Merge pull request #6572 from bitwombat/doc_changes
Add additional detail and clarifications on SELECT
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@ -49,10 +49,6 @@ SELECT queries
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DQL SELECT clause
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~~~~~~~~~~~~~~~~~
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The select clause of a DQL query specifies what appears in the
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query result. The composition of all the expressions in the select
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clause also influences the nature of the query result.
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Here is an example that selects all users with an age > 20:
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.. code-block:: php
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@ -83,14 +79,58 @@ Lets examine the query:
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The result of this query would be a list of User objects where all
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users are older than 20.
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The SELECT clause allows to specify both class identification
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variables that signal the hydration of a complete entity class or
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just fields of the entity using the syntax ``u.name``. Combinations
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of both are also allowed and it is possible to wrap both fields and
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identification values into aggregation and DQL functions. Numerical
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fields can be part of computations using mathematical operations.
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See the sub-section on `Functions, Operators, Aggregates`_ for
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more information.
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Result format
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~~~~~~~~~~~~~
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The composition of the expressions in the SELECT clause also
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influences the nature of the query result. There are three
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cases:
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**All objects**
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.. code-block:: sql
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SELECT u, p, n FROM Users u...
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In this case, the result will be an array of User objects because of
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the FROM clause, with children ``p`` and ``n`` hydrated because of
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their inclusion in the SELECT clause.
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**All scalars**
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.. code-block:: sql
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SELECT u.name, u.address FROM Users u...
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In this case, the result will be an array of arrays. In the example
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above, each element of the result array would be an array of the
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scalar name and address values.
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You can select scalars from any entity in the query.
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**Mixed**
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.. code-block:: sql
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``SELECT u, p.quantity FROM Users u...``
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Here, the result will again be an array of arrays, with each element
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being an array made up of a User object and the scalar value
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``p.quantity``.
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Multiple FROM clauses are allowed, which would cause the result
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array elements to cycle through the classes included in the
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multiple FROM clauses.
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.. note::
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You cannot select other entities unless you also select the
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root of the selection (which is the first entity in FROM).
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For example, ``SELECT p,n FROM Users u...`` would be wrong because
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``u`` is not part of the SELECT
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Doctrine throws an exception if you violate this constraint.
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Joins
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~~~~~
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@ -319,7 +359,8 @@ article-ids:
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$query = $em->createQuery('SELECT u.id, a.id as article_id FROM CmsUser u LEFT JOIN u.articles a');
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$results = $query->getResult(); // array of user ids and every article_id for each user
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Restricting a JOIN clause by additional conditions:
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Restricting a JOIN clause by additional conditions specified by
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WITH:
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.. code-block:: php
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@ -452,6 +493,18 @@ Joins between entities without associations were not possible until version
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<?php
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$query = $em->createQuery('SELECT u FROM User u JOIN Blacklist b WITH u.email = b.email');
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.. note::
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The differences between WHERE, WITH and HAVING clauses may be
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confusing.
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- WHERE is applied to the results of an entire query
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- WITH is applied to a join as an additional condition. For
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arbitrary joins (SELECT f, b FROM Foo f, Bar b WITH f.id = b.id)
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the WITH is required, even if it is 1 = 1
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- HAVING is applied to the results of a query after
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aggregation (GROUP BY)
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Partial Object Syntax
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^^^^^^^^^^^^^^^^^^^^^
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@ -607,6 +660,9 @@ The same restrictions apply for the reference of related entities.
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Functions, Operators, Aggregates
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--------------------------------
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It is possible to wrap both fields and identification values into
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aggregation and DQL functions. Numerical fields can be part of
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computations using mathematical operations.
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DQL Functions
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~~~~~~~~~~~~~
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@ -1381,11 +1437,11 @@ Given that there are 10 users and corresponding addresses in the database the ex
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.. note::
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Changing the fetch mode during a query mostly makes sense for one-to-one and many-to-one relations. In that case,
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all the necessary IDs are available after the root entity (``user`` in the above example) has been loaded. So, one
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query per association can be executed to fetch all the referred-to entities (``address``).
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all the necessary IDs are available after the root entity (``user`` in the above example) has been loaded. So, one
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query per association can be executed to fetch all the referred-to entities (``address``).
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For one-to-many relations, changing the fetch mode to eager will cause to execute one query **for every root entity
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loaded**. This gives no improvement over the ``lazy`` fetch mode which will also initialize the associations on
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loaded**. This gives no improvement over the ``lazy`` fetch mode which will also initialize the associations on
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a one-by-one basis once they are accessed.
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