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 not 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 help us when discovering interfaces
    that extend this one. Beyond that there's
    CrudRepository which provides some
    sophisticated functionality around CRUD for the entity being
    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 this 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 queries on the underlying datastore. With Spring Data declaring those queries becomes a four-step process:
Declare an interface extending
        Repository or one of its 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 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. 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 would rather be
        selective about the methods being exposed, 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
        Users by their email address.
The next thing we have to discuss is the definition of query methods. There are two main ways that the repository proxy is able to come up with the store specific query from the method name. The first option is to derive the query 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 that decides what actual query is created.
There are three strategies available 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, It might be the
        case that some of the strategies are not supported for specific
        datastores. 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 somewhere 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 CREATE
          and USE_DECLARED_QUERY. 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 the 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 as needed.
The query builder mechanism built into Spring Data repository
        infrastructure 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 expressions 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 also 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 define
          constraints by traversing nested properties. Assume
          Persons have Addresses
          with ZipCodes. 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).
Although this should work for most cases, there might be cases
          where the algorithm could select the wrong property. Suppose our
          Person class has an 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 the 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]](images/admons/note.png) | 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 package that Spring will 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 its sub packages for
        interfaces extending Repository or one
        of its sub-interfaces. For each interface found it will register the
        persistence 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 the use of wildcards, so that you can have a pattern
        of scanned packages.
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 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 interfaces ending in
            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
        programmatically 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 you to 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 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 autowiring entirely as it will be treated as any other Spring bean. If your custom implementation bean needs some special wiring you simply declare the bean and name it after the conventions just described. We will then pick up the custom bean by name rather than creating an 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]](images/admons/note.png) | Note | 
|---|---|
| If you're using automatic repository interface detection using
        the Spring namespace using the interface just as is will cause Spring
        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 repositories 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" />
This chapter documents a set of Spring Data extensions that enable Spring Data usage in a variety of contexts. Currently most of the integration is targeted towards Spring MVC.
Given you are developing a Spring MVC web applications you typically have to resolve domain class ids from URLs. By default it's your task to transform that request parameter or URL part into the domain class to hand it layers below then or execute business logic on the entities directly. This should look something like this:
@Controller @RequestMapping("/users") public class UserController { private final UserRepository userRepository; public UserController(UserRepository userRepository) { userRepository = userRepository; } @RequestMapping("/{id}") public String showUserForm(@PathVariable("id") Long id, Model model) { // Do null check for id User user = userRepository.findOne(id); // Do null check for user // Populate model return "user"; } }
First you pretty much have to declare a repository dependency for
      each controller to lookup the entity managed by the controller or
      repository respectively. Beyond that looking up the entity is
      boilerplate as well as it's always a findOne(…)
      call. Fortunately Spring provides means to register custom converting
      components that allow conversion between a String
      value to an arbitrary type.
For versions up to Spring 3.0 simple Java
        PropertyEditors had to be used. Thus,
        we offer a DomainClassPropertyEditorRegistrar,
        that will look up all Spring Data repositories registered in the
        ApplicationContext and register a
        custom PropertyEditor for the managed
        domain class
<bean class="….web.servlet.mvc.annotation.AnnotationMethodHandlerAdapter"> <property name="webBindingInitializer"> <bean class="….web.bind.support.ConfigurableWebBindingInitializer"> <property name="propertyEditorRegistrars"> <bean class="org.springframework.data.repository.support.DomainClassPropertyEditorRegistrar" /> </property> </bean> </property> </bean>
If you have configured Spring MVC like this you can turn your controller into the following that reduces a lot of the clutter and boilerplate.
@Controller @RequestMapping("/users") public class UserController { @RequestMapping("/{id}") public String showUserForm(@PathVariable("id") User user, Model model) { // Do null check for user // Populate model return "userForm"; } }
As of Spring 3.0 the
        PropertyEditor support is superseeded
        by a new conversion infrstructure that leaves all the drawbacks of
        PropertyEditors behind and uses a
        stateless X to Y conversion approach. We now ship with a
        DomainClassConverter that pretty much mimics
        the behaviour of
        DomainClassPropertyEditorRegistrar. To register
        the converter you have to declare
        ConversionServiceFactoryBean, register the
        converter and tell the Spring MVC namespace to use the configured
        conversion service:
<mvc:annotation-driven conversion-service="conversionService" /> <bean id="conversionService" class="….context.support.ConversionServiceFactoryBean"> <property name="converters"> <list> <bean class="org.springframework.data.repository.support.DomainClassConverter"> <constructor-arg ref="conversionService" /> </bean> </list> </property> </bean>
@Controller @RequestMapping("/users") public class UserController { // DI code omitted @RequestMapping public String showUsers(Model model, HttpServletRequest request) { int page = Integer.parseInt(request.getParameter("page")); int pageSize = Integer.parseInt(request.getParameter("pageSize")); model.addAttribute("users", userService.getUsers(pageable)); return "users"; } }
As you can see the naive approach requires the method to contain
      an HttpServletRequest parameter that has
      to be parsed manually. We even omitted an appropriate failure handling
      which would make the code even more verbose. The bottom line is that the
      controller actually shouldn't have to handle the functionality of
      extracting pagination information from the request. So we include a
      PageableArgumentResolver that will do the work
      for you.
<bean class="….web.servlet.mvc.annotation.AnnotationMethodHandlerAdapter"> <property name="customArgumentResolvers"> <list> <bean class="org.springframework.data.web.PageableArgumentResolver" /> </list> </property> </bean>
This configuration allows you to simplify controllers down to something like this:
@Controller @RequestMapping("/users") public class UserController { @RequestMapping public String showUsers(Model model, Pageable pageable) { model.addAttribute("users", userDao.readAll(pageable)); return "users"; } }
The PageableArgumentResolver will
      automatically resolve request parameters to build a
      PageRequest instance. By default it will expect
      the following structure for the request parameters:
Table 1.1. Request parameters evaluated by
        PageableArgumentResolver
| page | The page you want to retrieve | 
| page.size | The size of the page you want to retrieve | 
| page.sort | The property that should be sorted by | 
| page.sort.dir | The direction that should be used for sorting | 
In case you need multiple Pageables
      to be resolved from the request (for multiple tables e.g.) you can use
      Spring's @Qualifier annotation to
      distinguish one from another. The request parameters then have to be
      prefixed with ${qualifier}_. So a method signature like
      this:
public String showUsers(Model model, @Qualifier("foo") Pageable first, @Qualifier("bar") Pageable second) { … }
you'd have to populate foo_page and
      bar_page and the according subproperties.
The PageableArgumentResolver will use a
        PageRequest with the first page and a page size
        of 10 by default and will use that in case it can't resolve a
        PageRequest from the request (because of
        missing parameters e.g.). You can configure a global default on the
        bean declaration directly. In case you might need controller method
        specific defaults for the Pageable
        simply annotate the method parameter with
        @PageableDefaults and specify page and
        page size as annotation attributes:
public String showUsers(Model model, 
  @PageableDefaults(pageNumber = 0, value = 30) Pageable pageable) { … }
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 EntityManagerFactoryto be used
                with the repositories being detected by therepositorieselement. Usually used if multipleEntityManagerFactorybeans are
                used within the application. If not configured we will
                automatically lookup the singleEntityManagerFactoryconfigured
                in theApplicationContext. | 
| transaction-manager-ref | Explicitly wire tha PlatformTransactionManagerto
                be used with the repositories being detected by therepositorieselement. Usually only necessary if
                multiple transaction managers and/orEntityManagerFactorybeans have
                been configured. Default to a single definedPlatformTransactionManagerinside the currentApplicationContext. | 
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]](images/admons/note.png) | Note | 
|---|---|
| 
 | 
| ![[Note]](images/admons/note.png) | 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
    Specifications 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
    Specifications 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?
    Specifications 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 Specifications. 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 Specifications 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
      Specifications. 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]](images/admons/note.png) | 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]](images/admons/note.png) | 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 /> 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 Section 1.3.2.1, “Query lookup strategies”
            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