc267d87 Fix DDC-1618 - add more check before throwing an iterateWithFetchJoinNotAllowed exception 2012-01-25 00:02:16 +01:00
Benjamin Eberlei
2a8dd72b33 Bump dev version to 2.2.0 2012-01-22 17:54:32 +01:00
Benjamin Eberlei
e44289dbdb Release 2.2.0-RC1 2012-01-22 17:54:32 +01:00
Benjamin Eberlei
dbf1c4cdb9 Bump DBAL to 2.2.0-RC3 2012-01-22 17:54:23 +01:00
Benjamin Eberlei
aa0c89e45e Fix MySqlSchemaTest failing with current DBAL adjustments. 2012-01-22 17:30:28 +01:00
Benjamin Eberlei
f77a1c2c8b Merge branch 'DDC-1613' into 2.2 2012-01-22 13:36:07 +01:00
Benjamin Eberlei
ab1835a9db [DDC-1613] Merge KnpLabs/Pagerfanta Pagination into a Doctrine\ORM\Tools\Pagination namespace. Thanks to @hobodave, pablo and the knplabs team for developing and maintaining this code. 2012-01-22 13:35:45 +01:00
Benjamin Eberlei
e5950d5fe9 Merge branch 'DDC-1603' into 2.2 2012-01-21 15:36:17 +01:00
armetiz
41f41d2bd8 Unique key name isn't correctly set - DDC-1603 2012-01-21 15:35:54 +01:00
Benjamin Eberlei
da47aa3ea2 Merge branch 'DDC-1610' into 2.2 2012-01-21 13:58:52 +01:00
Benjamin Eberlei
2f976ea03a [DDC-1610] Add test and fix wakeup reflection in combination with event listener 2012-01-21 13:58:44 +01:00
Benjamin Eberlei
e10d865b01 Merge branch 'DDC-1612' into 2.2 2012-01-21 13:07:00 +01:00
Benjamin Eberlei
d91e633eff [DDC-1612] Fix bug with EntityManager#flush($entity) on new entities. 2012-01-21 13:06:53 +01:00
Benjamin Eberlei
845d152604 Merge branch 'DBAL-204' into 2.2 2012-01-21 11:30:10 +01:00
Benjamin Eberlei
01eb894c4e [DBAL-204] Filter namespaced assets if Schemas/Emulation is not supported. 2012-01-21 11:29:48 +01:00
Benjamin Eberlei
d668d50ca4 DDC-742 - Flush Memcache, otherwise fail. 2012-01-18 21:31:49 +01:00
Benjamin Eberlei
cecfac5222 Merge branch 'DDC-1608' into 2.2 2012-01-18 20:15:26 +01:00
Guilherme Blanco
d391e28ffb Fixed DDC-1608. Non-initialized PersistentCollection methods removeElement and contains now deal correctly with managed entities. 2012-01-18 20:11:37 +01:00
Daniel Holmes
f94b405f6e Updated some comparisons to strict equality 2012-01-18 20:11:37 +01:00
Daniel Holmes
be6890e5aa Added fix for collection->contains when many-to-many extra lazy fetchMode 2012-01-18 20:11:37 +01:00
Guilherme Blanco
286eef1ca3 Fixes DDC-1596. Added table alias to discriminator column when using STI. 2012-01-16 14:09:29 +01:00
Guilherme Blanco
0aecff7f71 Added coverage to DDC-1595 and DDC-1596. 2012-01-16 14:01:57 +01:00
Guilherme Blanco
c73dae141f Fixed DDC-657. Added type conversion to scalar result. 2012-01-16 14:01:48 +01:00
Benjamin Eberlei
d535e1c2bc Merge branch 'DDC-1604' into 2.2 2012-01-16 12:52:22 +01:00
Benjamin Eberlei
f6d41ad9ce [DDC-1604] Have ORM Proxy implement new \Doctrine\Common\Persistence\Proxy
* Adjust ProxyFactory to generate proxies according to new naming schema.
* Change proxy naming and file-name generation to be a bit more consistent than previous approach.

[DDC-1598] Additional regexp to check for simple ID methods to make it even more safe.
2012-01-16 12:51:55 +01:00
Benjamin Eberlei
60de86e678 Fix 2.2 composer.json to have common and dbal versions correctly 2012-01-15 21:59:52 +01:00
jsor
a37aabb11f Pass options attribute in @Column annotation to Schema\Column's customSchemaOptions 2012-01-15 18:07:41 +01:00
Benjamin Eberlei
789ce1604f Merge branch 'DDC-1594' into 2.2 2012-01-15 17:44:53 +01:00
Benjamin Eberlei
e058b47966 DDC-1594 - Fix problem with merge and an existing managed proxy instance. 2012-01-15 17:43:00 +01:00
Benjamin Eberlei
7d77373a71 Merge branch 'DDC-1585' into 2.2 2012-01-15 14:59:48 +01:00
Benjamin Eberlei
b6896a04e5 DDC-1585 - Throw exception if setting target entity of the wrong type to an assocation. 2012-01-15 14:59:40 +01:00
Benjamin Eberlei
45fbc058a9 Merge remote-tracking branch 'origin/2.2' into 2.2 2012-01-15 12:15:17 +01:00
Benjamin Eberlei
1574d482fe Merge branch 'DDC-1601' into 2.2 2012-01-15 12:12:51 +01:00
Benjamin Eberlei
fb85cdfce0 [DDC-1601] Fix failing test and remove unused code 2012-01-15 12:12:40 +01:00
Benjamin Eberlei
0b6b87912c [DDC-1601] Fix bugs in SchemaValidator, using all modelsets as testdata for a large test 2012-01-15 12:12:40 +01:00
Benjamin Eberlei
212e1d6df6 Fix notice when using regenerate if exists and file is not new. 2012-01-12 11:21:11 +01:00
2363 changed files with 91971 additions and 236422 deletions

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@@ -1,135 +0,0 @@
{
"active": true,
"name": "Object Relational Mapper",
"shortName": "ORM",
"slug": "orm",
"docsSlug": "doctrine-orm",
"versions": [
{
"name": "4.0",
"branchName": "4.0.x",
"slug": "latest",
"upcoming": true
},
{
"name": "3.2",
"branchName": "3.2.x",
"slug": "3.2",
"upcoming": true
},
{
"name": "3.1",
"branchName": "3.1.x",
"slug": "3.1",
"current": true
},
{
"name": "3.0",
"branchName": "3.0.x",
"slug": "3.0",
"maintained": false
},
{
"name": "2.20",
"branchName": "2.20.x",
"slug": "2.20",
"upcoming": true
},
{
"name": "2.19",
"branchName": "2.19.x",
"slug": "2.19",
"maintained": true
},
{
"name": "2.18",
"branchName": "2.18.x",
"slug": "2.18",
"maintained": false
},
{
"name": "2.17",
"branchName": "2.17.x",
"slug": "2.17",
"maintained": false
},
{
"name": "2.16",
"branchName": "2.16.x",
"slug": "2.16",
"maintained": false
},
{
"name": "2.15",
"branchName": "2.15.x",
"slug": "2.15",
"maintained": false
},
{
"name": "2.14",
"branchName": "2.14.x",
"slug": "2.14",
"maintained": false
},
{
"name": "2.13",
"branchName": "2.13.x",
"slug": "2.13",
"maintained": false
},
{
"name": "2.12",
"branchName": "2.12.x",
"slug": "2.12",
"maintained": false
},
{
"name": "2.11",
"branchName": "2.11.x",
"slug": "2.11",
"maintained": false
},
{
"name": "2.10",
"branchName": "2.10.x",
"slug": "2.10",
"maintained": false
},
{
"name": "2.9",
"branchName": "2.9.x",
"slug": "2.9",
"maintained": false
},
{
"name": "2.8",
"branchName": "2.8.x",
"slug": "2.8",
"maintained": false
},
{
"name": "2.7",
"branchName": "2.7",
"slug": "2.7",
"maintained": false
},
{
"name": "2.6",
"branchName": "2.6",
"slug": "2.6",
"maintained": false
},
{
"name": "2.5",
"branchName": "2.5",
"slug": "2.5",
"maintained": false
},
{
"name": "2.4",
"branchName": "2.4",
"slug": "2.4",
"maintained": false
}
]
}

21
.gitattributes vendored
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@@ -1,21 +0,0 @@
/.github export-ignore
/ci export-ignore
/docs export-ignore
/tests export-ignore
/tools export-ignore
.doctrine-project.json export-ignore
.gitattributes export-ignore
.gitignore export-ignore
build.properties export-ignore
build.properties.dev export-ignore
build.xml export-ignore
CONTRIBUTING.md export-ignore
phpunit.xml.dist export-ignore
run-all.sh export-ignore
phpcs.xml.dist export-ignore
phpbench.json export-ignore
phpstan.neon export-ignore
phpstan-baseline.neon export-ignore
phpstan-dbal2.neon export-ignore
phpstan-params.neon export-ignore
phpstan-persistence2.neon export-ignore

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@@ -1,37 +0,0 @@
---
name: 💥 BC Break
about: Have you encountered an issue during upgrade? 💣
---
<!--
Before reporting a BC break, please consult the upgrading document to make sure it's not an expected change: https://github.com/doctrine/orm/blob/2.9.x/UPGRADE.md
-->
### BC Break Report
<!-- Fill in the relevant information below to help triage your issue. -->
| Q | A
|------------ | ------
| BC Break | yes
| Version | x.y.z
#### Summary
<!-- Provide a summary describing the problem you are experiencing. -->
#### Previous behavior
<!-- What was the previous (working) behavior? -->
#### Current behavior
<!-- What is the current (broken) behavior? -->
#### How to reproduce
<!--
Provide steps to reproduce the BC break.
If possible, also add a code snippet with relevant configuration, entity mappings, DQL etc.
Adding a failing Unit or Functional Test would help us a lot - you can submit it in a Pull Request separately, referencing this bug report.
-->

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@@ -1,34 +0,0 @@
---
name: 🐞 Bug Report
about: Something is broken? 🔨
---
### Bug Report
<!-- Fill in the relevant information below to help triage your issue. -->
| Q | A
|------------ | ------
| BC Break | yes/no
| Version | x.y.z
#### Summary
<!-- Provide a summary describing the problem you are experiencing. -->
#### Current behavior
<!-- What is the current (buggy) behavior? -->
#### How to reproduce
<!--
Provide steps to reproduce the bug.
If possible, also add a code snippet with relevant configuration, entity mappings, DQL etc.
Adding a failing Unit or Functional Test would help us a lot - you can submit one in a Pull Request separately, referencing this bug report.
-->
#### Expected behavior
<!-- What was the expected (correct) behavior? -->

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@@ -1,18 +0,0 @@
---
name: 🎉 Feature Request
about: You have a neat idea that should be implemented? 🎩
---
### Feature Request
<!-- Fill in the relevant information below to help triage your issue. -->
| Q | A
|------------ | ------
| New Feature | yes
| RFC | yes/no
| BC Break | yes/no
#### Summary
<!-- Provide a summary of the feature you would like to see implemented. -->

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@@ -1,6 +0,0 @@
---
name: ❓ Support Question
about: Have a problem that you can't figure out? 🤔
---
Please use https://github.com/doctrine/orm/discussions instead.

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@@ -1,19 +0,0 @@
---
name: 🐞 Failing Test
about: You found a bug and have a failing Unit or Functional test? 🔨
---
### Failing Test
<!-- Fill in the relevant information below to help triage your issue. -->
| Q | A
|------------ | ------
| BC Break | yes/no
| Version | x.y.z
#### Summary
<!-- Provide a summary of the failing scenario. -->

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@@ -1,18 +0,0 @@
---
name: ⚙ Improvement
about: You have some improvement to make Doctrine better? 🎁
---
### Improvement
<!-- Fill in the relevant information below to help triage your issue. -->
| Q | A
|------------ | ------
| New Feature | yes
| RFC | yes/no
| BC Break | yes/no
#### Summary
<!-- Provide a summary of the improvement you are submitting. -->

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@@ -1,26 +0,0 @@
---
name: 🎉 New Feature
about: You have implemented some neat idea that you want to make part of Doctrine? 🎩
---
<!--
Thank you for submitting new feature!
Pick the target branch based according to these criteria:
* submitting a bugfix: target the lowest active stable branch: 2.9.x
* submitting a new feature: target the next minor branch: 2.10.x
* submitting a BC-breaking change: target the next major branch: 3.0.x
-->
### New Feature
<!-- Fill in the relevant information below to help triage your issue. -->
| Q | A
|------------ | ------
| New Feature | yes
| RFC | yes/no
| BC Break | yes/no
#### Summary
<!-- Provide a summary of the feature you have implemented. -->

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@@ -1,27 +0,0 @@
name: "Coding Standards"
on:
pull_request:
branches:
- "*.x"
paths:
- .github/workflows/coding-standards.yml
- bin/**
- composer.*
- src/**
- phpcs.xml.dist
- tests/**
push:
branches:
- "*.x"
paths:
- .github/workflows/coding-standards.yml
- bin/**
- composer.*
- src/**
- phpcs.xml.dist
- tests/**
jobs:
coding-standards:
uses: "doctrine/.github/.github/workflows/coding-standards.yml@7.2.1"

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@@ -1,390 +0,0 @@
name: "Continuous Integration"
on:
pull_request:
branches:
- "*.x"
paths:
- .github/workflows/continuous-integration.yml
- ci/**
- composer.*
- src/**
- phpunit.xml.dist
- tests/**
push:
branches:
- "*.x"
paths:
- .github/workflows/continuous-integration.yml
- ci/**
- composer.*
- src/**
- phpunit.xml.dist
- tests/**
env:
fail-fast: true
jobs:
phpunit-smoke-check:
name: "PHPUnit with SQLite"
runs-on: "ubuntu-22.04"
strategy:
matrix:
php-version:
- "7.2"
- "7.3"
- "7.4"
- "8.0"
- "8.1"
- "8.2"
- "8.3"
- "8.4"
dbal-version:
- "default"
extension:
- "pdo_sqlite"
proxy:
- "common"
include:
- php-version: "8.0"
dbal-version: "2.13"
extension: "pdo_sqlite"
- php-version: "8.2"
dbal-version: "3@dev"
extension: "pdo_sqlite"
- php-version: "8.2"
dbal-version: "default"
extension: "sqlite3"
- php-version: "8.1"
dbal-version: "default"
proxy: "lazy-ghost"
extension: "pdo_sqlite"
steps:
- name: "Checkout"
uses: "actions/checkout@v4"
with:
fetch-depth: 2
- name: "Install PHP"
uses: "shivammathur/setup-php@v2"
with:
php-version: "${{ matrix.php-version }}"
extensions: "apcu, pdo, ${{ matrix.extension }}"
coverage: "pcov"
ini-values: "zend.assertions=1, apc.enable_cli=1"
- name: "Require specific DBAL version"
run: "composer require doctrine/dbal ^${{ matrix.dbal-version }} --no-update"
if: "${{ matrix.dbal-version != 'default' }}"
- name: "Install dependencies with Composer"
uses: "ramsey/composer-install@v3"
with:
composer-options: "--ignore-platform-req=php+"
- name: "Run PHPUnit"
run: "vendor/bin/phpunit -c ci/github/phpunit/${{ matrix.extension }}.xml --coverage-clover=coverage-no-cache.xml"
env:
ENABLE_SECOND_LEVEL_CACHE: 0
ORM_PROXY_IMPLEMENTATION: "${{ matrix.proxy }}"
- name: "Run PHPUnit with Second Level Cache"
run: "vendor/bin/phpunit -c ci/github/phpunit/${{ matrix.extension }}.xml --exclude-group performance,non-cacheable,locking_functional --coverage-clover=coverage-cache.xml"
env:
ENABLE_SECOND_LEVEL_CACHE: 1
ORM_PROXY_IMPLEMENTATION: "${{ matrix.proxy }}"
- name: "Upload coverage file"
uses: "actions/upload-artifact@v4"
with:
name: "phpunit-${{ matrix.extension }}-${{ matrix.php-version }}-${{ matrix.dbal-version }}-${{ matrix.proxy }}-coverage"
path: "coverage*.xml"
phpunit-postgres:
name: "PHPUnit with PostgreSQL"
runs-on: "ubuntu-22.04"
needs: "phpunit-smoke-check"
strategy:
matrix:
php-version:
- "8.2"
- "8.3"
- "8.4"
dbal-version:
- "default"
- "3@dev"
postgres-version:
- "17"
extension:
- pdo_pgsql
- pgsql
include:
- php-version: "8.0"
dbal-version: "2.13"
postgres-version: "14"
extension: pdo_pgsql
- php-version: "8.2"
dbal-version: "default"
postgres-version: "9.6"
extension: pdo_pgsql
services:
postgres:
image: "postgres:${{ matrix.postgres-version }}"
env:
POSTGRES_PASSWORD: "postgres"
options: >-
--health-cmd "pg_isready"
ports:
- "5432:5432"
steps:
- name: "Checkout"
uses: "actions/checkout@v4"
with:
fetch-depth: 2
- name: "Install PHP"
uses: "shivammathur/setup-php@v2"
with:
php-version: "${{ matrix.php-version }}"
extensions: "pgsql pdo_pgsql"
coverage: "pcov"
ini-values: "zend.assertions=1, apc.enable_cli=1"
- name: "Require specific DBAL version"
run: "composer require doctrine/dbal ^${{ matrix.dbal-version }} --no-update"
if: "${{ matrix.dbal-version != 'default' }}"
- name: "Install dependencies with Composer"
uses: "ramsey/composer-install@v3"
with:
composer-options: "--ignore-platform-req=php+"
- name: "Run PHPUnit"
run: "vendor/bin/phpunit -c ci/github/phpunit/pdo_pgsql.xml --coverage-clover=coverage.xml"
- name: "Upload coverage file"
uses: "actions/upload-artifact@v4"
with:
name: "${{ github.job }}-${{ matrix.postgres-version }}-${{ matrix.php-version }}-${{ matrix.dbal-version }}-${{ matrix.extension }}-coverage"
path: "coverage.xml"
phpunit-mariadb:
name: "PHPUnit with MariaDB"
runs-on: "ubuntu-22.04"
needs: "phpunit-smoke-check"
strategy:
matrix:
php-version:
- "8.2"
- "8.3"
- "8.4"
dbal-version:
- "default"
- "3@dev"
mariadb-version:
- "11.4"
extension:
- "mysqli"
- "pdo_mysql"
include:
- php-version: "8.0"
dbal-version: "2.13"
mariadb-version: "10.6"
extension: "pdo_mysql"
services:
mariadb:
image: "mariadb:${{ matrix.mariadb-version }}"
env:
MARIADB_ALLOW_EMPTY_ROOT_PASSWORD: yes
MARIADB_DATABASE: "doctrine_tests"
options: >-
--health-cmd "healthcheck.sh --connect --innodb_initialized"
ports:
- "3306:3306"
steps:
- name: "Checkout"
uses: "actions/checkout@v4"
with:
fetch-depth: 2
- name: "Require specific DBAL version"
run: "composer require doctrine/dbal ^${{ matrix.dbal-version }} --no-update"
if: "${{ matrix.dbal-version != 'default' }}"
- name: "Install PHP"
uses: "shivammathur/setup-php@v2"
with:
php-version: "${{ matrix.php-version }}"
coverage: "pcov"
ini-values: "zend.assertions=1, apc.enable_cli=1"
extensions: "${{ matrix.extension }}"
- name: "Install dependencies with Composer"
uses: "ramsey/composer-install@v3"
with:
composer-options: "--ignore-platform-req=php+"
- name: "Run PHPUnit"
run: "vendor/bin/phpunit -c ci/github/phpunit/${{ matrix.extension }}.xml --coverage-clover=coverage.xml"
- name: "Upload coverage file"
uses: "actions/upload-artifact@v4"
with:
name: "${{ github.job }}-${{ matrix.mariadb-version }}-${{ matrix.extension }}-${{ matrix.php-version }}-${{ matrix.dbal-version }}-coverage"
path: "coverage.xml"
phpunit-mysql:
name: "PHPUnit with MySQL"
runs-on: "ubuntu-22.04"
needs: "phpunit-smoke-check"
strategy:
matrix:
php-version:
- "8.2"
- "8.3"
- "8.4"
dbal-version:
- "default"
- "3@dev"
mysql-version:
- "5.7"
- "8.0"
extension:
- "mysqli"
- "pdo_mysql"
include:
- php-version: "8.0"
dbal-version: "2.13"
mysql-version: "8.0"
extension: "pdo_mysql"
services:
mysql:
image: "mysql:${{ matrix.mysql-version }}"
options: >-
--health-cmd "mysqladmin ping --silent"
-e MYSQL_ALLOW_EMPTY_PASSWORD=yes
-e MYSQL_DATABASE=doctrine_tests
ports:
- "3306:3306"
steps:
- name: "Checkout"
uses: "actions/checkout@v4"
with:
fetch-depth: 2
- name: "Install PHP"
uses: "shivammathur/setup-php@v2"
with:
php-version: "${{ matrix.php-version }}"
coverage: "pcov"
ini-values: "zend.assertions=1, apc.enable_cli=1"
extensions: "${{ matrix.extension }}"
- name: "Require specific DBAL version"
run: "composer require doctrine/dbal ^${{ matrix.dbal-version }} --no-update"
if: "${{ matrix.dbal-version != 'default' }}"
- name: "Install dependencies with Composer"
uses: "ramsey/composer-install@v3"
with:
composer-options: "--ignore-platform-req=php+"
- name: "Run PHPUnit"
run: "vendor/bin/phpunit -c ci/github/phpunit/${{ matrix.extension }}.xml --coverage-clover=coverage-no-cache.xml"
env:
ENABLE_SECOND_LEVEL_CACHE: 0
- name: "Run PHPUnit with Second Level Cache"
run: "vendor/bin/phpunit -c ci/github/phpunit/${{ matrix.extension }}.xml --exclude-group performance,non-cacheable,locking_functional --coverage-clover=coverage-no-cache.xml"
env:
ENABLE_SECOND_LEVEL_CACHE: 1
- name: "Upload coverage files"
uses: "actions/upload-artifact@v4"
with:
name: "${{ github.job }}-${{ matrix.mysql-version }}-${{ matrix.extension }}-${{ matrix.php-version }}-${{ matrix.dbal-version }}-coverage"
path: "coverage*.xml"
phpunit-lower-php-versions:
name: "PHPUnit with SQLite"
runs-on: "ubuntu-22.04"
strategy:
matrix:
php-version:
- "7.1"
deps:
- "highest"
- "lowest"
steps:
- name: "Checkout"
uses: "actions/checkout@v4"
with:
fetch-depth: 2
- name: "Install PHP"
uses: "shivammathur/setup-php@v2"
with:
php-version: "${{ matrix.php-version }}"
ini-values: "zend.assertions=1, apc.enable_cli=1"
- name: "Install dependencies with Composer"
uses: "ramsey/composer-install@v3"
with:
dependency-versions: "${{ matrix.deps }}"
- name: "Run PHPUnit"
run: "vendor/bin/phpunit -c ci/github/phpunit/pdo_sqlite.xml"
upload_coverage:
name: "Upload coverage to Codecov"
runs-on: "ubuntu-22.04"
# Only run on PRs from forks
if: "github.event.pull_request.head.repo.full_name != github.repository"
needs:
- "phpunit-smoke-check"
- "phpunit-postgres"
- "phpunit-mariadb"
- "phpunit-mysql"
steps:
- name: "Checkout"
uses: "actions/checkout@v4"
with:
fetch-depth: 2
- name: "Download coverage files"
uses: "actions/download-artifact@v4"
with:
path: "reports"
- name: "Upload to Codecov"
uses: "codecov/codecov-action@v5"
with:
directory: reports
env:
CODECOV_TOKEN: "${{ secrets.CODECOV_TOKEN }}"

View File

@@ -1,20 +0,0 @@
name: "Documentation"
on:
pull_request:
branches:
- "*.x"
paths:
- ".github/workflows/documentation.yml"
- "docs/**"
push:
branches:
- "*.x"
paths:
- ".github/workflows/documentation.yml"
- "docs/**"
jobs:
documentation:
name: "Documentation"
uses: "doctrine/.github/.github/workflows/documentation.yml@7.2.1"

View File

@@ -1,54 +0,0 @@
name: "Performance benchmark"
on:
pull_request:
branches:
- "*.x"
paths:
- .github/workflows/phpbench.yml
- composer.*
- src/**
- phpbench.json
- tests/**
push:
branches:
- "*.x"
paths:
- .github/workflows/phpbench.yml
- composer.*
- src/**
- phpbench.json
- tests/**
env:
fail-fast: true
jobs:
phpbench:
name: "PHPBench"
runs-on: "ubuntu-22.04"
strategy:
matrix:
php-version:
- "7.4"
steps:
- name: "Checkout"
uses: "actions/checkout@v4"
with:
fetch-depth: 2
- name: "Install PHP"
uses: "shivammathur/setup-php@v2"
with:
php-version: "${{ matrix.php-version }}"
coverage: "pcov"
ini-values: "zend.assertions=1, apc.enable_cli=1"
- name: "Install dependencies with Composer"
uses: "ramsey/composer-install@v3"
- name: "Run PHPBench"
run: "vendor/bin/phpbench run --report=default"

View File

@@ -1,15 +0,0 @@
name: "Automatic Releases"
on:
milestone:
types:
- "closed"
jobs:
release:
uses: "doctrine/.github/.github/workflows/release-on-milestone-closed.yml@7.2.1"
secrets:
GIT_AUTHOR_EMAIL: ${{ secrets.GIT_AUTHOR_EMAIL }}
GIT_AUTHOR_NAME: ${{ secrets.GIT_AUTHOR_NAME }}
ORGANIZATION_ADMIN_TOKEN: ${{ secrets.ORGANIZATION_ADMIN_TOKEN }}
SIGNING_SECRET_KEY: ${{ secrets.SIGNING_SECRET_KEY }}

View File

@@ -1,73 +0,0 @@
name: "Static Analysis"
on:
pull_request:
branches:
- "*.x"
paths:
- .github/workflows/static-analysis.yml
- composer.*
- src/**
- phpstan*
- tests/StaticAnalysis/**
push:
branches:
- "*.x"
paths:
- .github/workflows/static-analysis.yml
- composer.*
- src/**
- phpstan*
- tests/StaticAnalysis/**
jobs:
static-analysis-phpstan:
name: "Static Analysis with PHPStan"
runs-on: "ubuntu-22.04"
strategy:
fail-fast: false
matrix:
dbal-version:
- "default"
persistence-version:
- "default"
include:
- dbal-version: "2.13"
persistence-version: "default"
- dbal-version: "default"
persistence-version: "2.5"
steps:
- name: "Checkout code"
uses: "actions/checkout@v4"
- name: "Install PHP"
uses: "shivammathur/setup-php@v2"
with:
coverage: "none"
php-version: "8.4"
- name: "Require specific DBAL version"
run: "composer require doctrine/dbal ^${{ matrix.dbal-version }} --no-update"
if: "${{ matrix.dbal-version != 'default' }}"
- name: "Require specific persistence version"
run: "composer require doctrine/persistence ^$([ ${{ matrix.persistence-version }} = default ] && echo '3.1' || echo ${{ matrix.persistence-version }}) --no-update"
- name: "Install dependencies with Composer"
uses: "ramsey/composer-install@v3"
with:
dependency-versions: "highest"
- name: "Run a static analysis with phpstan/phpstan"
run: "vendor/bin/phpstan analyse"
if: "${{ matrix.dbal-version == 'default' && matrix.persistence-version == 'default'}}"
- name: "Run a static analysis with phpstan/phpstan"
run: "vendor/bin/phpstan analyse -c phpstan-dbal2.neon"
if: "${{ matrix.dbal-version == '2.13' }}"
- name: "Run a static analysis with phpstan/phpstan"
run: "vendor/bin/phpstan analyse -c phpstan-persistence2.neon"
if: "${{ matrix.dbal-version == 'default' && matrix.persistence-version != 'default'}}"

12
.gitignore vendored
View File

@@ -3,15 +3,9 @@ logs/
reports/
dist/
download/
lib/api/
lib/Doctrine/Common
lib/Doctrine/DBAL
/.settings/
.buildpath
.project
.idea
*.iml
vendor/
/tests/Doctrine/Performance/history.db
/.phpcs-cache
composer.lock
.phpunit.cache
.phpunit.result.cache
/*.phpunit.xml

15
.gitmodules vendored Normal file
View File

@@ -0,0 +1,15 @@
[submodule "lib/vendor/doctrine-common"]
path = lib/vendor/doctrine-common
url = git://github.com/doctrine/common.git
[submodule "lib/vendor/doctrine-dbal"]
path = lib/vendor/doctrine-dbal
url = git://github.com/doctrine/dbal.git
[submodule "lib/vendor/Symfony/Component/Console"]
path = lib/vendor/Symfony/Component/Console
url = git://github.com/symfony/Console.git
[submodule "lib/vendor/Symfony/Component/Yaml"]
path = lib/vendor/Symfony/Component/Yaml
url = git://github.com/symfony/Yaml.git
[submodule "lib/vendor/doctrine-build-common"]
path = lib/vendor/doctrine-build-common
url = https://github.com/doctrine/doctrine-build-common.git

19
.travis.yml Normal file
View File

@@ -0,0 +1,19 @@
language: php
php:
- 5.3
- 5.4
env:
- DB=mysql
- DB=pgsql
- DB=sqlite
before_script:
- sh -c "if [ '$DB' = 'pgsql' ]; then psql -c 'DROP DATABASE IF EXISTS doctrine_tests;' -U postgres; fi"
- sh -c "if [ '$DB' = 'pgsql' ]; then psql -c 'DROP DATABASE IF EXISTS doctrine_tests_tmp;' -U postgres; fi"
- sh -c "if [ '$DB' = 'pgsql' ]; then psql -c 'create database doctrine_tests;' -U postgres; fi"
- sh -c "if [ '$DB' = 'pgsql' ]; then psql -c 'create database doctrine_tests_tmp;' -U postgres; fi"
- sh -c "if [ '$DB' = 'mysql' ]; then mysql -e 'create database IF NOT EXISTS doctrine_tests_tmp;create database IF NOT EXISTS doctrine_tests;'; fi"
- git submodule update --init
script: phpunit --configuration tests/travis/$DB.travis.xml

View File

@@ -1,69 +0,0 @@
# Contribute to Doctrine
Thank you for contributing to Doctrine!
Before we can merge your Pull-Request here are some guidelines that you need to follow.
These guidelines exist not to annoy you, but to keep the code base clean,
unified and future proof.
Doctrine has [general contributing guidelines][contributor workflow], make
sure you follow them.
[contributor workflow]: https://www.doctrine-project.org/contribute/index.html
## Coding Standard
This project follows [`doctrine/coding-standard`][coding standard homepage].
You may fix many some of the issues with `vendor/bin/phpcbf`.
[coding standard homepage]: https://github.com/doctrine/coding-standard
## Unit-Tests
Please try to add a test for your pull-request.
* If you want to fix a bug or provide a reproduce case, create a test file in
``tests/Tests/ORM/Functional/Ticket`` with the name of the ticket,
``DDC1234Test.php`` for example.
* If you want to contribute new functionality add unit- or functional tests
depending on the scope of the feature.
You can run the unit-tests by calling ``vendor/bin/phpunit`` from the root of the project.
It will run all the tests with an in memory SQLite database.
In order to do that, you will need a fresh copy of the ORM, and you
will have to run a composer installation in the project:
```sh
git clone git@github.com:doctrine/orm.git
cd orm
composer install
```
You will also need to enable the PHP extension that provides the SQLite driver
for PDO: `pdo_sqlite`. How to do so depends on your system, but checking that it
is enabled can universally be done with `php -m`: that command should list the
extension.
To run the testsuite against another database, copy the ``phpunit.xml.dist``
to for example ``mysql.phpunit.xml`` and edit the parameters. You can
take a look at the ``ci/github/phpunit`` directory for some examples. Then run:
vendor/bin/phpunit -c mysql.phpunit.xml
If you do not provide these parameters, the test suite will use an in-memory
sqlite database.
Tips for creating unit tests:
1. If you put a test into the `Ticket` namespace as described above, put the testcase and all entities into the same class.
See `https://github.com/doctrine/orm/tree/2.8.x/tests/Tests/ORM/Functional/Ticket/DDC2306Test.php` for an
example.
## Getting merged
Please allow us time to review your pull requests. We will give our best to review
everything as fast as possible, but cannot always live up to our own expectations.
Thank you very much again for your contribution!

517
LICENSE
View File

@@ -1,19 +1,504 @@
Copyright (c) Doctrine Project
GNU LESSER GENERAL PUBLIC LICENSE
Version 2.1, February 1999
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:
Copyright (C) 1991, 1999 Free Software Foundation, Inc.
59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
[This is the first released version of the Lesser GPL. It also counts
as the successor of the GNU Library Public License, version 2, hence
the version number 2.1.]
Preamble
The licenses for most software are designed to take away your
freedom to share and change it. By contrast, the GNU General Public
Licenses are intended to guarantee your freedom to share and change
free software--to make sure the software is free for all its users.
This license, the Lesser General Public License, applies to some
specially designated software packages--typically libraries--of the
Free Software Foundation and other authors who decide to use it. You
can use it too, but we suggest you first think carefully about whether
this license or the ordinary General Public License is the better
strategy to use in any particular case, based on the explanations below.
When we speak of free software, we are referring to freedom of use,
not price. Our General Public Licenses are designed to make sure that
you have the freedom to distribute copies of free software (and charge
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To protect your rights, we need to make restrictions that forbid
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We protect your rights with a two-step method: (1) we copyright the
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To protect each distributor, we want to make it very clear that
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Finally, software patents pose a constant threat to the existence of
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# Doctrine 2 ORM
Master: [![Build Status](https://secure.travis-ci.org/doctrine/doctrine2.png?branch=master)](http://travis-ci.org/doctrine/doctrine2)
2.1.x: [![Build Status](https://secure.travis-ci.org/doctrine/doctrine2.png?branch=2.1.x)](http://travis-ci.org/doctrine/doctrine2)
Doctrine 2 is an object-relational mapper (ORM) for PHP 5.3.2+ that provides transparent persistence
for PHP objects. It sits on top of a powerful database abstraction layer (DBAL). One of its key features
is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL),
inspired by Hibernates HQL. This provides developers with a powerful alternative to SQL that maintains flexibility
without requiring unnecessary code duplication.
## More resources:
* [Website](http://www.doctrine-project.org)
* [Documentation](http://www.doctrine-project.org/projects/orm/2.0/docs/reference/introduction/en)
* [Issue Tracker](http://www.doctrine-project.org/jira/browse/DDC)
* [Downloads](http://github.com/doctrine/doctrine2/downloads)

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| [4.0.x][4.0] | [3.4.x][3.4] | [3.3.x][3.3] | [2.21.x][2.21] | [2.20.x][2.20] |
|:------------------------------------------------------:|:------------------------------------------------------:|:------------------------------------------------------:|:--------------------------------------------------------:|:--------------------------------------------------------:|
| [![Build status][4.0 image]][4.0] | [![Build status][3.4 image]][3.4] | [![Build status][3.3 image]][3.3] | [![Build status][2.21 image]][2.21] | [![Build status][2.20 image]][2.20] |
| [![Coverage Status][4.0 coverage image]][4.0 coverage] | [![Coverage Status][3.4 coverage image]][3.4 coverage] | [![Coverage Status][3.3 coverage image]][3.3 coverage] | [![Coverage Status][2.21 coverage image]][2.21 coverage] | [![Coverage Status][2.20 coverage image]][2.20 coverage] |
[<h1 align="center">🇺🇦 UKRAINE NEEDS YOUR HELP NOW!</h1>](https://www.doctrine-project.org/stop-war.html)
Doctrine ORM is an object-relational mapper for PHP 7.1+ that provides transparent persistence
for PHP objects. It sits on top of a powerful database abstraction layer (DBAL). One of its key features
is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL),
inspired by Hibernate's HQL. This provides developers with a powerful alternative to SQL that maintains flexibility
without requiring unnecessary code duplication.
## More resources:
* [Website](http://www.doctrine-project.org)
* [Documentation](https://www.doctrine-project.org/projects/doctrine-orm/en/stable/index.html)
[4.0 image]: https://github.com/doctrine/orm/actions/workflows/continuous-integration.yml/badge.svg?branch=4.0.x
[4.0]: https://github.com/doctrine/orm/tree/4.0.x
[4.0 coverage image]: https://codecov.io/gh/doctrine/orm/branch/4.0.x/graph/badge.svg
[4.0 coverage]: https://codecov.io/gh/doctrine/orm/branch/4.0.x
[3.4 image]: https://github.com/doctrine/orm/actions/workflows/continuous-integration.yml/badge.svg?branch=3.4.x
[3.4]: https://github.com/doctrine/orm/tree/3.4.x
[3.4 coverage image]: https://codecov.io/gh/doctrine/orm/branch/3.4.x/graph/badge.svg
[3.4 coverage]: https://codecov.io/gh/doctrine/orm/branch/3.4.x
[3.3 image]: https://github.com/doctrine/orm/actions/workflows/continuous-integration.yml/badge.svg?branch=3.3.x
[3.3]: https://github.com/doctrine/orm/tree/3.3.x
[3.3 coverage image]: https://codecov.io/gh/doctrine/orm/branch/3.3.x/graph/badge.svg
[3.3 coverage]: https://codecov.io/gh/doctrine/orm/branch/3.3.x
[2.21 image]: https://github.com/doctrine/orm/actions/workflows/continuous-integration.yml/badge.svg?branch=2.21.x
[2.21]: https://github.com/doctrine/orm/tree/2.21.x
[2.21 coverage image]: https://codecov.io/gh/doctrine/orm/branch/2.21.x/graph/badge.svg
[2.21 coverage]: https://codecov.io/gh/doctrine/orm/branch/2.21.x
[2.20 image]: https://github.com/doctrine/orm/actions/workflows/continuous-integration.yml/badge.svg?branch=2.20.x
[2.20]: https://github.com/doctrine/orm/tree/2.20.x
[2.20 coverage image]: https://codecov.io/gh/doctrine/orm/branch/2.20.x/graph/badge.svg
[2.20 coverage]: https://codecov.io/gh/doctrine/orm/branch/2.20.x

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Security
========
The Doctrine library is operating very close to your database and as such needs
to handle and make assumptions about SQL injection vulnerabilities.
It is vital that you understand how Doctrine approaches security, because
we cannot protect you from SQL injection.
Please read the documentation chapter on Security in Doctrine DBAL and ORM to
understand the assumptions we make.
- [DBAL Security Page](https://www.doctrine-project.org/projects/doctrine-dbal/en/stable/reference/security.html)
- [ORM Security Page](https://www.doctrine-project.org/projects/doctrine-orm/en/stable/reference/security.html)
If you find a Security bug in Doctrine, please follow our
[Security reporting guidelines](https://www.doctrine-project.org/policies/security.html#reporting).

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# Update from 2.0-BETA3 to 2.0-BETA4
## XML Driver <change-tracking-policy /> element demoted to attribute
We changed how the XML Driver allows to define the change-tracking-policy. The working case is now:
<entity change-tracking-policy="DEFERRED_IMPLICT" />
# Update from 2.0-BETA2 to 2.0-BETA3
## Serialization of Uninitialized Proxies
As of Beta3 you can now serialize uninitialized proxies, an exception will only be thrown when
trying to access methods on the unserialized proxy as long as it has not been re-attached to the
EntityManager using `EntityManager#merge()`. See this example:
$proxy = $em->getReference('User', 1);
$serializedProxy = serialize($proxy);
$detachedProxy = unserialized($serializedProxy);
echo $em->contains($detachedProxy); // FALSE
try {
$detachedProxy->getId(); // uninitialized detached proxy
} catch(Exception $e) {
}
$attachedProxy = $em->merge($detachedProxy);
echo $attackedProxy->getId(); // works!
## Changed SQL implementation of Postgres and Oracle DateTime types
The DBAL Type "datetime" included the Timezone Offset in both Postgres and Oracle. As of this version they are now
generated without Timezone (TIMESTAMP WITHOUT TIME ZONE instead of TIMESTAMP WITH TIME ZONE).
See [this comment to Ticket DBAL-22](http://www.doctrine-project.org/jira/browse/DBAL-22?focusedCommentId=13396&page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#action_13396)
for more details as well as migration issues for PostgreSQL and Oracle.
Both Postgres and Oracle will throw Exceptions during hydration of Objects with "DateTime" fields unless migration steps are taken!
## Removed multi-dot/deep-path expressions in DQL
The support for implicit joins in DQL through the multi-dot/Deep Path Expressions
was dropped. For example:
SELECT u FROM User u WHERE u.group.name = ?1
See the "u.group.id" here is using multi dots (deep expression) to walk
through the graph of objects and properties. Internally the DQL parser
would rewrite these queries to:
SELECT u FROM User u JOIN u.group g WHERE g.name = ?1
This explicit notation will be the only supported notation as of now. The internal
handling of multi-dots in the DQL Parser was very complex, error prone in edge cases
and required special treatment for several features we added. Additionally
it had edge cases that could not be solved without making the DQL Parser
even much more complex. For this reason we will drop the support for the
deep path expressions to increase maintainability and overall performance
of the DQL parsing process. This will benefit any DQL query being parsed,
even those not using deep path expressions.
Note that the generated SQL of both notations is exactly the same! You
don't loose anything through this.
## Default Allocation Size for Sequences
The default allocation size for sequences has been changed from 10 to 1. This step was made
to not cause confusion with users and also because it is partly some kind of premature optimization.
# Update from 2.0-BETA1 to 2.0-BETA2
There are no backwards incompatible changes in this release.
# Upgrade from 2.0-ALPHA4 to 2.0-BETA1
## EntityRepository deprecates access to protected variables
Instead of accessing protected variables for the EntityManager in
a custom EntityRepository it is now required to use the getter methods
for all the three instance variables:
* `$this->_em` now accessible through `$this->getEntityManager()`
* `$this->_class` now accessible through `$this->getClassMetadata()`
* `$this->_entityName` now accessible through `$this->getEntityName()`
Important: For Beta 2 the protected visibility of these three properties will be
changed to private!
## Console migrated to Symfony Console
The Doctrine CLI has been replaced by Symfony Console Configuration
Instead of having to specify:
[php]
$cliConfig = new CliConfiguration();
$cliConfig->setAttribute('em', $entityManager);
You now have to configure the script like:
[php]
$helperSet = new \Symfony\Components\Console\Helper\HelperSet(array(
'db' => new \Doctrine\DBAL\Tools\Console\Helper\ConnectionHelper($em->getConnection()),
'em' => new \Doctrine\ORM\Tools\Console\Helper\EntityManagerHelper($em)
));
## Console: No need for Mapping Paths anymore
In previous versions you had to specify the --from and --from-path options
to show where your mapping paths are from the console. However this information
is already known from the Mapping Driver configuration, so the requirement
for this options were dropped.
Instead for each console command all the entities are loaded and to
restrict the operation to one or more sub-groups you can use the --filter flag.
## AnnotationDriver is not a default mapping driver anymore
In conjunction with the recent changes to Console we realized that the
annotations driver being a default metadata driver lead to lots of glue
code in the console components to detect where entities lie and how to load
them for batch updates like SchemaTool and other commands. However the
annotations driver being a default driver does not really help that much
anyways.
Therefore we decided to break backwards compability in this issue and drop
the support for Annotations as Default Driver and require our users to
specify the driver explicitly (which allows us to ask for the path to all
entities).
If you are using the annotations metadata driver as default driver, you
have to add the following lines to your bootstrap code:
$driverImpl = $config->newDefaultAnnotationDriver(array(__DIR__."/Entities"));
$config->setMetadataDriverImpl($driverImpl);
You have to specify the path to your entities as either string of a single
path or array of multiple paths
to your entities. This information will be used by all console commands to
access all entities.
Xml and Yaml Drivers work as before!
## New inversedBy attribute
It is now *mandatory* that the owning side of a bidirectional association specifies the
'inversedBy' attribute that points to the name of the field on the inverse side that completes
the association. Example:
[php]
// BEFORE (ALPHA4 AND EARLIER)
class User
{
//...
/** @OneToOne(targetEntity="Address", mappedBy="user") */
private $address;
//...
}
class Address
{
//...
/** @OneToOne(targetEntity="User") */
private $user;
//...
}
// SINCE BETA1
// User class DOES NOT CHANGE
class Address
{
//...
/** @OneToOne(targetEntity="User", inversedBy="address") */
private $user;
//...
}
Thus, the inversedBy attribute is the counterpart to the mappedBy attribute. This change
was necessary to enable some simplifications and further performance improvements. We
apologize for the inconvenience.
## Default Property for Field Mappings
The "default" option for database column defaults has been removed. If desired, database column defaults can
be implemented by using the columnDefinition attribute of the @Column annotation (or the approriate XML and YAML equivalents).
Prefer PHP default values, if possible.
## Selecting Partial Objects
Querying for partial objects now has a new syntax. The old syntax to query for partial objects
now has a different meaning. This is best illustrated by an example. If you previously
had a DQL query like this:
[sql]
SELECT u.id, u.name FROM User u
Since BETA1, simple state field path expressions in the select clause are used to select
object fields as plain scalar values (something that was not possible before).
To achieve the same result as previously (that is, a partial object with only id and name populated)
you need to use the following, explicit syntax:
[sql]
SELECT PARTIAL u.{id,name} FROM User u
## XML Mapping Driver
The 'inheritance-type' attribute changed to take last bit of ClassMetadata constant names, i.e.
NONE, SINGLE_TABLE, INHERITANCE_TYPE_JOINED
## YAML Mapping Driver
The way to specify lifecycle callbacks in YAML Mapping driver was changed to allow for multiple callbacks
per event. The Old syntax ways:
[yaml]
lifecycleCallbacks:
doStuffOnPrePersist: prePersist
doStuffOnPostPersist: postPersist
The new syntax is:
[yaml]
lifecycleCallbacks:
prePersist: [ doStuffOnPrePersist, doOtherStuffOnPrePersistToo ]
postPersist: [ doStuffOnPostPersist ]
## PreUpdate Event Listeners
Event Listeners listening to the 'preUpdate' event can only affect the primitive values of entity changesets
by using the API on the `PreUpdateEventArgs` instance passed to the preUpdate listener method. Any changes
to the state of the entitys properties won't affect the database UPDATE statement anymore. This gives drastic
performance benefits for the preUpdate event.
## Collection API
The Collection interface in the Common package has been updated with some missing methods
that were present only on the default implementation, ArrayCollection. Custom collection
implementations need to be updated to adhere to the updated interface.

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This document details all the possible changes that you should investigate when updating
your project from Doctrine 2.0.x to 2.1
## Interface for EntityRepository
The EntityRepository now has an interface Doctrine\Common\Persistence\ObjectRepository. This means that your classes that override EntityRepository and extend find(), findOneBy() or findBy() must be adjusted to follow this interface.
## AnnotationReader changes
The annotation reader was heavily refactored between 2.0 and 2.1-RC1. In theory the operation of the new reader should be backwards compatible, but it has to be setup differently to work that way:
// new call to the AnnotationRegistry
\Doctrine\Common\Annotations\AnnotationRegistry::registerFile('/doctrine-src/lib/Doctrine/ORM/Mapping/Driver/DoctrineAnnotations.php');
$reader = new \Doctrine\Common\Annotations\AnnotationReader();
$reader->setDefaultAnnotationNamespace('Doctrine\ORM\Mapping\\');
// new code necessary starting here
$reader->setIgnoreNotImportedAnnotations(true);
$reader->setEnableParsePhpImports(false);
$reader = new \Doctrine\Common\Annotations\CachedReader(
new \Doctrine\Common\Annotations\IndexedReader($reader), new ArrayCache()
);
This is already done inside the ``$config->newDefaultAnnotationDriver``, so everything should automatically work if you are using this method. You can verify if everything still works by executing a console command such as schema-validate that loads all metadata into memory.

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# ResultCache implementation rewritten
The result cache is completely rewritten and now works on the database result level, not inside the ORM AbstractQuery
anymore. This means that for result cached queries the hydration will now always be performed again, regardless of
the hydration mode. Affected areas are:
1. Fixes the problem that entities coming from the result cache were not registered in the UnitOfWork
leading to problems during EntityManager#flush. Calls to EntityManager#merge are not necessary anymore.
2. Affects the array hydrator which now includes the overhead of hydration compared to caching the final result.
The API is backwards compatible however most of the getter methods on the `AbstractQuery` object are now
deprecated in favor of calling AbstractQuery#getQueryCacheProfile(). This method returns a `Doctrine\DBAL\Cache\QueryCacheProfile`
instance with access to result cache driver, lifetime and cache key.
# EntityManager#getPartialReference() creates read-only entity
Entities returned from EntityManager#getPartialReference() are now marked as read-only if they
haven't been in the identity map before. This means objects of this kind never lead to changes
in the UnitOfWork.
# Fields omitted in a partial DQL query or a native query are never updated
Fields of an entity that are not returned from a partial DQL Query or native SQL query
will never be updated through an UPDATE statement.
# Removed support for onUpdate in @JoinColumn
The onUpdate foreign key handling makes absolutely no sense in an ORM. Additionally Oracle doesn't even support it. Support for it is removed.
# Changes in Annotation Handling
There have been some changes to the annotation handling in Common 2.2 again, that affect how people with old configurations
from 2.0 have to configure the annotation driver if they don't use `Configuration::newDefaultAnnotationDriver()`:
// Register the ORM Annotations in the AnnotationRegistry
AnnotationRegistry::registerFile('path/to/Doctrine/ORM/Mapping/Driver/DoctrineAnnotations.php');
$reader = new \Doctrine\Common\Annotations\SimpleAnnotationReader();
$reader->addNamespace('Doctrine\ORM\Mapping');
$reader = new \Doctrine\Common\Annotations\CachedReader($reader, new ArrayCache());
$driver = new AnnotationDriver($reader, (array)$paths);
$config->setMetadataDriverImpl($driver);
# Scalar mappings can now be ommitted from DQL result
You are now allowed to mark scalar SELECT expressions as HIDDEN an they are not hydrated anymore.
Example:
SELECT u, SUM(a.id) AS HIDDEN numArticles FROM User u LEFT JOIN u.Articles a ORDER BY numArticles DESC HAVING numArticles > 10
Your result will be a collection of Users, and not an array with key 0 as User object instance and "numArticles" as the number of articles per user
# Map entities as scalars in DQL result
When hydrating to array or even a mixed result in object hydrator, previously you had the 0 index holding you entity instance.
You are now allowed to alias this, providing more flexibility for you code.
Example:
SELECT u AS user FROM User u
Will now return a collection of arrays with index "user" pointing to the User object instance.
# Performance optimizations
Thousands of lines were completely reviewed and optimized for best performance.
Removed redundancy and improved code readability made now internal Doctrine code easier to understand.
Also, Doctrine 2.2 now is around 10-15% faster than 2.1.

35
UPGRADE_TO_ALPHA3 Normal file
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@@ -0,0 +1,35 @@
# Upgrade from 2.0-ALPHA2 to 2.0-ALPHA3
This section details the changes made to Doctrine 2.0-ALPHA3 to make it easier for you
to upgrade your projects to use this version.
## CLI Changes
The $args variable used in the cli-config.php for configuring the Doctrine CLI has been renamed to $globalArguments.
## Proxy class changes
You are now required to make supply some minimalist configuration with regards to proxy objects. That involves 2 new configuration options. First, the directory where generated proxy classes should be placed needs to be specified. Secondly, you need to configure the namespace used for proxy classes. The following snippet shows an example:
[php]
// step 1: configure directory for proxy classes
// $config instanceof Doctrine\ORM\Configuration
$config->setProxyDir('/path/to/myproject/lib/MyProject/Generated/Proxies');
$config->setProxyNamespace('MyProject\Generated\Proxies');
Note that proxy classes behave exactly like any other classes when it comes to class loading. Therefore you need to make sure the proxy classes can be loaded by some class loader. If you place the generated proxy classes in a namespace and directory under your projects class files, like in the example above, it would be sufficient to register the MyProject namespace on a class loader. Since the proxy classes are contained in that namespace and adhere to the standards for class loading, no additional work is required.
Generating the proxy classes into a namespace within your class library is the recommended setup.
Entities with initialized proxy objects can now be serialized and unserialized properly from within the same application.
For more details refer to the Configuration section of the manual.
## Removed allowPartialObjects configuration option
The allowPartialObjects configuration option together with the `Configuration#getAllowPartialObjects` and `Configuration#setAllowPartialObjects` methods have been removed.
The new behavior is as if the option were set to FALSE all the time, basically disallowing partial objects globally. However, you can still use the `Query::HINT_FORCE_PARTIAL_LOAD` query hint to force a query to return partial objects for optimization purposes.
## Renamed Methods
* Doctrine\ORM\Configuration#getCacheDir() to getProxyDir()
* Doctrine\ORM\Configuration#setCacheDir($dir) to setProxyDir($dir)

36
UPGRADE_TO_ALPHA4 Normal file
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@@ -0,0 +1,36 @@
# Upgrade from 2.0-ALPHA3 to 2.0-ALPHA4
## CLI Controller changes
CLI main object changed its name and namespace. Renamed from Doctrine\ORM\Tools\Cli to Doctrine\Common\Cli\CliController.
Doctrine\Common\Cli\CliController now only deals with namespaces. Ready to go, Core, Dbal and Orm are available and you can subscribe new tasks by retrieving the namespace and including new task. Example:
[php]
$cli->getNamespace('Core')->addTask('my-example', '\MyProject\Tools\Cli\Tasks\MyExampleTask');
## CLI Tasks documentation
Tasks have implemented a new way to build documentation. Although it is still possible to define the help manually by extending the basicHelp and extendedHelp, they are now optional.
With new required method AbstractTask::buildDocumentation, its implementation defines the TaskDocumentation instance (accessible through AbstractTask::getDocumentation()), basicHelp and extendedHelp are now not necessary to be implemented.
## Changes in Method Signatures
* A bunch of Methods on both Doctrine\DBAL\Platforms\AbstractPlatform and Doctrine\DBAL\Schema\AbstractSchemaManager
have changed quite significantly by adopting the new Schema instance objects.
## Renamed Methods
* Doctrine\ORM\AbstractQuery::setExpireResultCache() -> expireResultCache()
* Doctrine\ORM\Query::setExpireQueryCache() -> expireQueryCache()
## SchemaTool Changes
* "doctrine schema-tool --drop" now always drops the complete database instead of
only those tables defined by the current database model. The previous method had
problems when foreign keys of orphaned tables pointed to tables that were schedulded
for deletion.
* Use "doctrine schema-tool --update" to get a save incremental update for your
database schema without deleting any unused tables, sequences or foreign keys.
* Use "doctrine schema-tool --complete-update" to do a full incremental update of
your schema.

2
bin/doctrine Executable file → Normal file
View File

@@ -1,4 +1,4 @@
#!/usr/bin/env php
<?php
include(__DIR__ . '/doctrine.php');
include('doctrine.php');

View File

@@ -1,43 +0,0 @@
<?php
fwrite(
STDERR,
'[Warning] The use of this script is discouraged. See'
. ' https://www.doctrine-project.org/projects/doctrine-orm/en/current/reference/tools.html#doctrine-console'
. ' for instructions on bootstrapping the console runner.'
. PHP_EOL
);
echo PHP_EOL . PHP_EOL;
require_once 'Doctrine/Common/ClassLoader.php';
$classLoader = new \Doctrine\Common\ClassLoader('Doctrine');
$classLoader->register();
$classLoader = new \Doctrine\Common\ClassLoader('Symfony');
$classLoader->register();
$configFile = getcwd() . DIRECTORY_SEPARATOR . 'cli-config.php';
$helperSet = null;
if (file_exists($configFile)) {
if ( ! is_readable($configFile)) {
trigger_error(
'Configuration file [' . $configFile . '] does not have read permission.', E_USER_ERROR
);
}
require $configFile;
foreach ($GLOBALS as $helperSetCandidate) {
if ($helperSetCandidate instanceof \Symfony\Component\Console\Helper\HelperSet) {
$helperSet = $helperSetCandidate;
break;
}
}
}
$helperSet = ($helperSet) ?: new \Symfony\Component\Console\Helper\HelperSet();
\Doctrine\ORM\Tools\Console\ConsoleRunner::run($helperSet);

View File

@@ -1,9 +1,9 @@
@echo off
if "%PHPBIN%" == "" set PHPBIN=@php_bin@
if not exist "%PHPBIN%" if "%PHP_PEAR_PHP_BIN%" neq "" goto USE_PEAR_PATH
GOTO RUN
:USE_PEAR_PATH
set PHPBIN=%PHP_PEAR_PHP_BIN%
:RUN
"%PHPBIN%" "@bin_dir@\doctrine" %*
@echo off
if "%PHPBIN%" == "" set PHPBIN=@php_bin@
if not exist "%PHPBIN%" if "%PHP_PEAR_PHP_BIN%" neq "" goto USE_PEAR_PATH
GOTO RUN
:USE_PEAR_PATH
set PHPBIN=%PHP_PEAR_PHP_BIN%
:RUN
"%PHPBIN%" "@bin_dir@\doctrine" %*

View File

@@ -1,62 +1,50 @@
<?php
/*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
* A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
* OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
* SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
* LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
* This software consists of voluntary contributions made by many individuals
* and is licensed under the LGPL. For more information, see
* <http://www.doctrine-project.org>.
*/
use Symfony\Component\Console\Helper\HelperSet;
use Doctrine\ORM\Tools\Console\ConsoleRunner;
require_once 'Doctrine/Common/ClassLoader.php';
fwrite(
STDERR,
'[Warning] The use of this script is discouraged. See'
. ' https://www.doctrine-project.org/projects/doctrine-orm/en/current/reference/tools.html#doctrine-console'
. ' for instructions on bootstrapping the console runner.'
. PHP_EOL
);
$classLoader = new \Doctrine\Common\ClassLoader('Doctrine');
$classLoader->register();
echo PHP_EOL . PHP_EOL;
$classLoader = new \Doctrine\Common\ClassLoader('Symfony', 'Doctrine');
$classLoader->register();
$autoloadFiles = [
__DIR__ . '/../vendor/autoload.php',
__DIR__ . '/../../../autoload.php'
];
$configFile = getcwd() . DIRECTORY_SEPARATOR . 'cli-config.php';
foreach ($autoloadFiles as $autoloadFile) {
if (file_exists($autoloadFile)) {
require_once $autoloadFile;
break;
$helperSet = null;
if (file_exists($configFile)) {
if ( ! is_readable($configFile)) {
trigger_error(
'Configuration file [' . $configFile . '] does not have read permission.', E_ERROR
);
}
}
$directories = [getcwd(), getcwd() . DIRECTORY_SEPARATOR . 'config'];
require $configFile;
$configFile = null;
foreach ($directories as $directory) {
$configFile = $directory . DIRECTORY_SEPARATOR . 'cli-config.php';
if (file_exists($configFile)) {
break;
}
}
if ( ! file_exists($configFile)) {
ConsoleRunner::printCliConfigTemplate();
exit(1);
}
if ( ! is_readable($configFile)) {
echo 'Configuration file [' . $configFile . '] does not have read permission.' . "\n";
exit(1);
}
$commands = [];
$helperSet = require $configFile;
if ( ! ($helperSet instanceof HelperSet)) {
foreach ($GLOBALS as $helperSetCandidate) {
if ($helperSetCandidate instanceof HelperSet) {
if ($helperSetCandidate instanceof \Symfony\Component\Console\Helper\HelperSet) {
$helperSet = $helperSetCandidate;
break;
}
}
}
ConsoleRunner::run($helperSet, $commands);
$helperSet = ($helperSet) ?: new \Symfony\Component\Console\Helper\HelperSet();
\Doctrine\ORM\Tools\Console\ConsoleRunner::run($helperSet);

11
build.properties Normal file
View File

@@ -0,0 +1,11 @@
# Project Name
project.name=DoctrineORM
# Dependency minimum versions
dependencies.common=2.2.0beta1
dependencies.dbal=2.2.0beta1
dependencies.sfconsole=2.0.0
# Version class and file
project.version_class = Doctrine\ORM\Version
project.version_file = lib/Doctrine/ORM/Version.php

16
build.properties.dev Normal file
View File

@@ -0,0 +1,16 @@
version=2.0.0BETA2
dependencies.common=2.0.0BETA4
dependencies.dbal=2.0.0BETA4
stability=beta
build.dir=build
dist.dir=dist
report.dir=reports
log.archive.dir=logs
project.pirum_dir=
project.download_dir=
project.xsd_dir=
test.phpunit_configuration_file=
test.phpunit_generate_coverage=0
test.pmd_reports=0
test.pdepend_exec=
test.phpmd_exec=

114
build.xml Normal file
View File

@@ -0,0 +1,114 @@
<?xml version="1.0"?>
<project name="DoctrineORM" default="build" basedir=".">
<taskdef classname="phing.tasks.ext.d51PearPkg2Task" name="d51pearpkg2" />
<import file="${project.basedir}/lib/vendor/doctrine-build-common/packaging.xml" />
<property file="build.properties" />
<!--
Fileset for artifacts shared across all distributed packages.
-->
<fileset id="shared-artifacts" dir=".">
<include name="LICENSE"/>
<include name="UPGRADE*" />
<include name="doctrine-mapping.xsd" />
</fileset>
<!--
Fileset for command line scripts
-->
<fileset id="bin-scripts" dir="./bin">
<include name="doctrine"/>
<include name="doctrine.php"/>
<include name="doctrine.bat"/>
</fileset>
<!--
Fileset for the sources of the Doctrine Common dependency.
-->
<fileset id="common-sources" dir="./lib/vendor/doctrine-common/lib">
<include name="Doctrine/Common/**"/>
</fileset>
<!--
Fileset for the sources of the Doctrine DBAL dependency.
-->
<fileset id="dbal-sources" dir="./lib/vendor/doctrine-dbal/lib">
<include name="Doctrine/DBAL/**"/>
</fileset>
<!--
Fileset for the sources of the Doctrine ORM.
-->
<fileset id="orm-sources" dir="./lib">
<include name="Doctrine/ORM/**"/>
</fileset>
<!--
Fileset for source of the Symfony YAML and Console components.
-->
<fileset id="symfony-sources" dir="./lib/vendor">
<include name="Symfony/Component/**"/>
<exclude name="**/.git/**" />
</fileset>
<!--
Builds ORM package, preparing it for distribution.
-->
<target name="copy-files" depends="prepare">
<copy todir="${build.dir}/${project.name}-${version}">
<fileset refid="shared-artifacts"/>
</copy>
<copy todir="${build.dir}/${project.name}-${version}">
<fileset refid="common-sources"/>
<fileset refid="dbal-sources"/>
<fileset refid="orm-sources"/>
</copy>
<copy todir="${build.dir}/${project.name}-${version}/Doctrine">
<fileset refid="symfony-sources"/>
</copy>
<copy todir="${build.dir}/${project.name}-${version}/bin">
<fileset refid="bin-scripts"/>
</copy>
</target>
<!--
Builds distributable PEAR packages.
-->
<target name="define-pear-package" depends="copy-files">
<d51pearpkg2 baseinstalldir="/" dir="${build.dir}/${project.name}-${version}">
<name>DoctrineORM</name>
<summary>Doctrine Object Relational Mapper</summary>
<channel>pear.doctrine-project.org</channel>
<description>The Doctrine ORM package is the primary package containing the object relational mapper.</description>
<lead user="jwage" name="Jonathan H. Wage" email="jonwage@gmail.com" />
<lead user="guilhermeblanco" name="Guilherme Blanco" email="guilhermeblanco@gmail.com" />
<lead user="romanb" name="Roman Borschel" email="roman@code-factory.org" />
<lead user="beberlei" name="Benjamin Eberlei" email="kontakt@beberlei.de" />
<license>LGPL</license>
<version release="${pear.version}" api="${pear.version}" />
<stability release="${pear.stability}" api="${pear.stability}" />
<notes>-</notes>
<dependencies>
<php minimum_version="5.3.0" />
<pear minimum_version="1.6.0" recommended_version="1.6.1" />
<package name="DoctrineCommon" channel="pear.doctrine-project.org" minimum_version="${dependencies.common}" maximum_version="2.2.99" />
<package name="DoctrineDBAL" channel="pear.doctrine-project.org" minimum_version="${dependencies.dbal}" maximum_version="2.2.99" />
<package name="Console" channel="pear.symfony.com" minimum_version="2.0.0" />
<package name="Yaml" channel="pear.symfony.com" minimum_version="2.0.0" />
</dependencies>
<dirroles key="bin">script</dirroles>
<ignore>Doctrine/Common/</ignore>
<ignore>Doctrine/DBAL/</ignore>
<ignore>Symfony/Component/Yaml/</ignore>
<ignore>Symfony/Component/Console/</ignore>
<release>
<install as="doctrine" name="bin/doctrine" />
<install as="doctrine.php" name="bin/doctrine.php" />
<install as="doctrine.bat" name="bin/doctrine.bat" />
</release>
<replacement path="bin/doctrine" type="pear-config" from="@php_bin@" to="php_bin" />
<replacement path="bin/doctrine.bat" type="pear-config" from="@bin_dir@" to="bin_dir" />
</d51pearpkg2>
</target>
</project>

View File

@@ -1,40 +0,0 @@
<?xml version="1.0" encoding="utf-8"?>
<phpunit xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:noNamespaceSchemaLocation="../../../vendor/phpunit/phpunit/phpunit.xsd"
colors="true"
beStrictAboutOutputDuringTests="true"
beStrictAboutTodoAnnotatedTests="true"
failOnRisky="true"
convertDeprecationsToExceptions="true"
>
<php>
<ini name="error_reporting" value="-1" />
<var name="db_driver" value="mysqli"/>
<var name="db_host" value="127.0.0.1" />
<var name="db_port" value="3306"/>
<var name="db_user" value="root" />
<var name="db_dbname" value="doctrine_tests" />
<!-- necessary change for some CLI/console output test assertions -->
<env name="COLUMNS" value="120"/>
</php>
<testsuites>
<testsuite name="Doctrine DBAL Test Suite">
<directory>../../../tests</directory>
</testsuite>
</testsuites>
<filter>
<whitelist>
<directory suffix=".php">../../../src</directory>
</whitelist>
</filter>
<groups>
<exclude>
<group>performance</group>
<group>locking_functional</group>
</exclude>
</groups>
</phpunit>

View File

@@ -1,41 +0,0 @@
<?xml version="1.0" encoding="utf-8"?>
<phpunit xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:noNamespaceSchemaLocation="../../../vendor/phpunit/phpunit/phpunit.xsd"
colors="true"
beStrictAboutOutputDuringTests="true"
beStrictAboutTodoAnnotatedTests="true"
failOnRisky="true"
convertDeprecationsToExceptions="true"
>
<php>
<ini name="error_reporting" value="-1" />
<var name="db_driver" value="pdo_mysql"/>
<var name="db_host" value="127.0.0.1" />
<var name="db_port" value="3306"/>
<var name="db_user" value="root" />
<var name="db_dbname" value="doctrine_tests" />
<!-- necessary change for some CLI/console output test assertions -->
<env name="COLUMNS" value="120"/>
</php>
<testsuites>
<testsuite name="Doctrine DBAL Test Suite">
<directory>../../../tests</directory>
</testsuite>
</testsuites>
<filter>
<whitelist>
<directory suffix=".php">../../../src</directory>
</whitelist>
</filter>
<groups>
<exclude>
<group>performance</group>
<group>locking_functional</group>
</exclude>
</groups>
</phpunit>

View File

@@ -1,40 +0,0 @@
<?xml version="1.0" encoding="utf-8"?>
<phpunit xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:noNamespaceSchemaLocation="../../../vendor/phpunit/phpunit/phpunit.xsd"
colors="true"
beStrictAboutOutputDuringTests="true"
beStrictAboutTodoAnnotatedTests="true"
failOnRisky="true"
convertDeprecationsToExceptions="true"
>
<php>
<ini name="error_reporting" value="-1" />
<var name="db_driver" value="pdo_pgsql"/>
<var name="db_host" value="localhost" />
<var name="db_user" value="postgres" />
<var name="db_password" value="postgres" />
<var name="db_dbname" value="doctrine_tests" />
<!-- necessary change for some CLI/console output test assertions -->
<env name="COLUMNS" value="120"/>
</php>
<testsuites>
<testsuite name="Doctrine DBAL Test Suite">
<directory>../../../tests</directory>
</testsuite>
</testsuites>
<filter>
<whitelist>
<directory suffix=".php">../../../src</directory>
</whitelist>
</filter>
<groups>
<exclude>
<group>performance</group>
<group>locking_functional</group>
</exclude>
</groups>
</phpunit>

View File

@@ -1,38 +0,0 @@
<?xml version="1.0" encoding="utf-8"?>
<phpunit xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:noNamespaceSchemaLocation="../../../vendor/phpunit/phpunit/phpunit.xsd"
colors="true"
beStrictAboutOutputDuringTests="true"
beStrictAboutTodoAnnotatedTests="true"
failOnRisky="true"
convertDeprecationsToExceptions="true"
>
<php>
<ini name="error_reporting" value="-1" />
<!-- use an in-memory sqlite database -->
<var name="db_driver" value="pdo_sqlite"/>
<var name="db_memory" value="true"/>
<!-- necessary change for some CLI/console output test assertions -->
<env name="COLUMNS" value="120"/>
</php>
<testsuites>
<testsuite name="Doctrine DBAL Test Suite">
<directory>../../../tests</directory>
</testsuite>
</testsuites>
<filter>
<whitelist>
<directory suffix=".php">../../../src</directory>
</whitelist>
</filter>
<groups>
<exclude>
<group>performance</group>
<group>locking_functional</group>
</exclude>
</groups>
</phpunit>

View File

@@ -1,40 +0,0 @@
<?xml version="1.0" encoding="utf-8"?>
<phpunit xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:noNamespaceSchemaLocation="../../../vendor/phpunit/phpunit/phpunit.xsd"
colors="true"
beStrictAboutOutputDuringTests="true"
beStrictAboutTodoAnnotatedTests="true"
failOnRisky="true"
convertDeprecationsToExceptions="true"
>
<php>
<ini name="error_reporting" value="-1" />
<var name="db_driver" value="pgsql"/>
<var name="db_host" value="localhost" />
<var name="db_user" value="postgres" />
<var name="db_password" value="postgres" />
<var name="db_dbname" value="doctrine_tests" />
<!-- necessary change for some CLI/console output test assertions -->
<env name="COLUMNS" value="120"/>
</php>
<testsuites>
<testsuite name="Doctrine DBAL Test Suite">
<directory>../../../tests</directory>
</testsuite>
</testsuites>
<filter>
<whitelist>
<directory suffix=".php">../../../src</directory>
</whitelist>
</filter>
<groups>
<exclude>
<group>performance</group>
<group>locking_functional</group>
</exclude>
</groups>
</phpunit>

View File

@@ -1,38 +0,0 @@
<?xml version="1.0" encoding="utf-8"?>
<phpunit xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:noNamespaceSchemaLocation="../../../vendor/phpunit/phpunit/phpunit.xsd"
colors="true"
beStrictAboutOutputDuringTests="true"
beStrictAboutTodoAnnotatedTests="true"
failOnRisky="true"
convertDeprecationsToExceptions="true"
>
<php>
<ini name="error_reporting" value="-1" />
<!-- use an in-memory sqlite database -->
<var name="db_driver" value="sqlite3"/>
<var name="db_memory" value="true"/>
<!-- necessary change for some CLI/console output test assertions -->
<env name="COLUMNS" value="120"/>
</php>
<testsuites>
<testsuite name="Doctrine DBAL Test Suite">
<directory>../../../tests</directory>
</testsuite>
</testsuites>
<filter>
<whitelist>
<directory suffix=".php">../../../src</directory>
</whitelist>
</filter>
<groups>
<exclude>
<group>performance</group>
<group>locking_functional</group>
</exclude>
</groups>
</phpunit>

View File

@@ -1,78 +1,23 @@
{
"name": "doctrine/orm",
"type": "library",
"type": "library","version":"2.2.1",
"description": "Object-Relational-Mapper for PHP",
"keywords": ["orm", "database"],
"homepage": "https://www.doctrine-project.org/projects/orm.html",
"license": "MIT",
"homepage": "http://www.doctrine-project.org",
"license": "LGPL",
"authors": [
{"name": "Guilherme Blanco", "email": "guilhermeblanco@gmail.com"},
{"name": "Roman Borschel", "email": "roman@code-factory.org"},
{"name": "Benjamin Eberlei", "email": "kontakt@beberlei.de"},
{"name": "Jonathan Wage", "email": "jonwage@gmail.com"},
{"name": "Marco Pivetta", "email": "ocramius@gmail.com"}
{"name": "Jonathan Wage", "email": "jonwage@gmail.com"}
],
"config": {
"allow-plugins": {
"composer/package-versions-deprecated": true,
"dealerdirect/phpcodesniffer-composer-installer": true,
"phpstan/extension-installer": true
},
"sort-packages": true
},
"require": {
"php": "^7.1 || ^8.0",
"composer-runtime-api": "^2",
"ext-ctype": "*",
"doctrine/cache": "^1.12.1 || ^2.1.1",
"doctrine/collections": "^1.5 || ^2.1",
"doctrine/common": "^3.0.3",
"doctrine/dbal": "^2.13.1 || ^3.2",
"doctrine/deprecations": "^0.5.3 || ^1",
"doctrine/event-manager": "^1.2 || ^2",
"doctrine/inflector": "^1.4 || ^2.0",
"doctrine/instantiator": "^1.3 || ^2",
"doctrine/lexer": "^2 || ^3",
"doctrine/persistence": "^2.4 || ^3",
"psr/cache": "^1 || ^2 || ^3",
"symfony/console": "^4.2 || ^5.0 || ^6.0 || ^7.0",
"symfony/polyfill-php72": "^1.23",
"symfony/polyfill-php80": "^1.16"
},
"require-dev": {
"doctrine/annotations": "^1.13 || ^2",
"doctrine/coding-standard": "^9.0.2 || ^12.0",
"phpbench/phpbench": "^0.16.10 || ^1.0",
"phpstan/extension-installer": "~1.1.0 || ^1.4",
"phpstan/phpstan": "~1.4.10 || 2.0.3",
"phpstan/phpstan-deprecation-rules": "^1 || ^2",
"phpunit/phpunit": "^7.5 || ^8.5 || ^9.6",
"psr/log": "^1 || ^2 || ^3",
"squizlabs/php_codesniffer": "3.7.2",
"symfony/cache": "^4.4 || ^5.4 || ^6.4 || ^7.0",
"symfony/var-exporter": "^4.4 || ^5.4 || ^6.2 || ^7.0",
"symfony/yaml": "^3.4 || ^4.0 || ^5.0 || ^6.0 || ^7.0"
},
"conflict": {
"doctrine/annotations": "<1.13 || >= 3.0"
},
"suggest": {
"ext-dom": "Provides support for XSD validation for XML mapping files",
"symfony/cache": "Provides cache support for Setup Tool with doctrine/cache 2.0",
"symfony/yaml": "If you want to use YAML Metadata Mapping Driver"
"php": ">=5.3.2",
"ext-pdo": "*",
"doctrine/common": ">=2.2.0,<2.2.99",
"doctrine/dbal": ">=2.2.1,<2.2.99"
},
"autoload": {
"psr-4": { "Doctrine\\ORM\\": "src" }
},
"autoload-dev": {
"psr-4": {
"Doctrine\\Tests\\": "tests/Tests",
"Doctrine\\StaticAnalysis\\": "tests/StaticAnalysis",
"Doctrine\\Performance\\": "tests/Performance"
}
},
"bin": ["bin/doctrine"],
"archive": {
"exclude": ["!vendor", "tests", "*phpunit.xml", "build.xml", "build.properties", "composer.phar", "vendor/satooshi", "lib/vendor", "*.swp"]
"psr-0": { "Doctrine\\ORM": "lib/" }
}
}

View File

@@ -1,362 +0,0 @@
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View File

@@ -1,18 +0,0 @@
# Doctrine ORM Documentation
## How to Generate:
Using Ubuntu 14.04 LTS:
1. Run ./bin/install-dependencies.sh
2. Run ./bin/generate-docs.sh
It will generate the documentation into the build directory of the checkout.
## Theme issues
If you get a "Theme error", check if the `en/_theme` subdirectory is empty,
in which case you will need to run:
1. git submodule init
2. git submodule update

View File

@@ -1,10 +0,0 @@
#!/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

View File

@@ -1,2 +0,0 @@
#!/bin/bash
sudo apt-get update && sudo apt-get install -y python2.7 python-sphinx python-pygments

View File

@@ -1,89 +0,0 @@
# 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."

View File

@@ -1,225 +0,0 @@
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 <https://dev.mysql.com/doc/refman/8.0/en/gis-class-point.html>`_.
The ``Point`` type is part of the `Spatial extension <https://dev.mysql.com/doc/refman/8.0/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;
use Geo\ValueObject\Point;
#[Entity]
class Location
{
#[Column(type: 'point')]
private Point $point;
#[Column]
private string $address;
public function setPoint(Point $point): void
{
$this->point = $point;
}
public function getPoint(): Point
{
return $this->point;
}
public function setAddress(string $address): void
{
$this->address = $address;
}
public function getAddress(): string
{
return $this->address;
}
}
We use the custom type ``point`` in the ``#[Column]`` attribute of the
``$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
{
public function __construct(
private float $latitude,
private float $longitude,
) {
}
public function getLatitude(): float
{
return $this->latitude;
}
public function getLongitude(): float
{
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) <https://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 `ST_PointFromText <https://dev.mysql.com/doc/refman/8.0/en/gis-wkt-functions.html#function_st-pointfromtext>`_
and `ST_AsText <https://dev.mysql.com/doc/refman/8.0/en/gis-format-conversion-functions.html#function_st-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...
// $em = new \Doctrine\ORM\EntityManager($connection, $config);
// Setup custom mapping type
use Doctrine\DBAL\Types\Type;
Type::addType('point', 'Geo\Types\PointType');
$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 l WHERE l.address = '1600 Amphitheatre Parkway, Mountain View, CA'");
$location = $query->getSingleResult();
/** @var Geo\ValueObject\Point */
$point = $location->getPoint();

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@@ -1,375 +0,0 @@
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 ORM 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 where 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;
use Doctrine\ORM\Mapping as ORM;
use Doctrine\Common\Collections\ArrayCollection;
use Doctrine\Common\Collections\Collection;
#[ORM\Entity]
class Account
{
#[ORM\Id]
#[ORM\GeneratedValue]
#[ORM\Column(type: 'integer')]
private ?int $id;
#[ORM\OneToMany(targetEntity: Entry::class, mappedBy: 'account', cascade: ['persist'])]
private Collection $entries;
public function __construct(
#[ORM\Column(type: 'string', unique: true)]
private string $no,
#[ORM\Column(type: 'integer')]
private int $maxCredit = 0,
) {
$this->entries = new ArrayCollection();
}
}
#[ORM\Entity]
class Entry
{
#[ORM\Id]
#[ORM\GeneratedValue]
#[ORM\Column(type: 'integer')]
private ?int $id;
public function __construct(
#[ORM\ManyToOne(targetEntity: Account::class, inversedBy: 'entries')]
private Account $account,
#[ORM\Column(type: 'integer')]
private int $amount,
) {
// more stuff here, from/to whom, stated reason, execution date and such
}
public function getAmount(): Amount
{
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(): int
{
$balance = 0;
foreach ($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(int $amount): void
{
$this->assertAcceptEntryAllowed($amount);
$this->entries[] = new Entry($this, $amount);
}
}
Now look at the following test-code for our entities:
.. code-block:: php
<?php
use PHPUnit\Framework\TestCase;
class AccountTest extends 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->expectException(Exception::class);
$account->addEntry(-1000);
}
}
To enforce our rule we can now implement the assertion in
``Account::addEntry``:
.. code-block:: php
<?php
class Account
{
// .. previous code
private function assertAcceptEntryAllowed(int $amount): void
{
$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
{
#[ORM\Column(type: 'integer')]
private int $balance = 0;
public function getBalance(): int
{
return $this->balance;
}
public function addEntry(int $amount): void
{
$this->assertAcceptEntryAllowed($amount);
$this->entries[] = new Entry($this, $amount);
$this->balance += $amount;
}
}
This is a very simple change, but all the tests still pass. Our
account entities return the correct balance. Now calling the
``Account::getBalance()`` method will not occur the overhead of
loading all entries anymore. Adding a new Entry to the
``Account::$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
use Bank\Entities\Account;
// The Account $accId has a balance of 0 and a max credit limit of 200:
// request 1 account
$account1 = $em->find(Account::class, $accId);
// request 2 account
$account2 = $em->find(Account::class, $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 safe-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 Account
{
#[ORM\Column(type: 'integer')]
#[ORM\Version]
private int $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 Bank\Entities\Account;
use Doctrine\DBAL\LockMode;
$account = $em->find(Account::class, $accId, LockMode::PESSIMISTIC_READ);
Keeping Updates and Deletes in Sync
-----------------------------------
The example shown in this article does not allow changes to the
value in ``Entry``, which considerably simplifies the effort to
keep ``Account::$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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@@ -1,101 +0,0 @@
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 $platform.
}
public function getName()
{
return self::MYTYPE; // modify to match your constant name
}
}
.. note::
The following assumptions are applied to mapping types by the ORM:
- The ``UnitOfWork`` never passes values to the database convert
method that did not change in the request.
- The ``UnitOfWork`` internally assumes that entity identifiers are
castable to string. Hence, when using custom types that map to PHP
objects as IDs, such objects must implement the ``__toString()`` magic
method.
When you have implemented the type you still need to let Doctrine
know about it. This can be achieved through the
``Doctrine\DBAL\Types\Type#addType($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');
To convert the underlying database type of your
new "mytype" directly into an instance of ``MyType`` when performing
schema operations, the type has to be registered with the database
platform as well:
.. code-block:: php
<?php
$conn = $em->getConnection();
$conn->getDatabasePlatform()->registerDoctrineTypeMapping('db_mytype', 'mytype');
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 the new type can be used when mapping columns:
.. code-block:: php
<?php
class MyPersistentClass
{
/** @Column(type="mytype") */
private $field;
}

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@@ -1,239 +0,0 @@
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 ORM to persist an implementation of the
`Decorator Pattern <https://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' => Component\ConcreteComponent::class,
'cd' => Decorator\ConcreteDecorator::class])]
abstract class Component
{
#[Id, Column]
#[GeneratedValue(strategy: 'AUTO')]
protected int|null $id = null;
#[Column(type: 'string', nullable: true)]
protected $name;
public function getId(): int|null
{
return $this->id;
}
public function setName(string $name): void
{
$this->name = $name;
}
public function getName(): string
{
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: Component::class, 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(): string
{
return 'Decorated ' . $this->getDecorates()->getName();
}
/** the component being decorated */
protected function getDecorates(): Component
{
return $this->decorates;
}
/** sets the component being decorated */
protected function setDecorates(Component $c): void
{
$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 string|null $special = null;
public function setSpecial(string|null $special): void
{
$this->special = $special;
}
public function getSpecial(): string|null
{
return $this->special;
}
/**
* (non-PHPdoc)
* @see Test.Component::getName()
*/
public function getName(): string
{
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 ORM 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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@@ -1,217 +0,0 @@
Extending DQL in Doctrine ORM: 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 ORM in contrast has a real parser for the DQL language,
which transforms the DQL statement into an
`Abstract Syntax Tree <https://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 of 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 it's 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. Let's 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 Query $countQuery */
$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`` custom 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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@@ -1,249 +0,0 @@
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 ORM 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 User-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);
$em = new EntityManager($connection, $config);
The ``$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.
Instead of providing the function class name, you can also provide
a callable that returns the function object:
.. code-block:: php
<?php
$config = new \Doctrine\ORM\Configuration();
$config->addCustomStringFunction($name, function () {
return new MyCustomFunction();
});
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 <https://dev.mysql.com/doc/refman/8.0/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(TokenType::T_IDENTIFIER); // (2)
$parser->match(TokenType::T_OPEN_PARENTHESIS); // (3)
$this->firstDateExpression = $parser->ArithmeticPrimary(); // (4)
$parser->match(TokenType::T_COMMA); // (5)
$this->secondDateExpression = $parser->ArithmeticPrimary(); // (6)
$parser->match(TokenType::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 :ref:`DQL EBNF grammar
<dql_ebnf_grammar>`
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 <https://dev.mysql.com/doc/refman/8.0/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(TokenType::T_IDENTIFIER);
$parser->match(TokenType::T_OPEN_PARENTHESIS);
$this->firstDateExpression = $parser->ArithmeticPrimary();
$parser->match(TokenType::T_COMMA);
$parser->match(TokenType::T_IDENTIFIER);
$this->intervalExpression = $parser->ArithmeticPrimary();
$parser->match(TokenType::T_IDENTIFIER);
/** @var Lexer $lexer */
$lexer = $parser->getLexer();
$this->unit = $lexer->token['value'];
$parser->match(TokenType::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 ORM 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 the GitHub DoctrineExtensions repository <https://github.com/beberlei/DoctrineExtensions>`_.

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@@ -1,93 +0,0 @@
Entities in the Session
=======================
There are several use-cases to save entities in the session, for example:
1. User data
2. Multi-step forms
To achieve this with Doctrine you have to pay attention to some details to get
this working.
Updating an entity
------------------
In Doctrine an entity objects has to be "managed" by an EntityManager to be
updatable. Entities saved into the session are not managed in the next request
anymore. This means that you have to update the entities with the stored session
data after you fetch the entities from the EntityManager again.
For a representative User object the code to get data from the session into a
managed Doctrine object can look like these examples:
Working with scalars
~~~~~~~~~~~~~~~~~~~~
In simpler applications there is no need to work with objects in sessions and you can use
separate session elements.
.. code-block:: php
<?php
require_once 'bootstrap.php';
session_start();
if (isset($_SESSION['userId']) && is_int($_SESSION['userId'])) {
$userId = $_SESSION['userId'];
$em = GetEntityManager(); // creates an EntityManager
$user = $em->find(User::class, $userId);
$user->setValue($_SESSION['storedValue']);
$em->flush();
}
Working with custom data transfer objects
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
If objects are needed, we discourage the storage of entity objects in the session. It's
preferable to use a `DTO (data transfer object) <https://en.wikipedia.org/wiki/Data_transfer_object>`_
instead and merge the DTO data later with the entity.
.. code-block:: php
<?php
require_once 'bootstrap.php';
session_start();
if (isset($_SESSION['user']) && $_SESSION['user'] instanceof UserDto) {
$userDto = $_SESSION['user'];
$em = GetEntityManager(); // creates an EntityManager
$userEntity = $em->find(User::class, $userDto->getId());
$userEntity->populateFromDto($userDto);
$em->flush();
}
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 their
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 shouldn't serialize an entity and use
only the needed values of it. This can happen with the help of a DTO.
.. code-block:: php
<?php
require_once 'bootstrap.php';
$em = GetEntityManager(); // creates an EntityManager
$user = $em->find("User", 1);
$userDto = new UserDto($user->getId(), $user->getFirstName(), $user->getLastName());
// or "UserDto::createFrom($user);", but don't store an entity in a property. Only its values without relations.
$_SESSION['user'] = $userDto;

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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 <https://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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@@ -1,75 +0,0 @@
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 <https://martinfowler.com/eaaCatalog/layerSupertype.html>`_
for all our domain objects.
.. note::
The notify change tracking policy is deprecated and will be removed in ORM 3.0.
(\ `Details <https://github.com/doctrine/orm/issues/8383>`_)
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\Persistence\NotifyPropertyChanged;
use Doctrine\Persistence\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 attributes, 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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Mysql Enums
===========
The type system of Doctrine ORM 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 ORM 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 $platform)
{
return "ENUM('visible', 'invisible')";
}
public function convertToPHPValue($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;
}
public function requiresSQLCommentHint(AbstractPlatform $platform)
{
return true;
}
}
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(", ", $values).")";
}
public function convertToPHPValue($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;
}
public function requiresSQLCommentHint(AbstractPlatform $platform)
{
return true;
}
}
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 discrete 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 ORM 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
<?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
<?php
// src/Acme/InvoiceModule/Entity/Invoice.php
namespace Acme\InvoiceModule\Entity;
use Doctrine\ORM\Mapping AS ORM;
use Acme\InvoiceModule\Model\InvoiceSubjectInterface;
#[ORM\Entity]
#[ORM\Table(name: 'invoice')]
class Invoice
{
#[ORM\ManyToOne(targetEntity: InvoiceSubjectInterface::class)]
protected InvoiceSubjectInterface $subject;
}
An InvoiceSubjectInterface
.. code-block:: php
<?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
<?php
$evm = new \Doctrine\Common\EventManager;
$rtel = new \Doctrine\ORM\Tools\ResolveTargetEntityListener;
// Adds a target-entity class
$rtel->addResolveTargetEntity('Acme\\InvoiceModule\\Model\\InvoiceSubjectInterface', 'Acme\\CustomerModule\\Entity\\Customer', array());
// Add the ResolveTargetEntityListener
$evm->addEventListener(Doctrine\ORM\Events::loadClassMetadata, $rtel);
$connection = \Doctrine\DBAL\DriverManager::getConnection($connectionOptions, $config, $evm);
$em = new \Doctrine\ORM\EntityManager($connection, $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 = $eventArgs->getClassMetadata();
if (!$classMetadata->isInheritanceTypeSingleTable() || $classMetadata->getName() === $classMetadata->rootEntityName) {
$classMetadata->setPrimaryTable([
'name' => $this->prefix . $classMetadata->getTableName()
]);
}
foreach ($classMetadata->getAssociationMappings() as $fieldName => $mapping) {
if ($mapping['type'] == \Doctrine\ORM\Mapping\ClassMetadata::MANY_TO_MANY && $mapping['isOwningSide']) {
$mappedTableName = $mapping['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);
$em = new \Doctrine\ORM\EntityManager($connection, $config, $evm);

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@@ -1,253 +0,0 @@
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 ORM 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 ORM)
*
* This is a doctrine field, so make sure that you use a
#[Column] attribute 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 ORM.
*
* @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 ORM
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\Common\EventSubscriber;
use Doctrine\ORM\Event\LifecycleEventArgs;
use Doctrine\ORM\Events;
/**
* The BlockStrategyEventListener will initialize a strategy after the
* block itself was loaded.
*/
class BlockStrategyEventListener implements EventSubscriber {
protected $view;
public function __construct(\Zend_View_Interface $view) {
$this->view = $view;
}
public function getSubscribedEvents() {
return array(Events::postLoad);
}
public function postLoad(LifecycleEventArgs $args) {
$blockItem = $args->getObject();
// Both blocks and panels are instances of Block\AbstractBlock
if ($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 ORM 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. It is 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 they
are 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 > $orderLimit) {
throw new CustomerOrderLimitExceededException();
}
}
}
Now this is some pretty important piece of business logic in your
code, enforcing it at any time is important so that customers with
a unknown reputation don't owe your business too much money.
We can enforce this constraint in any of the metadata drivers.
First Attributes:
.. code-block:: php
<?php
use Doctrine\ORM\Mapping\Entity;
use Doctrine\ORM\Mapping\HasLifecycleCallbacks;
use Doctrine\ORM\Mapping\PrePersist;
use Doctrine\ORM\Mapping\PreUpdate;
#[Entity]
#[HasLifecycleCallbacks]
class Order
{
#[PrePersist, PreUpdate]
public function assertCustomerAllowedBuying() {}
}
As Annotations:
.. code-block:: php
<?php
/**
* @Entity
* @HasLifecycleCallbacks
*/
class Order
{
/**
* @PrePersist @PreUpdate
*/
public function assertCustomerAllowedBuying() {}
}
In XML Mappings:
.. code-block:: xml
<doctrine-mapping>
<entity name="Order">
<lifecycle-callbacks>
<lifecycle-callback type="prePersist" method="assertCustomerallowedBuying" />
<lifecycle-callback type="preUpdate" method="assertCustomerallowedBuying" />
</lifecycle-callbacks>
</entity>
</doctrine-mapping>
Now validation is performed whenever you call
``EntityManager#persist($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 caught 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: :ref:`reference-events-lifecycle-events`

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Working with DateTime Instances
===============================
There are many nitty gritty details when working with PHPs DateTime instances. You have to 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 ORM.
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
use DateTime;
#[Entity]
class Article
{
#[Column(type: 'datetime')]
private DateTime $updated;
public function setUpdated(): void
{
// will NOT be saved in the database
$this->updated->modify("now");
}
}
The way to go would be:
.. code-block:: php
<?php
use DateTime;
class Article
{
public function setUpdated(): void
{
// 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 servers 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 timezones you may be still optimistic about how
to manage this mess,
however let me crush your expectations fast. There is not a single database out there (supported by Doctrine ORM)
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 <https://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 ORM. 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 DateTimeZone;
use Doctrine\DBAL\Platforms\AbstractPlatform;
use Doctrine\DBAL\Types\ConversionException;
use Doctrine\DBAL\Types\DateTimeType;
class UTCDateTimeType extends DateTimeType
{
private static DateTimeZone $utc;
public function convertToDatabaseValue($value, AbstractPlatform $platform)
{
if ($value instanceof \DateTime) {
$value->setTimezone(self::getUtc());
}
return parent::convertToDatabaseValue($value, $platform);
}
public function convertToPHPValue($value, AbstractPlatform $platform)
{
if (null === $value || $value instanceof \DateTime) {
return $value;
}
$converted = \DateTime::createFromFormat(
$platform->getDateTimeFormatString(),
$value,
self::getUtc()
);
if (! $converted) {
throw ConversionException::conversionFailedFormat(
$value,
$this->getName(),
$platform->getDateTimeFormatString()
);
}
return $converted;
}
private static function getUtc(): DateTimeZone
{
return self::$utc ??= new DateTimeZone('UTC');
}
}
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 actually use this new type instead of the default ``datetime`` type, you need to run following
code before bootstrapping the ORM:
.. code-block:: php
<?php
use Doctrine\DBAL\Types\Type;
use DoctrineExtensions\DBAL\Types\UTCDateTimeType;
Type::overrideType('datetime', UTCDateTimeType::class);
Type::overrideType('datetimetz', UTCDateTimeType::class);
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 <https://groups.google.com/group/doctrine-user>`_
- Slack chat room `#orm <https://www.doctrine-project.org/slack>`_
- Report a bug on `GitHub <https://github.com/doctrine/orm/issues>`_.
- On `StackOverflow <https://stackoverflow.com/questions/tagged/doctrine-orm>`_
If you need more structure over the different topics you can browse the table
of contents.
Getting Started
---------------
* **Tutorial**:
:doc:`Getting Started with Doctrine <tutorials/getting-started>`
* **Setup**:
:doc:`Installation & Configuration <reference/configuration>`
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:`Attributes <reference/attributes-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:`Architecture <reference/architecture>`
* :doc:`Advanced Configuration <reference/advanced-configuration>`
* :doc:`Limitations and known issues <reference/limitations-and-known-issues>`
* :doc:`Commandline Tools <reference/tools>`
* :doc:`Transactions and Concurrency <reference/transactions-and-concurrency>`
* :doc:`Filters <reference/filters>`
* :doc:`NamingStrategy <reference/namingstrategy>`
* :doc:`TypedFieldMapper <reference/typedfieldmapper>`
* :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>`
* :doc:`Batch Processing <reference/batch-processing>`
* :doc:`Second Level Cache <reference/second-level-cache>`
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>`
* :doc:`Embeddables <tutorials/embeddables>`
Changelogs
----------
* `Upgrade <https://github.com/doctrine/orm/blob/HEAD/UPGRADE.md>`_
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:`Working with DateTime <cookbook/working-with-datetime>` \|
:doc:`Validation <cookbook/validation-of-entities>` \|
:doc:`Entities in the Session <cookbook/entities-in-session>` \|
:doc:`Keeping your Modules independent <cookbook/resolve-target-entity-listener>`
* **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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@@ -1,482 +0,0 @@
Advanced Configuration
======================
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\Configuration;
use Doctrine\ORM\EntityManager;
use Doctrine\ORM\Mapping\Driver\AttributeDriver;
use Doctrine\ORM\ORMSetup;
use Symfony\Component\Cache\Adapter\ArrayAdapter;
use Symfony\Component\Cache\Adapter\PhpFilesAdapter;
// ...
if ($applicationMode == "development") {
$queryCache = new ArrayAdapter();
$metadataCache = new ArrayAdapter();
} else {
$queryCache = new PhpFilesAdapter('doctrine_queries');
$metadataCache = new PhpFilesAdapter('doctrine_metadata');
}
$config = new Configuration;
$config->setMetadataCache($metadataCache);
$driverImpl = new AttributeDriver(['/path/to/lib/MyProject/Entities'], true);
$config->setMetadataDriverImpl($driverImpl);
$config->setQueryCache($queryCache);
$config->setProxyDir('/path/to/myproject/lib/MyProject/Proxies');
$config->setProxyNamespace('MyProject\Proxies');
if ($applicationMode == "development") {
$config->setAutoGenerateProxyClasses(true);
} else {
$config->setAutoGenerateProxyClasses(false);
}
$connection = DriverManager::getConnection([
'driver' => 'pdo_sqlite',
'path' => 'database.sqlite',
], $config);
$em = new EntityManager($connection, $config);
Doctrine and Caching
--------------------
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.
Doctrine does not bundle its own cache implementation anymore. Instead,
the PSR-6 standard interfaces are used to access the cache. In the examples
in this documentation, Symfony Cache is used as a reference implementation.
.. note::
Do not use Doctrine without a metadata and query cache!
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 5 available implementations:
- ``Doctrine\ORM\Mapping\Driver\AttributeDriver``
- ``Doctrine\ORM\Mapping\Driver\XmlDriver``
- ``Doctrine\ORM\Mapping\Driver\DriverChain``
- ``Doctrine\ORM\Mapping\Driver\AnnotationDriver`` (deprecated and will
be removed in ``doctrine/orm`` 3.0)
- ``Doctrine\ORM\Mapping\Driver\YamlDriver`` (deprecated and will be
removed in ``doctrine/orm`` 3.0)
Throughout the most part of this manual the AttributeDriver is
used in the examples. For information on the usage of the
AnnotationDriver, XmlDriver or YamlDriver please refer to the dedicated
chapters ``Annotation Reference``, ``XML Mapping`` and ``YAML Mapping``.
The attribute driver can be injected in the ``Doctrine\ORM\Configuration``:
.. code-block:: php
<?php
use Doctrine\ORM\Mapping\Driver\AttributeDriver;
$driverImpl = new AttributeDriver(['/path/to/lib/MyProject/Entities'], true);
$config->setMetadataDriverImpl($driverImpl);
The path information to the entities is required for the attribute
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
$config->setMetadataCache($cache);
$config->getMetadataCache();
Gets or sets the cache adapter to use for caching metadata
information, that is, all the information you supply via attributes,
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 PSR-6
``Psr\Cache\CacheItemPoolInterface`` interface.
Usage of a metadata cache is highly recommended.
For development you should use an array cache like
``Symfony\Component\Cache\Adapter\ArrayAdapter``
which only caches data on a per-request basis.
Query Cache (***RECOMMENDED***)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code-block:: php
<?php
$config->setQueryCache($cache);
$config->getQueryCache();
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.
For development you should use an array cache like
``Symfony\Component\Cache\Adapter\ArrayAdapter``
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
deprecated ``Doctrine\DBAL\Logging\SQLLogger`` interface.
Auto-generating Proxy Classes (***OPTIONAL***)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Proxy classes can either be generated manually through the Doctrine
Console or automatically at runtime by Doctrine. The configuration
option that controls this behavior is:
.. code-block:: php
<?php
$config->setAutoGenerateProxyClasses($mode);
Possible values for ``$mode`` are:
- ``Doctrine\ORM\Proxy\ProxyFactory::AUTOGENERATE_NEVER``
Never autogenerate a proxy. You will need to generate the proxies
manually, for this use the Doctrine Console like so:
.. code-block:: php
$ ./doctrine orm:generate-proxies
When you do this in a development environment,
be aware that you may get class/file not found errors if certain proxies
are not yet generated. You may also get 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.
- ``Doctrine\ORM\Proxy\ProxyFactory::AUTOGENERATE_ALWAYS``
Always generates a new proxy in every request and writes it to disk.
- ``Doctrine\ORM\Proxy\ProxyFactory::AUTOGENERATE_FILE_NOT_EXISTS``
Generate the proxy class when the proxy file does not exist.
This strategy causes a file exists call whenever any proxy is
used the first time in a request.
- ``Doctrine\ORM\Proxy\ProxyFactory::AUTOGENERATE_EVAL``
Generate the proxy classes and evaluate them on the fly via eval(),
avoiding writing the proxies to disk.
This strategy is only sane for development.
In a production environment, it is highly recommended to use
AUTOGENERATE_NEVER to allow for optimal performances. The other
options are interesting in development environment.
``setAutoGenerateProxyClasses`` can accept a boolean
value. This is still possible, ``FALSE`` being equivalent to
AUTOGENERATE_NEVER and ``TRUE`` to AUTOGENERATE_ALWAYS.
Development vs Production Configuration
---------------------------------------
You should code your Doctrine2 bootstrapping with two different
runtime models in mind. There are some serious benefits of using
APCu 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 an array cache 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
----------
The ``$connection`` passed as the first argument to he constructor of
``EntityManager`` has to be an instance of ``Doctrine\DBAL\Connection``.
You can use the factory ``Doctrine\DBAL\DriverManager::getConnection()``
to create such a connection. The DBAL configuration is explained in the
`DBAL section <https://www.doctrine-project.org/projects/doctrine-dbal/en/current/reference/configuration.html>`_.
Proxy Objects
-------------
A proxy object is an object that is put in place or used instead of
the "real" object. A proxy object can add behavior to the object
being proxied without that object being aware of it. In ORM,
proxy objects are used to realize several features but mainly for
transparent lazy-loading.
Proxy objects with their lazy-loading facilities help to keep the
subset of objects that are already in memory connected to the rest
of the objects. This is an essential property as without it there
would always be fragile partial objects at the outer edges of your
object graph.
Doctrine ORM implements a variant of the proxy pattern where it
generates classes that extend your entity classes and adds
lazy-loading capabilities to them. Doctrine can then give you an
instance of such a proxy class whenever you request an object of
the class being proxied. This happens in two situations:
Reference Proxies
~~~~~~~~~~~~~~~~~
The method ``EntityManager#getReference($entityName, $identifier)``
lets you obtain a reference to an entity for which the identifier
is known, without necessarily 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.
Consider the following example:
.. 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);
Whether the object being returned from ``EntityManager#getReference()``
is a proxy or a direct instance of the entity class may depend on different
factors, including whether the entity has already been loaded into memory
or entity inheritance being used. But your code does not need to care
and in fact it **should not care**. Proxy objects should be transparent to your
code.
When using the ``EntityManager#getReference()`` method, you need to be aware
of a few peculiarities.
At the best case, the ORM can avoid querying the database at all. But, that
also means that this method will not throw an exception when an invalid value
for the ``$identifier`` parameter is passed. ``$identifier`` values are
not checked and there is no guarantee that the requested entity instance even
exists the method will still return a proxy object.
Its only when the proxy has to be fully initialized or associations cannot
be written to the database that invalid ``$identifier`` values may lead to
exceptions.
The ``EntityManager#getReference()`` is mostly useful when you only
need a reference to some entity to make an association, like in the example
above. In that case, it can save you from loading data from the database
that you don't need. But remember as soon as you read any property values
besides those making up the ID, a database request will be made to initialize
all fields.
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
~~~~~~~~~~~~~~~~~~~~~~~~
In a production environment, it is highly recommended to use
``AUTOGENERATE_NEVER`` to allow for optimal performances.
However you will be required to generate the proxies manually
using the Doctrine Console:
.. code-block:: php
$ ./doctrine orm:generate-proxies
The other options are interesting in development environment:
- ``AUTOGENERATE_ALWAYS`` will require you to create and configure
a proxy directory. Proxies will be generated and written to file
on each request, so any modification to your code will be acknowledged.
- ``AUTOGENERATE_FILE_NOT_EXISTS`` will not overwrite an existing
proxy file. If your code changes, you will need to regenerate the
proxies manually.
- ``AUTOGENERATE_EVAL`` will regenerate each proxy on each request,
but without writing them to disk.
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 ORM you may end up
with them using two different metadata drivers, for example XML and
YAML. You can use the MappingDriverChain Metadata implementations to
aggregate these drivers based on namespaces:
.. code-block:: php
<?php
use Doctrine\Persistence\Mapping\Driver\MappingDriverChain;
$chain = new MappingDriverChain();
$chain->addDriver($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
Ignoring entities (***OPTIONAL***)
-----------------------------------
Specifies the Entity FQCNs to ignore.
SchemaTool will then skip these (e.g. when comparing schemas).
.. code-block:: php
<?php
$config->setSchemaIgnoreClasses([$fqcn]);
$config->getSchemaIgnoreClasses();
Setting up the Console
----------------------
Doctrine uses the Symfony Console component for generating the command
line interface. You can take a look at the
:doc:`tools chapter <../reference/tools>` for inspiration how to setup the cli.

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Architecture
============
This chapter gives an overview of the overall architecture,
terminology and constraints of Doctrine ORM. It is recommended to
read this chapter carefully.
Using an Object-Relational Mapper
---------------------------------
As the term ORM already hints at, Doctrine ORM 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 do not primarily work with objects Doctrine ORM is not suited very
well.
Requirements
------------
Doctrine ORM requires a minimum of PHP 7.1. For greatly improved
performance it is also recommended that you use APC with PHP.
Doctrine ORM Packages
-------------------
Doctrine ORM is divided into four main packages.
- `Collections <https://www.doctrine-project.org/projects/doctrine-collections/en/stable/index.html>`_
- `Event Manager <https://www.doctrine-project.org/projects/doctrine-event-manager/en/stable/index.html>`_
- `Persistence <https://www.doctrine-project.org/projects/doctrine-persistence/en/stable/index.html>`_
- `DBAL <https://www.doctrine-project.org/projects/doctrine-dbal/en/stable/index.html>`_
- ORM (depends on DBAL+Persistence+Collections)
This manual mainly covers the ORM package, sometimes touching parts
of the underlying DBAL and Persistence 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 Persistence and Collections
without the ORM or DBAL
- ...allow you to use the DBAL without the ORM
Collection, Event Manager and Persistence
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The Collection, Event Manager and Persistence packages contain highly
reusable components that have no dependencies beyond the packages
themselves (and PHP, of course). The root namespace of the Persistence
package is ``Doctrine\Persistence``. The root namespace of the
Collection package is ``Doctrine\Common\Collections``, for historical
reasons. The root namespace of the Event Manager package is just
``Doctrine\Common``, also for historical reasons.
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
-----------
.. _terminology_entities:
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 nor read-only but
it may contain final methods or read-only properties.
- 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.
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.
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.
Mapped superclasses are explained in greater detail in the chapter
on :doc:`inheritance mapping </reference/inheritance-mapping>`.
Transient Classes
~~~~~~~~~~~~~~~~~
The term "transient class" appears in some places in the mapping
drivers as well as the code dealing with metadata handling.
A transient class is a class that is neither an entity nor a mapped
superclass. From the ORM's point of view, these classes can be
completely ignored, and no class metadata is loaded for them at all.
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.
By default, serializing proxy objects does not initialize them. On
unserialization, resulting objects are detached from the entity
manager and cannot be initialiazed anymore. You can implement the
``__serialize()`` method if you want to change that behavior, but
then you need to ensure that you won't generate large serialized
object graphs and take care of circular associations.
The EntityManager
~~~~~~~~~~~~~~~~~
The ``EntityManager`` class is a central access point to the
functionality provided by Doctrine ORM. 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.
.. _unit-of-work:
The Unit of Work
~~~~~~~~~~~~~~~~
Internally an ``EntityManager`` uses a ``UnitOfWork``, which is a
typical implementation of the
`Unit of Work pattern <https://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 guide explains the basic mapping of entities and properties.
After working through this guide you should know:
- How to create PHP objects that can be saved to the database with Doctrine;
- How to configure the mapping between columns on tables and properties on
entities;
- What Doctrine mapping types are;
- Defining primary keys and how identifiers are generated by Doctrine;
- How quoting of reserved symbols works in Doctrine.
Mapping of associations will be covered in the next chapter on
:doc:`Association Mapping <association-mapping>`.
Creating Classes for the Database
---------------------------------
Every PHP object that you want to save in the database using Doctrine
is called an *Entity*. The term "Entity" describes objects
that have an identity over many independent requests. This identity is
usually achieved by assigning a unique identifier to an entity.
In this tutorial the following ``Message`` PHP class will serve as the
example Entity:
.. code-block:: php
<?php
class Message
{
private $id;
private $text;
private $postedAt;
}
Because Doctrine is a generic library, it only knows about your
entities because you will describe their existence and structure using
mapping metadata, which is configuration that tells Doctrine how your
entity should be stored in the database. The documentation will often
speak of "mapping something", which means writing the mapping metadata
that describes your entity.
Doctrine provides several different ways to specify object-relational
mapping metadata:
- :doc:`Attributes <attributes-reference>`
- :doc:`XML <xml-mapping>`
- :doc:`PHP code <php-mapping>`
- :doc:`Docblock Annotations <annotations-reference>` (deprecated and will be removed in ``doctrine/orm`` 3.0)
- :doc:`YAML <yaml-mapping>` (deprecated and will be removed in ``doctrine/orm`` 3.0.)
This manual will usually show mapping metadata via attributes, though
many examples also show the equivalent configuration in annotations,
YAML and XML.
.. note::
All metadata drivers perform equally. Once the metadata of a class has been
read from the source (attributes, annotations, XML, etc.) it is stored in an instance
of the ``Doctrine\ORM\Mapping\ClassMetadata`` class which are
stored in the metadata cache. If you're not using a metadata cache (not
recommended!) then the XML driver is the fastest.
Marking our ``Message`` class as an entity for Doctrine is straightforward:
.. configuration-block::
.. code-block:: attribute
<?php
use Doctrine\ORM\Mapping\Entity;
#[Entity]
class Message
{
// ...
}
.. code-block:: annotation
<?php
use Doctrine\ORM\Mapping\Entity;
/** @Entity */
class Message
{
// ...
}
.. code-block:: xml
<doctrine-mapping>
<entity name="Message">
<!-- ... -->
</entity>
</doctrine-mapping>
.. code-block:: yaml
Message:
type: entity
# ...
With no additional information, Doctrine expects the entity to be saved
into a table with the same name as the class in our case ``Message``.
You can change this by configuring information about the table:
.. configuration-block::
.. code-block:: attribute
<?php
use Doctrine\ORM\Mapping\Entity;
use Doctrine\ORM\Mapping\Table;
#[Entity]
#[Table(name: 'message')]
class Message
{
// ...
}
.. code-block:: annotation
<?php
use Doctrine\ORM\Mapping\Entity;
use Doctrine\ORM\Mapping\Table;
/**
* @Entity
* @Table(name="message")
*/
class Message
{
// ...
}
.. code-block:: xml
<doctrine-mapping>
<entity name="Message" table="message">
<!-- ... -->
</entity>
</doctrine-mapping>
.. code-block:: yaml
Message:
type: entity
table: message
# ...
Now the class ``Message`` will be saved and fetched from the table ``message``.
Property Mapping
----------------
The next step is mapping its properties to columns in the table.
To configure a property use the ``Column`` attribute. The ``type``
argument specifies the :ref:`Doctrine Mapping Type
<reference-mapping-types>` to use for the field. If the type is not
specified, ``string`` is used as the default.
.. configuration-block::
.. code-block:: attribute
<?php
use Doctrine\ORM\Mapping\Column;
use Doctrine\DBAL\Types\Types;
#[Entity]
class Message
{
#[Column(type: Types::INTEGER)]
private $id;
#[Column(length: 140)]
private $text;
#[Column(name: 'posted_at', type: Types::DATETIME)]
private $postedAt;
}
.. code-block:: annotation
<?php
use Doctrine\ORM\Mapping\Entity;
use Doctrine\ORM\Mapping\Column;
/** @Entity */
class Message
{
/** @Column(type="integer") */
private $id;
/** @Column(length=140) */
private $text;
/** @Column(type="datetime", name="posted_at") */
private $postedAt;
}
.. code-block:: xml
<doctrine-mapping>
<entity name="Message">
<field name="id" type="integer" />
<field name="text" length="140" />
<field name="postedAt" column="posted_at" type="datetime" />
</entity>
</doctrine-mapping>
.. code-block:: yaml
Message:
type: entity
fields:
id:
type: integer
text:
length: 140
postedAt:
type: datetime
column: posted_at
When we don't explicitly specify a column name via the ``name`` option, Doctrine
assumes the field name is also the column name. So in this example:
* the ``id`` property will map to the column ``id`` using the type ``integer``;
* the ``text`` property will map to the column ``text`` with the default mapping type ``string``;
* the ``postedAt`` property will map to the ``posted_at`` column with the ``datetime`` type.
Here is a complete list of ``Column``s attributes (all optional):
- ``type`` (default: 'string'): The mapping type to use for the column.
- ``name`` (default: name of property): The name of the column in the database.
- ``length`` (default: 255): The length of the column in the database.
Applies only if a string-valued column is used.
- ``unique`` (default: ``false``): Whether the column is a unique key.
- ``nullable`` (default: ``false``): Whether the column is nullable.
- ``insertable`` (default: ``true``): Whether the column should be inserted.
- ``updatable`` (default: ``true``): Whether the column should be updated.
- ``generated`` (default: ``null``): Whether the generated strategy should be ``'NEVER'``, ``'INSERT'`` and ``ALWAYS``.
- ``enumType`` (requires PHP 8.1 and ``doctrine/orm`` 2.11): The PHP enum class name to convert the database value into.
- ``precision`` (default: 0): The precision for a decimal (exact numeric) column
(applies only for decimal column),
which is the maximum number of digits that are stored for the values.
- ``scale`` (default: 0): The scale for a decimal (exact
numeric) column (applies only for decimal column), which represents
the number of digits to the right of the decimal point and must
not be greater than ``precision``.
- ``columnDefinition``: Allows to define a custom
DDL snippet that is used to create the column. Warning: This normally
confuses the :doc:`SchemaTool <tools>` to always detect the column as changed.
- ``options``: Key-value pairs of options that get passed
to the underlying database platform when generating DDL statements.
.. _reference-php-mapping-types:
PHP Types Mapping
_________________
.. versionadded:: 2.9
The column types can be inferred automatically from PHP's property types.
However, when the property type is nullable this has no effect on the ``nullable`` Column attribute.
These are the "automatic" mapping rules:
+-----------------------+-------------------------------+
| PHP property type | Doctrine column type |
+=======================+===============================+
| ``DateInterval`` | ``Types::DATEINTERVAL`` |
+-----------------------+-------------------------------+
| ``DateTime`` | ``Types::DATETIME_MUTABLE`` |
+-----------------------+-------------------------------+
| ``DateTimeImmutable`` | ``Types::DATETIME_IMMUTABLE`` |
+-----------------------+-------------------------------+
| ``array`` | ``Types::JSON`` |
+-----------------------+-------------------------------+
| ``bool`` | ``Types::BOOLEAN`` |
+-----------------------+-------------------------------+
| ``float`` | ``Types::FLOAT`` |
+-----------------------+-------------------------------+
| ``int`` | ``Types::INTEGER`` |
+-----------------------+-------------------------------+
| Any other type | ``Types::STRING`` |
+-----------------------+-------------------------------+
As of version 2.11 Doctrine can also automatically map typed properties using a
PHP 8.1 enum to set the right ``type`` and ``enumType``.
.. versionadded:: 2.14
Since version 2.14 you can specify custom typed field mapping between PHP type and DBAL type using ``Configuration``
and a custom ``Doctrine\ORM\Mapping\TypedFieldMapper`` implementation.
:doc:`Read more about TypedFieldMapper <typedfieldmapper>`.
.. _reference-mapping-types:
Doctrine Mapping Types
----------------------
The ``type`` option used in the ``@Column`` accepts any of the
`existing Doctrine DBAL types <https://docs.doctrine-project.org/projects/doctrine-dbal/en/stable/reference/types.html#reference>`_
or :doc:`your own custom mapping types
<../cookbook/custom-mapping-types>`. A Doctrine type defines
the conversion between PHP and SQL types, independent from the database vendor
you are using.
.. 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() <https://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.
Identifiers / Primary Keys
--------------------------
Every entity class must have an identifier/primary key. You can select
the field that serves as the identifier with the ``#[Id]`` attribute.
.. configuration-block::
.. code-block:: attribute
<?php
class Message
{
#[Id]
#[Column(type: 'integer')]
#[GeneratedValue]
private int|null $id = null;
// ...
}
.. code-block:: annotation
<?php
class Message
{
/**
* @Id
* @Column(type="integer")
* @GeneratedValue
*/
private int|null $id = null;
// ...
}
.. code-block:: xml
<doctrine-mapping>
<entity name="Message">
<id name="id" type="integer">
<generator strategy="AUTO" />
</id>
<!-- -->
</entity>
</doctrine-mapping>
.. code-block:: yaml
Message:
type: entity
id:
id:
type: integer
generator:
strategy: AUTO
fields:
# fields here
In most cases using the automatic generator strategy (``#[GeneratedValue]``) is
what you want, but for backwards-compatibility reasons it might not. It
defaults to the identifier generation mechanism your current database
vendor preferred at the time that strategy was introduced:
``AUTO_INCREMENT`` with MySQL, sequences with PostgreSQL and Oracle and
so on.
.. _identifier-generation-strategies:
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 you 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, MsSQL and SQL Anywhere and, for
historical reasons, ``SEQUENCE`` for Oracle and PostgreSQL. This
strategy provides full portability.
- ``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/SQL Anywhere
(``AUTO_INCREMENT``), MSSQL (``IDENTITY``) and PostgreSQL (``SERIAL``).
- ``SEQUENCE``: Tells Doctrine to use a database sequence for ID
generation. This strategy does currently not provide full
portability. Sequences are supported by Oracle, PostgreSql and
SQL Anywhere.
- ``UUID`` (deprecated): Tells Doctrine to use the built-in Universally
Unique Identifier generator. This strategy provides full portability.
- ``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.
- ``CUSTOM``: With this option, you can use the ``#[CustomIdGenerator]`` attribute.
It will allow you to pass a :ref:`class of your own to generate the identifiers. <annref_customidgenerator>`
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:: attribute
<?php
class Message
{
#[Id]
#[GeneratedValue(strategy: 'SEQUENCE')]
#[SequenceGenerator(sequenceName: 'message_seq', initialValue: 1, allocationSize: 100)]
protected int|null $id = null;
// ...
}
.. code-block:: annotation
<?php
class Message
{
/**
* @Id
* @GeneratedValue(strategy="SEQUENCE")
* @SequenceGenerator(sequenceName="message_seq", initialValue=1, allocationSize=100)
*/
protected int|null $id = null;
// ...
}
.. code-block:: xml
<doctrine-mapping>
<entity name="Message">
<id name="id" type="integer">
<generator strategy="SEQUENCE" />
<sequence-generator sequence-name="message_seq" allocation-size="100" initial-value="1" />
</id>
</entity>
</doctrine-mapping>
.. code-block:: yaml
Message:
type: entity
id:
id:
type: integer
generator:
strategy: SEQUENCE
sequenceGenerator:
sequenceName: message_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 ORM would only
need to access the sequence once to generate the identifiers for
100 new entities.
.. 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
~~~~~~~~~~~~~~
With Doctrine ORM you can use composite primary keys, using ``#[Id]`` on
more than one column. Some restrictions exist opposed to using a single
identifier in this case: The use of the ``#[GeneratedValue]`` attribute
is not supported, which means you can only use composite keys if you
generate the primary key values yourself before calling
``EntityManager#persist()`` on the entity.
More details on composite primary keys are discussed in a :doc:`dedicated tutorial
<../tutorials/composite-primary-keys>`.
Quoting Reserved Words
----------------------
Sometimes it is necessary to quote a column or table name because of reserved
word conflicts. Doctrine does not quote identifiers automatically, because it
leads to more problems than it would solve. Quoting tables and column names
needs to be done explicitly using ticks in the definition.
.. 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 does not work for join column names or discriminator
column names unless you are using a custom ``QuoteStrategy``.
.. _reference-basic-mapping-custom-mapping-types:
For more control over column quoting the ``Doctrine\ORM\Mapping\QuoteStrategy`` interface
was introduced in ORM. It is invoked for every column, table, alias and other
SQL names. You can implement the QuoteStrategy and set it by calling
``Doctrine\ORM\Configuration#setQuoteStrategy()``.
The ANSI Quote Strategy was added, which assumes quoting is not necessary for any SQL name.
You can use it with the following code:
.. code-block:: php
<?php
use Doctrine\ORM\Mapping\AnsiQuoteStrategy;
$configuration->setQuoteStrategy(new AnsiQuoteStrategy());

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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.
.. note::
Having an SQL logger enabled when processing batches can have a
serious impact on performance and resource usage.
To avoid that, you should use a PSR logger implementation that can be
disabled at runtime.
For example, with Monolog, you can use ``Logger::pushHandler()``
to push a ``NullHandler`` to the logger instance, and then pop it
when you need to enable logging again.
With DBAL 2, you can disable the SQL logger like below:
.. code-block:: php
<?php
$em->getConnection()->getConfiguration()->setSQLLogger(null);
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!
}
}
$em->flush(); // Persist objects that did not make up an entire batch
$em->clear();
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#toIterable()`` 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 = $em->createQuery('select u from MyProject\Model\User u');
foreach ($q->toIterable() as $user) {
$user->increaseCredit();
$user->calculateNewBonuses();
++$i;
if (($i % $batchSize) === 0) {
$em->flush(); // Executes all updates.
$em->clear(); // Detaches all objects from Doctrine!
}
}
$em->flush();
.. 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.
.. note::
Results may be fully buffered by the database client/ connection allocating
additional memory not visible to the PHP process. For large sets this
may easily kill the process for no apparent reason.
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#toIterable()`` 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 = $em->createQuery('select u from MyProject\Model\User u');
foreach($q->toIterable() as $row) {
$em->remove($row);
++$i;
if (($i % $batchSize) === 0) {
$em->flush(); // Executes all deletions.
$em->clear(); // Detaches all objects from Doctrine!
}
}
$em->flush();
.. note::
Iterating results is not possible with queries that
fetch-join a collection-valued association. The nature of such SQL
result sets is not suitable for incremental hydration.
Iterating Large Results for Data-Processing
-------------------------------------------
You can use the ``toIterable()`` method just to iterate over a large
result and no UPDATE or DELETE intention. ``$query->toIterable()`` returns ``iterable``
so you can process a large result without memory
problems using the following approach:
.. code-block:: php
<?php
$q = $this->_em->createQuery('select u from MyProject\Model\User u');
foreach ($q->toIterable() as $row) {
// do stuff with the data in the row
// 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.
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.
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 {
/** @var Collection<int, Address> */
private Collection $addresses;
/** @var Collection<int, Article> */
private Collection $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
=======
The Doctrine ORM package can leverage cache adapters implementing the PSR-6
standard to allow you to improve the performance of various aspects of
Doctrine by simply making some additional configurations and method calls.
.. _types-of-caches:
Types of Caches
---------------
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
$cache = new \Symfony\Component\Cache\Adapter\PhpFilesAdapter('doctrine_queries');
$config = new \Doctrine\ORM\Configuration();
$config->setQueryCache($cache);
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 again after the first time.
You just need to configure the result cache implementation.
.. code-block:: php
<?php
$cache = new \Symfony\Component\Cache\Adapter\PhpFilesAdapter(
'doctrine_results',
0,
'/path/to/writable/directory'
);
$config = new \Doctrine\ORM\Configuration();
$config->setResultCache($cache);
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->enableResultCache();
You can also configure an individual query to use a different
result cache driver.
.. code-block:: php
<?php
$cache = new \Symfony\Component\Cache\Adapter\PhpFilesAdapter(
'doctrine_results',
0,
'/path/to/writable/directory'
);
$query->setResultCache($cache);
.. note::
Setting the result cache driver on the query will
automatically enable the result cache for the query. If you want to
disable it use ``disableResultCache()``.
::
<?php
$query->disableResultCache();
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 first and second argument to ``enableResultCache()``.
.. code-block:: php
<?php
$query->enableResultCache(3600, 'my_custom_id');
Metadata Cache
~~~~~~~~~~~~~~
Your class metadata can be parsed from a few different sources like
YAML, XML, Attributes, 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
$cache = \Symfony\Component\Cache\Adapter\PhpFilesAdapter(
'doctrine_metadata',
0,
'/path/to/writable/directory'
);
$config = new \Doctrine\ORM\Configuration();
$config->setMetadataCache($cache);
Now the metadata information will only be parsed once and stored in
the cache driver.
Clearing the Cache
------------------
We've already shown you how you can use the API of the
cache drivers to manually delete cache entries. For your
convenience we offer command line tasks to help you with
clearing the query, result and metadata cache.
From the Doctrine command line you can run the following commands:
To clear the query cache use the ``orm:clear-cache:query`` task.
.. code-block:: php
$ ./doctrine orm:clear-cache:query
To clear the metadata cache use the ``orm:clear-cache:metadata`` task.
.. code-block:: php
$ ./doctrine orm:clear-cache:metadata
To clear the result cache use the ``orm:clear-cache:result`` task.
.. code-block:: php
$ ./doctrine orm:clear-cache:result
All these tasks accept a ``--flush`` option to flush the entire
contents of the cache instead of invalidating the entries.
.. note::
None of these tasks will work with APC, APCu, or XCache drivers
because the memory that the cache is stored in is only accessible
to the webserver.
Cache Chaining
--------------
A common pattern is to use a static cache to store data that is
requested many times in a single PHP request. Even though this data
may be stored in a fast memory cache, often that cache is over a
network link leading to sizable network traffic.
A chain cache class allows multiple caches to be registered at once.
For example, a per-request array cache can be used first, followed by
a (relatively) slower Memcached cache if the array cache misses.
The chain cache automatically handles pushing data up to faster caches in
the chain and clearing data in the entire stack when it is deleted.
Symfony Cache provides such a chain cache. To find out how to use it,
please have a look at the
`Symfony Documentation <https://symfony.com/doc/current/components/cache/adapters/chain_adapter.html>`_.
Cache Slams
-----------
Something to be careful of when using the cache drivers is
"cache slams". Imagine 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 to 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 ORM 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
~~~~~~
.. note::
The notify change tracking policy is deprecated and will be removed in ORM 3.0.
(\ `Details <https://github.com/doctrine/orm/issues/8383>`_)
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\Persistence\NotifyPropertyChanged,
Doctrine\Persistence\PropertyChangedListener;
#[Entity]
#[ChangeTrackingPolicy('NOTIFY')]
class MyEntity implements NotifyPropertyChanged
{
// ...
private array $_listeners = array();
public function addPropertyChangedListener(PropertyChangedListener $listener): void
{
$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, $newValue): void
{
if ($this->_listeners) {
foreach ($this->_listeners as $listener) {
$listener->propertyChanged($this, $propName, $oldValue, $newValue);
}
}
}
public function setData($data): void
{
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.
If your entity contains an embeddable, you will need to notify
separately for each property in the embeddable when it changes
for example:
.. code-block:: php
<?php
// ...
class MyEntity implements NotifyPropertyChanged
{
public function setEmbeddable(MyValueObject $embeddable): void
{
if (!$embeddable->equals($this->embeddable)) {
// notice the entityField.embeddableField notation for referencing the property
$this->_onPropertyChanged('embeddable.prop1', $this->embeddable->getProp1(), $embeddable->getProp1());
$this->_onPropertyChanged('embeddable.prop2', $this->embeddable->getProp2(), $embeddable->getProp2());
$this->embeddable = $embeddable;
}
}
}
This would update all the fields of the embeddable, you may wish to
implement a diff method on your embedded object which returns only
the changed fields.
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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Installation and Configuration
==============================
Doctrine can be installed with `Composer <https://getcomposer.org>`_.
Define the following requirement in your ``composer.json`` file:
::
{
"require": {
"doctrine/orm": "*"
}
}
Then call ``composer install`` from your command line. If you don't know
how Composer works, check out their `Getting Started <https://getcomposer.org/doc/00-intro.md>`_ to set up.
Class loading
-------------
Autoloading is taken care of by Composer. You just have to include the composer autoload file in your project:
.. code-block:: php
<?php
// bootstrap.php
// Include Composer Autoload (relative to project root).
require_once "vendor/autoload.php";
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.
.. code-block:: php
<?php
// bootstrap.php
require_once "vendor/autoload.php";
use Doctrine\DBAL\DriverManager;
use Doctrine\ORM\EntityManager;
use Doctrine\ORM\ORMSetup;
$paths = ['/path/to/entity-files'];
$isDevMode = false;
// the connection configuration
$dbParams = [
'driver' => 'pdo_mysql',
'user' => 'root',
'password' => '',
'dbname' => 'foo',
];
$config = ORMSetup::createAttributeMetadataConfiguration($paths, $isDevMode);
$connection = DriverManager::getConnection($dbParams, $config);
$entityManager = new EntityManager($connection, $config);
.. note::
The ``ORMSetup`` class has been introduced with ORM 2.12. It's predecessor ``Setup`` is deprecated and will
be removed in version 3.0.
Or if you prefer XML:
.. code-block:: php
<?php
$paths = ['/path/to/xml-mappings'];
$config = ORMSetup::createXMLMetadataConfiguration($paths, $isDevMode);
$connection = DriverManager::getConnection($dbParams, $config);
$entityManager = new EntityManager($connection, $config);
Or if you prefer YAML:
.. code-block:: php
<?php
$paths = ['/path/to/yml-mappings'];
$config = ORMSetup::createYAMLMetadataConfiguration($paths, $isDevMode);
$connection = DriverManager::getConnection($dbParams, $config);
$entityManager = new EntityManager($connection, $config);
.. note::
If you want to use yml mapping you should add yaml dependency to your `composer.json`:
::
"symfony/yaml": "*"
Inside the ``ORMSetup`` methods several assumptions are made:
- If ``$isDevMode`` is true caching is done in memory with the ``ArrayAdapter``. Proxy objects are recreated on every request.
- If ``$isDevMode`` is false, check for Caches in the order APCu, Redis (127.0.0.1:6379), Memcache (127.0.0.1:11211) unless `$cache` is passed as fourth argument.
- If ``$isDevMode`` is false, set then proxy classes have to be explicitly created through the command line.
- If third argument `$proxyDir` is not set, use the systems temporary directory.
.. note::
In order to have ``ORMSetup`` configure the cache automatically, the library ``symfony/cache``
has to be installed as a dependency.
If you want to configure Doctrine in more detail, take a look at the :doc:`Advanced Configuration </reference/advanced-configuration>` section.
.. note::
You can learn more about the database connection configuration in the
`Doctrine DBAL connection configuration reference <https://docs.doctrine-project.org/projects/doctrine-dbal/en/stable/reference/configuration.html>`_.
Setting up the Commandline Tool
-------------------------------
Doctrine ships with a number of command line tools that are very helpful
during development. In order to make use of them, create an executable PHP
script in your project as described in the
:doc:`tools chapter <../reference/tools>`.

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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?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In your mapping configuration, the column definition (for example, the
``#[Column]`` attribute) has an ``options`` parameter where you can specify
the ``charset`` and ``collation``. The default values are ``utf8`` and
``utf8_unicode_ci``, respectively.
Entity Classes
--------------
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
{
private const STATUS_DISABLED = 0;
private const STATUS_ENABLED = 1;
private string $algorithm = "sha1";
/** @var self::STATUS_* */
private int $status = self::STATUS_DISABLED;
}
.
Mapping
-------
Why do I get exceptions about unique constraint failures during ``$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 ``$em->flush()`` if you know that unique constraint failures
can occur.
In `Symfony2 <https://www.symfony.com>`_ for example there is a Unique Entity Validator
to achieve this task.
For collections you can check with ``$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?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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 ORM.
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 <https://github.com/beberlei/DoctrineExtensions>`_
* `Pagerfanta <https://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 ORM?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Yes, you can use Single- or Joined-Table Inheritance in ORM.
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 a 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 hierarchy.
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.
Is it better to write DQL or to generate it with the query builder?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The purpose of the ``QueryBuilder`` is to generate DQL dynamically,
which is useful when you have optional filters, conditional joins, etc.
But the ``QueryBuilder`` is not an alternative to DQL, it actually generates DQL
queries at runtime, which are then interpreted by Doctrine. This means that
using the ``QueryBuilder`` to build and run a query is actually always slower
than only running the corresponding DQL query.
So if you only need to generate a query and bind parameters to it,
you should use plain DQL, as this is a simpler and much more readable solution.
You should only use the ``QueryBuilder`` when you can't achieve what you want to do with a DQL query.
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 ORM 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 a 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.
For the filter to correctly function, the following rules must be followed. Failure to do so will lead to unexpected results from the query cache.
1. Parameters for the query should be set on the filter object by ``SQLFilter#setParameter()`` before the filter is used by the ORM ( i.e. do not set parameters inside ``SQLFilter#addFilterConstraint()`` function ).
2. The filter must be deterministic. Don't change the values base on external inputs.
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, $targetTableAlias): string
{
// Check if the entity implements the LocalAware interface
if (!$targetEntity->reflClass->implementsInterface('LocaleAware')) {
return "";
}
return $targetTableAlias.'.locale = ' . $this->getParameter('locale'); // getParameter applies quoting automatically
}
}
If the parameter is an array and should be quoted as a list of values for an IN query
this is possible with the alternative ``SQLFilter#setParameterList()`` and
``SQLFilter#getParameterList()`` functions.
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 = $em->getFilters()->disable("locale");
.. warning::
Disabling and enabling filters has no effect on managed entities. If you
want to refresh or reload an object after having modified a filter or the
FilterCollection, then you should clear the EntityManager and re-fetch your
entities, having the new rules for filtering applied.
Suspending/Restoring Filters
----------------------------
When a filter is disabled, the instance is fully deleted and all the filter
parameters previously set are lost. Then, if you enable it again, a new filter
is created without the previous filter parameters. If you want to keep a filter
(in order to use it later) but temporary disable it, you'll need to use the
``FilterCollection#suspend($name)`` and ``FilterCollection#restore($name)``
methods instead.
.. code-block:: php
<?php
$filter = $em->getFilters()->enable("locale");
$filter->setParameter('locale', 'en');
// Temporary suspend the filter
$filter = $em->getFilters()->suspend("locale");
// Do things
// Then restore it, the locale parameter will still be set
$filter = $em->getFilters()->restore("locale");
.. warning::
If you enable a previously disabled filter, doctrine will create a new
one without keeping any of the previously parameter set with
``SQLFilter#setParameter()`` or ``SQLFilter#getParameterList()``. If you
want to restore the previously disabled filter instead, you must use the
``FilterCollection#restore($name)`` method.

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Improving Performance
=====================
Bytecode Cache
--------------
It is highly recommended to make use of a bytecode cache like OPcache.
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.
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.
The preferred cache adapter for metadata and query caches is a PHP file
cache like Symfony's
`PHP files adapter <https://symfony.com/doc/current/components/cache/adapters/php_files_adapter.html>`_.
This kind of cache serializes cache items and writes them to a file.
This allows for opcode caching to be used and provides high performance in most scenarios.
See :ref:`types-of-caches`
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
------------------
You can mark entities as read only. For details, see :ref:`attrref_entity`
This means that the entity marked as read only is never considered for updates.
During 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.
You can also explicitly mark individual entities read only directly on the
UnitOfWork via a call to ``markReadOnly()``:
.. code-block:: php
$user = $entityManager->find(User::class, $id);
$entityManager->getUnitOfWork()->markReadOnly($user);
Or you can set all objects that are the result of a query hydration to be
marked as read only with the following query hint:
.. code-block:: php
$query = $entityManager->createQuery('SELECT u FROM App\\Entity\\User u');
$query->setHint(Query::HINT_READ_ONLY, true);
$users = $query->getResult();
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:`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.
See :doc:`Best Practices </reference/best-practices>`
Change Tracking policies
------------------------
See: :doc:`Change Tracking Policies <change-tracking-policies>`

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@@ -1,786 +0,0 @@
Inheritance Mapping
===================
This chapter explains the available options for mapping class
hierarchies.
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). They
are not query-able, and need not have an ``#[Id]`` property.
No database table will be created for a mapped superclass itself,
only for entity classes inheriting from it. That implies that a
mapped superclass cannot be the ``targetEntity`` in associations.
In other words, a mapped superclass can use unidirectional One-To-One
and Many-To-One associations where it is the owning side.
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.
.. note::
One-To-Many associations are not generally possible on a mapped
superclass, since they require the "many" side to hold the foreign
key.
It is, however, possible to use the :doc:`ResolveTargetEntityListener </cookbook/resolve-target-entity-listener>`
to replace references to a mapped superclass with an entity class at runtime.
As long as there is only one entity subclass inheriting from the mapped
superclass and all references to the mapped superclass are resolved to that
entity class at runtime, the mapped superclass *can* use One-To-Many associations
and be named as the ``targetEntity`` on the owning sides.
.. warning::
At least when using attributes or annotations to specify your mapping,
it *seems* as if you could inherit from a base class that is neither
an entity nor a mapped superclass, but has properties with mapping configuration
on them that would also be used in the inheriting class.
This, however, is due to how the corresponding mapping
drivers work and what the PHP reflection API reports for inherited fields.
Such a configuration is explicitly not supported. To give just one example,
it will break for ``private`` properties.
.. note::
You may be tempted to use traits to mix mapped fields or relationships
into your entity classes to circumvent some of the limitations of
mapped superclasses. Before doing that, please read the section on traits
in the :doc:`Limitations and Known Issues </reference/limitations-and-known-issues>` chapter.
Example:
.. code-block:: php
<?php
use Doctrine\ORM\Mapping\Column;
use Doctrine\ORM\Mapping\JoinColumn;
use Doctrine\ORM\Mapping\OneToOne;
use Doctrine\ORM\Mapping\Id;
use Doctrine\ORM\Mapping\MappedSuperclass;
use Doctrine\ORM\Mapping\Entity;
#[MappedSuperclass]
class Person
{
#[Column(type: 'integer')]
protected int $mapped1;
#[Column(type: 'string')]
protected string $mapped2;
#[OneToOne(targetEntity: Toothbrush::class)]
#[JoinColumn(name: 'toothbrush_id', referencedColumnName: 'id')]
protected Toothbrush|null $toothbrush = null;
// ... more fields and methods
}
#[Entity]
class Employee extends Person
{
#[Id, Column(type: 'integer')]
private int|null $id = null;
#[Column(type: 'string')]
private string $name;
// ... more fields and methods
}
#[Entity]
class Toothbrush
{
#[Id, Column(type: 'integer')]
private int|null $id = null;
// ... 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 Employee (mapped1 INTEGER NOT NULL, mapped2 TEXT NOT NULL, id INTEGER NOT NULL, name TEXT NOT NULL, toothbrush_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.
Entity Inheritance
------------------
As soon as one entity class inherits from another entity class, either
directly, with a mapped superclass or other unmapped (also called
"transient") classes in between, these entities form an inheritance
hierarchy. The topmost entity class in this hierarchy is called the
root entity, and the hierarchy includes all entities that are
descendants of this root entity.
On the root entity class, ``#[InheritanceType]``,
``#[DiscriminatorColumn]`` and ``#[DiscriminatorMap]`` must be specified.
``#[InheritanceType]`` specifies one of the two available inheritance
mapping strategies that are explained in the following sections.
``#[DiscriminatorColumn]`` designates the so-called discriminator column.
This is an extra column in the table that keeps information about which
type from the hierarchy applies for a particular database row.
``#[DiscriminatorMap]`` declares the possible values for the discriminator
column and maps them to class names in the hierarchy. This discriminator map
has to declare all non-abstract entity classes that exist in that particular
inheritance hierarchy. That includes the root as well as any intermediate
entity classes, given they are not abstract.
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.
If no discriminator map is provided, then the map is generated
automatically. The automatically generated discriminator map contains the
lowercase short name of each class as key.
.. note::
Automatically generating the discriminator map is very expensive
computation-wise. The mapping driver has to provide all classes
for which mapping configuration exists, and those have to be
loaded and checked against the current inheritance hierarchy
to see if they are part of it. The resulting map, however, can be kept
in the metadata cache.
Performance impact on to-one associations
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
There is a general performance consideration when using entity inheritance:
If the target-entity of a many-to-one or one-to-one association is part of
an inheritance hierarchy, it is preferable for performance reasons that it
be a leaf entity (ie. have no subclasses).
Otherwise, the ORM is currently unable to tell beforehand which entity class
will have to be used, and so no appropriate proxy instance can be created.
That means the referred-to entities will *always* be loaded eagerly, which
might even propagate to relationships of these entities (in the case of
self-referencing associations).
Single Table Inheritance
------------------------
`Single Table Inheritance <https://martinfowler.com/eaaCatalog/singleTableInheritance.html>`_
is an inheritance mapping strategy where all classes of a hierarchy are
mapped to a single database table.
Example:
.. configuration-block::
.. code-block:: attribute
<?php
namespace MyProject\Model;
#[Entity]
#[InheritanceType('SINGLE_TABLE')]
#[DiscriminatorColumn(name: 'discr', type: 'string')]
#[DiscriminatorMap(['person' => Person::class, 'employee' => Employee::class])]
class Person
{
// ...
}
#[Entity]
class Employee extends Person
{
// ...
}
.. code-block:: annotation
<?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
{
// ...
}
.. code-block:: yaml
MyProject\Model\Person:
type: entity
inheritanceType: SINGLE_TABLE
discriminatorColumn:
name: discr
type: string
discriminatorMap:
person: Person
employee: Employee
MyProject\Model\Employee:
type: entity
In this example, the ``#[DiscriminatorMap]`` specifies that in the
discriminator column, a value of "person" identifies a row as being of type
``Person`` and employee" identifies a row as being of type ``Employee``.
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 performing.
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 allow
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 <https://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.
The discriminator column is placed 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::class, 'employee' => Employee::class])]
class Person
{
// ...
}
#[Entity]
class Employee extends Person
{
// ...
}
As before, the ``#[DiscriminatorMap]`` specifies that in the
discriminator column, a value of "person" identifies a row as being of type
``Person`` and "employee" identifies a row as being of type ``Employee``.
.. 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 JOIN``ed 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 also another important performance consideration that it is *not possible*
to query for the base entity without any ``LEFT JOIN``s to the sub-types.
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.
.. _inheritence_mapping_overrides:
Overrides
---------
Overrides can only be applied to entities that extend a mapped superclass or
use traits. They are used to override a mapping for an entity field or
relationship defined in that mapped superclass or trait.
It is not supported to use overrides in entity inheritance scenarios.
.. note::
When using traits, make sure not to miss the warnings given in the
:doc:`Limitations and Known Issues </reference/limitations-and-known-issues>` chapter.
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:: attribute
<?php
// user mapping
namespace MyProject\Model;
#[MappedSuperclass]
class User
{
// other fields mapping
/** @var Collection<int, Group> */
#[JoinTable(name: 'users_groups')]
#[JoinColumn(name: 'user_id', referencedColumnName: 'id')]
#[InverseJoinColumn(name: 'group_id', referencedColumnName: 'id')]
#[ManyToMany(targetEntity: 'Group', inversedBy: 'users')]
protected Collection $groups;
#[ManyToOne(targetEntity: 'Address')]
#[JoinColumn(name: 'address_id', referencedColumnName: 'id')]
protected Address|null $address = null;
}
// admin mapping
namespace MyProject\Model;
#[Entity]
#[AssociationOverrides([
new AssociationOverride(
name: 'groups',
joinTable: new JoinTable(
name: 'users_admingroups',
),
joinColumns: [new JoinColumn(name: 'adminuser_id')],
inverseJoinColumns: [new JoinColumn(name: 'admingroup_id')]
),
new AssociationOverride(
name: 'address',
joinColumns: [new JoinColumn(name: 'adminaddress_id', referencedColumnName: 'id')]
)
])]
class Admin extends User
{
}
.. code-block:: annotation
<?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")}
* )
* @var Collection<int, Group>
*/
protected Collection $groups;
/**
* @ManyToOne(targetEntity="Address")
* @JoinColumn(name="address_id", referencedColumnName="id")
*/
protected Address|null $address = null;
}
// 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 based 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.
- The override could redefine ``inversedBy`` to reference more than one extended entity.
- The override could redefine fetch to modify the fetch strategy of the extended entity.
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:: attribute
<?php
// user mapping
namespace MyProject\Model;
#[MappedSuperclass]
class User
{
#[Id, GeneratedValue, Column(type: 'integer', name: 'user_id', length: 150)]
protected int|null $id = null;
#[Column(name: 'user_name', nullable: true, unique: false, length: 250)]
protected string $name;
// other fields mapping
}
// guest mapping
namespace MyProject\Model;
#[Entity]
#[AttributeOverrides([
new AttributeOverride(
name: 'id',
column: new Column(
name: 'guest_id',
type: 'integer',
length: 140
)
),
new AttributeOverride(
name: 'name',
column: new Column(
name: 'guest_name',
nullable: false,
unique: true,
length: 240
)
)
])]
class Guest extends User
{
}
.. code-block:: annotation
<?php
// user mapping
namespace MyProject\Model;
/**
* @MappedSuperclass
*/
class User
{
/** @Id @GeneratedValue @Column(type="integer", name="user_id", length=150) */
protected int|null $id = null;
/** @Column(name="user_name", nullable=true, unique=false, length=250) */
protected string $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 based on the property name.
- The column type *cannot* be changed. If the column type is not equal, you get a ``MappingException``.
- The override can redefine all the attributes except the type.
Query the Type
--------------
It may happen that the entities of a special type should be queried. Because there
is no direct access to the discriminator column, Doctrine provides the
``INSTANCE OF`` construct.
The following example shows how to use ``INSTANCE OF``. There is a three level hierarchy
with a base entity ``NaturalPerson`` which is extended by ``Staff`` which in turn
is extended by ``Technician``.
Querying for the staffs without getting any technicians can be achieved by this DQL:
.. code-block:: php
<?php
$query = $em->createQuery("SELECT staff FROM MyProject\Model\Staff staff WHERE staff NOT INSTANCE OF MyProject\Model\Technician");
$staffs = $query->getResult();

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@@ -1,6 +0,0 @@
:orphan:
Installation
============
The installation chapter has moved to :doc:`Installation and Configuration </reference/configuration>`.

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@@ -1,232 +0,0 @@
Limitations and Known Issues
============================
We try to make using Doctrine ORM 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 the ORM is not perfect and far from feature complete.
This section should give you an overview of current limitations of
Doctrine ORM 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 <https://github.com/doctrine/orm/issues/3743>`_.
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 <https://github.com/doctrine/orm/issues/5398>`_ Merge can sometimes add the same entity twice into a collection
- `DDC-763 <https://github.com/doctrine/orm/issues/5277>`_ 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 <https://github.com/doctrine/orm/issues/5178>`_
- `Evaluate possible ways in which stored-procedures can be used <https://github.com/doctrine/orm/issues/4946>`_
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 <https://github.com/doctrine/orm/issues/2817>`_
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 ORM 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 <https://www.doctrine-project.org/2010/02/17/doctrine2-behaviours-nutshell.html>`_
- `A re-usable Versionable behavior for Doctrine2 <https://www.doctrine-project.org/2010/02/24/doctrine2-versionable.html>`_
- `Write your own ORM on top of Doctrine2 <https://www.doctrine-project.org/2010/07/19/your-own-orm-doctrine2.html>`_
- `Doctrine ORM Behavioral Extensions <https://www.doctrine-project.org/2010/11/18/doctrine2-behavioral-extensions.html>`_
Doctrine ORM 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 ORM. However there are already two
extensions out there that offer support for Nested Set with
ORM:
- `Doctrine2 Hierarchical-Structural Behavior <https://github.com/guilhermeblanco/Doctrine2-Hierarchical-Structural-Behavior>`_
- `Doctrine2 NestedSet <https://github.com/blt04/doctrine2-nestedset>`_
Using Traits in Entity Classes
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The use of traits in entity or mapped superclasses, at least when they
include mapping configuration or mapped fields, is currently not
endorsed by the Doctrine project. The reasons for this are as follows.
Traits were added in PHP 5.4 more than 10 years ago, but at the same time
more than two years after the initial Doctrine 2 release and the time where
core components were designed.
In fact, this documentation mentions traits only in the context of
:doc:`overriding field association mappings in subclasses </tutorials/override-field-association-mappings-in-subclasses>`.
Coverage of traits in test cases is practically nonexistent.
Thus, you should at least be aware that when using traits in your entity and
mapped superclasses, you will be in uncharted terrain.
.. warning::
There be dragons.
From a more technical point of view, traits basically work at the language level
as if the code contained in them had been copied into the class where the trait
is used, and even private fields are accessible by the using class. In addition to
that, some precedence and conflict resolution rules apply.
When it comes to loading mapping configuration, the annotation and attribute drivers
rely on PHP reflection to inspect class properties including their docblocks.
As long as the results are consistent with what a solution *without* traits would
have produced, this is probably fine.
However, to mention known limitations, it is currently not possible to use "class"
level `annotations <https://github.com/doctrine/orm/pull/1517>`_ or
`attributes <https://github.com/doctrine/orm/issues/8868>`_ on traits, and attempts to
improve parser support for traits as `here <https://github.com/doctrine/annotations/pull/102>`_
or `there <https://github.com/doctrine/annotations/pull/63>`_ have been abandoned
due to complexity.
XML mapping configuration probably needs to completely re-configure or otherwise
copy-and-paste configuration for fields used from traits.
Mapping multiple private fields of the same name
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
When two classes, say a mapped superclass and an entity inheriting from it,
both contain a ``private`` field of the same name, this will lead to a ``MappingException``.
Since the fields are ``private``, both are technically separate and can contain
different values at the same time. However, the ``ClassMetadata`` configuration used
internally by the ORM currently refers to fields by their name only, without taking the
class containing the field into consideration. This makes it impossible to keep separate
mapping configuration for both fields.
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 bugs, improvement and feature requests on `Github issues <https://github.com/doctrine/orm/issues>`_.
Identifier Quoting and Legacy Databases
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
For compatibility reasons between all the supported vendors and
edge case problems Doctrine ORM does **NOT** do automatic identifier
quoting. This can lead to problems when trying to get
legacy-databases to work with Doctrine ORM.
- 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).
MySQL with MyISAM tables
~~~~~~~~~~~~~~~~~~~~~~~~
Doctrine cannot provide atomic operations when calling ``EntityManager#flush()`` if one
of the tables involved uses the storage engine MyISAM. You must use InnoDB or
other storage engines that support transactions if you need integrity.

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@@ -1,205 +0,0 @@
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)
- **Attributes** (AttributeDriver)
- **PHP Code in files or static functions** (PhpDriver)
There are also two deprecated ways to do this:
- **Class DocBlock Annotations** (AnnotationDriver)
- **YAML files** (YamlDriver)
They will be removed in 3.0, make sure to avoid them.
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 ApcuCache());
If you want to use one of the included core metadata drivers you need to
configure it. If you pick the annotation driver despite it being
deprecated, you will additionally need to install
``doctrine/annotations``. 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 ``MappingDriver`` interface:
.. code-block:: php
<?php
declare(strict_types=1);
namespace Doctrine\Persistence\Mapping\Driver;
use Doctrine\Persistence\Mapping\ClassMetadata;
/**
* Contract for metadata drivers.
*/
interface MappingDriver
{
/**
* Loads the metadata for the specified class into the provided container.
*
* @param class-string<T> $className
* @param ClassMetadata<T> $metadata
*
* @return void
*
* @template T of object
*/
public function loadMetadataForClass(string $className, ClassMetadata $metadata);
/**
* Gets the names of all mapped classes known to this driver.
*
* @return list<class-string> The names of all mapped classes known to this driver.
*/
public function getAllClassNames();
/**
* Returns 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 class-string $className
*
* @return bool
*/
public function isTransient(string $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 ``FileDriver`` implementation for you to extend from:
.. code-block:: php
<?php
use Doctrine\Persistence\Mapping\ClassMetadata;
use Doctrine\Persistence\Mapping\Driver\FileDriver;
class MyMetadataDriver extends FileDriver
{
/**
* {@inheritDoc}
*/
protected $_fileExtension = '.dcm.ext';
/**
* {@inheritDoc}
*/
public function loadMetadataForClass($className, ClassMetadata $metadata)
{
$data = $this->_loadMappingFile($file);
// populate ClassMetadata instance from $data
}
/**
* {@inheritDoc}
*/
protected function _loadMappingFile($file)
{
// parse contents of $file and return php data structure
}
}
.. note::
When using the ``FileDriver`` 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 ORM 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.
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 generating database identifiers,
column or table names. This feature helps
reduce the verbosity of the mapping document, eliminating repetitive noise (eg: ``TABLE_``).
.. warning
The naming strategy is always overridden by entity mapping such as the `Table` attribute.
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 attribute 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.
.. code-block:: php
<?php
$namingStrategy = new \Doctrine\ORM\Mapping\UnderscoreNamingStrategy(CASE_UPPER);
$configuration->setNamingStrategy($namingStrategy);
For SomeEntityName the strategy will generate the table SOME_ENTITY_NAME with the
``CASE_UPPER`` option, or some_entity_name with the ``CASE_LOWER`` option.
Naming strategy interface
-------------------------
The interface ``Doctrine\ORM\Mapping\NamingStrategy`` allows you to specify
a naming strategy 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, $className = null);
/**
* 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, $referencedColumnName = null);
Implementing a naming strategy
-------------------------------
If you have database naming standards, like all table names should be prefixed
by the application prefix, all column names should be lower case, you can easily
achieve such standards by implementing a naming strategy.
You need to create a class which implements ``Doctrine\ORM\Mapping\NamingStrategy``.
.. code-block:: php
<?php
class MyAppNamingStrategy implements NamingStrategy
{
public function classToTableName($className)
{
return 'MyApp_' . substr($className, strrpos($className, '\\') + 1);
}
public function propertyToColumnName($propertyName)
{
return $propertyName;
}
public function referenceColumnName()
{
return 'id';
}
public function joinColumnName($propertyName, $className = null)
{
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()));
}
}

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Native SQL
==========
With ``NativeQuery`` you can execute native SELECT SQL statements
and map the results to Doctrine entities or any other result format
supported by Doctrine.
In order to make this mapping possible, you need to describe
to Doctrine what columns in the result map to which entity property.
This description is represented by a ``ResultSetMapping`` object.
With this feature you can map arbitrary SQL code to objects, such as highly
vendor-optimized SQL or stored-procedures.
Writing ``ResultSetMapping`` from scratch is complex, but there is a convenience
wrapper around it called a ``ResultSetMappingBuilder``. It can generate
the mappings for you based on Entities and even generates the ``SELECT``
clause based on this information for you.
.. 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 with the same API that ``Query`` has and execute it.
.. code-block:: php
<?php
use Doctrine\ORM\Query\ResultSetMapping;
$rsm = new ResultSetMapping();
// build rsm here
$query = $entityManager->createNativeQuery('SELECT id, name, discr FROM users WHERE name = ?', $rsm);
$query->setParameter(1, 'romanb');
$users = $query->getResult();
ResultSetMappingBuilder
-----------------------
An easy start into ResultSet mapping is the ``ResultSetMappingBuilder`` object.
This has several benefits:
- The builder takes care of automatically updating your ``ResultSetMapping``
when the fields or associations change on the metadata of an entity.
- You can generate the required ``SELECT`` expression for a builder
by converting it to a string.
- The API is much simpler than the usual ``ResultSetMapping`` API.
One downside is that the builder API does not yet support entities
with inheritance hierarchies.
.. 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');
$rsm->addJoinedEntityFromClassMetadata('MyProject\Address', 'a', 'u', 'address', array('id' => 'address_id'));
The builder extends the ``ResultSetMapping`` class and as such has all the functionality of it as well.
The ``SELECT`` clause can be generated
from a ``ResultSetMappingBuilder``. You can either cast the builder
object to ``(string)`` and the DQL aliases are used as SQL table aliases
or use the ``generateSelectClause($tableAliases)`` method and pass
a mapping from DQL alias (key) to SQL alias (value)
.. code-block:: php
<?php
$selectClause = $rsm->generateSelectClause(array(
'u' => 't1',
'g' => 't2'
));
$sql = "SELECT " . $selectClause . " FROM users t1 JOIN groups t2 ON t1.group_id = t2.id";
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 a 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 a 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.
Special case: DTOs
...................
You can also use ``ResultSetMapping`` to map the results of a native SQL
query to a DTO (Data Transfer Object). This is done by adding scalar
results for each argument of the DTO's constructor, then filling the
``newObjectMappings`` property of the ``ResultSetMapping`` with
information about where to map each scalar result:
.. code-block:: php
<?php
$rsm = new ResultSetMapping();
$rsm->addScalarResult('name', 1, 'string');
$rsm->addScalarResult('email', 2, 'string');
$rsm->addScalarResult('city', 3, 'string');
$rsm->newObjectMappings['name'] = [
'className' => CmsUserDTO::class,
'objIndex' => 0, // a result can contain many DTOs, this is the index of the DTO to map to
'argIndex' => 0, // each scalar result can be mapped to a different argument of the DTO constructor
];
$rsm->newObjectMappings['email'] = [
'className' => CmsUserDTO::class,
'objIndex' => 0,
'argIndex' => 1,
];
$rsm->newObjectMappings['city'] = [
'className' => CmsUserDTO::class,
'objIndex' => 0,
'argIndex' => 2,
];
Meta results
~~~~~~~~~~~~
A meta result describes a single column in a 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
* @param boolean $isIdentifierColumn
*/
public function addMetaResult($alias, $columnAlias, $columnName, $isIdentifierColumn = false)
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 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.
The fourth parameter should be set to true in case the primary key
of the entity is the foreign key you're adding.
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.
Named Native Query
------------------
.. note::
Named Native Queries are deprecated as of version 2.9 and will be removed in ORM 3.0
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 a 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 an 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;
/**
* @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;
/**
* @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;
/**
* @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;
/**
* @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

View File

@@ -1,98 +0,0 @@
Partial Objects
===============
.. note::
Creating Partial Objects through DQL is deprecated and
will be removed in the future, use data transfer object
support in DQL instead. (\ `Details
<https://github.com/doctrine/orm/issues/8471>`_)
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.

View File

@@ -1,327 +0,0 @@
PHP Mapping
===========
Doctrine ORM 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
---------
.. note::
PHPDriver is deprecated and will be removed in 3.0, use StaticPHPDriver
instead.
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',
'options' => array(
'fixed' => true,
'comment' => "User's login name"
)
));
$metadata->mapField(array(
'fieldName' => 'login_count',
'type' => 'integer',
'nullable' => false,
'options' => array(
'unsigned' => true,
'default' => 0
)
));
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 attributes or
annotations. For this you just need to use the ``StaticPHPDriver``:
.. code-block:: php
<?php
use Doctrine\Persistence\Mapping\Driver\StaticPHPDriver;
$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, $columnDefinition = null, $enumType = null, $options = [])``
- ``addDiscriminatorMapClass($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, $targetEntity)`` returns an ``OneToManyAssociationBuilder`` instance
ClassMetadata API
-----------------
The ``ClassMetadata`` class is the data object for storing the mapping
metadata for a single entity. It contains all the getters and setters
you need populate and retrieve information for an entity.
General Setters
~~~~~~~~~~~~~~~
- ``setTableName($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($bool)``
- ``setVersionField()``
General Getters
~~~~~~~~~~~~~~~
- ``getTableName()``
- ``getSchemaName()``
- ``getTemporaryIdTableName()``
Identifier Getters
~~~~~~~~~~~~~~~~~~
- ``getIdentifierColumnNames()``
- ``usesIdGenerator()``
- ``isIdentifier($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)``
Runtime reflection methods
~~~~~~~~~~~~~~~~~~~~~~~~~~
These are 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)``

View File

@@ -1,613 +0,0 @@
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, or just pick a preferred one.
.. note::
The ``QueryBuilder`` is not an abstraction of DQL, but merely a tool to dynamically build it.
You should still use plain DQL when you can, as it is simpler and more readable.
More about this in the :doc:`FAQ <faq>`.
Constructing a new QueryBuilder object
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The same way you build a normal Query, you build a ``QueryBuilder``
object. Here is an example of how to build a ``QueryBuilder``
object:
.. code-block:: php
<?php
// $em instanceof EntityManager
// example1: creating a QueryBuilder instance
$qb = $em->createQueryBuilder();
An instance of QueryBuilder has several informative methods. 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
^^^^^^^^^^^^^^^^^^^^^^
The most straightforward way to build a dynamic query with the ``QueryBuilder`` is by taking
advantage of 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
$qb->select('u')
->from('User', 'u')
->where('u.id = ?1')
->orderBy('u.name', 'ASC');
``QueryBuilder`` helper methods are considered the standard way to
use the ``QueryBuilder``. The ``$qb->expr()->*`` methods can help you
build conditional expressions dynamically. Here is a converted example 8 to
suggested way to build queries with dynamic conditions:
.. 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);
// addSelect does not override previous calls to select
//
// Example - $qb->select('u');
// ->addSelect('p.area_code');
public function addSelect($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')
// Example - $qb->from('Phonenumber', 'p', 'p.id')
public function from($from, $alias, $indexBy = null);
// Example - $qb->join('u.Group', 'g', Expr\Join::WITH, $qb->expr()->eq('u.status_id', '?1'))
// Example - $qb->join('u.Group', 'g', 'WITH', 'u.status = ?1')
// Example - $qb->join('u.Group', 'g', 'WITH', 'u.status = ?1', 'g.id')
public function join($join, $alias, $conditionType = null, $condition = null, $indexBy = 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')
// Example - $qb->innerJoin('u.Group', 'g', 'WITH', 'u.status = ?1', 'g.id')
public function innerJoin($join, $alias, $conditionType = null, $condition = null, $indexBy = 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')
// Example - $qb->leftJoin('u.Phonenumbers', 'p', 'WITH', 'p.area_code = 55', 'p.id')
public function leftJoin($join, $alias, $conditionType = null, $condition = null, $indexBy = 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);
// NOTE: ->andWhere() can be used directly, without any ->where() before
//
// 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 DBAL
``Doctrine\DBAL\ParameterType::*`` or a DBAL Type name for conversion.
.. note::
Even though passing DateTime instance is allowed, it impacts performance
as by default there is an attempt to load metadata for object, and if it's not found,
type is inferred from the original value.
.. code-block:: php
<?php
use Doctrine\DBAL\Types\Types;
// prevents attempt to load metadata for date time class, improving performance
$qb->setParameter('date', new \DateTimeImmutable(), Types::DATETIME_IMMUTABLE)
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
use Doctrine\Common\Collections\ArrayCollection;
use Doctrine\ORM\Query\Parameter;
// $qb instanceof QueryBuilder
// Query here...
$qb->setParameters(new ArrayCollection([
new Parameter('1', 'value for ?1'),
new Parameter('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();
$iterableResult = $query->toIterable();
$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.name ASC" 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
// Example - $qb->expr()->isMemberOf('?1', 'u.groups') => ?1 MEMBER OF u.groups
public function isMemberOf($x, $y); // Returns Expr\Comparison instance
// Example - $qb->expr()->isInstanceOf('u', Employee::class) => u INSTANCE OF Employee
public function isInstanceOf($x, $y); // Returns Expr\Comparison instance
/** 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()->notLike('u.firstname', $qb->expr()->literal('Gui%'))
public function notLike($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 - $qb->expr()->substring('u.firstname', 0, 1)
public function substring($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 - $qb->expr()->mod('u.currentBalance', '10')
public function mod($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
}
Adding a Criteria to a Query
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
You can also add a :ref:`filtering-collections` to a QueryBuilder by
using ``addCriteria``:
.. code-block:: php
<?php
use Doctrine\Common\Collections\Criteria;
// ...
$criteria = Criteria::create()
->orderBy(['firstName' => Criteria::ASC]);
// $qb instanceof QueryBuilder
$qb->addCriteria($criteria);
// then execute your query like normal
Low Level API
^^^^^^^^^^^^^
Now we will describe the low level 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'));

View File

@@ -1,776 +0,0 @@
The Second Level Cache
======================
.. note::
The second level cache functionality is marked as experimental for now. It
is a very complex feature and we cannot guarantee yet that it works stable
in all cases.
The Second Level Cache is designed to reduce the amount of necessary database access.
It sits between your application and the database to avoid the number of database hits as much as possible.
When turned on, entities will be first searched in cache and if they are not found,
a database query will be fired and then the entity result will be stored in a cache provider.
There are some flavors of caching available, but is better to cache read-only data.
Be aware that caches are not aware of changes made to the persistent store by another application.
They can, however, be configured to regularly expire cached data.
Caching Regions
---------------
Second level cache does not store instances of an entity, instead it caches only entity identifier and values.
Each entity class, collection association and query has its region, where values of each instance are stored.
Caching Regions are specific region into the cache provider that might store entities, collection or queries.
Each cache region resides in a specific cache namespace and has its own lifetime configuration.
Notice that when caching collection and queries only identifiers are stored.
The entity values will be stored in its own region
Something like below for an entity region:
.. code-block:: php
<?php
[
'region_name:entity_1_hash' => ['id' => 1, 'name' => 'FooBar', 'associationName' => null],
'region_name:entity_2_hash' => ['id' => 2, 'name' => 'Foo', 'associationName' => ['id' => 11]],
'region_name:entity_3_hash' => ['id' => 3, 'name' => 'Bar', 'associationName' => ['id' => 22]]
];
If the entity holds a collection that also needs to be cached.
An collection region could look something like:
.. code-block:: php
<?php
[
'region_name:entity_1_coll_assoc_name_hash' => ['ownerId' => 1, 'list' => [1, 2, 3]],
'region_name:entity_2_coll_assoc_name_hash' => ['ownerId' => 2, 'list' => [2, 3]],
'region_name:entity_3_coll_assoc_name_hash' => ['ownerId' => 3, 'list' => [2, 4]]
];
A query region might be something like:
.. code-block:: php
<?php
[
'region_name:query_1_hash' => ['list' => [1, 2, 3]],
'region_name:query_2_hash' => ['list' => [2, 3]],
'region_name:query_3_hash' => ['list' => [2, 4]]
];
.. note::
The following data structures represents now the cache will looks like, this is not actual cached data.
.. _reference-second-level-cache-regions:
Cache Regions
-------------
``Doctrine\ORM\Cache\Region\DefaultRegion`` is the default implementation.
A simplest cache region compatible with all doctrine-cache drivers but does not support locking.
``Doctrine\ORM\Cache\Region`` and ``Doctrine\ORM\Cache\ConcurrentRegion``
define contracts that should be implemented by a cache provider.
It allows you to provide your own cache implementation that might take advantage of specific cache driver.
If you want to support locking for ``READ_WRITE`` strategies you should implement ``ConcurrentRegion``; ``CacheRegion`` otherwise.
Cache region
~~~~~~~~~~~~
``Doctrine\ORM\Cache\Region`` defines a contract for accessing a particular
cache region.
Concurrent cache region
~~~~~~~~~~~~~~~~~~~~~~~
A ``Doctrine\ORM\Cache\ConcurrentRegion`` is designed to store concurrently managed data region.
By default, Doctrine provides a very simple implementation based on file locks ``Doctrine\ORM\Cache\Region\FileLockRegion``.
If you want to use an ``READ_WRITE`` cache, you should consider providing your own cache region.
``Doctrine\ORM\Cache\ConcurrentRegion`` defines a contract for concurrently managed data region.
Timestamp region
~~~~~~~~~~~~~~~~
``Doctrine\ORM\Cache\TimestampRegion``
Tracks the timestamps of the most recent updates to particular entity.
.. _reference-second-level-cache-mode:
Caching mode
------------
* ``READ_ONLY`` (DEFAULT)
* Can do reads, inserts and deletes, cannot perform updates or employ any locks.
* Useful for data that is read frequently but never updated.
* Best performer.
* It is Simple.
* ``NONSTRICT_READ_WRITE``
* Read Write Cache doesnt employ any locks but can do reads, inserts, updates and deletes.
* Good if the application needs to update data rarely.
* ``READ_WRITE``
* Read Write cache employs locks before update/delete.
* Use if data needs to be updated.
* Slowest strategy.
* To use it a the cache region implementation must support locking.
Built-in cached persisters
~~~~~~~~~~~~~~~~~~~~~~~~~~
Cached persisters are responsible to access cache regions.
+-----------------------+------------------------------------------------------------------------------------------+
| Cache Usage | Persister |
+=======================+==========================================================================================+
| READ_ONLY | ``Doctrine\ORM\Cache\Persister\Entity\ReadOnlyCachedEntityPersister`` |
+-----------------------+------------------------------------------------------------------------------------------+
| READ_WRITE | ``Doctrine\ORM\Cache\Persister\Entity\ReadWriteCachedEntityPersister`` |
+-----------------------+------------------------------------------------------------------------------------------+
| NONSTRICT_READ_WRITE | ``Doctrine\ORM\Cache\Persister\Entity\NonStrictReadWriteCachedEntityPersister`` |
+-----------------------+------------------------------------------------------------------------------------------+
| READ_ONLY | ``Doctrine\ORM\Cache\Persister\Collection\ReadOnlyCachedCollectionPersister`` |
+-----------------------+------------------------------------------------------------------------------------------+
| READ_WRITE | ``Doctrine\ORM\Cache\Persister\Collection\ReadWriteCachedCollectionPersister`` |
+-----------------------+------------------------------------------------------------------------------------------+
| NONSTRICT_READ_WRITE | ``Doctrine\ORM\Cache\Persister\Collection\NonStrictReadWriteCachedCollectionPersister`` |
+-----------------------+------------------------------------------------------------------------------------------+
Configuration
-------------
Doctrine allows you to specify configurations and some points of extension for the second-level-cache
Enable Second Level Cache
~~~~~~~~~~~~~~~~~~~~~~~~~
To enable the second-level-cache, you should provide a cache factory.
``Doctrine\ORM\Cache\DefaultCacheFactory`` is the default implementation.
.. code-block:: php
<?php
/** @var \Doctrine\ORM\Cache\RegionsConfiguration $cacheConfig */
/** @var \Psr\Cache\CacheItemPoolInterface $cache */
/** @var \Doctrine\ORM\Configuration $config */
$factory = new \Doctrine\ORM\Cache\DefaultCacheFactory($cacheConfig, $cache);
// Enable second-level-cache
$config->setSecondLevelCacheEnabled();
// Cache factory
$config->getSecondLevelCacheConfiguration()
->setCacheFactory($factory);
Cache Factory
~~~~~~~~~~~~~
Cache Factory is the main point of extension.
It allows you to provide a specific implementation of the following components:
``QueryCache``
stores and retrieves query cache results.
``CachedEntityPersister``
stores and retrieves entity results.
``CachedCollectionPersister``
stores and retrieves query results.
``EntityHydrator``
transforms entities into a cache entries and cache entries into entities
``CollectionHydrator``
transforms collections into cache entries and cache entries into collections
Region Lifetime
~~~~~~~~~~~~~~~
To specify a default lifetime for all regions or specify a different lifetime for a specific region.
.. code-block:: php
<?php
/** @var \Doctrine\ORM\Configuration $config */
/** @var \Doctrine\ORM\Cache\CacheConfiguration $cacheConfig */
/** @var \Doctrine\ORM\Cache\RegionsConfiguration $regionConfig */
$cacheConfig = $config->getSecondLevelCacheConfiguration();
$regionConfig = $cacheConfig->getRegionsConfiguration();
// Cache Region lifetime
$regionConfig->setLifetime('my_entity_region', 3600); // Time to live for a specific region (in seconds)
$regionConfig->setDefaultLifetime(7200); // Default time to live (in seconds)
Cache Log
~~~~~~~~~
By providing a cache logger you should be able to get information about all cache operations such as hits, misses and puts.
``Doctrine\ORM\Cache\Logging\StatisticsCacheLogger`` is a built-in implementation that provides basic statistics.
.. code-block:: php
<?php
/** @var \Doctrine\ORM\Configuration $config */
$logger = new \Doctrine\ORM\Cache\Logging\StatisticsCacheLogger();
// Cache logger
$config->setSecondLevelCacheEnabled(true);
$config->getSecondLevelCacheConfiguration()
->setCacheLogger($logger);
// Collect cache statistics
// Get the number of entries successfully retrieved from a specific region.
$logger->getRegionHitCount('my_entity_region');
// Get the number of cached entries *not* found in a specific region.
$logger->getRegionMissCount('my_entity_region');
// Get the number of cacheable entries put in cache.
$logger->getRegionPutCount('my_entity_region');
// Get the total number of put in all regions.
$logger->getPutCount();
// Get the total number of entries successfully retrieved from all regions.
$logger->getHitCount();
// Get the total number of cached entries *not* found in all regions.
$logger->getMissCount();
If you want to get more information you should implement
``Doctrine\ORM\Cache\Logging\CacheLogger`` and collect
all the information you want.
Entity cache definition
-----------------------
* Entity cache configuration allows you to define the caching strategy and region for an entity.
* ``usage`` specifies the caching strategy: ``READ_ONLY``,
``NONSTRICT_READ_WRITE``, ``READ_WRITE``.
See :ref:`reference-second-level-cache-mode`.
* ``region`` is an optional value that specifies the name of the second
level cache region.
.. configuration-block::
.. code-block:: attribute
<?php
#[Entity]
#[Cache(usage: 'READ_ONLY', region: 'my_entity_region')]
class Country
{
#[Id]
#[GeneratedValue]
#[Column]
protected int|null $id = null;
#[Column(unique: true)]
protected string $name;
// other properties and methods
}
.. code-block:: annotation
<?php
/**
* @Entity
* @Cache("NONSTRICT_READ_WRITE")
*/
class State
{
/**
* @Id
* @GeneratedValue
* @Column(type="integer")
*/
protected int|null $id = null;
/**
* @Column(unique=true)
*/
protected string $name;
// other properties and methods
}
.. code-block:: xml
<?xml version="1.0" encoding="utf-8"?>
<doctrine-mapping xmlns="http://doctrine-project.org/schemas/orm/doctrine-mapping"
xmlns:xsi="https://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://doctrine-project.org/schemas/orm/doctrine-mapping
https://www.doctrine-project.org/schemas/orm/doctrine-mapping.xsd">
<entity name="Country">
<cache usage="READ_ONLY" region="my_entity_region" />
<id name="id" type="integer" column="id">
<generator strategy="IDENTITY"/>
</id>
<field name="name" type="string" column="name"/>
</entity>
</doctrine-mapping>
.. code-block:: yaml
Country:
type: entity
cache:
usage: READ_ONLY
region: my_entity_region
id:
id:
type: integer
id: true
generator:
strategy: IDENTITY
fields:
name:
type: string
Association cache definition
----------------------------
The most common use case is to cache entities. But we can also cache relationships.
It caches the primary keys of association and cache each element will be cached into its region.
.. configuration-block::
.. code-block:: attribute
<?php
#[Entity]
#[Cache(usage: 'NONSTRICT_READ_WRITE')]
class State
{
#[Id]
#[GeneratedValue]
#[Column]
protected int|null $id = null;
#[Column(unique: true)]
protected string $name;
#[Cache(usage: 'NONSTRICT_READ_WRITE')]
#[ManyToOne(targetEntity: Country::class)]
#[JoinColumn(name: 'country_id', referencedColumnName: 'id')]
protected Country|null $country = null;
/** @var Collection<int, City> */
#[Cache(usage: 'NONSTRICT_READ_WRITE')]
#[OneToMany(targetEntity: City::class, mappedBy: 'state')]
protected Collection $cities;
// other properties and methods
}
.. code-block:: annotation
<?php
/**
* @Entity
* @Cache("NONSTRICT_READ_WRITE")
*/
class State
{
/**
* @Id
* @GeneratedValue
* @Column(type="integer")
*/
protected int|null $id = null;
/**
* @Column(unique=true)
*/
protected string $name;
/**
* @Cache("NONSTRICT_READ_WRITE")
* @ManyToOne(targetEntity="Country")
* @JoinColumn(name="country_id", referencedColumnName="id")
*/
protected Country|null $country;
/**
* @Cache("NONSTRICT_READ_WRITE")
* @OneToMany(targetEntity="City", mappedBy="state")
* @var Collection<int, City>
*/
protected Collection $cities;
// other properties and methods
}
.. code-block:: xml
<?xml version="1.0" encoding="utf-8"?>
<doctrine-mapping xmlns="http://doctrine-project.org/schemas/orm/doctrine-mapping"
xmlns:xsi="https://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://doctrine-project.org/schemas/orm/doctrine-mapping
https://www.doctrine-project.org/schemas/orm/doctrine-mapping.xsd">
<entity name="State">
<cache usage="NONSTRICT_READ_WRITE" />
<id name="id" type="integer" column="id">
<generator strategy="IDENTITY"/>
</id>
<field name="name" type="string" column="name"/>
<many-to-one field="country" target-entity="Country">
<cache usage="NONSTRICT_READ_WRITE" />
<join-columns>
<join-column name="country_id" referenced-column-name="id"/>
</join-columns>
</many-to-one>
<one-to-many field="cities" target-entity="City" mapped-by="state">
<cache usage="NONSTRICT_READ_WRITE"/>
</one-to-many>
</entity>
</doctrine-mapping>
.. code-block:: yaml
State:
type: entity
cache:
usage: NONSTRICT_READ_WRITE
id:
id:
type: integer
id: true
generator:
strategy: IDENTITY
fields:
name:
type: string
manyToOne:
state:
targetEntity: Country
joinColumns:
country_id:
referencedColumnName: id
cache:
usage: NONSTRICT_READ_WRITE
oneToMany:
cities:
targetEntity:City
mappedBy: state
cache:
usage: NONSTRICT_READ_WRITE
.. note::
for this to work, the target entity must also be marked as cacheable.
Cache usage
~~~~~~~~~~~
Basic entity cache
.. code-block:: php
<?php
$em->persist(new Country($name));
$em->flush(); // Hit database to insert the row and put into cache
$em->clear(); // Clear entity manager
$country1 = $em->find('Country', 1); // Retrieve item from cache
$country1->setName('New Name');
$em->flush(); // Hit database to update the row and update cache
$em->clear(); // Clear entity manager
$country2 = $em->find('Country', 1); // Retrieve item from cache
// Notice that $country1 and $country2 are not the same instance.
Association cache
.. code-block:: php
<?php
// Hit database to insert the row and put into cache
$em->persist(new State($name, $country));
$em->flush();
// Clear entity manager
$em->clear();
// Retrieve item from cache
$state = $em->find('State', 1);
// Hit database to update the row and update cache entry
$state->setName('New Name');
$em->persist($state);
$em->flush();
// Create a new collection item
$city = new City($name, $state);
$state->addCity($city);
// Hit database to insert new collection item,
// put entity and collection cache into cache.
$em->persist($city);
$em->persist($state);
$em->flush();
// Clear entity manager
$em->clear();
// Retrieve item from cache
$state = $em->find('State', 1);
// Retrieve association from cache
$country = $state->getCountry();
// Retrieve collection from cache
$cities = $state->getCities();
echo $country->getName();
echo $state->getName();
// Retrieve each collection item from cache
foreach ($cities as $city) {
echo $city->getName();
}
.. note::
Notice that all entities should be marked as cacheable.
Using the query cache
---------------------
The second level cache stores the entities, associations and collections.
The query cache stores the results of the query but as identifiers, entity values are actually stored in the 2nd level cache.
.. note::
Query cache should always be used in conjunction with the second-level-cache for those entities which should be cached.
.. code-block:: php
<?php
/** @var \Doctrine\ORM\EntityManager $em */
// Execute database query, store query cache and entity cache
$result1 = $em->createQuery('SELECT c FROM Country c ORDER BY c.name')
->setCacheable(true)
->getResult();
$em->clear();
// Check if query result is valid and load entities from cache
$result2 = $em->createQuery('SELECT c FROM Country c ORDER BY c.name')
->setCacheable(true)
->getResult();
Cache mode
~~~~~~~~~~
The Cache Mode controls how a particular query interacts with the second-level cache:
* ``Cache::MODE_GET`` - May read items from the cache, but will not add items.
* ``Cache::MODE_PUT`` - Will never read items from the cache, but will add items to the cache as it reads them from the database.
* ``Cache::MODE_NORMAL`` - May read items from the cache, and add items to the cache.
* ``Cache::MODE_REFRESH`` - The query will never read items from the cache, but will refresh items to the cache as it reads them from the database.
.. code-block:: php
<?php
/** @var \Doctrine\ORM\EntityManager $em */
// Will refresh the query cache and all entities the cache as it reads from the database.
$result1 = $em->createQuery('SELECT c FROM Country c ORDER BY c.name')
->setCacheMode(\Doctrine\ORM\Cache::MODE_GET)
->setCacheable(true)
->getResult();
.. note::
The default query cache mode is ```Cache::MODE_NORMAL```
DELETE / UPDATE queries
~~~~~~~~~~~~~~~~~~~~~~~
DQL UPDATE / DELETE statements are ported directly into a database and bypass
the second-level cache.
Entities that are already cached will NOT be invalidated.
However the cached data could be evicted using the cache API or an special query hint.
Execute the ``UPDATE`` and invalidate ``all cache entries`` using ``Query::HINT_CACHE_EVICT``
.. code-block:: php
<?php
// Execute and invalidate
$this->_em->createQuery("UPDATE Entity\Country u SET u.name = 'unknown' WHERE u.id = 1")
->setHint(\Doctrine\ORM\Query::HINT_CACHE_EVICT, true)
->execute();
Execute the ``UPDATE`` and invalidate ``all cache entries`` using the cache API
.. code-block:: php
<?php
// Execute
$this->_em->createQuery("UPDATE Entity\Country u SET u.name = 'unknown' WHERE u.id = 1")
->execute();
// Invoke Cache API
$em->getCache()->evictEntityRegion('Entity\Country');
Execute the ``UPDATE`` and invalidate ``a specific cache entry`` using the cache API
.. code-block:: php
<?php
// Execute
$this->_em->createQuery("UPDATE Entity\Country u SET u.name = 'unknown' WHERE u.id = 1")
->execute();
// Invoke Cache API
$em->getCache()->evictEntity('Entity\Country', 1);
Using the repository query cache
--------------------------------
As well as ``Query Cache`` all persister queries store only identifier values for an individual query.
All persisters use a single timestamp cache region to keep track of the last update for each persister,
When a query is loaded from cache, the timestamp region is checked for the last update for that persister.
Using the last update timestamps as part of the query key invalidate the cache key when an update occurs.
.. code-block:: php
<?php
// load from database and store cache query key hashing the query + parameters + last timestamp cache region..
$entities = $em->getRepository('Entity\Country')->findAll();
// load from query and entities from cache..
$entities = $em->getRepository('Entity\Country')->findAll();
// update the timestamp cache region for Country
$em->persist(new Country('zombieland'));
$em->flush();
$em->clear();
// Reload from database.
// At this point the query cache key is no longer valid, the select goes straight to the database
$entities = $em->getRepository('Entity\Country')->findAll();
Cache API
---------
Caches are not aware of changes made by another application.
However, you can use the cache API to check / invalidate cache entries.
.. code-block:: php
<?php
/** @var \Doctrine\ORM\Cache $cache */
$cache = $em->getCache();
$cache->containsEntity('Entity\State', 1) // Check if the cache exists
$cache->evictEntity('Entity\State', 1); // Remove an entity from cache
$cache->evictEntityRegion('Entity\State'); // Remove all entities from cache
$cache->containsCollection('Entity\State', 'cities', 1); // Check if the cache exists
$cache->evictCollection('Entity\State', 'cities', 1); // Remove an entity collection from cache
$cache->evictCollectionRegion('Entity\State', 'cities'); // Remove all collections from cache
Limitations
-----------
Composite primary key
~~~~~~~~~~~~~~~~~~~~~
Composite primary key are supported by second level cache,
however when one of the keys is an association the cached entity should always be retrieved using the association identifier.
For performance reasons the cache API does not extract from composite primary key.
.. code-block:: php
<?php
#[Entity]
class Reference
{
#[Id]
#[ManyToOne(targetEntity: Article::class, inversedBy: 'references')]
#[JoinColumn(name: 'source_id', referencedColumnName: 'article_id')]
private Article|null $source = null;
#[Id]
#[ManyToOne(targetEntity: Article::class, inversedBy: 'references')]
#[JoinColumn(name: 'target_id', referencedColumnName: 'article_id')]
private $target;
}
// Supported
/** @var Article $article */
$article = $em->find('Article', 1);
// Supported
/** @var Article $article */
$article = $em->find('Article', $article);
// Supported
$id = ['source' => 1, 'target' => 2];
$reference = $em->find('Reference', $id);
// NOT Supported
$id = ['source' => new Article(1), 'target' => new Article(2)];
$reference = $em->find('Reference', $id);
Distributed environments
~~~~~~~~~~~~~~~~~~~~~~~~
Some cache driver are not meant to be used in a distributed environment.
Load-balancer for distributing workloads across multiple computing resources
should be used in conjunction with distributed caching system such as memcached, redis, riak ...
Caches should be used with care when using a load-balancer if you don't share the cache.
While using APC or any file based cache update occurred in a specific machine would not reflect to the cache in other machines.
Paginator
~~~~~~~~~
Count queries generated by ``Doctrine\ORM\Tools\Pagination\Paginator`` are not cached by second-level cache.
Although entities and query result are cached, count queries will hit the
database every time.

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Security
========
The Doctrine library is operating very close to your database and as such needs
to handle and make assumptions about SQL injection vulnerabilities.
It is vital that you understand how Doctrine approaches security, because
we cannot protect you from SQL injection.
Please also read the documentation chapter on Security in Doctrine DBAL. This
page only handles Security issues in the ORM.
- `DBAL Security Page <https://www.doctrine-project.org/projects/doctrine-dbal/en/current/reference/security.html>`
If you find a Security bug in Doctrine, please follow our
`Security reporting guidelines <https://www.doctrine-project.org/policies/security.html#reporting>`_.
User input and Doctrine ORM
---------------------------
The ORM is much better at protecting against SQL injection than the DBAL alone.
You can consider the following APIs to be safe from SQL injection:
- ``\Doctrine\ORM\EntityManager#find()`` and ``getReference()``.
- All values on Objects inserted and updated through ``Doctrine\ORM\EntityManager#persist()``
- All find methods on ``Doctrine\ORM\EntityRepository``.
- User Input set to DQL Queries or QueryBuilder methods through
- ``setParameter()`` or variants
- ``setMaxResults()``
- ``setFirstResult()``
- Queries through the Criteria API on ``Doctrine\ORM\PersistentCollection`` and
``Doctrine\ORM\EntityRepository``.
You are **NOT** safe from SQL injection when using user input with:
- Expression API of ``Doctrine\ORM\QueryBuilder``
- Concatenating user input into DQL SELECT, UPDATE or DELETE statements or
Native SQL.
This means SQL injections can only occur with Doctrine ORM when working with
Query Objects of any kind. The safe rule is to always use prepared statement
parameters for user objects when using a Query object.
.. warning::
Insecure code follows, don't copy paste this.
The following example shows insecure DQL usage:
.. code-block:: php
<?php
// INSECURE
$dql = "SELECT u
FROM MyProject\Entity\User u
WHERE u.status = '" . $_GET['status'] . "'
ORDER BY " . $_GET['orderField'] . " ASC";
For Doctrine there is absolutely no way to find out which parts of ``$dql`` are
from user input and which are not, even if we have our own parsing process
this is technically impossible. The correct way is:
.. code-block:: php
<?php
$orderFieldWhitelist = array('email', 'username');
$orderField = "email";
if (in_array($_GET['orderField'], $orderFieldWhitelist)) {
$orderField = $_GET['orderField'];
}
$dql = "SELECT u
FROM MyProject\Entity\User u
WHERE u.status = ?1
ORDER BY u." . $orderField . " ASC";
$query = $entityManager->createQuery($dql);
$query->setParameter(1, $_GET['status']);
Preventing Mass Assignment Vulnerabilities
------------------------------------------
ORMs are very convenient for CRUD applications and Doctrine is no exception.
However CRUD apps are often vulnerable to mass assignment security problems
when implemented naively.
Doctrine is not vulnerable to this problem out of the box, but you can easily
make your entities vulnerable to mass assignment when you add methods of
the kind ``updateFromArray()`` or ``updateFromJson()`` to them. A vulnerable
entity might look like this:
.. code-block:: php
<?php
#[Entity]
class InsecureEntity
{
#[Id, Column, GeneratedValue]
private int|null $id = null;
#[Column]
private string $email;
#[Column]
private bool $isAdmin;
/** @param array<string, mixed> $userInput */
public function fromArray(array $userInput): void
{
foreach ($userInput as $key => $value) {
$this->$key = $value;
}
}
}
Now the possiblity of mass-assignment exists on this entity and can
be exploited by attackers to set the "isAdmin" flag to true on any
object when you pass the whole request data to this method like:
.. code-block:: php
<?php
$entity = new InsecureEntity();
$entity->fromArray($_POST);
$entityManager->persist($entity);
$entityManager->flush();
You can spot this problem in this very simple example easily. However
in combination with frameworks and form libraries it might not be
so obvious when this issue arises. Be careful to avoid this
kind of mistake.
How to fix this problem? You should always have a whitelist
of allowed key to set via mass assignment functions.
.. code-block:: php
public function fromArray(array $userInput, $allowedFields = array())
{
foreach ($userInput as $key => $value) {
if (in_array($key, $allowedFields)) {
$this->$key = $value;
}
}
}

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@@ -1,497 +0,0 @@
Tools
=====
Doctrine Console
----------------
The Doctrine Console is a Command Line Interface tool for simplifying common
administration tasks during the development of a project that uses ORM.
For the following examples, we will set up the CLI as ``bin/doctrine``.
Setting Up the Console
~~~~~~~~~~~~~~~~~~~~~~
Whenever the ``doctrine`` command line tool is invoked, it can
access all Commands that were registered by a 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``. You have to inject it into the console application.
Here is an example of a the project-specific ``bin/doctrine`` binary.
.. code-block:: php
#!/usr/bin/env php
<?php
use Doctrine\ORM\Tools\Console\ConsoleRunner;
use Doctrine\ORM\Tools\Console\EntityManagerProvider\SingleManagerProvider;
// replace with path to your own project bootstrap file
require_once 'bootstrap.php';
// replace with mechanism to retrieve EntityManager in your app
$entityManager = GetEntityManager();
$commands = [
// If you want to add your own custom console commands,
// you can do so here.
];
ConsoleRunner::run(
new SingleManagerProvider($entityManager),
$commands
);
.. 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.
Display Help Information
~~~~~~~~~~~~~~~~~~~~~~~~
Type ``php bin/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:
::
$> php bin/doctrine orm:generate-entities --help
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.
For these commands are also available aliases:
- ``orm:convert:d1-schema`` is alias for ``orm:convert-d1-schema``.
- ``orm:convert:mapping`` is alias for ``orm:convert-mapping``.
- ``orm:generate:entities`` is alias for ``orm:generate-entities``.
- ``orm:generate:proxies`` is alias for ``orm:generate-proxies``.
- ``orm:generate:repositories`` is alias for ``orm:generate-repositories``.
.. note::
Console also supports auto completion, for example, instead of
``orm:clear-cache:query`` you can use just ``o:c:q``.
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 ``ClassMetadata`` 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 ``ClassMetadata``
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 bin/doctrine orm:schema-tool:create
To drop the schema use the ``drop`` command:
.. code-block:: php
$ php bin/doctrine orm:schema-tool:drop
If you want to drop and then recreate the schema then use both
options:
.. code-block:: php
$ php bin/doctrine orm:schema-tool:drop
$ php bin/doctrine orm:schema-tool:create
As you would think, if you want to update your schema use the
``update`` command:
.. code-block:: php
$ php bin/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 bin/doctrine orm:schema-tool:create --dump-sql
Entity Generation
-----------------
Generate entity classes and method stubs from your mapping information.
.. code-block:: php
$ php bin/doctrine orm:generate-entities
$ php bin/doctrine orm:generate-entities --update-entities
$ php bin/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 bin/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 ``ClassMetadata`` 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 \Doctrine\ORM\Tools\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
$cme = new \Doctrine\ORM\Tools\Export\ClassMetadataExporter();
$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 bin/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 ORM 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
If the validation fails, you can change the verbosity level to
check the detected errors:
doctrine orm:validate-schema -v
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 console script.
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\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(),
));
Re-use console application
--------------------------
You are also able to retrieve and re-use the default console application.
Just call ``ConsoleRunner::createApplication(...)`` with an appropriate
HelperSet, like it is described in the configuration section.
.. code-block:: php
<?php
// Retrieve default console application
$cli = ConsoleRunner::createApplication($helperSet);
// Runs console application
$cli->run();

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@@ -1,435 +0,0 @@
Transactions and Concurrency
============================
.. _transactions-and-concurrency_transaction-demarcation:
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 ORM 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 ORM 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.
.. _transactions-and-concurrency_approach-implicitly:
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.
.. _transactions-and-concurrency_approach-explicitly:
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();
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#wrapInTransaction($func)``.
When used, these control abstractions ensure that you never forget to rollback
the transaction, in addition to the obvious code reduction. An example that is
functionally equivalent to the previously shown code looks as follows:
.. code-block:: php
<?php
// transactional with Connection instance
// $conn instanceof Connection
$conn->transactional(function($conn) {
// ... do some work
$user = new User;
$user->setName('George');
});
// transactional with EntityManager instance
// $em instanceof EntityManager
$em->wrapInTransaction(function($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 in case of an exception the ``EntityManager`` gets closed
in addition to the transaction rollback.
.. _transactions-and-concurrency_exception-handling:
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``.
.. _transactions-and-concurrency_locking-support:
Locking Support
---------------
Doctrine ORM 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.
.. _transactions-and-concurrency_optimistic-locking:
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.
.. configuration-block::
.. code-block:: attribute
<?php
class User
{
// ...
#[Version, Column(type: 'integer')]
private int $version;
// ...
}
.. code-block:: annotation
<?php
class User
{
// ...
/** @Version @Column(type="integer") */
private int $version;
// ...
}
.. code-block:: xml
<doctrine-mapping>
<entity name="User">
<field name="version" type="integer" version="true" />
</entity>
</doctrine-mapping>
.. code-block:: yaml
User:
type: entity
fields:
version:
type: integer
version: true
Alternatively a datetime type can be used (which maps to a SQL
timestamp or datetime):
.. configuration-block::
.. code-block:: attribute
<?php
class User
{
// ...
#[Version, Column(type: 'datetime')]
private DateTime $version;
// ...
}
.. code-block:: annotation
<?php
class User
{
// ...
/** @Version @Column(type="datetime") */
private DateTime $version;
// ...
}
.. code-block:: xml
<doctrine-mapping>
<entity name="User">
<field name="version" type="datetime" version="true" />
</entity>
</doctrine-mapping>
.. code-block:: yaml
User:
type: entity
fields:
version:
type: datetime
version: true
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, $postVersion);
.. _transactions-and-concurrency_pessimistic-locking:
Pessimistic Locking
~~~~~~~~~~~~~~~~~~~
Doctrine ORM supports Pessimistic Locking at the database level. No
attempt is being made to implement pessimistic locking inside
Doctrine, rather vendor-specific and ANSI-SQL commands are used to
acquire row-level locks. Every Entity can be part of a pessimistic
lock, there is no special metadata required to use this feature.
However for Pessimistic Locking to work you have to disable the
Auto-Commit Mode of your Database and start a transaction around
your pessimistic lock use-case using the "Approach 2: Explicit
Transaction Demarcation" described above. Doctrine ORM will throw an
Exception if you attempt to acquire an pessimistic lock and no
transaction is running.
Doctrine ORM currently supports two pessimistic lock modes:
- Pessimistic Write
(``Doctrine\DBAL\LockMode::PESSIMISTIC_WRITE``), locks the
underlying database rows for concurrent Read and Write Operations.
- Pessimistic Read (``Doctrine\DBAL\LockMode::PESSIMISTIC_READ``),
locks other concurrent requests that attempt to update or lock rows
in write mode.
You can use pessimistic locks in four different scenarios:
1. Using
``EntityManager#find($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($entity, \Doctrine\DBAL\LockMode::PESSIMISTIC_READ)``
3. Using
``EntityManager#refresh($entity, \Doctrine\DBAL\LockMode::PESSIMISTIC_WRITE)``
or
``EntityManager#refresh($entity, \Doctrine\DBAL\LockMode::PESSIMISTIC_READ)``
4. Using
``Query#setLockMode(\Doctrine\DBAL\LockMode::PESSIMISTIC_WRITE)``
or
``Query#setLockMode(\Doctrine\DBAL\LockMode::PESSIMISTIC_READ)``

View File

@@ -1,179 +0,0 @@
Implementing a TypedFieldMapper
===============================
.. versionadded:: 2.14
You can specify custom typed field mapping between PHP type and DBAL type using ``Doctrine\ORM\Configuration``
and a custom ``Doctrine\ORM\Mapping\TypedFieldMapper`` implementation.
.. code-block:: php
<?php
$configuration->setTypedFieldMapper(new CustomTypedFieldMapper());
DefaultTypedFieldMapper
-----------------------
By default the ``Doctrine\ORM\Mapping\DefaultTypedFieldMapper`` is used, and you can pass an array of
PHP type => DBAL type mappings into its constructor to override the default behavior or add new mappings.
.. code-block:: php
<?php
use App\CustomIds\CustomIdObject;
use App\DBAL\Type\CustomIdObjectType;
use Doctrine\ORM\Mapping\DefaultTypedFieldMapper;
$configuration->setTypedFieldMapper(new DefaultTypedFieldMapper([
CustomIdObject::class => CustomIdObjectType::class,
]));
Then, an entity using the ``CustomIdObject`` typed field will be correctly assigned its DBAL type
(``CustomIdObjectType``) without the need of explicit declaration.
.. configuration-block::
.. code-block:: attribute
<?php
#[ORM\Entity]
#[ORM\Table(name: 'cms_users_typed_with_custom_typed_field')]
class UserTypedWithCustomTypedField
{
#[ORM\Column]
public CustomIdObject $customId;
// ...
}
.. code-block:: annotation
<?php
/**
* @Entity
* @Table(name="cms_users_typed_with_custom_typed_field")
*/
class UserTypedWithCustomTypedField
{
/** @Column */
public CustomIdObject $customId;
// ...
}
.. code-block:: xml
<doctrine-mapping>
<entity name="UserTypedWithCustomTypedField">
<field name="customId"/>
<!-- -->
</entity>
</doctrine-mapping>
.. code-block:: yaml
UserTypedWithCustomTypedField:
type: entity
fields:
customId: ~
It is perfectly valid to override even the "automatic" mapping rules mentioned above:
.. code-block:: php
<?php
use App\DBAL\Type\CustomIntType;
use Doctrine\ORM\Mapping\DefaultTypedFieldMapper;
$configuration->setTypedFieldMapper(new DefaultTypedFieldMapper([
'int' => CustomIntType::class,
]));
.. note::
If chained, once the first ``TypedFieldMapper`` assigns a type to a field, the ``DefaultTypedFieldMapper`` will
ignore its mapping and not override it anymore (if it is later in the chain). See below for chaining type mappers.
TypedFieldMapper interface
-------------------------
The interface ``Doctrine\ORM\Mapping\TypedFieldMapper`` allows you to implement your own
typed field mapping logic. It consists of just one function
.. code-block:: php
<?php
/**
* Validates & completes the given field mapping based on typed property.
*
* @param array{fieldName: string, enumType?: string, type?: mixed} $mapping The field mapping to validate & complete.
* @param \ReflectionProperty $field
*
* @return array{fieldName: string, enumType?: string, type?: mixed} The updated mapping.
*/
public function validateAndComplete(array $mapping, ReflectionProperty $field): array;
ChainTypedFieldMapper
---------------------
The class ``Doctrine\ORM\Mapping\ChainTypedFieldMapper`` allows you to chain multiple ``TypedFieldMapper`` instances.
When being evaluated, the ``TypedFieldMapper::validateAndComplete`` is called in the order in which
the instances were supplied to the ``ChainTypedFieldMapper`` constructor.
.. code-block:: php
<?php
use App\DBAL\Type\CustomIntType;
use Doctrine\ORM\Mapping\ChainTypedFieldMapper;
use Doctrine\ORM\Mapping\DefaultTypedFieldMapper;
$configuration->setTypedFieldMapper(
new ChainTypedFieldMapper(
new DefaultTypedFieldMapper(['int' => CustomIntType::class,]),
new CustomTypedFieldMapper()
)
);
Implementing a TypedFieldMapper
-------------------------------
If you want to assign all ``BackedEnum`` fields to your custom ``BackedEnumDBALType`` or you want to use different
DBAL types based on whether the entity field is nullable or not, you can achieve this by implementing your own
typed field mapper.
You need to create a class which implements ``Doctrine\ORM\Mapping\TypedFieldMapper``.
.. code-block:: php
<?php
final class CustomEnumTypedFieldMapper implements TypedFieldMapper
{
/**
* {@inheritDoc}
*/
public function validateAndComplete(array $mapping, ReflectionProperty $field): array
{
$type = $field->getType();
if (
! isset($mapping['type'])
&& ($type instanceof ReflectionNamedType)
) {
if (! $type->isBuiltin() && enum_exists($type->getName())) {
$mapping['type'] = BackedEnumDBALType::class;
}
}
return $mapping;
}
}
.. note::
Note that this case checks whether the mapping is already assigned, and if yes, it skips it. This is up to your
implementation. You can make a "greedy" mapper which will always override the mapping with its own type, or one
that behaves like the ``DefaultTypedFieldMapper`` and does not modify the type once its set prior in the chain.

View File

@@ -1,60 +0,0 @@
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 have 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 have 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 their 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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@@ -1,204 +0,0 @@
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(): void
{
$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(): void
{
$objectA = $this->entityManager->getReference('EntityName', 1);
// check entity is not initialized
$this->assertTrue($this->entityManager->isUninitializedObject($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");
$entityManager->flush();
How Doctrine Detects Changes
----------------------------
Doctrine is a data-mapper that tries to achieve persistence-ignorance (PI).
This means you map PHP objects into a relational database that don't
necessarily know about the database at all. A natural question would now be,
"how does Doctrine even detect objects have changed?".
For this Doctrine keeps a second map inside the UnitOfWork. Whenever you fetch
an object from the database Doctrine will keep a copy of all the properties and
associations inside the UnitOfWork. Because variables in the PHP language are
subject to "copy-on-write" the memory usage of a PHP request that only reads
objects from the database is the same as if Doctrine did not keep this variable
copy. Only if you start changing variables PHP will create new variables internally
that consume new memory.
Now whenever you call ``EntityManager#flush`` Doctrine will iterate over the
Identity Map and for each object compares the original property and association
values with the values that are currently set on the object. If changes are
detected then the object is queued for a SQL UPDATE operation. Only the fields
that actually changed are updated.
This process has an obvious performance impact. The larger the size of the
UnitOfWork is, the longer this computation takes. There are several ways to
optimize the performance of the Flush Operation:
- Mark entities as read only. These entities can only be inserted or removed,
but are never updated. They are omitted in the changeset calculation.
- Temporarily mark entities as read only. If you have a very large UnitOfWork
but know that a large set of entities has not changed, just mark them as read
only with ``$entityManager->getUnitOfWork()->markReadOnly($entity)``.
- Flush only a single entity with ``$entityManager->flush($entity)``.
- Use :doc:`Change Tracking Policies <change-tracking-policies>` to use more
explicit strategies of notifying the UnitOfWork what objects/properties
changed.
.. note::
Flush only a single entity with ``$entityManager->flush($entity)`` is deprecated and will be removed in ORM 3.0.
(\ `Details <https://github.com/doctrine/orm/issues/8459>`_)
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 they
wish 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 the most complex parts of Doctrine
algorithm-wise. It can build 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

View File

@@ -1,741 +0,0 @@
Working with Associations
=========================
Associations between entities are represented just like in regular
object-oriented PHP code using references to other objects or
collections of objects.
Changes to associations in your code are not synchronized to the
database directly, only when calling ``EntityManager#flush()``.
There are other concepts you should know about when working
with associations in Doctrine:
- 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.
- When a bidirectional association is updated, Doctrine only checks
on one of both sides for these changes. This is called the :doc:`owning side <unitofwork-associations>`
of the association.
- A property with a reference to many entities has to be instances of the
``Doctrine\Common\Collections\Collection`` interface.
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]
private int|null $id = null;
/**
* Bidirectional - Many users have Many favorite comments (OWNING SIDE)
*
* @var Collection<int, Comment>
*/
#[ManyToMany(targetEntity: Comment::class, inversedBy: 'userFavorites')]
#[JoinTable(name: 'user_favorite_comments')]
private Collection $favorites;
/**
* Unidirectional - Many users have marked many comments as read
*
* @var Collection<int, Comment>
*/
#[ManyToMany(targetEntity: Comment::class)]
#[JoinTable(name: 'user_read_comments')]
private Collection $commentsRead;
/**
* Bidirectional - One-To-Many (INVERSE SIDE)
*
* @var Collection<int, Comment>
*/
#[OneToMany(targetEntity: Comment::class, mappedBy: 'author')]
private Collection $commentsAuthored;
/** Unidirectional - Many-To-One */
#[ManyToOne(targetEntity: Comment::class)]
private Comment|null $firstComment = null;
}
#[Entity]
class Comment
{
#[Id, GeneratedValue, Column]
private string $id;
/**
* Bidirectional - Many comments are favorited by many users (INVERSE SIDE)
*
* @var Collection<int, User>
*/
#[ManyToMany(targetEntity: User::class, mappedBy: 'favorites')]
private Collection $userFavorites;
/**
* Bidirectional - Many Comments are authored by one user (OWNING SIDE)
*/
#[ManyToOne(targetEntity: User::class, inversedBy: 'commentsAuthored')]
private User|null $author = null;
}
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
{
// ...
/** @return Collection<int, Comment> */
public function getReadComments(): Collection {
return $this->commentsRead;
}
public function setFirstComment(Comment $c): void {
$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
{
// ..
/** @return Collection<int, Comment> */
public function getAuthoredComments(): Collection {
return $this->commentsAuthored;
}
/** @return Collection<int, Comment> */
public function getFavoriteComments(): Collection {
return $this->favorites;
}
}
class Comment
{
// ...
/** @return Collection<int, User> */
public function getUserFavorites(): Collection {
return $this->userFavorites;
}
public function setAuthor(User|null $author = null): void {
$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, you will
have to specify a nullable type, i.e. ``setAddress(?Address $address)``,
otherwise ``setAddress(null)`` will fail to remove the association.
Another way to deal with this is to provide a special method, like
``removeAddress()``. This can also provide better encapsulation as
it hides the internal meaning of not having an address.
When working with collections, keep in mind that a Collection is
essentially an ordered map (just like a PHP array). That is why the
``remove`` operation accepts an index/key. ``removeElement`` is a
separate method that has O(n) complexity using ``array_search``,
where n is the size of the map.
.. note::
Since Doctrine always only looks at the owning side of a
bidirectional association for updates, it is not necessary for
write operations that an inverse collection of a bidirectional
one-to-many or many-to-many association is updated. This knowledge
can often be used to improve performance by avoiding the loading of
the inverse collection.
You can also clear the contents of a whole collection using the
``Collections::clear()`` method. You should be aware that using
this method can lead to a straight and optimized database delete or
update call during the flush operation that is not aware of
entities that have been re-added to the collection.
Say you clear a collection of tags by calling
``$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): void {
// Collections implement ArrayAccess
$this->commentsRead[] = $comment;
}
public function addComment(Comment $comment): void {
if (count($this->commentsAuthored) == 0) {
$this->setFirstComment($comment);
}
$this->comments[] = $comment;
$comment->setAuthor($this);
}
private function setFirstComment(Comment $c): void {
$this->firstComment = $c;
}
public function addFavorite(Comment $comment): void {
$this->favorites->add($comment);
$comment->addUserFavorite($this);
}
public function removeFavorite(Comment $comment): void {
$this->favorites->removeElement($comment);
$comment->removeUserFavorite($this);
}
}
class Comment
{
// ..
public function addUserFavorite(User $user): void {
$this->userFavorites[] = $user;
}
public function removeUserFavorite(User $user): void {
$this->userFavorites->removeElement($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 {
/** @return array<int, Comment> */
public function getReadComments(): array {
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:
Transitive persistence / Cascade Operations
-------------------------------------------
Doctrine ORM provides a mechanism for transitive persistence through cascading of certain operations.
Each association to another entity or a collection of
entities can be configured to automatically cascade the following operations to the associated entities:
``persist``, ``remove``, ``merge``, ``detach``, ``refresh`` or ``all``.
The main use case for ``cascade: persist`` is to avoid "exposing" associated entities to your PHP application.
Continuing with the User-Comment example of this chapter, this is how the creation of a new user and a new
comment might look like in your controller (without ``cascade: persist``):
.. code-block:: php
<?php
$user = new User();
$myFirstComment = new Comment();
$user->addComment($myFirstComment);
$em->persist($user);
$em->persist($myFirstComment); // required, if `cascade: persist` is not set
$em->flush();
Note that the Comment entity is instantiated right here in the controller.
To avoid this, ``cascade: persist`` allows you to "hide" the Comment entity from the controller,
only accessing it through the User entity:
.. code-block:: php
<?php
// User entity
class User
{
private int $id;
/** @var Collection<int, Comment> */
private Collection $comments;
public function __construct()
{
$this->id = User::new();
$this->comments = new ArrayCollection();
}
public function comment(string $text, DateTimeInterface $time) : void
{
$newComment = Comment::create($text, $time);
$newComment->setUser($this);
$this->comments->add($newComment);
}
// ...
}
If you then set up the cascading to the ``User#commentsAuthored`` property...
.. code-block:: php
<?php
class User
{
// ...
/** Bidirectional - One-To-Many (INVERSE SIDE) */
#[OneToMany(targetEntity: Comment::class, mappedBy: 'author', cascade: ['persist', 'remove'])]
private $commentsAuthored;
// ...
}
...you can now create a user and an associated comment like this:
.. code-block:: php
<?php
$user = new User();
$user->comment('Lorem ipsum', new DateTime());
$em->persist($user);
$em->flush();
.. note::
The idea of ``cascade: persist`` is not to save you any lines of code in the controller.
If you instantiate the comment object in the controller (i.e. don't set up the user entity as shown above),
even with ``cascade: persist`` you still have to call ``$myFirstComment->setUser($user);``.
Thanks to ``cascade: remove``, you can easily delete a user and all linked comments without having to loop through them:
.. code-block:: php
<?php
$user = $em->find('User', $deleteUserId);
$em->remove($user);
$em->flush();
.. note::
Cascade operations are performed in memory. That means collections and related entities
are fetched into memory (even if they are marked as lazy) when
the cascade operation is about to be performed. This approach allows
entity lifecycle events to be performed for each of these operations.
However, pulling object graphs into memory on cascade can cause considerable performance
overhead, especially when the cascaded collections are large. Make 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 :doc:`the onDelete option <working-with-objects>`.
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:
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.
.. note::
``orphanRemoval=true`` option should be used in combination with ``cascade=["persist"]`` option
as the child entity, that is manually persisted, will not be deleted automatically by Doctrine
when a collection is still an instance of ArrayCollection (before first flush / hydration).
This is a Doctrine limitation since ArrayCollection does not have access to a UnitOfWork.
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 int|null $id = null;
#[OneToOne(targetEntity: StandingData::class, cascade: ['persist'], orphanRemoval: true)]
private StandingData|null $standingData = null;
/** @var Collection<int, Address> */
#[OneToMany(targetEntity: Address::class, mappedBy: 'contact', cascade: ['persist'], orphanRemoval: true)]
private Collection $addresses;
public function __construct()
{
$this->addresses = new ArrayCollection();
}
public function newStandingData(StandingData $sd): void
{
$this->standingData = $sd;
}
public function removeAddress(int $pos): void
{
unset($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" => Criteria::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 getWhereExpression();
public function getFirstResult();
public function getMaxResults();
}
You can build expressions through the ExpressionBuilder. It has the following
methods:
* ``andX($arg1, $arg2, ...)``
* ``orX($arg1, $arg2, ...)``
* ``not($expression)``
* ``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 $values)``
* ``contains($field, $value)``
* ``memberOf($value, $field)``
* ``startsWith($field, $value)``
* ``endsWith($field, $value)``
.. note::
There is a limitation on the compatibility of Criteria comparisons.
You have to use scalar values only as the value in a comparison or
the behaviour between different backends is not the same.

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@@ -1,903 +0,0 @@
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.
.. note::
Doctrine NEVER touches the public API of methods in your entity
classes (like getters and setters) nor the constructor method.
Instead, it uses reflection to get/set data from/to your entity objects.
When Doctrine fetches data from DB and saves it back,
any code put in your get/set methods won't be implicitly taken into account.
Entities and the Identity Map
-----------------------------
Entities are objects with identity. Their identity has a conceptual
meaning inside your domain. In a CMS application each article has a
unique id. You can uniquely identify each article by that id.
Take the following example, where you find an article with the
headline "Hello World" with the ID 1234:
.. code-block:: php
<?php
$article = $entityManager->find('CMS\Article', 1234);
$article->setHeadline('Hello World dude!');
$article2 = $entityManager->find('CMS\Article', 1234);
echo $article2->getHeadline();
In this case the Article is accessed from the entity manager twice,
but modified in between. Doctrine ORM realizes this and will only
ever give you access to one instance of the Article with ID 1234,
no matter how often do you retrieve it from the EntityManager and
even no matter what kind of Query method you are using (find,
Repository Finder or DQL). This is called "Identity Map" pattern,
which means Doctrine keeps a map of each entity and ids that have
been retrieved per PHP request and keeps returning you the same
instances.
In the previous example the echo prints "Hello World dude!" to the
screen. You can even verify that ``$article`` and ``$article2`` are
indeed pointing to the same instance by running the following
code:
.. code-block:: php
<?php
if ($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 int|null $id = null;
#[Column(type: 'string')]
private string $headline;
#[ManyToOne(targetEntity: User::class)]
private User|null $author = null;
/** @var Collection<int, Comment> */
#[OneToMany(targetEntity: Comment::class, mappedBy: 'article')]
private Collection $comments;
public function __construct()
{
$this->comments = new ArrayCollection();
}
public function getAuthor(): User|null { return $this->author; }
public function getComments(): Collection { return $this->comments; }
}
$article = $em->find('Article', 1);
This code only retrieves the ``Article`` instance with id 1 executing
a single SELECT statement against the articles table in the database.
You can still access the associated properties author and comments
and the associated objects they contain.
This works by utilizing the lazy loading pattern. Instead of
passing you back a real Author instance and a collection of
comments Doctrine will create proxy instances for you. Only if you
access these proxies for the first time they will go through the
EntityManager and load their state from the database.
This lazy-loading process happens behind the scenes, hidden from
your code. See the following code:
.. 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 ($article->getComments() instanceof \Doctrine\Common\Collections\Collection) {
echo "This will always be true!";
}
.. warning::
Traversing the object graph for parts that are lazy-loaded will
easily trigger lots of SQL queries and will perform badly if used
to heavily. Make sure to use DQL to fetch-join all the parts of the
object-graph that you need as efficiently as possible.
Persisting entities
-------------------
An entity can be made persistent by passing it to the
``EntityManager#persist($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.
.. note::
Do not make any assumptions in your code about the number of queries
it takes to flush changes, about the ordering of ``INSERT``, ``UPDATE``
and ``DELETE`` queries or the order in which entities will be processed.
Example:
.. code-block:: php
<?php
$user = new User;
$user->setName('Mr.Right');
$em->persist($user);
$em->flush();
.. note::
Generated entity identifiers / primary keys are
guaranteed to be available after the next successful flush
operation that involves the entity in question. You can not rely on
a generated identifier to be available directly after invoking
``persist``. The inverse is also true. You can not rely on a
generated identifier being not available after a failed flush
operation.
The semantics of the persist operation, applied on an entity X, are
as follows:
- If X is a new entity, it becomes managed. The entity X will be
entered into the database as a result of the flush operation.
- If X is a preexisting managed entity, it is ignored by the
persist operation. However, the persist operation is cascaded to
entities referenced by X, if the relationships from X to these
other entities are mapped with cascade=PERSIST or cascade=ALL (see
":ref:`transitive-persistence`").
- If X is a removed entity, it becomes managed.
- If X is a detached entity, an exception will be thrown on
flush.
.. caution::
Do not pass detached entities to the persist operation. The persist operation always
considers entities that are not yet known to the ``EntityManager`` as new entities
(refer to the ``STATE_NEW`` constant inside the ``UnitOfWork``).
Removing entities
-----------------
An entity can be removed from persistent storage by passing it to
the ``EntityManager#remove($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 ":ref:`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
":ref:`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.
During the ``EntityManager#flush()`` operation, the removed entity
will also be removed from all collections in entities currently
loaded into memory.
.. _remove_object_many_to_many_join_tables:
Join-table management when removing from many-to-many collections
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Regarding existing rows in many-to-many join tables that refer to
an entity being removed, the following applies.
When the entity being removed does not declare the many-to-many association
itself (that is, the many-to-many association is unidirectional and
the entity is on the inverse side), the ORM has no reasonable way to
detect associations targeting the entity's class. Thus, no ORM-level handling
of join-table rows is attempted and database-level constraints apply.
In case of database-level ``ON DELETE RESTRICT`` constraints, the
``EntityManager#flush()`` operation may abort and a ``ConstraintViolationException``
may be thrown. No in-memory collections will be modified in this case.
With ``ON DELETE CASCADE``, the RDBMS will take care of removing rows
from join tables.
When the entity being removed is part of bi-directional many-to-many
association, either as the owning or inverse side, the ORM will
delete rows from join tables before removing the entity itself. That means
database-level ``ON DELETE RESTRICT`` constraints on join tables are not
effective, since the join table rows are removed first. Removal of join table
rows happens through specialized methods in entity and collection persister
classes and take one query per entity and join table. In case the association
uses a ``@JoinColumn`` configuration with ``onDelete="CASCADE"``, instead
of using a dedicated ``DELETE`` query the database-level operation will be
relied upon.
.. note::
In case you rely on database-level ``ON DELETE RESTRICT`` constraints,
be aware that by making many-to-many associations bidirectional the
assumed protection may be lost.
Performance of different deletion strategies
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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 ORM will
fetch this association. If it's 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.
.. note::
Calling ``remove`` on an entity will remove the object from the identity
map and therefore detach it. Querying the same entity again, for example
via a lazy loaded relation, will return a new object.
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
":ref:`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
":ref:`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).
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.
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 ":ref:`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($entity)) {
case UnitOfWork::STATE_MANAGED:
...
case UnitOfWork::STATE_REMOVED:
...
case UnitOfWork::STATE_DETACHED:
...
case UnitOfWork::STATE_NEW:
...
}
An entity is in MANAGED state if it is associated with an
``EntityManager`` and it is not REMOVED.
An entity is in REMOVED state after it has been passed to
``EntityManager#remove()`` until the next flush operation of the
same EntityManager. A REMOVED entity is still associated with an
``EntityManager`` until the next flush operation.
An entity is in DETACHED state if it has persistent state and
identity but is currently not associated with an
``EntityManager``.
An entity is in NEW state if has no persistent state and identity
and is not associated with an ``EntityManager`` (for example those
just created via the "new" operator).
Querying
--------
Doctrine ORM provides the following ways, in increasing level of
power and flexibility, to query for persistent objects. You should
always start with the simplest one that suits your needs.
By Primary Key
~~~~~~~~~~~~~~
The most basic way to query for a persistent object is by its
identifier / primary key using the
``EntityManager#find($entityName, $id)`` method. Here is an
example:
.. 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()));
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');
Additionally, you can just count the result of the provided conditions when you don't really need the data:
.. code-block:: php
<?php
// Check there is no user with nickname
$availableNickname = 0 === $em->getRepository('MyProject\Domain\User')->count(['nickname' => 'nonexistent']);
By Criteria
~~~~~~~~~~~
The Repository implement the ``Doctrine\Common\Collections\Selectable``
interface. That means you can build ``Doctrine\Common\Collections\Criteria``
and pass them to the ``matching($criteria)`` method.
See section `Filtering collections` of chapter :doc:`Working with Associations <working-with-associations>`
By Eager Loading
~~~~~~~~~~~~~~~~
Whenever you query for an entity that has persistent associations
and these associations are mapped as EAGER, they will automatically
be loaded together with the entity being queried and is thus
immediately available to your application.
Eager Loading can also be configured at runtime through
``AbstractQuery::setFetchMode`` in DQL or Native Queries.
Eager loading for many-to-one and one-to-one associations is using either a
LEFT JOIN or a second query for fetching the related entity eagerly.
Eager loading for many-to-one associations uses a second query to load
the collections for several entities at the same time.
When many-to-many, one-to-one or one-to-many associations are eagerly loaded,
then the global batch size configuration is used to avoid IN(?) queries with
too many arguments. The default batch size is 100 and can be changed with
``Configuration::setEagerFetchBatchSize()``.
For eagerly loaded Many-To-Many associations one query has to be made for each
collection.
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 = $q->getResult();
Note that this query contains no knowledge about the relational
schema, only about the object model. DQL supports positional as
well as named parameters, many functions, (fetch) joins,
aggregates, subqueries and much more. Detailed information about
DQL and its syntax as well as the Doctrine class can be found in
:doc:`the dedicated chapter <dql-doctrine-query-language>`.
For programmatically building up queries based on conditions that
are only known at runtime, Doctrine provides the special
``Doctrine\ORM\QueryBuilder`` class. While this a powerful tool,
it also brings more complexity to your code compared to plain DQL,
so you should only use it when you need it. More information on
constructing queries with a QueryBuilder can be found
:doc:`in Query Builder chapter <query-builder>`.
By Native Queries
~~~~~~~~~~~~~~~~~
As an alternative to DQL or as a fallback for special SQL
statements native queries can be used. Native queries are built by
using a hand-crafted SQL query and a ResultSetMapping that
describes how the SQL result set should be transformed by Doctrine.
More information about native queries can be found in
:doc:`the dedicated chapter <native-sql>`.
Custom Repositories
~~~~~~~~~~~~~~~~~~~
By default the EntityManager returns a default implementation of
``Doctrine\ORM\EntityRepository`` when you call
``EntityManager#getRepository($entityClass)``. You can overwrite
this behaviour by specifying the class name of your own Entity
Repository in the Attribute, Annotation, XML or YAML metadata. In large
applications that require lots of specialized DQL queries using a
custom repository is one recommended way of grouping these queries
in a central location.
.. code-block:: php
<?php
namespace MyDomain\Model;
use MyDomain\Model\UserRepository;
use Doctrine\ORM\EntityRepository;
use Doctrine\ORM\Mapping as ORM;
#[ORM\Entity(repositoryClass: UserRepository::class)]
class User
{
}
class UserRepository extends EntityRepository
{
/** @return Collection<User> */
public function getAllAdminUsers(): Collection
{
return $this->_em->createQuery('SELECT u FROM MyDomain\Model\User u WHERE u.status = "admin"')
->getResult();
}
}
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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@@ -1,786 +0,0 @@
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
`https://www.doctrine-project.org/schemas/orm/doctrine-mapping.xsd <https://www.doctrine-project.org/schemas/orm/doctrine-mapping.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="https://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://doctrine-project.org/schemas/orm/doctrine-mapping
https://www.doctrine-project.org/schemas/orm/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);
.. warning::
Note that Doctrine ORM does not modify any settings for ``libxml``,
therefore, external XML entities may or may not be enabled or
configured correctly.
XML mappings are not XXE/XEE attack vectors since they are not
related with user input, but it is recommended that you do not
use external XML entities in your mapping files to avoid running
into unexpected behaviour.
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(
'/path/to/files1' => 'MyProject\Entities',
'/path/to/files2' => 'OtherProject\Entities'
);
$driver = new \Doctrine\ORM\Mapping\Driver\SimplifiedXmlDriver($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="https://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://doctrine-project.org/schemas/orm/doctrine-mapping
https://www.doctrine-project.org/schemas/orm/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" schema="schema_name" 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** - 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.
- **schema** - The schema the table lies in, for platforms that support schemas
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" />
<field name="login_count" type="integer" nullable="false">
<options>
<option name="comment">The number of times the user has logged in.</option>
<option name="default">0</option>
</options>
</field>
</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.
- insertable - Should this field be inserted? Defaults to true.
- updatable - Should this field be updated? Defaults to true.
- generated - Enum of the values ALWAYS, INSERT, NEVER that determines if
generated value must be fetched from database after INSERT or UPDATE.
Defaults to "NEVER".
- 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.
- options - Array of additional options:
- default - The default value to set for the column if no value
is supplied.
- unsigned - Boolean value to determine if the column should
be capable of representing only non-negative integers
(applies only for integer column and might not be supported by
all vendors).
- fixed - Boolean value to determine if the specified length of
a string column should be fixed or varying (applies only for
string/binary column and might not be supported by all vendors).
- comment - The comment of the column in the schema (might not
be supported by all vendors).
- customSchemaOptions - Array of additional schema options
which are mostly vendor specific.
- 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.
.. note::
For more detailed information on each attribute, please refer to
the DBAL ``Schema-Representation`` documentation.
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 ORM. 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
``NONE`` 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 ``NONE`` 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 />``
- ``<cascade-detach />``
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="https://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://doctrine-project.org/schemas/orm/doctrine-mapping
https://www.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>

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@@ -1,158 +0,0 @@
YAML Mapping
============
.. warning::
The YAML driver is deprecated and will be removed in version 3.0.
It is strongly recommended to switch to one of the other mappings.
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:
- File Extension is .orm.yml
- Filenames are shortened, "MyProject\\Entities\\User" will become User.orm.yml
- 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
repositoryClass: Doctrine\Tests\ORM\Mapping\UserRepository
table: cms_users
schema: schema_name # The schema the table lies in, for platforms that support schemas (Optional, >= 2.5)
readOnly: true
indexes:
name_index:
columns: [ name ]
id:
id:
type: integer
generator:
strategy: AUTO
fields:
name:
type: string
length: 50
email:
type: string
length: 32
column: user_email
unique: true
options:
fixed: true
comment: User's email address
loginCount:
type: integer
column: login_count
nullable: false
options:
unsigned: true
default: 0
oneToOne:
address:
targetEntity: Address
joinColumn:
name: address_id
referencedColumnName: id
onDelete: CASCADE
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.
Reference
~~~~~~~~~~~~~~~~~~~~~~
Unique Constraints
------------------
It is possible to define unique constraints by the following declaration:
.. code-block:: yaml
# ECommerceProduct.orm.yml
ECommerceProduct:
type: entity
fields:
# definition of some fields
uniqueConstraints:
search_idx:
columns: [ name, email ]

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