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
	This allows you to define your own abstractions on top of the provided Spring Data Repositories functionality.

@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
	Note, that the intermediate repository interface is annotated with @NoRepositoryBean. Make sure you add that annotation to all repository interfaces that Spring Data should not create instances for at runtime.

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.

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.

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.

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);

If your property names contain underscores (e.g. first_name) you can escape the underscore in the method name with a second underscore. For a first_name property the query method would have to be named findByFirst__name(…).

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.

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
	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.

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.

<repositories base-package="com.acme.repositories">
  <context:exclude-filter type="regex" expression=".*SomeRepository" />
</repositories>

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.

@Configuration
@EnableJpaRepositories("com.acme.repositories")
class ApplicationConfiguration {

  @Bean
  public EntityManagerFactory entityManagerFactory() {
    // …
  }
}

	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 EntityManagerFactory bean. Consult the sections covering the store-specific configuration.

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.

RepositoryFactorySupport factory = … // Instantiate factory here
UserRepository repository = factory.getRepository(UserRepository.class);

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

DomainClassConverter

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 3.22. 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
	Currently the repository has to implement CrudRepository to be eligible to be discovered for conversion.

@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";
  }
}

public String showUsers(Model model, 
      @Qualifier("foo") Pageable first,
      @Qualifier("bar") Pageable second) { … }

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.

@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:

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.

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.

<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>

@Controller
@RequestMapping("/users")
public class UserController {

  @RequestMapping("/{id}")
  public String showUserForm(@PathVariable("id") User user, Model model) {

    model.addAttribute("user", user);
    return "userForm";
  }
}

<mvc:annotation-driven conversion-service="conversionService" />

<bean class="org.springframework.data.repository.support.DomainClassConverter">
  <constructor-arg ref="conversionService" />
</bean>

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.

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.

public String showUsers(Model model, 
  @PageableDefaults(pageNumber = 0, value = 30) Pageable pageable) { … }

The simplest for of a Composite key is a key with one partition key and one clustering key. Here is an example of a CQL Table, and the corresponding POJOs that represent the table and it's composite key.

CQL Table defined in Cassandra

create table login_event(
  person_id text, 
  event_time timestamp,
  event_code int,
  ip_address text,
  primary key (person_id, event_time))
  with CLUSTERING ORDER BY (event_time DESC)
;

Class defining the Composite Primary Key. NOTE: PrimaryKeyClass must implement Serializable and provide implementation of hashCode() and equals() just like the example.

package org.spring.cassandra.example;

import java.io.Serializable;
import java.util.Date;

import org.springframework.cassandra.core.Ordering;
import org.springframework.cassandra.core.PrimaryKeyType;
import org.springframework.data.cassandra.mapping.PrimaryKeyClass;
import org.springframework.data.cassandra.mapping.PrimaryKeyColumn;

@PrimaryKeyClass
public class LoginEventKey implements Serializable {

  @PrimaryKeyColumn(name = "person_id", ordinal = 0, type = PrimaryKeyType.PARTITIONED)
  private String personId;

  @PrimaryKeyColumn(name = "event_time", ordinal = 1, type = PrimaryKeyType.CLUSTERED, ordering = Ordering.DESCENDING)
  private Date eventTime;

  public String getPersonId() {
    return personId;
  }

  public void setPersonId(String personId) {
    this.personId = personId;
  }

  public Date getEventTime() {
    return eventTime;
  }

  public void setEventTime(Date eventTime) {
    this.eventTime = eventTime;
  }

  @Override
  public int hashCode() {
    final int prime = 31;
    int result = 1;
    result = prime * result + ((eventTime == null) ? 0 : eventTime.hashCode());
    result = prime * result + ((personId == null) ? 0 : personId.hashCode());
    return result;
  }

  @Override
  public boolean equals(Object obj) {
    if (this == obj)
      return true;
    if (obj == null)
      return false;
    if (getClass() != obj.getClass())
      return false;
    LoginEventKey other = (LoginEventKey) obj;
    if (eventTime == null) {
      if (other.eventTime != null)
        return false;
    } else if (!eventTime.equals(other.eventTime))
      return false;
    if (personId == null) {
      if (other.personId != null)
        return false;
    } else if (!personId.equals(other.personId))
      return false;
    return true;
  }
}

Class defining the CQL Table, having the Composite Primary Key as an attribute and annotated as the PrimaryKey.

package org.spring.cassandra.example;

import org.springframework.data.cassandra.mapping.Column;
import org.springframework.data.cassandra.mapping.PrimaryKey;
import org.springframework.data.cassandra.mapping.Table;

@Table(value = "login_event")
public class LoginEvent {

  @PrimaryKey
  private LoginEventKey pk;

  @Column(value = "event_code")
  private int eventCode;

  @Column(value = "ip_address")
  private String ipAddress;

  public LoginEventKey getPk() {
    return pk;
  }

  public void setPk(LoginEventKey pk) {
    this.pk = pk;
  }

  public int getEventCode() {
    return eventCode;
  }

  public void setEventCode(int eventCode) {
    this.eventCode = eventCode;
  }

  public String getIpAddress() {
    return ipAddress;
  }

  public void setIpAddress(String ipAddress) {
    this.ipAddress = ipAddress;
  }

}

The annotations provided with Spring Data Cassandra can handle any key combination available in Cassandra. Here is one more example of a Composite Primary Key with 5 columns, 2 of which are a composite partition key, and the remaining 3 are ordered clustering keys. The getters/setters, hashCode and equals are omitted for brevity.

package org.spring.cassandra.example;

import java.io.Serializable;
import java.util.Date;

import org.springframework.cassandra.core.Ordering;
import org.springframework.cassandra.core.PrimaryKeyType;
import org.springframework.data.cassandra.mapping.PrimaryKeyClass;
import org.springframework.data.cassandra.mapping.PrimaryKeyColumn;

@PrimaryKeyClass
public class DetailedLoginEventKey implements Serializable {

  @PrimaryKeyColumn(name = "person_id", ordinal = 0, type = PrimaryKeyType.PARTITIONED)
  private String personId;

  @PrimaryKeyColumn(name = "wks_id", ordinal = 1, type = PrimaryKeyType.PARTITIONED)
  private String workstationId;

  @PrimaryKeyColumn(ordinal = 2, type = PrimaryKeyType.CLUSTERED, ordering = Ordering.ASCENDING)
  private Date application;

  @PrimaryKeyColumn(name = "event_code", ordinal = 3, type = PrimaryKeyType.CLUSTERED, ordering = Ordering.ASCENDING)
  private Date eventCode;

  @PrimaryKeyColumn(name = "event_time", ordinal = 4, type = PrimaryKeyType.CLUSTERED, ordering = Ordering.DESCENDING)
  private Date eventTime;

  ...

}

To insert one row at a time, there are many options. At this point you should already have a cassandraTemplate available to you so we will just how the relevant code for each section, omitting the template setup.

Insert a record with an annotated POJO.

cassandraOperations.insert(new Person("123123123", "Alison", 39));

Insert a row using the QueryBuilder.Insert object that is part of the DataStax Java Driver.

Insert insert = QueryBuilder.insertInto("person");
insert.setConsistencyLevel(ConsistencyLevel.ONE);
insert.value("id", "123123123");
insert.value("name", "Alison");
insert.value("age", 39);

cassandraOperations.execute(insert);

Then there is always the old fashioned way. You can write your own CQL statements.

String cql = "insert into person (id, name, age) values ('123123123', 'Alison', 39)";
   
cassandraOperations.execute(cql);

CQLOperations, which is extended by CassandraOperations is a lower level Template that you can use for just about anything you need to accomplish with Cassandra. CqlOperations includes several overloaded methods named ingest().

Use these methods to pass a CQL String with Bind Markers, and your preferred flavor of data set (Object[][] and List<List<T>>).

The ingest method takes advantage of static PreparedStatements that are only prepared once for performance. Each record in your data list is bound to the same PreparedStatement, then executed asynchronously for high performance.

    String cqlIngest = "insert into person (id, name, age) values (?, ?, ?)";

    List<Object> person1 = new ArrayList<Object>();
    person1.add("10000");
    person1.add("David");
    person1.add(40);

    List<Object> person2 = new ArrayList<Object>();
    person2.add("10001");
    person2.add("Roger");
    person2.add(65);

    List<List<?>> people = new ArrayList<List<?>>();
    people.add(person1);
    people.add(person2);

    cassandraOperations.ingest(cqlIngest, people);