hibernate-orm/reference/en/modules/query_hql.xml

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<chapter id="queryhql">
<title>HQL: The Hibernate Query Language</title>
<para>
Hibernate is equiped with an extremely powerful query language that (quite intentionally)
looks very much like SQL. But don't be fooled by the syntax; HQL is fully object-oriented,
understanding notions like inheritence, polymorphism and association.
</para>
<sect1 id="queryhql-casesensitivity">
<title>Case Sensitivity</title>
<para>
Queries are case-insensitive, except for names of Java classes and properties.
So <literal>SeLeCT</literal> is the same as
<literal>sELEct</literal> is the same as
<literal>SELECT</literal> but
<literal>org.hibernate.eg.FOO</literal> is not
<literal>org.hibernate.eg.Foo</literal> and
<literal>foo.barSet</literal> is not
<literal>foo.BARSET</literal>.
</para>
<para>
This manual uses lowercase HQL keywords. Some users find queries with uppercase keywords
more readable, but we find this convention ugly when embedded in Java code.
</para>
</sect1>
<sect1 id="queryhql-from">
<title>The from clause</title>
<para>
The simplest possible Hibernate query is of the form:
</para>
<programlisting><![CDATA[from eg.Cat]]></programlisting>
<para>
which simply returns all instances of the class <literal>eg.Cat</literal>.
We don't usually need to qualify the class name, since <literal>auto-import</literal>
is the default. So we almost always just write:
</para>
<programlisting><![CDATA[from Cat]]></programlisting>
<para>
Most of the time, you will need to assign an <emphasis>alias</emphasis>, since
you will want to refer to the <literal>Cat</literal> in other parts of the
query.
</para>
<programlisting><![CDATA[from Cat as cat]]></programlisting>
<para>
This query assigns the alias <literal>cat</literal> to <literal>Cat</literal>
instances, so we could use that alias later in the query. The <literal>as</literal>
keyword is optional; we could also write:
</para>
<programlisting><![CDATA[from Cat cat]]></programlisting>
<para>
Multiple classes may appear, resulting in a cartesian product or "cross" join.
</para>
<programlisting><![CDATA[from Formula, Parameter]]></programlisting>
<programlisting><![CDATA[from Formula as form, Parameter as param]]></programlisting>
<para>
It is considered good practice to name query aliases using an initial lowercase,
consistent with Java naming standards for local variables
(eg. <literal>domesticCat</literal>).
</para>
</sect1>
<sect1 id="queryhql-joins" revision="1">
<title>Associations and joins</title>
<para>
We may also assign aliases to associated entities, or even to elements of a
collection of values, using a <literal>join</literal>.
</para>
<programlisting><![CDATA[from Cat as cat
inner join cat.mate as mate
left outer join cat.kittens as kitten]]></programlisting>
<programlisting><![CDATA[from Cat as cat left join cat.mate.kittens as kittens]]></programlisting>
<programlisting><![CDATA[from Formula form full join form.parameter param]]></programlisting>
<para>
The supported join types are borrowed from ANSI SQL
</para>
<itemizedlist spacing="compact">
<listitem>
<para>
<literal>inner join</literal>
</para>
</listitem>
<listitem>
<para>
<literal>left outer join</literal>
</para>
</listitem>
<listitem>
<para>
<literal>right outer join</literal>
</para>
</listitem>
<listitem>
<para>
<literal>full join</literal> (not usually useful)
</para>
</listitem>
</itemizedlist>
<para>
The <literal>inner join</literal>, <literal>left outer join</literal> and
<literal>right outer join</literal> constructs may be abbreviated.
</para>
<programlisting><![CDATA[from Cat as cat
join cat.mate as mate
left join cat.kittens as kitten]]></programlisting>
<para>
You may supply extra join conditions using the HQL <literal>with</literal>
keyword.
</para>
<programlisting><![CDATA[from Cat as cat
left join cat.kittens as kitten
with kitten.bodyWeight > 10.0]]></programlisting>
<para>
In addition, a "fetch" join allows associations or collections of values to be
initialized along with their parent objects, using a single select. This is particularly
useful in the case of a collection. It effectively overrides the outer join and
lazy declarations of the mapping file for associations and collections. See
<xref linkend="performance-fetching"/> for more information.
</para>
<programlisting><![CDATA[from Cat as cat
inner join fetch cat.mate
left join fetch cat.kittens]]></programlisting>
<para>
A fetch join does not usually need to assign an alias, because the associated objects
should not be used in the <literal>where</literal> clause (or any other clause). Also,
the associated objects are not returned directly in the query results. Instead, they may
be accessed via the parent object. The only reason we might need an alias is if we are
recursively join fetching a further collection:
</para>
<programlisting><![CDATA[from Cat as cat
inner join fetch cat.mate
left join fetch cat.kittens child
left join fetch child.kittens]]></programlisting>
<para>
Note that the <literal>fetch</literal> construct may not be used in queries called using
<literal>scroll()</literal> or <literal>iterate()</literal>. Nor should <literal>fetch</literal>
be used together with <literal>setMaxResults()</literal> or <literal>setFirstResult()</literal>.
Nor may <literal>fetch</literal> be used together with an ad hoc <literal>with</literal> condition.
It is possible to create a cartesian product by join fetching more than one collection in a
query, so take care in this case. Join fetching multiple collection roles also sometimes gives
unexpected results for bag mappings, so be careful about how you formulate your queries in this
case. Finally, note that <literal>full join fetch</literal> and <literal>right join fetch</literal>
are not meaningful.
</para>
<para>
If you are using property-level lazy fetching (with bytecode instrumentation), it is
possible to force Hibernate to fetch the lazy properties immediately (in the first
query) using <literal>fetch all properties</literal>.
</para>
<programlisting><![CDATA[from Document fetch all properties order by name]]></programlisting>
<programlisting><![CDATA[from Document doc fetch all properties where lower(doc.name) like '%cats%']]></programlisting>
</sect1>
<sect1 id="queryhql-select">
<title>The select clause</title>
<para>
The <literal>select</literal> clause picks which objects and properties to return in
the query result set. Consider:
</para>
<programlisting><![CDATA[select mate
from Cat as cat
inner join cat.mate as mate]]></programlisting>
<para>
The query will select <literal>mate</literal>s of other <literal>Cat</literal>s.
Actually, you may express this query more compactly as:
</para>
<programlisting><![CDATA[select cat.mate from Cat cat]]></programlisting>
<para>
Queries may return properties of any value type including properties of component type:
</para>
<programlisting><![CDATA[select cat.name from DomesticCat cat
where cat.name like 'fri%']]></programlisting>
<programlisting><![CDATA[select cust.name.firstName from Customer as cust]]></programlisting>
<para>
Queries may return multiple objects and/or properties as an array of type
<literal>Object[]</literal>,
</para>
<programlisting><![CDATA[select mother, offspr, mate.name
from DomesticCat as mother
inner join mother.mate as mate
left outer join mother.kittens as offspr]]></programlisting>
<para>
or as a <literal>List</literal>,
</para>
<programlisting><![CDATA[select new list(mother, offspr, mate.name)
from DomesticCat as mother
inner join mother.mate as mate
left outer join mother.kittens as offspr]]></programlisting>
<para>
or as an actual typesafe Java object,
</para>
<programlisting><![CDATA[select new Family(mother, mate, offspr)
from DomesticCat as mother
join mother.mate as mate
left join mother.kittens as offspr]]></programlisting>
<para>
assuming that the class <literal>Family</literal> has an appropriate constructor.
</para>
<para>
You may assign aliases to selected expressions using <literal>as</literal>:
</para>
<programlisting><![CDATA[select max(bodyWeight) as max, min(bodyWeight) as min, count(*) as n
from Cat cat]]></programlisting>
<para>
This is most useful when used together with <literal>select new map</literal>:
</para>
<programlisting><![CDATA[select new map( max(bodyWeight) as max, min(bodyWeight) as min, count(*) as n )
from Cat cat]]></programlisting>
<para>
This query returns a <literal>Map</literal> from aliases to selected values.
</para>
</sect1>
<sect1 id="queryhql-aggregation">
<title>Aggregate functions</title>
<para>
HQL queries may even return the results of aggregate functions on properties:
</para>
<programlisting><![CDATA[select avg(cat.weight), sum(cat.weight), max(cat.weight), count(cat)
from Cat cat]]></programlisting>
<!-- NO LONGER SUPPORTED
<para>
Collections may also appear inside aggregate functions in the <literal>select</literal>
clause.
</para>
<programlisting><![CDATA[select cat, count( elements(cat.kittens) )
from Cat cat group by cat]]></programlisting>
-->
<para>
The supported aggregate functions are
</para>
<itemizedlist spacing="compact">
<listitem>
<para>
<literal>avg(...), sum(...), min(...), max(...)</literal>
</para>
</listitem>
<listitem>
<para>
<literal>count(*)</literal>
</para>
</listitem>
<listitem>
<para>
<literal>count(...), count(distinct ...), count(all...)</literal>
</para>
</listitem>
</itemizedlist>
<para>
You may use arithmetic operators, concatenation, and recognized SQL functions
in the select clause:
</para>
<programlisting><![CDATA[select cat.weight + sum(kitten.weight)
from Cat cat
join cat.kittens kitten
group by cat.id, cat.weight]]></programlisting>
<programlisting><![CDATA[select firstName||' '||initial||' '||upper(lastName) from Person]]></programlisting>
<para>
The <literal>distinct</literal> and <literal>all</literal> keywords may be used and
have the same semantics as in SQL.
</para>
<programlisting><![CDATA[select distinct cat.name from Cat cat
select count(distinct cat.name), count(cat) from Cat cat]]></programlisting>
</sect1>
<sect1 id="queryhql-polymorphism">
<title>Polymorphic queries</title>
<para>
A query like:
</para>
<programlisting><![CDATA[from Cat as cat]]></programlisting>
<para>
returns instances not only of <literal>Cat</literal>, but also of subclasses like
<literal>DomesticCat</literal>. Hibernate queries may name <emphasis>any</emphasis> Java
class or interface in the <literal>from</literal> clause. The query will return instances
of all persistent classes that extend that class or implement the interface. The following
query would return all persistent objects:
</para>
<programlisting><![CDATA[from java.lang.Object o]]></programlisting>
<para>
The interface <literal>Named</literal> might be implemented by various persistent
classes:
</para>
<programlisting><![CDATA[from Named n, Named m where n.name = m.name]]></programlisting>
<para>
Note that these last two queries will require more than one SQL <literal>SELECT</literal>. This
means that the <literal>order by</literal> clause does not correctly order the whole result set.
(It also means you can't call these queries using <literal>Query.scroll()</literal>.)
</para>
</sect1>
<sect1 id="queryhql-where">
<title>The where clause</title>
<para>
The <literal>where</literal> clause allows you to narrow the list of instances returned.
If no alias exists, you may refer to properties by name:
</para>
<programlisting><![CDATA[from Cat where name='Fritz']]></programlisting>
<para>
If there is an alias, use a qualified property name:
</para>
<programlisting><![CDATA[from Cat as cat where cat.name='Fritz']]></programlisting>
<para>
returns instances of <literal>Cat</literal> named 'Fritz'.
</para>
<programlisting><![CDATA[select foo
from Foo foo, Bar bar
where foo.startDate = bar.date]]></programlisting>
<para>
will return all instances of <literal>Foo</literal> for which
there exists an instance of <literal>bar</literal> with a
<literal>date</literal> property equal to the
<literal>startDate</literal> property of the
<literal>Foo</literal>. Compound path expressions make the
<literal>where</literal> clause extremely powerful. Consider:
</para>
<programlisting><![CDATA[from Cat cat where cat.mate.name is not null]]></programlisting>
<para>
This query translates to an SQL query with a table (inner) join. If you were to write
something like
</para>
<programlisting><![CDATA[from Foo foo
where foo.bar.baz.customer.address.city is not null]]></programlisting>
<para>
you would end up with a query that would require four table joins in SQL.
</para>
<para>
The <literal>=</literal> operator may be used to compare not only properties, but also
instances:
</para>
<programlisting><![CDATA[from Cat cat, Cat rival where cat.mate = rival.mate]]></programlisting>
<programlisting><![CDATA[select cat, mate
from Cat cat, Cat mate
where cat.mate = mate]]></programlisting>
<para>
The special property (lowercase) <literal>id</literal> may be used to reference the
unique identifier of an object. (You may also use its property name.)
</para>
<programlisting><![CDATA[from Cat as cat where cat.id = 123
from Cat as cat where cat.mate.id = 69]]></programlisting>
<para>
The second query is efficient. No table join is required!
</para>
<para>
Properties of composite identifiers may also be used. Suppose <literal>Person</literal>
has a composite identifier consisting of <literal>country</literal> and
<literal>medicareNumber</literal>.
</para>
<programlisting><![CDATA[from bank.Person person
where person.id.country = 'AU'
and person.id.medicareNumber = 123456]]></programlisting>
<programlisting><![CDATA[from bank.Account account
where account.owner.id.country = 'AU'
and account.owner.id.medicareNumber = 123456]]></programlisting>
<para>
Once again, the second query requires no table join.
</para>
<para>
Likewise, the special property <literal>class</literal> accesses the discriminator value
of an instance in the case of polymorphic persistence. A Java class name embedded in the
where clause will be translated to its discriminator value.
</para>
<programlisting><![CDATA[from Cat cat where cat.class = DomesticCat]]></programlisting>
<para>
You may also specify properties of components or composite user types (and of components
of components, etc). Never try to use a path-expression that ends in a property of component
type (as opposed to a property of a component). For example, if <literal>store.owner</literal>
is an entity with a component <literal>address</literal>
</para>
<programlisting><![CDATA[store.owner.address.city // okay
store.owner.address // error!]]></programlisting>
<para>
An "any" type has the special properties <literal>id</literal> and <literal>class</literal>,
allowing us to express a join in the following way (where <literal>AuditLog.item</literal>
is a property mapped with <literal>&lt;any&gt;</literal>).
</para>
<programlisting><![CDATA[from AuditLog log, Payment payment
where log.item.class = 'Payment' and log.item.id = payment.id]]></programlisting>
<para>
Notice that <literal>log.item.class</literal> and <literal>payment.class</literal>
would refer to the values of completely different database columns in the above query.
</para>
</sect1>
<sect1 id="queryhql-expressions">
<title>Expressions</title>
<para>
Expressions allowed in the <literal>where</literal> clause include
most of the kind of things you could write in SQL:
</para>
<itemizedlist spacing="compact">
<listitem>
<para>
mathematical operators <literal>+, -, *, /</literal>
</para>
</listitem>
<listitem>
<para>
binary comparison operators <literal>=, &gt;=, &lt;=, &lt;&gt;, !=, like</literal>
</para>
</listitem>
<listitem>
<para>
logical operations <literal>and, or, not</literal>
</para>
</listitem>
<listitem>
<para>
Parentheses <literal>( )</literal>, indicating grouping
</para>
</listitem>
<listitem>
<para>
<literal>in</literal>,
<literal>not in</literal>,
<literal>between</literal>,
<literal>is null</literal>,
<literal>is not null</literal>,
<literal>is empty</literal>,
<literal>is not empty</literal>,
<literal>member of</literal> and
<literal>not member of</literal>
</para>
</listitem>
<listitem>
<para>
"Simple" case, <literal>case ... when ... then ... else ... end</literal>, and
"searched" case, <literal>case when ... then ... else ... end</literal>
</para>
</listitem>
<listitem>
<para>
string concatenation <literal>...||...</literal> or <literal>concat(...,...)</literal>
</para>
</listitem>
<listitem>
<para>
<literal>current_date()</literal>, <literal>current_time()</literal>,
<literal>current_timestamp()</literal>
</para>
</listitem>
<listitem>
<para>
<literal>second(...)</literal>, <literal>minute(...)</literal>,
<literal>hour(...)</literal>, <literal>day(...)</literal>,
<literal>month(...)</literal>, <literal>year(...)</literal>,
</para>
</listitem>
<listitem>
<para>
Any function or operator defined by EJB-QL 3.0: <literal>substring(), trim(),
lower(), upper(), length(), locate(), abs(), sqrt(), bit_length(), mod()</literal>
</para>
</listitem>
<listitem>
<para>
<literal>coalesce()</literal> and <literal>nullif()</literal>
</para>
</listitem>
<listitem>
<para>
<literal>str()</literal> for converting numeric or temporal values to a
readable string
</para>
</listitem>
<listitem>
<para>
<literal>cast(... as ...)</literal>, where the second argument is the name of
a Hibernate type, and <literal>extract(... from ...)</literal> if ANSI
<literal>cast()</literal> and <literal>extract()</literal> is supported by
the underlying database
</para>
</listitem>
<listitem>
<para>
the HQL <literal>index()</literal> function, that applies to aliases of
a joined indexed collection
</para>
</listitem>
<listitem>
<para>
HQL functions that take collection-valued path expressions: <literal>size(),
minelement(), maxelement(), minindex(), maxindex()</literal>, along with the
special <literal>elements()</literal> and <literal>indices</literal> functions
which may be quantified using <literal>some, all, exists, any, in</literal>.
</para>
</listitem>
<listitem>
<para>
Any database-supported SQL scalar function like <literal>sign()</literal>,
<literal>trunc()</literal>, <literal>rtrim()</literal>, <literal>sin()</literal>
</para>
</listitem>
<listitem>
<para>
JDBC-style positional parameters <literal>?</literal>
</para>
</listitem>
<listitem>
<para>
named parameters <literal>:name</literal>, <literal>:start_date</literal>, <literal>:x1</literal>
</para>
</listitem>
<listitem>
<para>
SQL literals <literal>'foo'</literal>, <literal>69</literal>, <literal>6.66E+2</literal>,
<literal>'1970-01-01 10:00:01.0'</literal>
</para>
</listitem>
<listitem>
<para>
Java <literal>public static final</literal> constants <literal>eg.Color.TABBY</literal>
</para>
</listitem>
</itemizedlist>
<para>
<literal>in</literal> and <literal>between</literal> may be used as follows:
</para>
<programlisting><![CDATA[from DomesticCat cat where cat.name between 'A' and 'B']]></programlisting>
<programlisting><![CDATA[from DomesticCat cat where cat.name in ( 'Foo', 'Bar', 'Baz' )]]></programlisting>
<para>
and the negated forms may be written
</para>
<programlisting><![CDATA[from DomesticCat cat where cat.name not between 'A' and 'B']]></programlisting>
<programlisting><![CDATA[from DomesticCat cat where cat.name not in ( 'Foo', 'Bar', 'Baz' )]]></programlisting>
<para>
Likewise, <literal>is null</literal> and <literal>is not null</literal> may be used to test
for null values.
</para>
<para>
Booleans may be easily used in expressions by declaring HQL query substitutions in Hibernate
configuration:
</para>
<programlisting><![CDATA[<property name="hibernate.query.substitutions">true 1, false 0</property>]]></programlisting>
<para>
This will replace the keywords <literal>true</literal> and <literal>false</literal> with the
literals <literal>1</literal> and <literal>0</literal> in the translated SQL from this HQL:
</para>
<programlisting><![CDATA[from Cat cat where cat.alive = true]]></programlisting>
<para>
You may test the size of a collection with the special property <literal>size</literal>, or
the special <literal>size()</literal> function.
</para>
<programlisting><![CDATA[from Cat cat where cat.kittens.size > 0]]></programlisting>
<programlisting><![CDATA[from Cat cat where size(cat.kittens) > 0]]></programlisting>
<para>
For indexed collections, you may refer to the minimum and maximum indices using
<literal>minindex</literal> and <literal>maxindex</literal> functions. Similarly,
you may refer to the minimum and maximum elements of a collection of basic type
using the <literal>minelement</literal> and <literal>maxelement</literal>
functions.
</para>
<programlisting><![CDATA[from Calendar cal where maxelement(cal.holidays) > current date]]></programlisting>
<programlisting><![CDATA[from Order order where maxindex(order.items) > 100]]></programlisting>
<programlisting><![CDATA[from Order order where minelement(order.items) > 10000]]></programlisting>
<para>
The SQL functions <literal>any, some, all, exists, in</literal> are supported when passed the element
or index set of a collection (<literal>elements</literal> and <literal>indices</literal> functions)
or the result of a subquery (see below).
</para>
<programlisting><![CDATA[select mother from Cat as mother, Cat as kit
where kit in elements(foo.kittens)]]></programlisting>
<programlisting><![CDATA[select p from NameList list, Person p
where p.name = some elements(list.names)]]></programlisting>
<programlisting><![CDATA[from Cat cat where exists elements(cat.kittens)]]></programlisting>
<programlisting><![CDATA[from Player p where 3 > all elements(p.scores)]]></programlisting>
<programlisting><![CDATA[from Show show where 'fizard' in indices(show.acts)]]></programlisting>
<para>
Note that these constructs - <literal>size</literal>, <literal>elements</literal>,
<literal>indices</literal>, <literal>minindex</literal>, <literal>maxindex</literal>,
<literal>minelement</literal>, <literal>maxelement</literal> - may only be used in
the where clause in Hibernate3.
</para>
<para>
Elements of indexed collections (arrays, lists, maps) may be referred to by
index (in a where clause only):
</para>
<programlisting><![CDATA[from Order order where order.items[0].id = 1234]]></programlisting>
<programlisting><![CDATA[select person from Person person, Calendar calendar
where calendar.holidays['national day'] = person.birthDay
and person.nationality.calendar = calendar]]></programlisting>
<programlisting><![CDATA[select item from Item item, Order order
where order.items[ order.deliveredItemIndices[0] ] = item and order.id = 11]]></programlisting>
<programlisting><![CDATA[select item from Item item, Order order
where order.items[ maxindex(order.items) ] = item and order.id = 11]]></programlisting>
<para>
The expression inside <literal>[]</literal> may even be an arithmetic expression.
</para>
<programlisting><![CDATA[select item from Item item, Order order
where order.items[ size(order.items) - 1 ] = item]]></programlisting>
<para>
HQL also provides the built-in <literal>index()</literal> function, for elements
of a one-to-many association or collection of values.
</para>
<programlisting><![CDATA[select item, index(item) from Order order
join order.items item
where index(item) < 5]]></programlisting>
<para>
Scalar SQL functions supported by the underlying database may be used
</para>
<programlisting><![CDATA[from DomesticCat cat where upper(cat.name) like 'FRI%']]></programlisting>
<para>
If you are not yet convinced by all this, think how much longer and less readable the
following query would be in SQL:
</para>
<programlisting><![CDATA[select cust
from Product prod,
Store store
inner join store.customers cust
where prod.name = 'widget'
and store.location.name in ( 'Melbourne', 'Sydney' )
and prod = all elements(cust.currentOrder.lineItems)]]></programlisting>
<para>
<emphasis>Hint:</emphasis> something like
</para>
<programlisting><![CDATA[SELECT cust.name, cust.address, cust.phone, cust.id, cust.current_order
FROM customers cust,
stores store,
locations loc,
store_customers sc,
product prod
WHERE prod.name = 'widget'
AND store.loc_id = loc.id
AND loc.name IN ( 'Melbourne', 'Sydney' )
AND sc.store_id = store.id
AND sc.cust_id = cust.id
AND prod.id = ALL(
SELECT item.prod_id
FROM line_items item, orders o
WHERE item.order_id = o.id
AND cust.current_order = o.id
)]]></programlisting>
</sect1>
<sect1 id="queryhql-ordering">
<title>The order by clause</title>
<para>
The list returned by a query may be ordered by any property of a returned class or components:
</para>
<programlisting><![CDATA[from DomesticCat cat
order by cat.name asc, cat.weight desc, cat.birthdate]]></programlisting>
<para>
The optional <literal>asc</literal> or <literal>desc</literal> indicate ascending or descending order
respectively.
</para>
</sect1>
<sect1 id="queryhql-grouping">
<title>The group by clause</title>
<para>
A query that returns aggregate values may be grouped by any property of a returned class or components:
</para>
<programlisting><![CDATA[select cat.color, sum(cat.weight), count(cat)
from Cat cat
group by cat.color]]></programlisting>
<programlisting><![CDATA[select foo.id, avg(name), max(name)
from Foo foo join foo.names name
group by foo.id]]></programlisting>
<para>
A <literal>having</literal> clause is also allowed.
</para>
<programlisting><![CDATA[select cat.color, sum(cat.weight), count(cat)
from Cat cat
group by cat.color
having cat.color in (eg.Color.TABBY, eg.Color.BLACK)]]></programlisting>
<para>
SQL functions and aggregate functions are allowed in the <literal>having</literal>
and <literal>order by</literal> clauses, if supported by the underlying database
(eg. not in MySQL).
</para>
<programlisting><![CDATA[select cat
from Cat cat
join cat.kittens kitten
group by cat
having avg(kitten.weight) > 100
order by count(kitten) asc, sum(kitten.weight) desc]]></programlisting>
<para>
Note that neither the <literal>group by</literal> clause nor the
<literal>order by</literal> clause may contain arithmetic expressions.
</para>
</sect1>
<sect1 id="queryhql-subqueries" revision="2">
<title>Subqueries</title>
<para>
For databases that support subselects, Hibernate supports subqueries within queries. A subquery must
be surrounded by parentheses (often by an SQL aggregate function call). Even correlated subqueries
(subqueries that refer to an alias in the outer query) are allowed.
</para>
<programlisting><![CDATA[from Cat as fatcat
where fatcat.weight > (
select avg(cat.weight) from DomesticCat cat
)]]></programlisting>
<programlisting><![CDATA[from DomesticCat as cat
where cat.name = some (
select name.nickName from Name as name
)]]></programlisting>
<programlisting><![CDATA[from Cat as cat
where not exists (
from Cat as mate where mate.mate = cat
)]]></programlisting>
<programlisting><![CDATA[from DomesticCat as cat
where cat.name not in (
select name.nickName from Name as name
)]]></programlisting>
<programlisting><![CDATA[select cat.id, (select max(kit.weight) from cat.kitten kit)
from Cat as cat]]></programlisting>
<para>
Note that HQL subqueries may occur only in the select or where clauses.
</para>
<para>
For subqueries with more than one expression in the select list, you can use a tuple constructor:
</para>
<programlisting><![CDATA[from Cat as cat
where not ( cat.name, cat.color ) in (
select cat.name, cat.color from DomesticCat cat
)]]></programlisting>
<para>
Note that on some databases (but not Oracle or HSQL), you can use tuple constructors in other
contexts, for example when querying components or composite user types:
</para>
<programlisting><![CDATA[from Person where name = ('Gavin', 'A', 'King')]]></programlisting>
<para>
Which is equivalent to the more verbose:
</para>
<programlisting><![CDATA[from Person where name.first = 'Gavin' and name.initial = 'A' and name.last = 'King')]]></programlisting>
<para>
There are two good reasons you might not want to do this kind of thing: first, it is not
completely portable between database platforms; second, the query is now dependent upon
the ordering of properties in the mapping document.
</para>
</sect1>
<sect1 id="queryhql-examples">
<title>HQL examples</title>
<para>
Hibernate queries can be quite powerful and complex. In fact, the power of the query language
is one of Hibernate's main selling points. Here are some example queries very similar to queries
that I used on a recent project. Note that most queries you will write are much simpler than these!
</para>
<para>
The following query returns the order id, number of items and total value of the order for all
unpaid orders for a particular customer and given minimum total value, ordering the results by
total value. In determining the prices, it uses the current catalog. The resulting SQL query,
against the <literal>ORDER</literal>, <literal>ORDER_LINE</literal>, <literal>PRODUCT</literal>,
<literal>CATALOG</literal> and <literal>PRICE</literal> tables has four inner joins and an
(uncorrelated) subselect.
</para>
<programlisting><![CDATA[select order.id, sum(price.amount), count(item)
from Order as order
join order.lineItems as item
join item.product as product,
Catalog as catalog
join catalog.prices as price
where order.paid = false
and order.customer = :customer
and price.product = product
and catalog.effectiveDate < sysdate
and catalog.effectiveDate >= all (
select cat.effectiveDate
from Catalog as cat
where cat.effectiveDate < sysdate
)
group by order
having sum(price.amount) > :minAmount
order by sum(price.amount) desc]]></programlisting>
<para>
What a monster! Actually, in real life, I'm not very keen on subqueries, so my query was
really more like this:
</para>
<programlisting><![CDATA[select order.id, sum(price.amount), count(item)
from Order as order
join order.lineItems as item
join item.product as product,
Catalog as catalog
join catalog.prices as price
where order.paid = false
and order.customer = :customer
and price.product = product
and catalog = :currentCatalog
group by order
having sum(price.amount) > :minAmount
order by sum(price.amount) desc]]></programlisting>
<para>
The next query counts the number of payments in each status, excluding all payments in the
<literal>AWAITING_APPROVAL</literal> status where the most recent status change was made by the
current user. It translates to an SQL query with two inner joins and a correlated subselect
against the <literal>PAYMENT</literal>, <literal>PAYMENT_STATUS</literal> and
<literal>PAYMENT_STATUS_CHANGE</literal> tables.
</para>
<programlisting><![CDATA[select count(payment), status.name
from Payment as payment
join payment.currentStatus as status
join payment.statusChanges as statusChange
where payment.status.name <> PaymentStatus.AWAITING_APPROVAL
or (
statusChange.timeStamp = (
select max(change.timeStamp)
from PaymentStatusChange change
where change.payment = payment
)
and statusChange.user <> :currentUser
)
group by status.name, status.sortOrder
order by status.sortOrder]]></programlisting>
<para>
If I would have mapped the <literal>statusChanges</literal> collection as a list, instead of a set,
the query would have been much simpler to write.
</para>
<programlisting><![CDATA[select count(payment), status.name
from Payment as payment
join payment.currentStatus as status
where payment.status.name <> PaymentStatus.AWAITING_APPROVAL
or payment.statusChanges[ maxIndex(payment.statusChanges) ].user <> :currentUser
group by status.name, status.sortOrder
order by status.sortOrder]]></programlisting>
<para>
The next query uses the MS SQL Server <literal>isNull()</literal> function to return all
the accounts and unpaid payments for the organization to which the current user belongs.
It translates to an SQL query with three inner joins, an outer join and a subselect against
the <literal>ACCOUNT</literal>, <literal>PAYMENT</literal>, <literal>PAYMENT_STATUS</literal>,
<literal>ACCOUNT_TYPE</literal>, <literal>ORGANIZATION</literal> and
<literal>ORG_USER</literal> tables.
</para>
<programlisting><![CDATA[select account, payment
from Account as account
left outer join account.payments as payment
where :currentUser in elements(account.holder.users)
and PaymentStatus.UNPAID = isNull(payment.currentStatus.name, PaymentStatus.UNPAID)
order by account.type.sortOrder, account.accountNumber, payment.dueDate]]></programlisting>
<para>
For some databases, we would need to do away with the (correlated) subselect.
</para>
<programlisting><![CDATA[select account, payment
from Account as account
join account.holder.users as user
left outer join account.payments as payment
where :currentUser = user
and PaymentStatus.UNPAID = isNull(payment.currentStatus.name, PaymentStatus.UNPAID)
order by account.type.sortOrder, account.accountNumber, payment.dueDate]]></programlisting>
</sect1>
<sect1 id="queryhql-bulk" revision="2">
<title>Bulk update and delete</title>
<para>
HQL now supports <literal>update</literal>, <literal>delete</literal> and
<literal>insert ... select ...</literal> statements.
See <xref linkend="batch-direct"/> for details.
</para>
</sect1>
<sect1 id="queryhql-tipstricks">
<title>Tips &amp; Tricks</title>
<para>
You can count the number of query results without actually returning them:
</para>
<programlisting><![CDATA[( (Integer) session.iterate("select count(*) from ....").next() ).intValue()]]></programlisting>
<para>
To order a result by the size of a collection, use the following query:
</para>
<programlisting><![CDATA[select usr.id, usr.name
from User as usr
left join usr.messages as msg
group by usr.id, usr.name
order by count(msg)]]></programlisting>
<para>
If your database supports subselects, you can place a condition upon selection
size in the where clause of your query:
</para>
<programlisting><![CDATA[from User usr where size(usr.messages) >= 1]]></programlisting>
<para>
If your database doesn't support subselects, use the following query:
</para>
<programlisting><![CDATA[select usr.id, usr.name
from User usr.name
join usr.messages msg
group by usr.id, usr.name
having count(msg) >= 1]]></programlisting>
<para>
As this solution can't return a <literal>User</literal> with zero messages
because of the inner join, the following form is also useful:
</para>
<programlisting><![CDATA[select usr.id, usr.name
from User as usr
left join usr.messages as msg
group by usr.id, usr.name
having count(msg) = 0]]></programlisting>
<para>
Properties of a JavaBean can be bound to named query parameters:
</para>
<programlisting><![CDATA[Query q = s.createQuery("from foo Foo as foo where foo.name=:name and foo.size=:size");
q.setProperties(fooBean); // fooBean has getName() and getSize()
List foos = q.list();]]></programlisting>
<para>
Collections are pageable by using the <literal>Query</literal> interface with a filter:
</para>
<programlisting><![CDATA[Query q = s.createFilter( collection, "" ); // the trivial filter
q.setMaxResults(PAGE_SIZE);
q.setFirstResult(PAGE_SIZE * pageNumber);
List page = q.list();]]></programlisting>
<para>
Collection elements may be ordered or grouped using a query filter:
</para>
<programlisting><![CDATA[Collection orderedCollection = s.filter( collection, "order by this.amount" );
Collection counts = s.filter( collection, "select this.type, count(this) group by this.type" );]]></programlisting>
<para>
You can find the size of a collection without initializing it:
</para>
<programlisting><![CDATA[( (Integer) session.iterate("select count(*) from ....").next() ).intValue();]]></programlisting>
</sect1>
</chapter>