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Copyright © 2008-2014 The original authors.
Table of Contents
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The goal of Spring Data repository abstraction is to significantly reduce the amount of boilerplate code required to implement data access layers for various persistence stores.
| ![[Important]](images/important.png) | Important | 
|---|---|
| Spring Data repository documentation and your module This chapter explains the core concepts and interfaces of Spring Data repositories. The information in this chapter is pulled from the Spring Data Commons module. It uses the configuration and code samples for the Java Persistence API (JPA) module. Adapt the XML namespace declaration and the types to be extended to the equivalents of the particular module that you are using. Appendix A, Namespace reference covers XML configuration which is supported across all Spring Data modules supporting the repository API, Appendix B, Repository query keywords covers the query method keywords supported by the repository abstraction in general. For detailed information on the specific features of your module, consult the chapter on that module of this document. | 
The central interface in Spring Data repository abstraction is
    Repository (probably not that much of a
    surprise). It takes the domain class to manage as well as the id type of
    the domain class as type arguments. This interface acts primarily as a
    marker interface to capture the types to work with and to help you to
    discover interfaces that extend this one. The
    CrudRepository provides sophisticated CRUD
    functionality for the entity class that is being managed.
Example 1.1. CrudRepository interface
public interface CrudRepository<T, ID extends Serializable> extends Repository<T, ID> {<S extends T> S save(S 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. | 
| 
 | Indicates whether an entity with the given id exists. | 
| ![[Note]](images/note.png) | Note | 
|---|---|
| We also provide persistence technology-specific abstractions like
      e.g.  | 
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));
Standard CRUD functionality repositories usually have 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 subinterfaces
        and type it to the domain class and ID type that it will
        handle.
public interface PersonRepository extends Repository<User, Long> { … }
Declare query methods on the interface.
List<Person> findByLastname(String lastname);
Set up Spring to create proxy instances for those interfaces. Either via JavaConfig:
import org.springframework.data.jpa.repository.config.EnableJpaRepositories; @EnableJpaRepositories class Config {}
or via XML configuration:
<?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>
The JPA namespace is used in this example. If you are using the
        repository abstraction for any other store, you need to change this to
        the appropriate namespace declaration of your store module which
        should be exchanging jpa in favor of, for example,
        mongodb. Also, note that the JavaConfig variant doesn't
        configure a package explictly as the package of the annotated class is
        used by default. To customize the package to scan
Get the repository instance injected and use it.
public class SomeClient { @Autowired private PersonRepository repository; public void doSomething() { List<Person> persons = repository.findByLastname("Matthews"); } }
The sections that follow explain each step.
As a first step you define a domain class-specific repository
      interface. The interface must 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.
Typically, your repository interface will extend
        Repository,
        CrudRepository or
        PagingAndSortingRepository.
        Alternatively, if you do not want to extend Spring Data interfaces,
        you can also annotate your repository interface with
        @RepositoryDefinition. Extending
        CrudRepository exposes a complete set
        of methods to manipulate your entities. If you prefer to be selective
        about the methods being exposed, simply copy the ones you want to
        expose from CrudRepository into your
        domain repository.
| ![[Note]](images/note.png) | Note | 
|---|---|
| This allows you to define your own abstractions on top of the provided Spring Data Repositories functionality. | 
Example 1.3. Selectively exposing CRUD methods
@NoRepositoryBean 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 this first step you defined a common base interface for all
        your domain repositories and exposed
        findOne(…) as well as
        save(…).These methods will be routed into the
        base repository implementation of the store of your choice provided by
        Spring Data ,e.g. in the case if JPA
        SimpleJpaRepository, because they are matching
        the method signatures in
        CrudRepository. So the
        UserRepository will now be able to save
        users, and find single ones by id, as well as triggering a query to
        find Users by their email
        address.
| ![[Note]](images/note.png) | Note | 
|---|---|
| Note, that the intermediate repository interface is annotated
          with  | 
The repository proxy has two ways to derive a store-specific query from the method name. It can derive the query from the method name directly, or by using an manually defined query. Available options depend on the actual store. However, there's got to be an strategy that decides what actual query is created. Let's have a look at the available options.
The following strategies are available for the repository
        infrastructure to resolve the query. You can configure the strategy at
        the namespace through the query-lookup-strategy attribute
        in case of XML configuration or via the
        queryLookupStrategy attribute of the
        Enable${store}Repositories annotation in case
        of Java config. Some strategies may not be supported for particular
        datastores.
CREATE attempts to construct a store-specific
          query from the query method 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 the section called “Query creation”.
USE_DECLARED_QUERY tries to find a declared query
          and will throw an exception in case it can't find one. The query can
          be defined by an annotation somewhere or declared by other means.
          Consult the documentation of the specific store to find available
          options for that store. If the repository infrastructure does not
          find a declared query for the method at bootstrap time, it
          fails.
CREATE_IF_NOT_FOUND combines CREATE
          and USE_DECLARED_QUERY. It looks up a declared query
          first, and if no declared query is found, it creates a custom method
          name-based query. This is the default lookup strategy and thus will
          be used if you do not 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 for building constraining queries over
        entities of the repository. The mechanism strips the prefixes
        find…By, read…By, query…By,
        count…By, and get…By from the method and
        starts parsing the rest of it. The introducing clause can contain
        further expressions such as a Distinct to set a distinct
        flag on the query to be created. However, the first By
        acts as delimiter to indicate the start of the actual criteria. 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); // Enables the distinct flag for the query List<Person> findDistinctPeopleByLastnameOrFirstname(String lastname, String firstname); List<Person> findPeopleDistinctByLastnameOrFirstname(String lastname, String firstname); // Enabling ignoring case for an individual property List<Person> findByLastnameIgnoreCase(String lastname); // Enabling ignoring case for all suitable properties List<Person> findByLastnameAndFirstnameAllIgnoreCase(String lastname, String firstname); // Enabling static ORDER BY for a query List<Person> findByLastnameOrderByFirstnameAsc(String lastname); List<Person> findByLastnameOrderByFirstnameDesc(String lastname); }
The actual result of parsing the method depends on the persistence store for which you create the query. However, there are some general things to notice.
The expressions are usually property traversals combined
              with operators that can be concatenated. You can combine
              property expressions with AND and OR.
              You also get support for operators such as
              Between, LessThan,
              GreaterThan, Like for the
              property expressions. The supported operators can vary by
              datastore, so consult the appropriate part of your reference
              documentation.
The method parser supports setting an
              IgnoreCase flag for individual properties, for
              example,findByLastnameIgnoreCase(…)) or
              for all properties of a type that support ignoring case (usually
              Strings, for example,
              findByLastnameAndFirstnameAllIgnoreCase(…)).
              Whether ignoring cases is supported may vary by store, so
              consult the relevant sections in the reference documentation for
              the store-specific query method.
You can apply static ordering by appending an
              OrderBy clause to the query method that references
              a property and by providing a sorting direction
              (Asc or Desc). To create a query
              method that supports dynamic sorting, see the section called “Special parameter handling”.
Property expressions can refer only to a direct property of the
        managed entity, as shown in the preceding example. At query creation
        time you already make sure that the parsed property is 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);
creates the property traversal x.address.zipCode.
        The resolution algorithm starts with interpreting the entire part
        (AddressZipCode) as the property and checks the
        domain class for a property with that name (uncapitalized). If the
        algorithm succeeds it uses that property. If not, the algorithm splits
        up the source at the camel case parts from the right side into a head
        and a tail and tries to find the corresponding property, in our
        example, AddressZip and Code. If
        the algorithm finds a property with that head it takes the tail and
        continue building the tree down from there, splitting the tail up in
        the way just described. If the first split does not match, the
        algorithm move the split point to the left
        (Address, ZipCode) and
        continues.
Although this should work for most cases, it is possible for the
        algorithm to select the wrong property. Suppose the
        Person class has an addressZip
        property as well. The 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 handle parameters in your query you simply define method
        parameters as already seen in the examples above. Besides that the
        infrastructure will recognize certain specific types like
        Pageable and
        Sort 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 an
        org.springframework.data.domain.Pageable instance to the
        query method to dynamically add paging to your statically defined
        query. Sorting options are handled through the
        Pageable instance too. If you only need
        sorting, simply add an
        org.springframework.data.domain.Sort parameter to your
        method. As you also can see, simply returning a
        List is possible as well. In this case
        the additional metadata required to build the actual
        Page instance will not be created
        (which in turn means that the additional count query that would have
        been necessary not being issued) but rather simply restricts the query
        to look up only the given range of entities.
| ![[Note]](images/note.png) | Note | 
|---|---|
| To find out how many pages you get for a query entirely you have to trigger an additional count query. By default this query will be derived from the query you actually trigger. | 
In this section you create instances and bean definitions for the repository interfaces defined. One way to do so is using the Spring namespace that is shipped with each Spring Data module that supports the repository mechanism although we generally recommend to use the Java-Config style configuration.
Each Spring Data module includes a repositories element that allows you to simply define a base package that Spring scans 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 the preceding example, Spring is instructed to scan
        com.acme.repositories and all its subpackages for
        interfaces extending Repository or one
        of its subinterfaces. For each interface found, the infrastructure
        registers the persistence technology-specific
        FactoryBean to create the appropriate
        proxies that handle invocations of the query methods. Each bean is
        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 wildcards, so that you can
        define a pattern of scanned packages.
By default the infrastructure picks up every interface
          extending the persistence technology-specific
          Repository subinterface located under
          the configured base package and creates a bean instance for it.
          However, you might want more fine-grained control over which
          interfaces bean instances get created for. To do this you use
          <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.
For example, 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 example excludes all interfaces ending in
            SomeRepository from being
            instantiated.
The repository infrastructure can also be triggered using a
        store-specific
        @Enable${store}Repositories annotation
        on a JavaConfig class. For an introduction into Java-based
        configuration of the Spring container, see the reference
        documentation.[1]
A sample configuration to enable Spring Data repositories looks something like this.
Example 1.7. Sample annotation based repository configuration
@Configuration
@EnableJpaRepositories("com.acme.repositories")
class ApplicationConfiguration {
  @Bean
  public EntityManagerFactory entityManagerFactory() {
    // …
  }
}| ![[Note]](images/note.png) | Note | 
|---|---|
| The sample uses the JPA-specific annotation, which you would
          change according to the store module you actually use. The same
          applies to the definition of the
           | 
You can also use the repository infrastructure outside of a
        Spring container, e.g. in CDI environments. You still need some Spring
        libraries in your classpath, but generally you can set up repositories
        programmatically as well. The Spring Data modules that provide
        repository support ship a persistence technology-specific
        RepositoryFactory that you can use as
        follows.
Example 1.8. 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 first define an interface and an implementation for the custom functionality. Use the repository interface you provided to extend the custom interface.
Example 1.9. Interface for custom repository functionality
interface UserRepositoryCustom { public void someCustomMethod(User user); }
Example 1.10. Implementation of custom repository functionality
class UserRepositoryImpl implements UserRepositoryCustom { public void someCustomMethod(User user) { // Your custom implementation } }
| ![[Note]](images/note.png) | Note | 
|---|---|
| The implementation itself does not depend on Spring Data and
            can be a regular Spring bean. So you can use standard dependency
            injection behavior to inject references to other beans like a
             | 
Example 1.11. 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. Doing so combines the CRUD and custom functionality and makes it available to clients.
If you use namespace configuration, the repository
        infrastructure tries to autodetect custom implementations by scanning
        for classes below the package we found a repository in. These classes
        need to follow the naming convention of appending the namespace
        element's attribute repository-impl-postfix to the found
        repository interface name. This postfix defaults to
        Impl.
Example 1.12. Configuration example
<repositories base-package="com.acme.repository" /> <repositories base-package="com.acme.repository" repository-impl-postfix="FooBar" />
The first configuration example will try to look up a class
        com.acme.repository.UserRepositoryImpl to act
        as custom repository implementation, whereas the second example will
        try to lookup
        com.acme.repository.UserRepositoryFooBar.
The preceding approach works well if your custom implementation uses annotation-based configuration and autowiring only, as it will be treated as any other Spring bean. If your custom implementation bean needs special wiring, you simply declare the bean and name it after the conventions just described. The infrastructure will then refer to the manually defined bean definition by name instead of creating one itself.
Example 1.13. Manual wiring of custom implementations (I)
<repositories base-package="com.acme.repository" /> <beans:bean id="userRepositoryImpl" class="…"> <!-- further configuration --> </beans:bean>
The preceding approach is not feasible when you want to add a single method to all your repository interfaces.
To add custom behavior to all repositories, you first add an intermediate interface to declare the shared behavior.
Example 1.14. An interface declaring custom shared behavior
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 instead of the
          Repository interface to include the
          functionality declared.
Next, create an implementation of the intermediate interface that extends the persistence technology-specific repository base class. This class will then act as a custom base class for the repository proxies.
Example 1.15. Custom repository base class
public class MyRepositoryImpl<T, ID extends Serializable> extends SimpleJpaRepository<T, ID> implements MyRepository<T, ID> { private EntityManager entityManager; // There are two constructors to choose from, either can be used. public MyRepositoryImpl(Class<T> domainClass, EntityManager entityManager) { super(domainClass, entityManager); // This is the recommended method for accessing inherited class dependencies. this.entityManager = entityManager; } public void sharedCustomMethod(ID id) { // implementation goes here } }
The default behavior of the Spring <repositories
          /> namespace is to provide an implementation for all
          interfaces that fall under the base-package. This means
          that if left in its current state, an implementation instance of
          MyRepository will be created by
          Spring. This is of course not desired as it is just supposed to act
          as an intermediary between Repository
          and the actual repository interfaces you want to define for each
          entity. To exclude an interface that extends
          Repository from being instantiated as
          a repository instance, you can either annotate it with
          @NoRepositoryBean or move it outside
          of the configured base-package.
Then create a custom repository factory to replace the default
          RepositoryFactoryBean that will in turn
          produce a custom RepositoryFactory. The new
          repository factory will then provide your
          MyRepositoryImpl as the implementation of any
          interfaces that extend the Repository
          interface, replacing the SimpleJpaRepository
          implementation you just extended.
Example 1.16. Custom repository factory bean
public class MyRepositoryFactoryBean<R extends JpaRepository<T, I>, T, I extends Serializable> extends JpaRepositoryFactoryBean<R, T, I> { protected RepositoryFactorySupport createRepositoryFactory(EntityManager entityManager) { return new MyRepositoryFactory(entityManager); } private static class MyRepositoryFactory<T, I extends Serializable> extends JpaRepositoryFactory { private EntityManager entityManager; public MyRepositoryFactory(EntityManager entityManager) { super(entityManager); this.entityManager = entityManager; } protected Object getTargetRepository(RepositoryMetadata metadata) { return new MyRepositoryImpl<T, I>((Class<T>) metadata.getDomainClass(), entityManager); } protected Class<?> getRepositoryBaseClass(RepositoryMetadata metadata) { // The RepositoryMetadata can be safely ignored, it is used by the JpaRepositoryFactory //to check for QueryDslJpaRepository's which is out of scope. return MyRepository.class; } } }
Finally, 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 section 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.
| ![[Note]](images/note.png) | Note | 
|---|---|
| This section contains the documentation for the Spring Data web support as it is implemented as of Spring Data Commons in the 1.6 range. As it the newly introduced support changes quite a lot of things we kept the documentation of the former behavior in Section 1.4.3, “Legacy web support”. Also note that the JavaConfig support introduced in Spring Data Commons 1.6 requires Spring 3.2 due to some issues with JavaConfig and overridden methods in Spring 3.1. | 
Spring Data modules ships with a variety of web support if the module supports the repository programming model. The web related stuff requires Spring MVC JARs on the classpath, some of them even provide integration with Spring HATEOAS.
[2]In general, the integration support is enabled by using the
      @EnableSpringDataWebSupport annotation in
      your JavaConfig configuration class.
Example 1.18. Enabling Spring Data web support
@Configuration @EnableWebMvc @EnableSpringDataWebSupport class WebConfiguration { }
The @EnableSpringDataWebSupport annotation registers a few components we will discuss in a bit. It will also detect Spring HATEOAS on the classpath and register integration components for it as well if present.
Alternatively, if you are using XML configuration, register either SpringDataWebSupport or HateoasAwareSpringDataWebSupport as Spring beans:
Example 1.19. Enabling Spring Data web support in XML
<bean class="org.springframework.data.web.config.SpringDataWebConfiguration" /> <!-- If you're using Spring HATEOAS as well register this one *instead* of the former --> <bean class="org.springframework.data.web.config.HateoasAwareSpringDataWebConfiguration" />
The configuration setup shown above will register a few basic components:
A DomainClassConverter to enable
            Spring MVC to resolve instances of repository managed domain
            classes from request parameters or path variables.
HandlerMethodArgumentResolver
            implementations to let Spring MVC resolve
            Pageable and
            Sort instances from request
            parameters.
The DomainClassConverter allows you to
          use domain types in your Spring MVC controller method signatures
          directly, so that you don't have to manually lookup the instances
          via the repository:
Example 1.20. A Spring MVC controller using domain types in method signatures
@Controller @RequestMapping("/users") public class UserController { @RequestMapping("/{id}") public String showUserForm(@PathVariable("id") User user, Model model) { model.addAttribute("user", user); return "userForm"; } }
As you can see the method receives a User instance directly
          and no further lookup is necessary. The instance can be resolved by
          letting Spring MVC convert the path variable into the id type of the
          domain class first and eventually access the instance through
          calling findOne(…) on the repository
          instance registered for the domain type.
| ![[Note]](images/note.png) | Note | 
|---|---|
| Currently the repository has to implement
             | 
The configuration snippet above also registers a
          PageableHandlerMethodArgumentResolver as well
          as an instance of
          SortHandlerMethodArgumentResolver. The
          registration enables Pageable and
          Sort being valid controller method
          arguments
Example 1.21. Using Pageable as controller method argument
@Controller @RequestMapping("/users") public class UserController { @Autowired UserRepository repository; @RequestMapping public String showUsers(Model model, Pageable pageable) { model.addAttribute("users", repository.findAll(pageable)); return "users"; } }
This method signature will cause Spring MVC try to derive a
          Pageable instance from the request
          parameters using the following default configuration:
Table 1.1. Request parameters evaluated for Pageable instances
| page | Page you want to retrieve. | 
| size | Size of the page you want to retrieve. | 
| sort | Properties that should be sorted by in the format property,property(,ASC|DESC). Default sort
                  direction is ascending. Use multiplesortparameters if you want to switch directions, e.g.?sort=firstname&sort=lastname,asc. | 
To customize this behavior extend either
          SpringDataWebConfiguration or the
          HATEOAS-enabled equivalent and override the
          pageableResolver() or
          sortResolver() methods and import your
          customized configuration file instead of using the
          @Enable-annotation.
In case you need multiple
          Pageables or
          Sorts to be resolved from the request (for
          multiple tables, for example) you can use Spring's
          @Qualifier annotation to distinguish
          one from another. The request parameters then have to be prefixed
          with ${qualifier}_. So for a method signature like
          this:
public String showUsers(Model model, @Qualifier("foo") Pageable first, @Qualifier("bar") Pageable second) { … }
you have to populate foo_page and
          bar_page etc.
The default Pageable handed
          into the method is equivalent to a new PageRequest(0,
          20) but can be customized using the
          @PageableDefaults annotation on the
          Pageable parameter.
Spring HATEOAS ships with a representation model class PagedResources that allows enrichting the content of a Page instance with the necessary Page metadata as well as links to let the clients easily navigate the pages. The conversion of a Page to a PagedResources is done by an implementation of the Spring HATEOAS ResourceAssembler interface, the PagedResourcesAssembler.
Example 1.22. Using a PagedResourcesAssembler as controller method argument
@Controller class PersonController { @Autowired PersonRepository repository; @RequestMapping(value = "/persons", method = RequestMethod.GET) HttpEntity<PagedResources<Person>> persons(Pageable pageable, PagedResourcesAssembler assembler) { Page<Person> persons = repository.findAll(pageable); return new ResponseEntity<>(assembler.toResources(persons), HttpStatus.OK); } }
Enabling the configuration as shown above allows the
        PagedResourcesAssembler to be used as
        controller method argument. Calling
        toResources(…) on it will cause the
        following:
The content of the Page will
            become the content of the PagedResources
            instance.
The PagedResources will get a
            PageMetadata instance attached populated
            with information form the Page and
            the underlying PageRequest.
The PagedResources gets
            prev and next links attached depending
            on the page's state. The links will point to the URI the method
            invoked is mapped to. The pagination parameters added to the
            method will match the setup of the
            PageableHandlerMethodArgumentResolver to
            make sure the links can be resolved later on.
Assume we have 30 Person instances in the
        database. You can now trigger a request GET
        http://localhost:8080/persons and you'll see something similar
        to this:
{ "links" : [ { "rel" : "next", 
                "href" : "http://localhost:8080/persons?page=1&size=20 } 
  ], 
  "content" : [ 
     … // 20 Person instances rendered here
  ], 
  "pageMetadata" : { 
    "size" : 20, 
    "totalElements" : 30, 
    "totalPages" : 2, 
    "number" : 0
  } 
}You see that the assembler produced the correct URI and also
        picks up the default configuration present to resolve the parameters
        into a Pageable for an upcoming
        request. This means, if you change that configuration, the links will
        automatically adhere to the change. By default the assembler points to
        the controller method it was invoked in but that can be customized by
        handing in a custom Link to be used as base to
        build the pagination links to overloads of the
        PagedResourcesAssembler.toResource(…) method.
If you work with the Spring JDBC module, you probably are familiar
      with the support to populate a DataSource
      using SQL scripts. A similar abstraction is available on the
      repositories level, although it does not use SQL as the data definition
      language because it must be store-independent. Thus the populators
      support XML (through Spring's OXM abstraction) and JSON (through
      Jackson) to define data with which to populate the repositories.
Assume you have a file data.json with the
      following content:
Example 1.23. Data defined in JSON
[ { "_class" : "com.acme.Person",
 "firstname" : "Dave",
  "lastname" : "Matthews" },
  { "_class" : "com.acme.Person",
 "firstname" : "Carter",
  "lastname" : "Beauford" } ]You can easily populate your repositories by using the populator
      elements of the repository namespace provided in Spring Data Commons. To
      populate the preceding data to your
      PersonRepository , do the
      following:
Example 1.24. Declaring a Jackson repository populator
<?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:repository="http://www.springframework.org/schema/data/repository" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/data/repository http://www.springframework.org/schema/data/repository/spring-repository.xsd"> <repository:jackson-populator location="classpath:data.json" /> </beans>
This declaration causes the data.json file to
      be read and deserialized via a Jackson
      ObjectMapper. The type to which the JSON object will be unmarshalled to will
      be determined by inspecting the _class attribute of the
      JSON document. The infrastructure will eventually select the appropriate
      repository to handle the object just deserialized.
To rather use XML to define the data the repositories shall be
      populated with, you can use the unmarshaller-populator
      element. You configure it to use one of the XML marshaller options
      Spring OXM provides you with. See the Spring reference
      documentation for details.
Example 1.25. Declaring an unmarshalling repository populator (using JAXB)
<?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:repository="http://www.springframework.org/schema/data/repository" xmlns:oxm="http://www.springframework.org/schema/oxm" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/data/repository http://www.springframework.org/schema/data/repository/spring-repository.xsd http://www.springframework.org/schema/oxm http://www.springframework.org/schema/oxm/spring-oxm.xsd"> <repository:unmarshaller-populator location="classpath:data.json" unmarshaller-ref="unmarshaller" /> <oxm:jaxb2-marshaller contextPath="com.acme" /> </beans>
Given you are developing a Spring MVC web application you typically have to resolve domain class ids from URLs. By default your task is to transform that request parameter or URL part into the domain class to hand it to layers below then or execute business logic on the entities directly. This would look something like this:
@Controller @RequestMapping("/users") public class UserController { private final UserRepository userRepository; @Autowired public UserController(UserRepository userRepository) { Assert.notNull(repository, "Repository must not be null!"); 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 model.addAttribute("user", user); return "user"; } }
First you declare a repository dependency for each controller to
        look up the entity managed by the controller or repository
        respectively. Looking up the entity is boilerplate as well, as it's
        always a findOne(…) call. Fortunately Spring
        provides means to register custom components that allow conversion
        between a String value to an arbitrary
        type.
For Spring versions before 3.0 simple Java
          PropertyEditors had to be used. To
          integrate with that, Spring Data offers a
          DomainClassPropertyEditorRegistrar, which
          looks up all Spring Data repositories registered in the
          ApplicationContext and registers 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 as in the preceding example, you can configure your controller as follows, which 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) { model.addAttribute("user", user); return "userForm"; } }
In Spring 3.0 and later the
          PropertyEditor support is superseded
          by a new conversion infrastructure that eliminates the drawbacks of
          PropertyEditors and uses a stateless
          X to Y conversion approach. Spring Data now ships with a
          DomainClassConverter that mimics the behavior
          of DomainClassPropertyEditorRegistrar. To
          configure, simply declare a bean instance and pipe the
          ConversionService being used into its
          constructor:
<mvc:annotation-driven conversion-service="conversionService" /> <bean class="org.springframework.data.repository.support.DomainClassConverter"> <constructor-arg ref="conversionService" /> </bean>
If you are using JavaConfig, you can simply extend Spring
          MVC's WebMvcConfigurationSupport and hand the
          FormatingConversionService that the
          configuration superclass provides into the
          DomainClassConverter instance you
          create.
class WebConfiguration extends WebMvcConfigurationSupport { // Other configuration omitted @Bean public DomainClassConverter<?> domainClassConverter() { return new DomainClassConverter<FormattingConversionService>(mvcConversionService()); } }
When working with pagination in the web layer you usually have
        to write a lot of boilerplate code yourself to extract the necessary
        metadata from the request. The less desirable approach shown in the
        example below requires the method to contain an
        HttpServletRequest parameter that has
        to be parsed manually. This example also omits appropriate failure
        handling, which would make the code even more verbose.
@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")); Pageable pageable = new PageRequest(page, pageSize); model.addAttribute("users", userService.getUsers(pageable)); return "users"; } }
The bottom line is that the controller should not have to handle
        the functionality of extracting pagination information from the
        request. So Spring Data ships with a
        PageableHandlerArgumentResolver that will do
        the work for you. The Spring MVC JavaConfig support exposes a
        WebMvcConfigurationSupport helper class to
        customize the configuration as follows:
@Configuration
public class WebConfig extends WebMvcConfigurationSupport {
  @Override
  public void configureMessageConverters(List<HttpMessageConverter<?>> converters) {
    converters.add(new PageableHandlerArgumentResolver());
  }
}If you're stuck with XML configuration you can register the resolver as follows:
<bean class="….web.servlet.mvc.method.annotation.RequestMappingHandlerAdapter"> <property name="customArgumentResolvers"> <list> <bean class="org.springframework.data.web.PageableHandlerArgumentResolver" /> </list> </property> </bean>
When using Spring 3.0.x versions use the
        PageableArgumentResolver instead. Once you've
        configured the resolver with Spring MVC it 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", userRepository.findAll(pageable)); return "users"; } }
The PageableArgumentResolver
        automatically resolves request parameters to build a
        PageRequest instance. By default it expects the
        following structure for the request parameters.
Table 1.2. Request parameters evaluated by
          PageableArgumentResolver
| page | Page you want to retrieve. | 
| page.size | Size of the page you want to retrieve. | 
| page.sort | Property that should be sorted by. | 
| page.sort.dir | Direction that should be used for sorting. | 
In case you need multiple
        Pageables to be resolved from the
        request (for multiple tables, for example) you can use Spring's
        @Qualifier annotation to distinguish
        one from another. The request parameters then have to be prefixed with
        ${qualifier}_. So for a method signature like
        this:
public String showUsers(Model model, @Qualifier("foo") Pageable first, @Qualifier("bar") Pageable second) { … }
you have to populate foo_page and
        bar_page and the related subproperties.
The PageableArgumentResolver will use a
          PageRequest with the first page and a page
          size of 10 by default. It will use that value if it cannot resolve a
          PageRequest from the request (because of
          missing parameters, for example). You can configure a global default
          on the bean declaration directly. If you might need controller
          method specific defaults for the
          Pageable, annotate the method
          parameter with @PageableDefaults and
          specify page (through pageNumber), page size (through
          value), sort (list of properties to sort
          by), and sortDir (the direction to sort by) as
          annotation attributes:
public String showUsers(Model model, @PageableDefaults(pageNumber = 0, value = 30) Pageable pageable) { … }
[1] JavaConfig in the Spring reference documentation - http://static.springsource.org/spring/docs/3.1.x/spring-framework-reference/html/beans.html#beans-java
[2] Spring HATEOAS - https://github.com/SpringSource/spring-hateoas
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 1.2.3, “Creating repository instances”. Beyond that it
      activates persistence exception translation for all beans annotated with
      @Repository to let exceptions being
      thrown by the JPA persistence 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
        detailed 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 the 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. | 
Note that we require a
        PlatformTransactionManager bean named
        transactionManager to be present if no explicit
        transaction-manager-ref is defined.
The Spring Data JPA repositories support cannot only be activated through an XML namespace but also using an annotation through JavaConfig.
Example 2.2. Spring Data JPA repositories using JavaConfig
@Configuration @EnableJpaRepositories @EnableTransactionManagement class ApplicationConfig { @Bean public DataSource dataSource() { EmbeddedDatabaseBuilder builder = new EmbeddedDatabaseBuilder(); return builder.setType(EmbeddedDatabaseType.HSQL).build(); } @Bean public EntityManagerFactory entityManagerFactory() { HibernateJpaVendorAdapter vendorAdapter = new HibernateJpaVendorAdapter(); vendorAdapter.setGenerateDdl(true); LocalContainerEntityManagerFactoryBean factory = new LocalContainerEntityManagerFactoryBean(); factory.setJpaVendorAdapter(vendorAdapter); factory.setPackagesToScan("com.acme.domain"); factory.setDataSource(dataSource()); factory.afterPropertiesSet(); return factory.getObject(); } @Bean public PlatformTransactionManager transactionManager() { JpaTransactionManager txManager = new JpaTransactionManager(); txManager.setEntityManagerFactory(entityManagerFactory()); return txManager; } }
The just shown configuration class sets up an embedded HSQL
      database using the EmbeddedDatabaseBuilder API of
      spring-jdbc. We then set up a
      EntityManagerFactory and use Hibernate as
      sample persistence provider. The last infrastructure component declared
      here is the JpaTransactionManager. We eventually
      activate Spring Data JPA repositories using the
      @EnableJpaRepositories annotation which
      essentially carries the same attributes as the XML namespace does. If no
      base package is configured it will use the one the configuration class
      resides in.
Saving an entity can be performed via the
      CrudRepository.save(…)-Method. It will persist or merge the
      given entity using the underlying JPA
      EntityManager. If the entity has not been
      persisted yet Spring Data JPA will save the entity via a call to the
      entityManager.persist(…)-Method, otherwise the
      entityManager.merge(…)-Method will be called.
Spring Data JPA offers the following strategies to detect whether an entity is new or not:
Table 2.2. Options for detection whether an entity is new in Spring Data JPA
| Id-Property inspection (default) | By default Spring Data JPA inspects the Id-Property of
                the given Entity. If the Id-Property is null,
                then the entity will be assumed as new, otherwise as not
                new. | 
| Implementing Persistable | If an entity implements the Persistableinterface, Spring
                Data JPA will delegate the new-detection to theisNew- Method of the Entity. See the
                JavaDoc
                for details. | 
| Implementing EntityInformation | One can customize the EntityInformationabstraction
                used in theSimpleJpaRepositoryimplementation by creating a subclass of
                JpaRepositoryFactoryand overriding thegetEntityInformation-Method
                accordingly. One then has to register the custom
                implementation ofJpaRepositoryFactoryas a Spring bean. Note that this should be rarely necessary.
                See the JavaDoc
                for details. | 
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 2.3.3, “Using JPA NamedQueries” for more information) or
        rather annotate your query method with
        @Query (see Section 2.3.4, “Using @Query” for details).
Generally the query creation mechanism for JPA works as described in Section 1.2, “Query methods”. Here's a short example of what a JPA query method translates into:
Example 2.3. 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 ???. Here's an overview of the keywords supported for JPA and what a method containing that keyword essentially translates to.
Table 2.3. 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 | 
| Is,Equals | findByFirstname,findByFirstnameIs,findByFirstnameEquals | … where x.firstname = 1? | 
| Between | findByStartDateBetween | … where x.startDate between 1? and
                ?2 | 
| LessThan | findByAgeLessThan | … where x.age < ?1 | 
| LessThanEqual | findByAgeLessThanEqual | … where x.age <= ?1 | 
| GreaterThan | findByAgeGreaterThan | … where x.age > ?1 | 
| GreaterThanEqual | findByAgeGreaterThanEqual | … where x.age >= ?1 | 
| After | findByStartDateAfter | … where x.startDate > ?1 | 
| Before | findByStartDateBefore | … where x.startDate < ?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 | 
| StartingWith | findByFirstnameStartingWith | … where x.firstname like ?1(parameter
                bound with appended%) | 
| EndingWith | findByFirstnameEndingWith | … where x.firstname like ?1(parameter
                bound with prepended%) | 
| Containing | findByFirstnameContaining | … where x.firstname like ?1(parameter
                bound wrapped in%) | 
| 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 | 
| True | findByActiveTrue() | … where x.active = true | 
| False | findByActiveFalse() | … where x.active = false | 
| IgnoreCase | findByFirstnameIgnoreCase | … where UPPER(x.firstame) = UPPER(?1) | 
| ![[Note]](images/note.png) | Note | 
|---|---|
| 
 | 
| ![[Note]](images/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 2.4. 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 2.5. 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 2.6. 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 2.7. 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); }
The query execution mechanism for manually defined queries using
        @Query allow the definition of advanced
        LIKE expressions inside the query definition.
Example 2.8. Advanced LIKE expressions in
          @Query
public interface UserRepository extends JpaRepository<User, Long> { @Query("select u from User u where u.firstname like %?1") List<User> findByFirstnameEndsWith(String firstname); }
In the just shown sample LIKE delimiter character
        % is recognized and the query transformed into a valid
        JPQL query (removing the %). Upon query execution the
        parameter handed into the method call gets augmented with the
        previously recognized LIKE pattern.
The @Query annotation allows to
        execute native queries by setting the nativeQuery flag to
        true. Note, that we currently don't support execution of pagination or
        dynamic sorting for native queries as we'd have to manipulate the
        actual query declared and we cannot do this reliably for native
        SQL.
Example 2.9. Declare a native query at the query method using
          @Query
public interface UserRepository extends JpaRepository<User, Long> { @Query(value = "SELECT * FROM USERS WHERE EMAIL_ADDRESS = ?0", nativeQuery = true) 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 2.10. 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.
As of Spring Data JPA Release 1.4 we support the usage of
      restricted SpEL template expressions in manually defined queries via
      @Query. Upon query execution these expressions are
      evaluated against a predefined set of variables. We support the
      following list of variables to be used in a manual query.
Table 2.4. Supported variables inside SpEL based query templates
| Variable | Usage | Description | 
|---|---|---|
| entityName | select x from #{#entityName} x | Inserts the entityName of the domain type associated
                with the given Repository. The entityNameis
                resolved as follows: If the domain type has set the name
                property on the@Entityannotation then it will
                be used. Otherwise the simple class-name of the domain type
                will be used. | 
The following example demonstrates one use case for the
      #{#entityName} expression in a query string where you want
      to define a repository interface with a query method with a manually
      defined query. In order not to have to state the actual entity name in
      the query string of a @Query annotation one can use the
      #{#entityName} Variable.
Example 2.11. Using SpEL expressions in Repository query methods - entityName
@Entity public class User { @Id @GeneratedValue Long id; String lastname; } public interface UserRepository extends JpaRepository<User,Long> { @Query("select u from #{#entityName} u where u.lastname = ?1") List<User> findByLastname(String lastname); }
Of course you could have just used User in
      the query declaration directly but that would require you to change the
      query as well. The reference to #entityName will pick up
      potential future remappings of the User class to
      a different entity name (e.g. by using @Entity(name =
      "MyUser").
Another use case for the #{#entityName} expression in
      a query string is if you want to define a generic repository interface
      with specialized repository interfaces for a concrete domain type. In
      order not to have to repeat the definition of custom query methods on
      the concrete interfaces you can use the entity name expression in the
      query string of the @Query annotation in the generic
      repository interface.
Example 2.12. Using SpEL expressions in Repository query methods - entityName with inheritance
@MappedSuperclass public abstract class AbstractMappedType { … String attribute } @Entity public class ConcreteType extends AbstractMappedType { … } @NoRepositoryBean public interface MappedTypeRepository<T extends AbstractMappedType> extends Repository<T, Long> { @Query("select t from #{#entityName} t where t.attribute = ?1") List<T> findAllByAttribute(String attribute); } public interface ConcreteRepository extends MappedTypeRepository<ConcreteType> { … }
In the example the interface MappedTypeRepository is
      the common parent interface for a few domain types extending
      AbstractMappedType. It also defines the generic
      method findAllByAttribute(…) which can be used
      on instances of the specialized repository interfaces. If you now invoke
      findByAllAttribute(…) on
      ConcreteRepository the query being
      executed will be select t from ConcreteType t where t.attribute =
      ?1.
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 Section 1.3, “Custom implementations for Spring Data repositories”. 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 2.13. 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 do not
      automatically clear it (see JavaDoc of
      EntityManager.clear()
      for details) since this will effectively drop all non-flushed changes
      still pending in the EntityManager. If
      you wish the EntityManager to be cleared
      automatically you can set @Modifying
      annotation's clearAutomatically attribute to
      true.
To apply JPA QueryHints to the
      queries declared in your repository interface you can use the
      QueryHints annotation. It takes an array
      of JPA QueryHint annotations plus a
      boolean flag to potentially disable the hints applied to the addtional
      count query triggered when applying pagination.
Example 2.14. Using QueryHints with a repository method
public interface UserRepository extends Repository<User, Long> { @QueryHints(value = { @QueryHint(name = "name", value = "value")}, forCounting = false) Page<User> findByLastname(String lastname, Pageable pageable); }
The just shown declaration would apply the configured
        QueryHint for that actually query but
        omit applying it to the count query triggered to calculate the total
        number of pages.
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.
For example, the findAll method will return all
    entities that match the specification:
List<T> findAll(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 2.15. Specifications for a Customer
public class CustomerSpecs { public static Specification<Customer> isLongTermCustomer() { return new Specification<Customer>() { public Predicate toPredicate(Root<Customer> 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>() { public 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. The
    Customer_ type is a metamodel type generated using
    the JPA Metamodel generator (see the Hibernate
    implementation's documentation for example). So the expression
    Customer_.createdAt is asuming the
    Customer having a createdAt attribute
    of type Date. 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 2.16. 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 2.17. Combined Specifications
MonetaryAmount amount = new MonetaryAmount(200.0, Currencies.DOLLAR); List<Customer> customers = customerRepository.findAll( 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 2.18. 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 2.19. 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.findAll()) { 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 /> or use 
      @EnableTransactionManagement 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 2.20. 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/note.png) | Note | 
|---|---|
| It's definitely reasonable to use transactions for read only
        queries and we can mark them as such by setting the
         | 
To specify the lock mode to be used the
    @Lock annotation can be used on query
    methods:
Example 2.21. Defining lock metadata on query methods
interface UserRepository extends Repository<User, Long> { // Plain query method @Lock(LockModeType.READ) List<User> findByLastname(String lastname); }
This method declaration will cause the query being triggered to be
    equipped with the LockModeType
    READ. You can also define locking for CRUD methods by
    redeclaring them in your repository interface and adding the
    @Lock annotation:
Example 2.22. Defining lock metadata on CRUD methods
interface UserRepository extends Repository<User, Long> { // Redeclaration of a CRUD method @Lock(LockModeType.READ); List<User> findAll(); }
Spring Data provides sophisticated support to transparently keep track of who created or changed an entity and the point in time this happened. To benefit from that functionality you have to equip your entity classes with auditing metadata that can be defined either using annotations or by implementing an interface.
We provide @CreatedBy,
    @LastModifiedBy to capture the user who
    created or modified the entity as well as
    @CreatedDate and
    @LastModifiedDate to capture the point in
    time this happened.
Example 2.23. An audited entity
class Customer { @CreatedBy private User user; @CreatedDate private DateTime createdDate; // … further properties omitted }
As you can see, the annotations can be applied selectively,
    depending on which information you'd like to capture. For the annotations
    capturing the points in time can be used on properties of type
    org.joda.time.DateTime,
    java.util.Date as well as
    long/Long. 
In case you don't want to use annotations to define auditing
    metadata you can let your domain class implement the
    Auditable interface. It exposes setter
    methods for all of the auditing properties. 
There's also a convenience base class
    AbstractAuditable which you can extend to
    avoid the need to manually implement the interface methods. Be aware that
    this increases the coupling of your domain classes to Spring Data which
    might be something you want to avoid. Usually the annotation based way of
    defining auditing metadata is preferred as it is less invasive and more
    flexible.
In case you use either @CreatedBy or
    @LastModifiedBy, the auditing
    infrastructure somehow needs to become aware of the current principal. To
    do so, we provide an AuditorAware<T>
    SPI interface that you have to implement to tell the infrastructure who
    the current user or system interacting with the application is. The
    generic type T defines of what type the properties annotated
    with @CreatedBy or
    @LastModifiedBy have to be. 
Here's an example implementation of the interface using Spring
    Security's Authentication object:
Example 2.24. Implementation of AuditorAware based on Spring Security
class SpringSecurityAuditorAware implements AuditorAware<User> { public User getCurrentAuditor() { Authentication authentication = SecurityContextHolder.getContext().getAuthentication(); if (authentication == null || !authentication.isAuthenticated()) { return null; } return ((MyUserDetails) authentication.getPrincipal()).getUser(); } }
The implementation is accessing the
    Authentication object provided by Spring
    Security and looks up the custom
    UserDetails instance from it that you have
    created in your UserDetailsService
    implementation. We're assuming here that you are exposing the domain user
    through that UserDetails implementation but
    you could also look it up from anywhere based on the
    Authentication found.
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:
Note that the auditing feature requires
      spring-aspects.jar to be on the classpath.
Example 2.25. 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 2.26. Activating auditing using XML configuration
<jpa:auditing auditor-aware-ref="yourAuditorAwareBean" />
As of Spring Data JPA 1.5, auditing can be enabled by annotating a
      configuration class with the @EnableJpaAuditing
      annotation.
Example 2.27. Activating auditing via Java configuration
@Configuration @EnableJpaAuditing class Config { @Bean public AuditorAware<AuditableUser> auditorProvider() { return new AuditorAwareImpl(); } }
If you expose a bean of type
      AuditorAware to the
      ApplicationContext, the auditing
      infrastructure will pick it up automatically and use it to determine the
      current user to be set on domain types. If you have multiple
      implementations registered in the
      ApplicationContext, you can select the
      one to be used by explicitly setting the auditorAwareRef
      attribute of @EnableJpaAuditing.
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 2.28. Using MergingPersistenceUnitmanager
<bean class="….LocalContainerEntityManagerFactoryBean"> <property name="persistenceUnitManager"> <bean class="….MergingPersistenceUnitManager" /> </property </bean>
A plain JPA setup requires all annotation mapped entity classes
      listed in orm.xml. Same applies to XML mapping
      files. Spring Data JPA provides a
      ClasspathScanningPersistenceUnitPostProcessor
      that gets a base package configured and optionally takes a mapping
      filename pattern. It will then scan the given package for classes
      annotated with @Entity or
      @MappedSuperclass and also loads the
      configuration files matching the filename pattern and hands them to the
      JPA configuration. The PostProcessor has to be configured like
      this
Example 2.29. Using ClasspathScanningPersistenceUnitPostProcessor
<bean class="….LocalContainerEntityManagerFactoryBean"> <property name="persistenceUnitPostProcessors"> <list> <bean class="org.springframework.data.jpa.support.ClasspathScanningPersistenceUnitPostProcessor"> <constructor-arg value="com.acme.domain" /> <property name="mappingFileNamePattern" value="**/*Mapping.xml" /> </bean> </list> </property> </bean>
| ![[Note]](images/note.png) | Note | 
|---|---|
| As of Spring 3.1 a package to scan can be configured on the
         | 
Instances of the repository interfaces are usually created by a container, which Spring is the most natural choice when working with Spring Data. There's sophisticated support to easily set up Spring to create bean instances documented in Section 1.2.3, “Creating repository instances”. As of version 1.1.0 Spring Data JPA ships with a custom CDI extension that allows using the repository abstraction in CDI environments. The extension is part of the JAR so all you need to do to activate it is dropping the Spring Data JPA JAR into your classpath.
You can now set up the infrastructure by implementing a CDI
      Producer for the
      EntityManagerFactory and
      EntityManager:
class EntityManagerFactoryProducer { @Produces @ApplicationScoped public EntityManagerFactory createEntityManagerFactory() { return Persistence.createEntityManagerFactory("my-presistence-unit"); } public void close(@Disposes EntityManagerFactory entityManagerFactory) { entityManagerFactory.close(); } @Produces @RequestScoped public EntityManager createEntityManager(EntityManagerFactory entityManagerFactory) { return entityManagerFactory.createEntityManager(); } public void close(@Disposes EntityManager entityManager) { entityManager.close(); } }
The necessary setup can vary depending on the JavaEE environment
      you run in. It might also just be enough to redeclare a
      EntityManager as CDI bean as
      follows:
class CdiConfig { @Produces @RequestScoped @PersistenceContext public EntityManager entityManager; }
In this example, the container has to be capable of creating JPA
      EntityManagers itself. All the
      configuration does is re-exporting the JPA
      EntityManager as CDI bean.
The Spring Data JPA CDI extension will pick up all
      EntityManagers availables as CDI beans
      and create a proxy for a Spring Data repository whenever an bean of a
      repository type is requested by the container. Thus obtaining an
      instance of a Spring Data repository is a matter of declaring an
      @Injected property:
class RepositoryClient { @Inject PersonRepository repository; public void businessMethod() { List<Person> people = repository.findAll(); } }
The <repositories /> element triggers the setup
    of the Spring Data repository infrastructure. The most important attribute
    is base-package which defines the package to scan for Spring
    Data repository interfaces.[3]
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. Wildcards are 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 the section called “Query lookup strategies” for
            details. Defaults to create-if-not-found. | 
| named-queries-location | Defines the location to look for a Properties file containing externally defined queries. | 
| consider-nested-repositories | Controls whether nested repository interface definitions
            should be considered. Defaults to false. | 
The following table lists the keywords generally supported by the Spring Data repository query derivation mechanism. However, consult the store-specific documentation for the exact list of supported keywords, because some listed here might not be supported in a particular store.
Table B.1. Query keywords
| Logical keyword | Keyword expressions | 
|---|---|
| AND | And | 
| OR | Or | 
| AFTER | After,IsAfter | 
| BEFORE | Before,IsBefore | 
| CONTAINING | Containing,IsContaining,Contains | 
| BETWEEN | Between,IsBetween | 
| ENDING_WITH | EndingWith,IsEndingWith,EndsWith | 
| EXISTS | Exists | 
| FALSE | False,IsFalse | 
| GREATER_THAN | GreaterThan,IsGreaterThan | 
| GREATER_THAN_EQUALS | GreaterThanEqual,IsGreaterThanEqual | 
| IN | In,IsIn | 
| IS | Is,Equals, (or no
            keyword) | 
| IS_NOT_NULL | NotNull,IsNotNull | 
| IS_NULL | Null,IsNull | 
| LESS_THAN | LessThan,IsLessThan | 
| LESS_THAN_EQUAL | LessThanEqual,IsLessThanEqual | 
| LIKE | Like,IsLike | 
| NEAR | Near,IsNear | 
| NOT | Not,IsNot | 
| NOT_IN | NotIn,IsNotIn | 
| NOT_LIKE | NotLike,IsNotLike | 
| REGEX | Regex,MatchesRegex,Matches | 
| STARTING_WITH | StartingWith,IsStartingWith,StartsWith | 
| TRUE | True,IsTrue | 
| WITHIN | Within,IsWithin | 
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://projects.spring.io/spring-framework