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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] 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. ??? covers XML configuration which is supported across all Spring Data modules supporting the repository API, ??? covers the query method 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 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.


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 CrudRepository .

On top of the CrudRepository there is a PagingAndSortingRepository abstraction that adds additional methods to ease paginated access to entities:


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:

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 .

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 additionally created 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 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 , 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 .


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.

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 Person s have Address es with ZipCode s. 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);

In this section you 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 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 have a pattern of scanned packages.

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.




The preceding approach is not feasible when you want to add a single method to all your repository interfaces.

  1. To add custom behavior to all repositories, you first add an intermediate interface to declare the shared behavior.


    Now your individual repository interfaces will extend this intermediate interface instead of the Repository interface to include the functionality declared.

  2. 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.


    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 .

  3. 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.


  4. 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.


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] 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.


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:


The configuration setup shown above will register a few basic components:

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


This method signature will cause Spring MVC try to derive a Pageable instance from the request parameters using the following default configuration:


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 Pageable s or Sort s 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.


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:


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:


This declaration causes the data.json file being read, deserialized by 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.


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.

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">
      <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.


In case you need multiple Pageable s 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.