Copyright © 2008-2011 The original authors
Revision History | ||
---|---|---|
09.02.2011 | ||
Initial port from Hades documentation |
Version control - git://github.com/SpringSource/spring-data-jpa.git
Bugtracker - https://jira.springsource.org/browse/DATAJPA
Release repository - http://maven.springframework.org/release
Milestone repository - http://maven.springframework.org/milestone
Snapshot repository - http://maven.springframework.org/snapshot
Implementing a data access layer of an application has been cumbersome for quite a while. Too much boilerplate code had to be written. Domain classes were anemic and haven't been designed in a real object oriented or domain driven manner.
Using both of these technologies makes developers life a lot easier regarding rich domain model's persistence. Nevertheless the amount of boilerplate code to implement repositories especially is still quite high. So the goal of the repository abstraction of Spring Data is to reduce the effort to implement data access layers for various persistence stores significantly.
The following chapters will introduce the core concepts and interfaces of Spring Data repositories.
The central interface in Spring Data repository abstraction is
Repository
(probably not that much of a
surprise). It is typeable to the domain class to manage as well as the id
type of the domain class. This interface mainly acts as marker interface
to capture the types to deal with and helps us discovering interface that
extend this one. Beyond that there's
CrudRepository
which provides some
sophisticated functionality around CRUD for the entity managed.
Example 1.1. Repository interface
public interface CrudRepository<T, ID extends Serializable> extends Repository<T, ID> { T save(T entity); T findOne(ID primaryKey); Iterable<T> findAll(); Long count(); void delete(T entity); boolean exists(ID primaryKey); // … more functionality omitted. }
Saves the given entity. | |
Returns the entity identified by the given id. | |
Returns all entities. | |
Returns the number of entities. | |
Deletes the given entity. | |
Returns whether an entity with the given id exists. |
Usually we will have persistence technology specific sub-interfaces to include additional technology specific methods. We will now ship implementations for a variety of Spring Data modules that implement that interface.
On top of the CrudRepository
there is
a PagingAndSortingRepository
abstraction
that adds additional methods to ease paginated access to entities:
Example 1.2. PagingAndSortingRepository
public interface PagingAndSortingRepository<T, ID extends Serializable> extends CrudRepository<T, ID> { Iterable<T> findAll(Sort sort); Page<T> findAll(Pageable pageable); }
Accessing the second page of User
by a page
size of 20 you could simply do something like this:
PagingAndSortingRepository<User, Long> repository = // … get access to a bean Page<User> users = repository.findAll(new PageRequest(1, 20);
Next to standard CRUD functionality repositories are usually query the underlying datastore. With Spring Data declaring those queries becomes a four-step process.
Declare an interface extending
Repository
or one of it's
sub-interfaces and type it to the domain class it shall handle.
public interface PersonRepository extends Repository<User, Long> { … }
Declare query methods on the interface.
List<Person> findByLastname(String lastname);
Setup Spring to create proxy instances for those interfaces.
<?xml version="1.0" encoding="UTF-8"?> <beans:beans xmlns:beans="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.springframework.org/schema/data/jpa xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/data/jpa http://www.springframework.org/schema/data/jpa/spring-jpa.xsd"> <repositories base-package="com.acme.repositories" /> </beans>
Get the repository instance injected and use it.
public class SomeClient { @Autowired private PersonRepository repository; public void doSomething() { List<Person> persons = repository.findByLastname("Matthews"); }
At this stage we barely scratched the surface of what's possible with the repositories but the general approach should be clear. Let's go through each of these steps and and figure out details and various options that you have at each stage.
As a very first step you define a domain class specific repository
interface to start with. It's got to extend
Repository
and be typed to the domain
class and an ID type. If you want to expose CRUD methods for that domain
type, extend CrudRepository
instead of
Repository
.
Usually you will have your repository interface extend
Repository
,
CrudRepository
or
PagingAndSortingRepository
. If you
don't like extending Spring Data interfaces at all you can also
annotate your repository interface with
@RepositoryDefinition
. Extending
CrudRepository
will expose a complete
set of methods to manipulate your entities. If you rather want to be
selective about the methods being expose simply copy the ones you want
to expose from CrudRepository
into your
domain repository.
Example 1.3. Selectively exposing CRUD methods
interface MyBaseRepository<T, ID extends Serializable> extends Repository<T, ID> { T findOne(ID id); T save(T entity); } interface UserRepository extends MyBaseRepository<User, Long> { User findByEmailAddress(EmailAddress emailAddress); }
In the first step we define a common base interface for all our
domain repositories and expose findOne(…)
as
well as save(…)
.These methods will be routed
into the base repository implementation of the store of your choice
because they are matching the method signatures in
CrudRepository
. So our
UserRepository
will now be able to save
users, find single ones by id as well as triggering a query to find
User
s by their email address.
The next thing we have to discuss is the definition of query methods. There's roughly two main ways how the repository proxy is generally able to come up with the store specific query from the method name. The first option is to derive the quer from the method name directly, the second is using some kind of additionally created query. What detailed options are available pretty much depends on the actual store. However there's got to be some algorithm the decision which actual query to is made.
There's three strategies for the repository infrastructure to
resolve the query. The strategy to be used can be configured at the
namespace through the query-lookup-strategy
attribute.
However might be the case that some of the strategies are not
supported for the specific datastore. Here are your options:
This strategy will try to construct a store specific query from the query method's name. The general approach is to remove a given set of well-known prefixes from the method name and parse the rest of the method. Read more about query construction in Section 1.3.2.2, “Query creation”.
This strategy tries to find a declared query which will be used for execution first. The query could be defined by an annotation somwhere or declared by other means. Please consult the documentation of the specific store to find out what options are available for that store. If the repository infrastructure does not find a declared query for the method at bootstrap time it will fail.
This strategy is actually a combination of the both mentioned above. It will try to lookup a declared query first but create a custom method name based query if no declared query was found. This is default lookup strategy and thus will be used if you don't configure anything explicitly. It allows quick query definition by method names but also custom tuning of these queries by introducing declared queries for those who need explicit tuning.
The query builder mechanism built into Spring Data repository
infrastructue is useful to build constraining queries over entities of
the repository. We will strip the prefixes findBy
,
find
, readBy
, read
,
getBy
as well as get
from the method and
start parsing the rest of it. At a very basic level you can define
conditions on entity properties and concatenate them with
AND
and OR
.
Example 1.4. Query creation from method names
public interface PersonRepository extends Repository<User, Long> { List<Person> findByEmailAddressAndLastname(EmailAddress emailAddress, String lastname); }
The actual result of parsing that method will of course depend
on the persistence store we create the query for. However there are
some general things to notice. The expression are usually property
traversals combined with operators that can be concatenated. As you
can see in the example you can combine property expressions with And
and Or. Beyond that you will get support for various operators like
Between
, LessThan
,
GreaterThan
, Like
for the
property expressions. As the operators supported can vary from
datastore to datastore please consult the according part of the
reference documentation.
Property expressions can just refer to a direct property of
the managed entity (as you just saw in the example above. On query
creation time we already make sure that the parsed property is at a
property of the managed domain class. However you can also traverse
nested properties to define constraints on. Assume
Person
s have Address
es
with ZipCode
s. In that case a method name
of
List<Person> findByAddressZipCode(ZipCode zipCode);
will create the property traversal
x.address.zipCode
. The resolution algorithm starts with
interpreting the entire part (AddressZipCode
) as
property and checks the domain class for a property with that name
(uncapitalized). If it succeeds it just uses that. If not it starts
splitting up the source at the camel case parts from the right side
into a head and a tail and tries to find the according property,
e.g. AddressZip
and Code
. If
we find a property with that head we take the tail and continue
building the tree down from there. As in our case the first split
does not match we move the split point to the left
(Address
, ZipCode
).
Now although this should work for most cases, there might be
cases where the algorithm could select the wrong property. Suppose
our Person
class has a
addressZip
property as well. Then our algorithm would
match in the first split round already and essentially choose the
wrong property and finally fail (as the type of
addressZip
probably has no code property). To
resolve this ambiguity you can use _
inside your
method name to manually define traversal points. So our method name
would end up like so:
List<Person> findByAddress_ZipCode(ZipCode zipCode);
To hand parameters to your query you simply define method parameters as already seen in in examples above. Besides that we will recognizes certain specific types to apply pagination and sorting to your queries dynamically.
Example 1.5. Using Pageable and Sort in query methods
Page<User> findByLastname(String lastname, Pageable pageable); List<User> findByLastname(String lastname, Sort sort); List<User> findByLastname(String lastname, Pageable pageable);
The first method allows you to pass a Pageable
instance to the query method to dynamically add paging to your
statically defined query. Sorting
options are handed via
the Pageable
instance, too. If you only
need sorting, simply add a Sort
parameter to your method.
As you also can see, simply returning a
List
is possible as well. We will then
not retrieve the additional metadata required to build the actual
Page
instance but rather simply
restrict the query to lookup only the given range of entities.
Note | |
---|---|
To find out how many pages you get for a query entirely we have to trigger an additional count query. This will be derived from the query you actually trigger by default. |
So now the question is how to create instances and bean definitions for the repository interfaces defined.
The easiest way to do so is by using the Spring namespace that is shipped with each Spring Data module that supports the repository mechanism. Each of those includes a repositories element that allows you to simply define a base packge Spring shall scan for you.
<?xml version="1.0" encoding="UTF-8"?> <beans:beans xmlns:beans="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.springframework.org/schema/data/jpa xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/data/jpa http://www.springframework.org/schema/data/jpa/spring-jpa.xsd"> <repositories base-package="com.acme.repositories" /> </beans:beans>
In this case we instruct Spring to scan
com.acme.repositories and all it's sub packages for
interfaces extending Repository
or one
of its sub-interfaces. For each interface found it will register the
presistence technology specific
FactoryBean
to create the according
proxies that handle invocations of the query methods. Each of these
beans will be registered under a bean name that is derived from the
interface name, so an interface of
UserRepository
would be registered
under userRepository
. The base-package
attribute allows to use wildcards, so that you can have a pattern of
packages parsed.
By default we will pick up every interface extending the
persistence technology specific
Repository
sub-interface located
underneath the configured base package and create a bean instance
for it. However, you might want to gain finer grained control over
which interfaces bean instances get created for. To do this we
support the use of <include-filter />
and
<exclude-filter />
elements inside
<repositories />
. The semantics are exactly
equivalent to the elements in Spring's context namespace. For
details see Spring reference documentation on these
elements.
E.g. to exclude certain interfaces from instantiation as repository, you could use the following configuration:
Example 1.6. Using exclude-filter element
<repositories base-package="com.acme.repositories"> <context:exclude-filter type="regex" expression=".*SomeRepository" /> </repositories>
This would exclude all interface ending on
SomeRepository
from being
instantiated.
You can also use the repository infrastructure outside of a
Spring container usage. You will still need to have some of the Spring
libraries on your classpath but you can generally setup repositories
programatically as well. The Spring Data modules providing repository
support ship a persistence technology specific
RepositoryFactory
that can be used as
follows:
Example 1.7. Standalone usage of repository factory
RepositoryFactorySupport factory = … // Instantiate factory here UserRepository repository = factory.getRepository(UserRepository.class);
Often it is necessary to provide a custom implementation for a few repository methods. Spring Data repositories easily allow provide custom repository code and integrate it with generic CRUD abstraction and query method functionality. To enrich a repository with custom functionality you have to define an interface and an implementation for that functionality first and let the repository interface you provided so far extend that custom interface.
Example 1.8. Interface for custom repository functionality
interface UserRepositoryCustom { public void someCustomMethod(User user); }
Example 1.9. Implementation of custom repository functionality
class UserRepositoryImpl implements UserRepositoryCustom { public void someCustomMethod(User user) { // Your custom implementation } }
Note that the implementation itself does not depend on Spring Data and can be a regular Spring bean. So you can either use standard dependency injection behaviour to inject references to other beans, take part in aspects and so on.
Example 1.10. Changes to the your basic repository interface
public interface UserRepository extends CrudRepository<User, Long>, UserRepositoryCustom { // Declare query methods here }
Let your standard repository interface extend the custom one. This makes CRUD and custom functionality available to clients.
If you use namespace configuration the repository infrastructure
tries to autodetect custom implementations by looking up classes in
the package we found a repository using the naming conventions
appending the namespace element's attribute
repository-impl-postfix
to the classname. This suffix
defaults to Impl
.
Example 1.11. Configuration example
<repositories base-package="com.acme.repository"> <repository id="userRepository" /> </repositories> <repositories base-package="com.acme.repository" repository-impl-postfix="FooBar"> <repository id="userRepository" /> </repositories>
The first configuration example will try to lookup a class
com.acme.repository.UserRepositoryImpl
to act
as custom repository implementation, where the second example will try
to lookup
com.acme.repository.UserRepositoryFooBar
.
The approach above works perfectly well if your custom implementation uses annotation based configuration and autowring entirely as will be trated as any other Spring bean. If your customly implemented bean needs some special wiring you simply declare the bean and name it after the conventions just descibed. We will then pick up the custom bean by name rather than creating an own instance.
Example 1.12. Manual wiring of custom implementations (I)
<repositories base-package="com.acme.repository"> <repository id="userRepository" /> </repositories> <beans:bean id="userRepositoryImpl" class="…"> <!-- further configuration --> </beans:bean>
This also works if you use automatic repository lookup without
defining single <repository />
elements.
In case you are not in control of the implementation bean name
(e.g. if you wrap a generic repository facade around an existing
repository implementation) you can explicitly tell the
<repository />
element which bean to use as custom
implementation by using the repository-impl-ref
attribute.
Example 1.13. Manual wiring of custom implementations (II)
<repositories base-package="com.acme.repository"> <repository id="userRepository" repository-impl-ref="customRepositoryImplementation" /> </repositories> <bean id="customRepositoryImplementation" class="…"> <!-- further configuration --> </bean>
In other cases you might want to add a single method to all of your repository interfaces. So the approach just shown is not feasible. The first step to achieve this is adding and intermediate interface to declare the shared behaviour
Example 1.14. An interface declaring custom shared behaviour
public interface MyRepository<T, ID extends Serializable> extends JpaRepository<T, ID> { void sharedCustomMethod(ID id); }
Now your individual repository interfaces will extend this intermediate interface to include the functionality declared. The second step is to create an implementation of this interface that extends the persistence technology specific repository base class which will act as custom base class for the repository proxies then.
Note | |
---|---|
If you're using automatic repository interface detection using
the Spring namespace using the interface just as is will cause Spring
trying to create an instance of
|
Example 1.15. Custom repository base class
public class MyRepositoryImpl<T, ID extends Serializable> extends SimpleJpaRepository<T, ID> implements MyRepository<T, ID> { public void sharedCustomMethod(ID id) { // implementation goes here } }
The last step to get this implementation used as base class for
Spring Data repositores is replacing the standard
RepositoryFactoryBean
with a custom one using a
custom RepositoryFactory
that in turn creates
instances of your MyRepositoryImpl
class.
Example 1.16. Custom repository factory bean
public class MyRepositoryFactoryBean<T extends JpaRepository<?, ?> extends JpaRepositoryFactoryBean<T> { protected RepositoryFactorySupport getRepositoryFactory(…) { return new MyRepositoryFactory(…); } private static class MyRepositoryFactory extends JpaRepositoryFactory{ public MyRepositoryImpl getTargetRepository(…) { return new MyRepositoryImpl(…); } public Class<? extends RepositorySupport> getRepositoryClass() { return MyRepositoryImpl.class; } } }
Finally you can either declare beans of the custom factory
directly or use the factory-class
attribute of the Spring
namespace to tell the repository infrastructure to use your custom
factory implementation.
Example 1.17. Using the custom factory with the namespace
<repositories base-package="com.acme.repository" factory-class="com.acme.MyRepositoryFactoryBean" />
Abstract
This chapter includes details of the JPA repository implementation.
The JPA module of Spring Data contains a custom namespace that
allows defining repository beans. It also contains certain features and
element attributes that are special to JPA. Generally the JPA
repositories can be set up using the repositories
element:
Example 2.1. Setting up JPA repositories using the namespace
<?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:jpa="http://www.springframework.org/schema/data/jpa xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/data/jpa http://www.springframework.org/schema/data/jpa/spring-jpa.xsd"> <jpa:repositories base-package="com.acme.repositories" /> </beans>
Using this element looks up Spring Data repositories as described
in Section 1.3.3, “Creating repository instances”. Beyond that it
activates persistence exception translation for all beans annotated with
@Repository
to let exceptions being
thrown by the JPA presistence providers be converted into Spring's
DataAccessException
hierarchy.
Beyond the default attributes of the repositories
element the JPA namespace offers additional attributes to gain more
detailled control over the setup of the repositories:
Table 2.1. Custom JPA-specific attributes of the repositories element
entity-manager-factory-ref | Explicitly wire the
EntityManagerFactory to be used
with the repositories being detected by the
repositories element. Usually used if multiple
EntityManagerFactory beans are
used within the application. If not configured we will
automatically lookup the single
EntityManagerFactory configured
in the
ApplicationContext . |
transaction-manager-ref | Explicitly wire tha
PlatformTransactionManager to
be used with the repositories being detected by the
repositories element. Usually only necessary if
multiple transaction managers and/or
EntityManagerFactory beans have
been configured. Default to a single defined
PlatformTransactionManager
inside the current
ApplicationContext . |
The JPA module supports defining a query manually as String or have it being derived from the method name.
Although getting a query derived from the method name is quite
convenient, one might face the situation in which either the method
name parser does not support the keyword one wants to use or the
method name would get unnecessarily ugly. So you can either use JPA
named queries through a naming convention (see Section 2.2.3, “Using JPA NamedQueries” for more information) or
rather annotate your query method with
@Query
(see Section 2.2.4, “Using @Query” for details).
Generally the query creation mechanism for JPA works as described in Section 1.3, “Query methods”. Here's a short example of what a JPA query method translates into:
Example 2.2. Query creation from method names
public interface UserRepository extends Repository<User, Long> { List<User> findByEmailAddressAndLastname(String emailAddress, String lastname); }
We will create a query using the JPA criteria API from this but essentially this translates into the following query:
select u from User u where u.emailAddress = ?1 and u.lastname = ?2
Spring Data JPA will do a property check and traverse nested properties as described in Section 1.3.2.2.1, “Property expressions”. Here's an overview of the keywords supported for JPA and what a method containing that keyword essentially translates to.
Table 2.2. Supported keywords inside method names
Keyword | Sample | JPQL snippet |
---|---|---|
And | findByLastnameAndFirstname | … where x.lastname = ?1 and x.firstname =
?2 |
Or | findByLastnameOrFirstname | … where x.lastname = ?1 or x.firstname =
?2 |
Between | findByStartDateBetween | … where x.startDate between 1? and
?2 |
LessThan | findByAgeLessThan | … where x.age < ?1 |
GreaterThan | findByAgeGreaterThan | … where x.age > ?1 |
IsNull | findByAgeIsNull | … where x.age is null |
IsNotNull,NotNull | findByAge(Is)NotNull | … where x.age not null |
Like | findByFirstnameLike | … where x.firstname like ?1 |
NotLike | findByFirstnameNotLike | … where x.firstname not like ?1 |
OrderBy | findByAgeOrderByLastnameDesc | … where x.age = ?1 order by x.lastname
desc |
Not | findByLastnameNot | … where x.lastname <> ?1 |
In | findByAgeIn(Collection<Age>
ages) | … where x.age in ?1 |
NotIn | findByAgeNotIn(Collection<Age>
age) | … where x.age not in ?1 |
Note | |
---|---|
|
Note | |
---|---|
The examples use simple |
To use XML configuration simply add the necessary
<named-query />
element to the
orm.xml
JPA configuration file located in
META-INF
folder of your classpath. Automatic
invocation of named queries is enabled by using some defined naming
convention. For more details see below.
Example 2.3. XML named query configuration
<named-query name="User.findByLastname"> <query>select u from User u where u.lastname = ?1</query> </named-query>
As you can see the query has a special name which will be used to resolve it at runtime.
Annotation configuration has the advantage of not needing another configuration file to be edited, probably lowering maintenance costs. You pay for that benefit by the need to recompile your domain class for every new query declaration.
Example 2.4. Annotation based named query configuration
@Entity @NamedQuery(name = "User.findByEmailAddress", query = "select u from User u where u.emailAddress = ?1") public class User { }
To allow execution of these named queries all you need to do is
to specify the UserRepository
as
follows:
Example 2.5. Query method declaration in UserRepository
public interface UserRepository extends JpaRepository<User, Long> { List<User> findByLastname(String lastname); User findByEmailAddress(String emailAddress); }
Spring Data will try to resolve a call to these methods to a named query, starting with the simple name of the configured domain class, followed by the method name separated by a dot. So the example here would use the named queries defined above instead of trying to create a query from the method name.
Using named queries to declare queries for entities is a valid
approach and works fine for a small number of queries. As the queries
themselves are tied to the Java method that executes them you actually
can bind them directly using the Spring Data JPA @Query
annotation rather than annotating them to the domain class. This will
free the domain class from persistence specific information and
co-locate the query to the repository interface.
Queries annotated to the query method will take precedence over
queries defined using @NamedQuery
or named queries declared
in orm.xml
.
Example 2.6. Declare query at the query method using @Query
public interface UserRepository extends JpaRepository<User, Long> { @Query("select u from User u where u.emailAddress = ?1") User findByEmailAddress(String emailAddress); }
By default Spring Data JPA will use position based parameter
binding as described in all the samples above. This makes query methods
a little error prone to refactoring regarding the parameter position. To
solve this issue you can use @Param
annotation to give a
method parameter a concrete name and bind the name in the query:
Example 2.7. Using named parameters
public interface UserRepository extends JpaRepository<User, Long> { @Query("select u from User u where u.firstname = :firstname or u.lastname = :lastname") User findByLastnameOrFirstname(@Param("lastname") String lastname, @Param("firstname") String firstname); }
Note that the method parameters are switched according to the occurrence in the query defined.
All the sections above describe how to declare queries to access a
given entity or collection of entities. Of course you can add custom
modifying behaviour by using facilities described in ???. As this approach is feasible for
comprehensive custom functionality, you can achieve the execution of
modifying queries that actually only need parameter binding by
annotating the query method with @Modifying
:
Example 2.8. Declaring manipulating queries
@Modifying @Query("update User u set u.firstname = ?1 where u.lastname = ?2") int setFixedFirstnameFor(String firstname, String lastname);
This will trigger the query annotated to the method as updating
query instead of a selecting one. As the
EntityManager
might contain outdated
entities after the execution of the modifying query, we automatically
clear it (see JavaDoc of
EntityManager
.clear()
for details). This will effectively drop all non-flushed changes still
pending in the EntityManager
. If you
don't wish the EntityManager
to be
cleared automatically you can set
@Modifying
annotation's
clearAutomatically
attribute to
false
;
JPA 2 introduces a criteria API that can be used to build queries
programmatically. Writing a criteria
you actually define the
where-clause of a query for a domain class. Taking another step back these
criteria can be regarded as predicate over the entity that is described by
the JPA criteria API constraints.
Spring Data JPA takes the concept of a specification from Eric
Evans' book "Domain Driven Design", following the same semantics and
providing an API to define such
Specification
s using the JPA criteria API.
To support specifications you can extend your repository interface with
the JpaSpecificationExecutor
interface:
public interface CustomerRepository extends CrudRepository<Customer, Long>, JpaSpecificationExecutor { … }
The additional interface carries methods that allow you to execute
Specification
s in a variety of ways.
readAll
method will return all entities that match the specification:
List<T> readAll(Specification<T> spec);
The Specification
interface is as
follows:
public interface Specification<T> { Predicate toPredicate(Root<T> root, CriteriaQuery<?> query, CriteriaBuilder builder); }
Okay, so what is the typical use case?
Specification
s can easily be used to build
an extensible set of predicates on top of an entity that then can be
combined and used with JpaRepository
without the need to declare a query (method) for every needed combination.
Here's an example:
Example 2.9. Specifications for a Customer
public class CustomerSpecs { public static Specification<Customer> isLongTermCustomer() { return new Specification<Customer>() { Predicate toPredicate(Root<T> root, CriteriaQuery<?> query, CriteriaBuilder builder) { LocalDate date = new LocalDate().minusYears(2); return builder.lessThan(root.get(Customer_.createdAt), date); } }; } public static Specification<Customer> hasSalesOfMoreThan(MontaryAmount value) { return new Specification<Customer>() { Predicate toPredicate(Root<T> root, CriteriaQuery<?> query, CriteriaBuilder builder) { // build query here } }; } }
Admittedly the amount of boilerplate leaves room for improvement
(that will hopefully be reduced by Java 8 closures) but the client side
becomes much nicer as you will see below. Besides that we have expressed
some criteria on a business requirement abstraction level and created
executable Specification
s. So a client
might use a Specification
as
follows:
Example 2.10. Using a simple Specification
List<Customer> customers = customerRepository.findAll(isLongTermCustomer());
Okay, why not simply create a query for this kind of data access?
You're right. Using a single Specification
does not gain a lot of benefit over a plain query declaration. The power
of Specification
s really shines when you
combine them to create new Specification
objects. You can achieve this through the
Specifications
helper class we provide to build
expressions like this:
Example 2.11. Combined Specifications
MonetaryAmount amount = new MonetaryAmount(200.0, Currencies.DOLLAR);
List<Customer> customers = customerRepository.readAll(
where(isLongTermCustomer()).or(hasSalesOfMoreThan(amount)));
As
you can see, Specifications
offers some glue-code
methods to chain and combine
Specification
s. Thus extending your data
access layer is just a matter of creating new
Specification
implementations and
combining them with ones already existing.
CRUD methods on repository instances are transactional by default.
For reading operations the transaction configuration readOnly
flag is set to true, all others are configured with a plain
@Transactional
so that default transaction
configuration applies. For details see JavaDoc of
Repository
. If you need to tweak transaction
configuration for one of the methods declared in
Repository
simply redeclare the method in
your repository interface as follows:
Example 2.12. Custom transaction configuration for CRUD
public interface UserRepository extends JpaRepository<User, Long> { @Override @Transactional(timeout = 10) public List<User> findAll(); // Further query method declarations }
This will cause the findAll()
method to
be executed with a timeout of 10 seconds and without the
readOnly
flag.
Another possibility to alter transactional behaviour is using a facade or service implementation that typically covers more than one repository. Its purpose is to define transactional boundaries for non-CRUD operations:
Example 2.13. Using a facade to define transactions for multiple repository calls
@Service class UserManagementImpl implements UserManagement { private final UserRepository userRepository; private final RoleRepository roleRepository; @Autowired public UserManagementImpl(UserRepository userRepository, RoleRepository roleRepository) { this.userRepository = userRepository; this.roleRepository = roleRepository; } @Transactional public void addRoleToAllUsers(String roleName) { Role role = roleRepository.findByName(roleName); for (User user : userRepository.readAll()) { user.addRole(role); userRepository.save(user); } }
This will cause call to
addRoleToAllUsers(…)
to run inside a
transaction (participating in an existing one or create a new one if
none already running). The transaction configuration at the repositories
will be neglected then as the outer transaction configuration determines
the actual one used. Note that you will have to activate
<tx:annotation-driven />
explicitly to get annotation
based configuration at facades working. The example above assumes you
are using component scanning.
To allow your query methods to be transactional simply use
@Transactional
at the repository
interface you define.
Example 2.14. Using @Transactional at query methods
@Transactional(readOnly = true) public interface UserRepository extends JpaRepository<User, Long> { List<User> findByLastname(String lastname); @Modifying @Transactional @Query("delete from User u where u.active = false") void deleteInactiveUsers(); }
Typically you will want the readOnly
flag set to
true as most of the query methods will only read data. In contrast to
that deleteInactiveUsers()
makes use of the
@Modifying
annotation and overrides the
transaction configuration. Thus the method will be executed with
readOnly
flag set to false.
Note | |
---|---|
It's definitely reasonable to use transactions for read only
queries and we can mark them as such by setting the
|
Most applications will require some form of auditability to track when an entity was created or modified and by whom. Spring Data JPA provides facilities to add this audit information to an entity transparently by AOP means. To take part in this functionality your domain classes must implement a more advanced interface:
Example 2.15. Auditable
interface
public interface Auditable<U, ID extends Serializable> extends Persistable<ID> { U getCreatedBy(); void setCreatedBy(U createdBy); DateTime getCreatedDate(); void setCreated(Date creationDate); U getLastModifiedBy(); void setLastModifiedBy(U lastModifiedBy); DateTime getLastModifiedDate(); void setLastModified(Date lastModifiedDate); }
As you can see the modifying entity itself only has to be an entity. Mostly this will be some sort of User entity, so we chose U as parameter type.
Note | |
---|---|
To minimize boilerplate code Spring Data JPA offers
|
Spring Data JPA ships with an entity listener that can be used to
trigger capturing auditing information. So first you have to register
the AuditingEntityListener
inside your
orm.xml
to be used for all entities in your
persistence contexts:
Example 2.16. Auditing configuration orm.xml
<persistence-unit-metadata> <persistence-unit-defaults> <entity-listeners> <entity-listener class="….data.jpa.domain.support.AuditingEntityListener" /> </entity-listeners> </persistence-unit-defaults> </persistence-unit-metadata>
Now activating auditing functionality is just a matter of adding
the Spring Data JPA auditing
namespace element to
your configuration:
Example 2.17. Activating auditing in the Spring configuration
<jpa:auditing auditor-aware-ref="yourAuditorAwareBean" />
As you can see you have to provide a bean that implements the
AuditorAware
interface which looks as
follows:
Example 2.18. AuditorAware
interface
public interface AuditorAware<T, ID extends Serializable> { T getCurrentAuditor(); }
Usually you will have some kind of authentication component in
your application that tracks the user currently working with the system.
This component should be AuditorAware
and
thus allow seamless tracking of the auditor.
Spring supports having multiple persistence units out of the box.
Sometimes, however, you might want to modularize your application but
still make sure that all these modules run inside a single persistence
unit at runtime. To do so Spring Data JPA offers a
PersistenceUnitManager
implementation that automatically
merges persistence units based on their name.
Example 2.19. Using MergingPersistenceUnitmanager
<bean class="….LocalContainerEntityManagerFactoryBean"> <property name="persistenceUnitManager"> <bean class="….MergingPersistenceUnitManager" /> </property </bean>
The <repositories />
element acts as container
for <repository />
elements or can be left empty to
trigger auto detection[1] of repository instances. Attributes defined for
<repositories />
act are propagated to contained
<repository />
elements but can be overridden of
course.
Table A.1. Attributes
Name | Description |
---|---|
base-package | Defines the package to be used to be scanned for repository
interfaces extending *Repository
(actual interface is determined by specific Spring Data module) in
auto detection mode. All packages below the configured package
will be scanned, too. In auto configuration mode (no nested
<repository /> elements) wildcards are also
allowed. |
repository-impl-postfix | Defines the postfix to autodetect custom repository
implementations. Classes whose names end with the configured
postfix will be considered as candidates. Defaults to
Impl . |
query-lookup-strategy | Determines the strategy to be used to create finder
queries. See ??? for
details. Defaults to create-if-not-found . |
The <repository />
element can contain all
attributes of <repositories />
except
base-package
. This will result in overriding the values
configured in the surrounding <repositories />
element.
Thus here we will only document extended attributes.
Table A.2. Attributes
id | Defines the id of the bean the repository instance will be registered under as well as the repository interface name. |
custom-impl-ref | Defines a reference to a custom repository implementation bean. |
Aspect oriented programming
Commons DataBase Connection Pools - Library of the Apache
foundation offering pooling implementations of the
DataSource
interface.
Create, Read, Update, Delete - Basic persistence operations
Data Access Object - Pattern to separate persisting logic from the object to be persisted
Pattern to hand a component's dependency to the component from outside, freeing the component to lookup the dependant itself. For more information see http://en.wikipedia.org/wiki/Dependency_Injection.
Object relational mapper implementing JPA - http://www.eclipselink.org
Object relational mapper implementing JPA - http://www.hibernate.org
Java Persistence Api
Java application framework - http://www.springframework.org