2. 使用 Spring 数据存储库
Spring Data 存储库抽象的目标是显著减少为各种持久性存储实现数据访问层所需的样板代码量。
Spring Data 存储库文档和您的模块 |
2.1. 核心概念
Spring Data 存储库抽象中的中心接口是Repository
.
它需要 domain 类来管理,并将 domain 类的标识符类型作为类型参数。
此接口主要用作标记接口,用于捕获要使用的类型,并帮助您发现扩展此接口的接口。
这CrudRepository
interface 为正在管理的实体类提供复杂的 CRUD 功能。
CrudRepository
接口public interface CrudRepository<T, ID> extends Repository<T, ID> {
<S extends T> S save(S entity); (1)
Optional<T> findById(ID primaryKey); (2)
Iterable<T> findAll(); (3)
long count(); (4)
void delete(T entity); (5)
boolean existsById(ID primaryKey); (6)
// … more functionality omitted.
}
1 | 保存给定的实体。 |
2 | 返回由给定 ID 标识的实体。 |
3 | 返回所有实体。 |
4 | 返回实体数。 |
5 | 删除给定的实体。 |
6 | 指示是否存在具有给定 ID 的实体。 |
此接口中声明的方法通常称为 CRUD 方法。
我们还提供了特定于持久化技术的抽象,例如JpaRepository 或MongoRepository .
这些接口扩展了CrudRepository 并公开底层持久化技术的功能,以及相当通用的持久化技术无关的接口,例如CrudRepository . |
在CrudRepository
,有一个PagingAndSortingRepository
abstraction 的调用,它添加了额外的方法来简化对实体的分页访问:
PagingAndSortingRepository
接口public interface PagingAndSortingRepository<T, ID> extends CrudRepository<T, ID> {
Iterable<T> findAll(Sort sort);
Page<T> findAll(Pageable pageable);
}
要访问User
将页面大小设置为 20 时,您可以执行如下作:
PagingAndSortingRepository<User, Long> repository = // … get access to a bean
Page<User> users = repository.findAll(PageRequest.of(1, 20));
除了查询方法之外,还可以使用 count 和 delete 查询的查询派生。 以下列表显示了派生计数查询的接口定义:
interface UserRepository extends CrudRepository<User, Long> {
long countByLastname(String lastname);
}
下面的清单显示了派生的 delete 查询的接口定义:
interface UserRepository extends CrudRepository<User, Long> {
long deleteByLastname(String lastname);
List<User> removeByLastname(String lastname);
}
2.2. 查询方法
标准 CRUD 功能存储库通常对底层数据存储进行查询。 使用 Spring Data,声明这些查询将成为一个四步过程:
-
声明一个扩展 Repository 的接口或其子接口之一,并将其键入到它应该处理的域类和 ID 类型,如以下示例所示:
interface PersonRepository extends Repository<Person, Long> { … }
-
在接口上声明查询方法。
interface PersonRepository extends Repository<Person, Long> { List<Person> findByLastname(String lastname); }
-
设置 Spring 以使用 JavaConfig 或 XML 配置为这些接口创建代理实例。
-
要使用 Java 配置,请创建一个类似于以下内容的类:
@EnableJpaRepositories class Config { … }
-
To use XML configuration, define a bean similar to the following:
<?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 https://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/data/jpa https://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 use the repository abstraction for any other store, you need to change this to the appropriate namespace declaration of your store module. In other words, you should exchange
jpa
in favor of, for example,mongodb
.Also, note that the JavaConfig variant does not configure a package explicitly, because the package of the annotated class is used by default. To customize the package to scan, use one of the
basePackage…
attributes of the data-store-specific repository’s@Enable${store}Repositories
-annotation.
-
-
Inject the repository instance and use it, as shown in the following example:
class SomeClient { private final PersonRepository repository; SomeClient(PersonRepository repository) { this.repository = repository; } void doSomething() { List<Person> persons = repository.findByLastname("Matthews"); } }
The sections that follow explain each step in detail:
2.3. Defining Repository Interfaces
To define a repository interface, you first need to 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
.
2.3.1. Fine-tuning Repository Definition
Typically, your repository interface extends 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, copy the methods you want to expose from CrudRepository
into your domain repository.
Doing so lets you define your own abstractions on top of the provided Spring Data Repositories functionality.
The following example shows how to selectively expose CRUD methods (findById
and save
, in this case):
Example 7. Selectively exposing CRUD methods
@NoRepositoryBean
interface MyBaseRepository<T, ID> extends Repository<T, ID> {
Optional<T> findById(ID id);
<S extends T> S save(S entity);
}
interface UserRepository extends MyBaseRepository<User, Long> {
User findByEmailAddress(EmailAddress emailAddress);
}
In the prior example, you defined a common base interface for all your domain repositories and exposed findById(…)
as well as save(…)
.These methods are routed into the base repository implementation of the store of your choice provided by Spring Data (for example, if you use JPA, the implementation is SimpleJpaRepository
), because they match the method signatures in CrudRepository
.
So the UserRepository
can now save users, find individual users by ID, and trigger a query to find Users
by email address.
The intermediate repository interface is annotated with @NoRepositoryBean
.
Make sure you add that annotation to all repository interfaces for which Spring Data should not create instances at runtime.
2.3.2. Using Repositories with Multiple Spring Data Modules
Using a unique Spring Data module in your application makes things simple, because all repository interfaces in the defined scope are bound to the Spring Data module.
Sometimes, applications require using more than one Spring Data module.
In such cases, a repository definition must distinguish between persistence technologies.
When it detects multiple repository factories on the class path, Spring Data enters strict repository configuration mode.
Strict configuration uses details on the repository or the domain class to decide about Spring Data module binding for a repository definition:
-
If the repository definition extends the module-specific repository, it is a valid candidate for the particular Spring Data module.
-
If the domain class is annotated with the module-specific type annotation, it is a valid candidate for the particular Spring Data module.
Spring Data modules accept either third-party annotations (such as JPA’s @Entity
) or provide their own annotations (such as @Document
for Spring Data MongoDB and Spring Data Elasticsearch).
The following example shows a repository that uses module-specific interfaces (JPA in this case):
Example 8. Repository definitions using module-specific interfaces
interface MyRepository extends JpaRepository<User, Long> { }
@NoRepositoryBean
interface MyBaseRepository<T, ID> extends JpaRepository<T, ID> { … }
interface UserRepository extends MyBaseRepository<User, Long> { … }
MyRepository
and UserRepository
extend JpaRepository
in their type hierarchy.
They are valid candidates for the Spring Data JPA module.
The following example shows a repository that uses generic interfaces:
Example 9. Repository definitions using generic interfaces
interface AmbiguousRepository extends Repository<User, Long> { … }
@NoRepositoryBean
interface MyBaseRepository<T, ID> extends CrudRepository<T, ID> { … }
interface AmbiguousUserRepository extends MyBaseRepository<User, Long> { … }
AmbiguousRepository
and AmbiguousUserRepository
extend only Repository
and CrudRepository
in their type hierarchy.
While this is fine when using a unique Spring Data module, multiple modules cannot distinguish to which particular Spring Data these repositories should be bound.
The following example shows a repository that uses domain classes with annotations:
Example 10. Repository definitions using domain classes with annotations
interface PersonRepository extends Repository<Person, Long> { … }
@Entity
class Person { … }
interface UserRepository extends Repository<User, Long> { … }
@Document
class User { … }
PersonRepository
references Person
, which is annotated with the JPA @Entity
annotation, so this repository clearly belongs to Spring Data JPA. UserRepository
references User
, which is annotated with Spring Data MongoDB’s @Document
annotation.
The following bad example shows a repository that uses domain classes with mixed annotations:
Example 11. Repository definitions using domain classes with mixed annotations
interface JpaPersonRepository extends Repository<Person, Long> { … }
interface MongoDBPersonRepository extends Repository<Person, Long> { … }
@Entity
@Document
class Person { … }
This example shows a domain class using both JPA and Spring Data MongoDB annotations.
It defines two repositories, JpaPersonRepository
and MongoDBPersonRepository
.
One is intended for JPA and the other for MongoDB usage.
Spring Data is no longer able to tell the repositories apart, which leads to undefined behavior.
Repository type details and distinguishing domain class annotations are used for strict repository configuration to identify repository candidates for a particular Spring Data module.
Using multiple persistence technology-specific annotations on the same domain type is possible and enables reuse of domain types across multiple persistence technologies.
However, Spring Data can then no longer determine a unique module with which to bind the repository.
The last way to distinguish repositories is by scoping repository base packages.
Base packages define the starting points for scanning for repository interface definitions, which implies having repository definitions located in the appropriate packages.
By default, annotation-driven configuration uses the package of the configuration class.
The base package in XML-based configuration is mandatory.
The following example shows annotation-driven configuration of base packages:
Example 12. Annotation-driven configuration of base packages
@EnableJpaRepositories(basePackages = "com.acme.repositories.jpa")
@EnableMongoRepositories(basePackages = "com.acme.repositories.mongo")
class Configuration { … }
2.4. Defining Query Methods
The repository proxy has two ways to derive a store-specific query from the method name:
-
By deriving the query from the method name directly.
-
By using a manually defined query.
Available options depend on the actual store.
However, there must be a strategy that decides what actual query is created.
The next section describes the available options.
2.4.1. Query Lookup Strategies
The following strategies are available for the repository infrastructure to resolve the query.
With XML configuration, you can configure the strategy at the namespace through the query-lookup-strategy
attribute.
For Java configuration, you can use the queryLookupStrategy
attribute of the Enable${store}Repositories
annotation.
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.
You can read more about query construction in “Query Creation”.
-
USE_DECLARED_QUERY
tries to find a declared query and throws an exception if it cannot find one.
The query can be defined by an annotation somewhere or declared by other means.
See 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
(the default) 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, is 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.
2.4.2. Query Creation
The query builder mechanism built into the Spring Data repository infrastructure is useful for building constraining queries over entities of the repository.
The following example shows how to create a number of queries:
Example 13. Query creation from method names
interface PersonRepository extends Repository<Person, 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);
}
Parsing query method names is divided into subject and predicate.
The first part (find…By
, exists…By
) defines the subject of the query, the second part forms the predicate.
The introducing clause (subject) can contain further expressions.
Any text between find
(or other introducing keywords) and By
is considered to be descriptive unless using one of the result-limiting keywords such as a Distinct
to set a distinct flag on the query to be created or Top
/First
to limit query results.
The appendix contains the full list of query method subject keywords and query method predicate keywords including sorting and letter-casing modifiers.
However, the first By
acts as a delimiter to indicate the start of the actual criteria predicate.
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:
-
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
, and 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 supports ignoring case (usually String
instances — 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 “Special parameter handling”.
2.4.3. Property Expressions
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.
Consider the following method signature:
List<Person> findByAddressZipCode(ZipCode zipCode);
Assume a Person
has an Address
with a ZipCode
.
In that case, the method creates the x.address.zipCode
property traversal.
The resolution algorithm starts by 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 continues building the tree down from there, splitting the tail up in the way just described.
If the first split does not match, the algorithm moves 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, choose the wrong property, and 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 be as follows:
List<Person> findByAddress_ZipCode(ZipCode zipCode);
Because we treat the underscore character as a reserved character, we strongly advise following standard Java naming conventions (that is, not using underscores in property names but using camel case instead).
2.4.4. Special parameter handling
To handle parameters in your query, define method parameters as already seen in the preceding examples.
Besides that, the infrastructure recognizes certain specific types like Pageable
and Sort
, to apply pagination and sorting to your queries dynamically.
The following example demonstrates these features:
Example 14. Using Pageable
, Slice
, and Sort
in query methods
Page<User> findByLastname(String lastname, Pageable pageable);
Slice<User> findByLastname(String lastname, Pageable pageable);
List<User> findByLastname(String lastname, Sort sort);
List<User> findByLastname(String lastname, Pageable pageable);
APIs taking Sort
and Pageable
expect non-null
values to be handed into methods.
If you do not want to apply any sorting or pagination, use Sort.unsorted()
and Pageable.unpaged()
.
The first method lets you pass an org.springframework.data.domain.Pageable
instance to the query method to dynamically add paging to your statically defined query.
A Page
knows about the total number of elements and pages available.
It does so by the infrastructure triggering a count query to calculate the overall number.
As this might be expensive (depending on the store used), you can instead return a Slice
.
A Slice
knows only about whether a next Slice
is available, which might be sufficient when walking through a larger result set.
Sorting options are handled through the Pageable
instance, too.
If you need only sorting, add an org.springframework.data.domain.Sort
parameter to your method.
As you can see, returning a List
is also possible.
In this case, the additional metadata required to build the actual Page
instance is not created (which, in turn, means that the additional count query that would have been necessary is not issued).
Rather, it restricts the query to look up only the given range of entities.
To find out how many pages you get for an entire query, you have to trigger an additional count query.
By default, this query is derived from the query you actually trigger.
Paging and Sorting
You can define simple sorting expressions by using property names.
You can concatenate expressions to collect multiple criteria into one expression.
Example 15. Defining sort expressions
Sort sort = Sort.by("firstname").ascending()
.and(Sort.by("lastname").descending());
For a more type-safe way to define sort expressions, start with the type for which to define the sort expression and use method references to define the properties on which to sort.
Example 16. Defining sort expressions by using the type-safe API
TypedSort<Person> person = Sort.sort(Person.class);
Sort sort = person.by(Person::getFirstname).ascending()
.and(person.by(Person::getLastname).descending());
TypedSort.by(…)
makes use of runtime proxies by (typically) using CGlib, which may interfere with native image compilation when using tools such as Graal VM Native.
If your store implementation supports Querydsl, you can also use the generated metamodel types to define sort expressions:
Example 17. Defining sort expressions by using the Querydsl API
QSort sort = QSort.by(QPerson.firstname.asc())
.and(QSort.by(QPerson.lastname.desc()));
2.4.5. Limiting Query Results
You can limit the results of query methods by using the first
or top
keywords, which you can use interchangeably.
You can append an optional numeric value to top
or first
to specify the maximum result size to be returned.
If the number is left out, a result size of 1 is assumed.
The following example shows how to limit the query size:
Example 18. Limiting the result size of a query with Top
and First
User findFirstByOrderByLastnameAsc();
User findTopByOrderByAgeDesc();
Page<User> queryFirst10ByLastname(String lastname, Pageable pageable);
Slice<User> findTop3ByLastname(String lastname, Pageable pageable);
List<User> findFirst10ByLastname(String lastname, Sort sort);
List<User> findTop10ByLastname(String lastname, Pageable pageable);
The limiting expressions also support the Distinct
keyword for datastores that support distinct queries.
Also, for the queries that limit the result set to one instance, wrapping the result into with the Optional
keyword is supported.
If pagination or slicing is applied to a limiting query pagination (and the calculation of the number of available pages), it is applied within the limited result.
Limiting the results in combination with dynamic sorting by using a Sort
parameter lets you express query methods for the 'K' smallest as well as for the 'K' biggest elements.
2.4.6. Repository Methods Returning Collections or Iterables
Query methods that return multiple results can use standard Java Iterable
, List
, and Set
.
Beyond that, we support returning Spring Data’s Streamable
, a custom extension of Iterable
, as well as collection types provided by Vavr.
Refer to the appendix explaining all possible query method return types.
Using Streamable as Query Method Return Type
You can use Streamable
as alternative to Iterable
or any collection type.
It provides convenience methods to access a non-parallel Stream
(missing from Iterable
) and the ability to directly ….filter(…)
and ….map(…)
over the elements and concatenate the Streamable
to others:
Example 19. Using Streamable to combine query method results
interface PersonRepository extends Repository<Person, Long> {
Streamable<Person> findByFirstnameContaining(String firstname);
Streamable<Person> findByLastnameContaining(String lastname);
}
Streamable<Person> result = repository.findByFirstnameContaining("av")
.and(repository.findByLastnameContaining("ea"));
Returning Custom Streamable Wrapper Types
Providing dedicated wrapper types for collections is a commonly used pattern to provide an API for a query result that returns multiple elements.
Usually, these types are used by invoking a repository method returning a collection-like type and creating an instance of the wrapper type manually.
You can avoid that additional step as Spring Data lets you use these wrapper types as query method return types if they meet the following criteria:
-
The type implements Streamable
.
-
The type exposes either a constructor or a static factory method named of(…)
or valueOf(…)
that takes Streamable
as an argument.
The following listing shows an example:
class Product { (1)
MonetaryAmount getPrice() { … }
}
@RequiredArgsConstructor(staticName = "of")
class Products implements Streamable<Product> { (2)
private final Streamable<Product> streamable;
public MonetaryAmount getTotal() { (3)
return streamable.stream()
.map(Priced::getPrice)
.reduce(Money.of(0), MonetaryAmount::add);
}
@Override
public Iterator<Product> iterator() { (4)
return streamable.iterator();
}
}
interface ProductRepository implements Repository<Product, Long> {
Products findAllByDescriptionContaining(String text); (5)
}
1
A Product
entity that exposes API to access the product’s price.
2
A wrapper type for a Streamable<Product>
that can be constructed by using Products.of(…)
(factory method created with the Lombok annotation).
A standard constructor taking the Streamable<Product>
will do as well.
3
The wrapper type exposes an additional API, calculating new values on the Streamable<Product>
.
4
Implement the Streamable
interface and delegate to the actual result.
5
That wrapper type Products
can be used directly as a query method return type.
You do not need to return Streamable<Product>
and manually wrap it after the query in the repository client.
Support for Vavr Collections
Vavr is a library that embraces functional programming concepts in Java.
It ships with a custom set of collection types that you can use as query method return types, as the following table shows:
Vavr collection type
Used Vavr implementation type
Valid Java source types
io.vavr.collection.Seq
io.vavr.collection.List
java.util.Iterable
io.vavr.collection.Set
io.vavr.collection.LinkedHashSet
java.util.Iterable
io.vavr.collection.Map
io.vavr.collection.LinkedHashMap
java.util.Map
You can use the types in the first column (or subtypes thereof) as query method return types and get the types in the second column used as implementation type, depending on the Java type of the actual query result (third column).
Alternatively, you can declare Traversable
(the Vavr Iterable
equivalent), and we then derive the implementation class from the actual return value.
That is, a java.util.List
is turned into a Vavr List
or Seq
, a java.util.Set
becomes a Vavr LinkedHashSet
Set
, and so on.
2.4.7. Null Handling of Repository Methods
As of Spring Data 2.0, repository CRUD methods that return an individual aggregate instance use Java 8’s Optional
to indicate the potential absence of a value.
Besides that, Spring Data supports returning the following wrapper types on query methods:
-
com.google.common.base.Optional
-
scala.Option
-
io.vavr.control.Option
Alternatively, query methods can choose not to use a wrapper type at all.
The absence of a query result is then indicated by returning null
.
Repository methods returning collections, collection alternatives, wrappers, and streams are guaranteed never to return null
but rather the corresponding empty representation.
See “[repository-query-return-types]” for details.
Nullability Annotations
You can express nullability constraints for repository methods by using Spring Framework’s nullability annotations.
They provide a tooling-friendly approach and opt-in null
checks during runtime, as follows:
-
@NonNullApi
: Used on the package level to declare that the default behavior for parameters and return values is, respectively, neither to accept nor to produce null
values.
-
@NonNull
: Used on a parameter or return value that must not be null
(not needed on a parameter and return value where @NonNullApi
applies).
-
@Nullable
: Used on a parameter or return value that can be null
.
Spring annotations are meta-annotated with JSR 305 annotations (a dormant but widely used JSR).
JSR 305 meta-annotations let tooling vendors (such as IDEA, Eclipse, and Kotlin) provide null-safety support in a generic way, without having to hard-code support for Spring annotations.
To enable runtime checking of nullability constraints for query methods, you need to activate non-nullability on the package level by using Spring’s @NonNullApi
in package-info.java
, as shown in the following example:
Example 20. Declaring Non-nullability in package-info.java
@org.springframework.lang.NonNullApi
package com.acme;
Once non-null defaulting is in place, repository query method invocations get validated at runtime for nullability constraints.
If a query result violates the defined constraint, an exception is thrown.
This happens when the method would return null
but is declared as non-nullable (the default with the annotation defined on the package in which the repository resides).
If you want to opt-in to nullable results again, selectively use @Nullable
on individual methods.
Using the result wrapper types mentioned at the start of this section continues to work as expected: an empty result is translated into the value that represents absence.
The following example shows a number of the techniques just described:
Example 21. Using different nullability constraints
package com.acme; (1)
interface UserRepository extends Repository<User, Long> {
User getByEmailAddress(EmailAddress emailAddress); (2)
@Nullable
User findByEmailAddress(@Nullable EmailAddress emailAdress); (3)
Optional<User> findOptionalByEmailAddress(EmailAddress emailAddress); (4)
}
1
The repository resides in a package (or sub-package) for which we have defined non-null behavior.
2
Throws an EmptyResultDataAccessException
when the query does not produce a result.
Throws an IllegalArgumentException
when the emailAddress
handed to the method is null
.
3
Returns null
when the query does not produce a result.
Also accepts null
as the value for emailAddress
.
4
Returns Optional.empty()
when the query does not produce a result.
Throws an IllegalArgumentException
when the emailAddress
handed to the method is null
.
Nullability in Kotlin-based Repositories
Kotlin has the definition of nullability constraints baked into the language.
Kotlin code compiles to bytecode, which does not express nullability constraints through method signatures but rather through compiled-in metadata.
Make sure to include the kotlin-reflect
JAR in your project to enable introspection of Kotlin’s nullability constraints.
Spring Data repositories use the language mechanism to define those constraints to apply the same runtime checks, as follows:
Example 22. Using nullability constraints on Kotlin repositories
interface UserRepository : Repository<User, String> {
fun findByUsername(username: String): User (1)
fun findByFirstname(firstname: String?): User? (2)
}
1
The method defines both the parameter and the result as non-nullable (the Kotlin default).
The Kotlin compiler rejects method invocations that pass null
to the method.
If the query yields an empty result, an EmptyResultDataAccessException
is thrown.
2
This method accepts null
for the firstname
parameter and returns null
if the query does not produce a result.
2.4.8. Streaming Query Results
You can process the results of query methods incrementally by using a Java 8 Stream<T>
as the return type.
Instead of wrapping the query results in a Stream
, data store-specific methods are used to perform the streaming, as shown in the following example:
Example 23. Stream the result of a query with Java 8 Stream<T>
@Query("select u from User u")
Stream<User> findAllByCustomQueryAndStream();
Stream<User> readAllByFirstnameNotNull();
@Query("select u from User u")
Stream<User> streamAllPaged(Pageable pageable);
A Stream
potentially wraps underlying data store-specific resources and must, therefore, be closed after usage.
You can either manually close the Stream
by using the close()
method or by using a Java 7 try-with-resources
block, as shown in the following example:
Example 24. Working with a Stream<T>
result in a try-with-resources
block
try (Stream<User> stream = repository.findAllByCustomQueryAndStream()) {
stream.forEach(…);
}
Not all Spring Data modules currently support Stream<T>
as a return type.
2.4.9. Asynchronous Query Results
You can run repository queries asynchronously by using Spring’s asynchronous method running capability.
This means the method returns immediately upon invocation while the actual query occurs in a task that has been submitted to a Spring TaskExecutor
.
Asynchronous queries differ from reactive queries and should not be mixed.
See the store-specific documentation for more details on reactive support.
The following example shows a number of asynchronous queries:
@Async
Future<User> findByFirstname(String firstname); (1)
@Async
CompletableFuture<User> findOneByFirstname(String firstname); (2)
@Async
ListenableFuture<User> findOneByLastname(String lastname); (3)
1
Use java.util.concurrent.Future
as the return type.
2
Use a Java 8 java.util.concurrent.CompletableFuture
as the return type.
3
Use a org.springframework.util.concurrent.ListenableFuture
as the return type.
2.5. Creating Repository Instances
This section covers how to create instances and bean definitions for the defined repository interfaces. One way to do so is by using the Spring namespace that is shipped with each Spring Data module that supports the repository mechanism, although we generally recommend using Java configuration.
2.5.1. XML Configuration
Each Spring Data module includes a repositories
element that lets you define a base package that Spring scans for you, as shown in the following example:
Example 25. Enabling Spring Data repositories via XML
<?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
https://www.springframework.org/schema/beans/spring-beans.xsd
http://www.springframework.org/schema/data/jpa
https://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 sub-packages for interfaces extending Repository
or one of its sub-interfaces.
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
.
Bean names for nested repository interfaces are prefixed with their enclosing type name.
The base-package
attribute allows wildcards so that you can define a pattern of scanned packages.
Using Filters
By default, the infrastructure picks up every interface that extends the persistence technology-specific Repository
sub-interface located under the configured base package and creates a bean instance for it.
However, you might want more fine-grained control over which interfaces have bean instances created for them.
To do so, use <include-filter />
and <exclude-filter />
elements inside the <repositories />
element.
The semantics are exactly equivalent to the elements in Spring’s context namespace.
For details, see the Spring reference documentation for these elements.
For example, to exclude certain interfaces from instantiation as repository beans, you could use the following configuration:
Example 26. Using exclude-filter element
<repositories base-package="com.acme.repositories">
<context:exclude-filter type="regex" expression=".*SomeRepository" />
</repositories>
The preceding example excludes all interfaces ending in SomeRepository
from being instantiated.
2.5.2. Java Configuration
You can also trigger the repository infrastructure by using a store-specific @Enable${store}Repositories
annotation on a Java configuration class. For an introduction to Java-based configuration of the Spring container, see JavaConfig in the Spring reference documentation.
A sample configuration to enable Spring Data repositories resembles the following:
Example 27. Sample annotation-based repository configuration
@Configuration
@EnableJpaRepositories("com.acme.repositories")
class ApplicationConfiguration {
@Bean
EntityManagerFactory entityManagerFactory() {
// …
}
}
The preceding example 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. See the sections covering the store-specific configuration.
2.5.3. Standalone Usage
You can also use the repository infrastructure outside of a Spring container — for example, 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 with a persistence technology-specific RepositoryFactory
that you can use, as follows:
Example 28. Standalone usage of the repository factory
RepositoryFactorySupport factory = … // Instantiate factory here
UserRepository repository = factory.getRepository(UserRepository.class);
2.6. Custom Implementations for Spring Data Repositories
Spring Data provides various options to create query methods with little coding.
But when those options don’t fit your needs you can also provide your own custom implementation for repository methods.
This section describes how to do that.
2.6.1. Customizing Individual Repositories
To enrich a repository with custom functionality, you must first define a fragment interface and an implementation for the custom functionality, as follows:
Example 29. Interface for custom repository functionality
interface CustomizedUserRepository {
void someCustomMethod(User user);
}
Example 30. Implementation of custom repository functionality
class CustomizedUserRepositoryImpl implements CustomizedUserRepository {
public void someCustomMethod(User user) {
// Your custom implementation
}
}
The most important part of the class name that corresponds to the fragment interface is the Impl
postfix.
The implementation itself does not depend on Spring Data and can be a regular Spring bean.
Consequently, you can use standard dependency injection behavior to inject references to other beans (such as a JdbcTemplate
), take part in aspects, and so on.
Then you can let your repository interface extend the fragment interface, as follows:
Example 31. Changes to your repository interface
interface UserRepository extends CrudRepository<User, Long>, CustomizedUserRepository {
// Declare query methods here
}
Extending the fragment interface with your repository interface combines the CRUD and custom functionality and makes it available to clients.
Spring Data repositories are implemented by using fragments that form a repository composition.
Fragments are the base repository, functional aspects (such as QueryDsl), and custom interfaces along with their implementations.
Each time you add an interface to your repository interface, you enhance the composition by adding a fragment.
The base repository and repository aspect implementations are provided by each Spring Data module.
The following example shows custom interfaces and their implementations:
Example 32. Fragments with their implementations
interface HumanRepository {
void someHumanMethod(User user);
}
class HumanRepositoryImpl implements HumanRepository {
public void someHumanMethod(User user) {
// Your custom implementation
}
}
interface ContactRepository {
void someContactMethod(User user);
User anotherContactMethod(User user);
}
class ContactRepositoryImpl implements ContactRepository {
public void someContactMethod(User user) {
// Your custom implementation
}
public User anotherContactMethod(User user) {
// Your custom implementation
}
}
The following example shows the interface for a custom repository that extends CrudRepository
:
Example 33. Changes to your repository interface
interface UserRepository extends CrudRepository<User, Long>, HumanRepository, ContactRepository {
// Declare query methods here
}
Repositories may be composed of multiple custom implementations that are imported in the order of their declaration.
Custom implementations have a higher priority than the base implementation and repository aspects.
This ordering lets you override base repository and aspect methods and resolves ambiguity if two fragments contribute the same method signature.
Repository fragments are not limited to use in a single repository interface.
Multiple repositories may use a fragment interface, letting you reuse customizations across different repositories.
The following example shows a repository fragment and its implementation:
Example 34. Fragments overriding save(…)
interface CustomizedSave<T> {
<S extends T> S save(S entity);
}
class CustomizedSaveImpl<T> implements CustomizedSave<T> {
public <S extends T> S save(S entity) {
// Your custom implementation
}
}
The following example shows a repository that uses the preceding repository fragment:
Example 35. Customized repository interfaces
interface UserRepository extends CrudRepository<User, Long>, CustomizedSave<User> {
}
interface PersonRepository extends CrudRepository<Person, Long>, CustomizedSave<Person> {
}
Configuration
If you use namespace configuration, the repository infrastructure tries to autodetect custom implementation fragments by scanning for classes below the package in which it found a repository.
These classes need to follow the naming convention of appending the namespace element’s repository-impl-postfix
attribute to the fragment interface name.
This postfix defaults to Impl
.
The following example shows a repository that uses the default postfix and a repository that sets a custom value for the postfix:
Example 36. Configuration example
<repositories base-package="com.acme.repository" />
<repositories base-package="com.acme.repository" repository-impl-postfix="MyPostfix" />
The first configuration in the preceding example tries to look up a class called com.acme.repository.CustomizedUserRepositoryImpl
to act as a custom repository implementation.
The second example tries to look up com.acme.repository.CustomizedUserRepositoryMyPostfix
.
Resolution of Ambiguity
If multiple implementations with matching class names are found in different packages, Spring Data uses the bean names to identify which one to use.
Given the following two custom implementations for the CustomizedUserRepository
shown earlier, the first implementation is used.
Its bean name is customizedUserRepositoryImpl
, which matches that of the fragment interface (CustomizedUserRepository
) plus the postfix Impl
.
Example 37. Resolution of ambiguous implementations
package com.acme.impl.one;
class CustomizedUserRepositoryImpl implements CustomizedUserRepository {
// Your custom implementation
}
package com.acme.impl.two;
@Component("specialCustomImpl")
class CustomizedUserRepositoryImpl implements CustomizedUserRepository {
// Your custom implementation
}
If you annotate the UserRepository
interface with @Component("specialCustom")
, the bean name plus Impl
then matches the one defined for the repository implementation in com.acme.impl.two
, and it is used instead of the first one.
Manual Wiring
If your custom implementation uses annotation-based configuration and autowiring only, the preceding approach shown works well, because it is treated as any other Spring bean.
If your implementation fragment bean needs special wiring, you can declare the bean and name it according to the conventions described in the preceding section.
The infrastructure then refers to the manually defined bean definition by name instead of creating one itself.
The following example shows how to manually wire a custom implementation:
Example 38. Manual wiring of custom implementations
<repositories base-package="com.acme.repository" />
<beans:bean id="userRepositoryImpl" class="…">
<!-- further configuration -->
</beans:bean>
2.6.2. Customize the Base Repository
The approach described in the preceding section requires customization of each repository interfaces when you want to customize the base repository behavior so that all repositories are affected.
To instead change behavior for all repositories, you can create an implementation that extends the persistence technology-specific repository base class.
This class then acts as a custom base class for the repository proxies, as shown in the following example:
Example 39. Custom repository base class
class MyRepositoryImpl<T, ID>
extends SimpleJpaRepository<T, ID> {
private final EntityManager entityManager;
MyRepositoryImpl(JpaEntityInformation entityInformation,
EntityManager entityManager) {
super(entityInformation, entityManager);
// Keep the EntityManager around to used from the newly introduced methods.
this.entityManager = entityManager;
}
@Transactional
public <S extends T> S save(S entity) {
// implementation goes here
}
}
The class needs to have a constructor of the super class which the store-specific repository factory implementation uses.
If the repository base class has multiple constructors, override the one taking an EntityInformation
plus a store specific infrastructure object (such as an EntityManager
or a template class).
The final step is to make the Spring Data infrastructure aware of the customized repository base class.
In Java configuration, you can do so by using the repositoryBaseClass
attribute of the @Enable${store}Repositories
annotation, as shown in the following example:
Example 40. Configuring a custom repository base class using JavaConfig
@Configuration
@EnableJpaRepositories(repositoryBaseClass = MyRepositoryImpl.class)
class ApplicationConfiguration { … }
A corresponding attribute is available in the XML namespace, as shown in the following example:
Example 41. Configuring a custom repository base class using XML
<repositories base-package="com.acme.repository"
base-class="….MyRepositoryImpl" />
2.7. Publishing Events from Aggregate Roots
Entities managed by repositories are aggregate roots.
In a Domain-Driven Design application, these aggregate roots usually publish domain events.
Spring Data provides an annotation called @DomainEvents
that you can use on a method of your aggregate root to make that publication as easy as possible, as shown in the following example:
Example 42. Exposing domain events from an aggregate root
class AnAggregateRoot {
@DomainEvents (1)
Collection<Object> domainEvents() {
// … return events you want to get published here
}
@AfterDomainEventPublication (2)
void callbackMethod() {
// … potentially clean up domain events list
}
}
1
The method that uses @DomainEvents
can return either a single event instance or a collection of events.
It must not take any arguments.
2
After all events have been published, we have a method annotated with @AfterDomainEventPublication
.
You can use it to potentially clean the list of events to be published (among other uses).
The methods are called every time one of the following a Spring Data repository methods are called:
-
save(…)
, saveAll(…)
-
delete(…)
, deleteAll(…)
, deleteAllInBatch(…)
, deleteInBatch(…)
Note, that these methods take the aggregate root instances as arguments.
This is why deleteById(…)
is notably absent, as the implementations might choose to issue a query deleting the instance and thus we would never have access to the aggregate instance in the first place.
2.8. Spring Data Extensions
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.
2.8.1. Querydsl Extension
Querydsl is a framework that enables the construction of statically typed SQL-like queries through its fluent API.
Several Spring Data modules offer integration with Querydsl through QuerydslPredicateExecutor
, as the following example shows:
Example 43. QuerydslPredicateExecutor interface
public interface QuerydslPredicateExecutor<T> {
Optional<T> findById(Predicate predicate); (1)
Iterable<T> findAll(Predicate predicate); (2)
long count(Predicate predicate); (3)
boolean exists(Predicate predicate); (4)
// … more functionality omitted.
}
1
Finds and returns a single entity matching the Predicate
.
2
Finds and returns all entities matching the Predicate
.
3
Returns the number of entities matching the Predicate
.
4
Returns whether an entity that matches the Predicate
exists.
To use the Querydsl support, extend QuerydslPredicateExecutor
on your repository interface, as the following example shows:
Example 44. Querydsl integration on repositories
interface UserRepository extends CrudRepository<User, Long>, QuerydslPredicateExecutor<User> {
}
The preceding example lets you write type-safe queries by using Querydsl Predicate
instances, as the following example shows:
Predicate predicate = user.firstname.equalsIgnoreCase("dave")
.and(user.lastname.startsWithIgnoreCase("mathews"));
userRepository.findAll(predicate);
2.8.2. Web support
Spring Data modules that support the repository programming model ship with a variety of web support.
The web related components require Spring MVC JARs to be on the classpath.
Some of them even provide integration with Spring HATEOAS.
In general, the integration support is enabled by using the @EnableSpringDataWebSupport
annotation in your JavaConfig configuration class, as the following example shows:
Example 45. Enabling Spring Data web support
@Configuration
@EnableWebMvc
@EnableSpringDataWebSupport
class WebConfiguration {}
The @EnableSpringDataWebSupport
annotation registers a few components.
We discuss those later in this section.
It also detects Spring HATEOAS on the classpath and registers integration components (if present) for it as well.
Alternatively, if you use XML configuration, register either SpringDataWebConfiguration
or HateoasAwareSpringDataWebConfiguration
as Spring beans, as the following example shows (for SpringDataWebConfiguration
):
Example 46. Enabling Spring Data web support in XML
<bean class="org.springframework.data.web.config.SpringDataWebConfiguration" />
<!-- If you use Spring HATEOAS, register this one *instead* of the former -->
<bean class="org.springframework.data.web.config.HateoasAwareSpringDataWebConfiguration" />
Basic Web Support
The configuration shown in the previous section registers a few basic components:
-
A Using the DomainClassConverter
Class to let Spring MVC 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.
-
Jackson Modules to de-/serialize types like Point
and Distance
, or store specific ones, depending on the Spring Data Module used.
Using the DomainClassConverter
Class
The DomainClassConverter
class lets you use domain types in your Spring MVC controller method signatures directly so that you need not manually lookup the instances through the repository, as the following example shows:
Example 47. A Spring MVC controller using domain types in method signatures
@Controller
@RequestMapping("/users")
class UserController {
@RequestMapping("/{id}")
String showUserForm(@PathVariable("id") User user, Model model) {
model.addAttribute("user", user);
return "userForm";
}
}
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 findById(…)
on the repository instance registered for the domain type.
Currently, the repository has to implement CrudRepository
to be eligible to be discovered for conversion.
HandlerMethodArgumentResolvers for Pageable and Sort
The configuration snippet shown in the previous section also registers a PageableHandlerMethodArgumentResolver
as well as an instance of SortHandlerMethodArgumentResolver
.
The registration enables Pageable
and Sort
as valid controller method arguments, as the following example shows:
Example 48. Using Pageable as a controller method argument
@Controller
@RequestMapping("/users")
class UserController {
private final UserRepository repository;
UserController(UserRepository repository) {
this.repository = repository;
}
@RequestMapping
String showUsers(Model model, Pageable pageable) {
model.addAttribute("users", repository.findAll(pageable));
return "users";
}
}
The preceding method signature causes Spring MVC try to derive a Pageable
instance from the request parameters by using the following default configuration:
Table 1. Request parameters evaluated for Pageable
instances
page
Page you want to retrieve. 0-indexed and defaults to 0.
size
Size of the page you want to retrieve. Defaults to 20.
sort
Properties that should be sorted by in the format property,property(,ASC|DESC)(,IgnoreCase)
. The default sort direction is case-sensitive ascending. Use multiple sort
parameters if you want to switch direction or case sensitivity — for example, ?sort=firstname&sort=lastname,asc&sort=city,ignorecase
.
To customize this behavior, register a bean that implements the PageableHandlerMethodArgumentResolverCustomizer
interface or the SortHandlerMethodArgumentResolverCustomizer
interface, respectively.
Its customize()
method gets called, letting you change settings, as the following example shows:
@Bean SortHandlerMethodArgumentResolverCustomizer sortCustomizer() {
return s -> s.setPropertyDelimiter("<-->");
}
If setting the properties of an existing MethodArgumentResolver
is not sufficient for your purpose, extend either SpringDataWebConfiguration
or the HATEOAS-enabled equivalent, override the pageableResolver()
or sortResolver()
methods, and import your customized configuration file instead of using the @Enable
annotation.
If you need multiple Pageable
or Sort
instances 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}_
.
The following example shows the resulting method signature:
String showUsers(Model model,
@Qualifier("thing1") Pageable first,
@Qualifier("thing2") Pageable second) { … }
You have to populate thing1_page
, thing2_page
, and so on.
The default Pageable
passed into the method is equivalent to a PageRequest.of(0, 20)
, but you can customize it by using the @PageableDefault
annotation on the Pageable
parameter.
Hypermedia Support for Pageables
Spring HATEOAS ships with a representation model class (PagedResources
) that allows enriching 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, called the PagedResourcesAssembler
.
The following example shows how to use a PagedResourcesAssembler
as a controller method argument:
Example 49. 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 in the preceding example, lets the PagedResourcesAssembler
be used as a controller method argument.
Calling toResources(…)
on it has the following effects:
-
The content of the Page
becomes the content of the PagedResources
instance.
-
The PagedResources
object gets a PageMetadata
instance attached, and it is populated with information from the Page
and the underlying PageRequest
.
-
The PagedResources
may get prev
and next
links attached, depending on the page’s state.
The links point to the URI to which the method maps.
The pagination parameters added to the method match the setup of the PageableHandlerMethodArgumentResolver
to make sure the links can be resolved later.
Assume we have 30 Person
instances in the database.
You can now trigger a request (GET http://localhost:8080/persons
) and see output similar to the following:
{ "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
}
}
The assembler produced the correct URI and also picked up the default configuration to resolve the parameters into a Pageable
for an upcoming request.
This means that, if you change that configuration, the links automatically adhere to the change.
By default, the assembler points to the controller method it was invoked in, but you can customize that by passing a custom Link
to be used as base to build the pagination links, which overloads the PagedResourcesAssembler.toResource(…)
method.
Spring Data Jackson Modules
The core module, and some of the store specific ones, ship with a set of Jackson Modules for types, like org.springframework.data.geo.Distance
and org.springframework.data.geo.Point
, used by the Spring Data domain.
Those Modules are imported once web support is enabled and com.fasterxml.jackson.databind.ObjectMapper
is available.
During initialization SpringDataJacksonModules
, like the SpringDataJacksonConfiguration
, get picked up by the infrastructure, so that the declared com.fasterxml.jackson.databind.Module
s are made available to the Jackson ObjectMapper
.
Data binding mixins for the following domain types are registered by the common infrastructure.
org.springframework.data.geo.Distance
org.springframework.data.geo.Point
org.springframework.data.geo.Box
org.springframework.data.geo.Circle
org.springframework.data.geo.Polygon
The individual module may provide additional SpringDataJacksonModules
.
Please refer to the store specific section for more details.
Web Databinding Support
You can use Spring Data projections (described in [projections]) to bind incoming request payloads by using either JSONPath expressions (requires Jayway JsonPath) or XPath expressions (requires XmlBeam), as the following example shows:
Example 50. HTTP payload binding using JSONPath or XPath expressions
@ProjectedPayload
public interface UserPayload {
@XBRead("//firstname")
@JsonPath("$..firstname")
String getFirstname();
@XBRead("/lastname")
@JsonPath({ "$.lastname", "$.user.lastname" })
String getLastname();
}
You can use the type shown in the preceding example as a Spring MVC handler method argument or by using ParameterizedTypeReference
on one of methods of the RestTemplate
.
The preceding method declarations would try to find firstname
anywhere in the given document.
The lastname
XML lookup is performed on the top-level of the incoming document.
The JSON variant of that tries a top-level lastname
first but also tries lastname
nested in a user
sub-document if the former does not return a value.
That way, changes in the structure of the source document can be mitigated easily without having clients calling the exposed methods (usually a drawback of class-based payload binding).
Nested projections are supported as described in [projections].
If the method returns a complex, non-interface type, a Jackson ObjectMapper
is used to map the final value.
For Spring MVC, the necessary converters are registered automatically as soon as @EnableSpringDataWebSupport
is active and the required dependencies are available on the classpath.
For usage with RestTemplate
, register a ProjectingJackson2HttpMessageConverter
(JSON) or XmlBeamHttpMessageConverter
manually.
For more information, see the web projection example in the canonical Spring Data Examples repository.
Querydsl Web Support
For those stores that have QueryDSL integration, you can derive queries from the attributes contained in a Request
query string.
Consider the following query string:
?firstname=Dave&lastname=Matthews
Given the User
object from the previous examples, you can resolve a query string to the following value by using the QuerydslPredicateArgumentResolver
, as follows:
QUser.user.firstname.eq("Dave").and(QUser.user.lastname.eq("Matthews"))
The feature is automatically enabled, along with @EnableSpringDataWebSupport
, when Querydsl is found on the classpath.
Adding a @QuerydslPredicate
to the method signature provides a ready-to-use Predicate
, which you can run by using the QuerydslPredicateExecutor
.
Type information is typically resolved from the method’s return type.
Since that information does not necessarily match the domain type, it might be a good idea to use the root
attribute of QuerydslPredicate
.
The following example shows how to use @QuerydslPredicate
in a method signature:
@Controller
class UserController {
@Autowired UserRepository repository;
@RequestMapping(value = "/", method = RequestMethod.GET)
String index(Model model, @QuerydslPredicate(root = User.class) Predicate predicate, (1)
Pageable pageable, @RequestParam MultiValueMap<String, String> parameters) {
model.addAttribute("users", repository.findAll(predicate, pageable));
return "index";
}
}
1
Resolve query string arguments to matching Predicate
for User
.
The default binding is as follows:
-
Object
on simple properties as eq
.
-
Object
on collection like properties as contains
.
-
Collection
on simple properties as in
.
You can customize those bindings through the bindings
attribute of @QuerydslPredicate
or by making use of Java 8 default methods
and adding the QuerydslBinderCustomizer
method to the repository interface, as follows:
interface UserRepository extends CrudRepository<User, String>,
QuerydslPredicateExecutor<User>, (1)
QuerydslBinderCustomizer<QUser> { (2)
@Override
default void customize(QuerydslBindings bindings, QUser user) {
bindings.bind(user.username).first((path, value) -> path.contains(value)) (3)
bindings.bind(String.class)
.first((StringPath path, String value) -> path.containsIgnoreCase(value)); (4)
bindings.excluding(user.password); (5)
}
}
1
QuerydslPredicateExecutor
provides access to specific finder methods for Predicate
.
2
QuerydslBinderCustomizer
defined on the repository interface is automatically picked up and shortcuts @QuerydslPredicate(bindings=…)
.
3
Define the binding for the username
property to be a simple contains
binding.
4
Define the default binding for String
properties to be a case-insensitive contains
match.
5
Exclude the password
property from Predicate
resolution.
You can register a QuerydslBinderCustomizerDefaults
bean holding default Querydsl bindings before applying specific bindings from the repository or @QuerydslPredicate
.
2.8.3. Repository Populators
If you work with the Spring JDBC module, you are probably familiar with the support for populating a DataSource
with 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 called data.json
with the following content:
Example 51. Data defined in JSON
[ { "_class" : "com.acme.Person",
"firstname" : "Dave",
"lastname" : "Matthews" },
{ "_class" : "com.acme.Person",
"firstname" : "Carter",
"lastname" : "Beauford" } ]
You can 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
, declare a populator similar to the following:
Example 52. 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
https://www.springframework.org/schema/beans/spring-beans.xsd
http://www.springframework.org/schema/data/repository
https://www.springframework.org/schema/data/repository/spring-repository.xsd">
<repository:jackson2-populator locations="classpath:data.json" />
</beans>
The preceding declaration causes the data.json
file to be read and deserialized by a Jackson ObjectMapper
.
The type to which the JSON object is unmarshalled is determined by inspecting the _class
attribute of the JSON document.
The infrastructure eventually selects the appropriate repository to handle the object that was deserialized.
To instead use XML to define the data the repositories should be populated with, you can use the unmarshaller-populator
element.
You configure it to use one of the XML marshaller options available in Spring OXM. See the Spring reference documentation for details.
The following example shows how to unmarshall a repository populator with JAXB:
Example 53. 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
https://www.springframework.org/schema/beans/spring-beans.xsd
http://www.springframework.org/schema/data/repository
https://www.springframework.org/schema/data/repository/spring-repository.xsd
http://www.springframework.org/schema/oxm
https://www.springframework.org/schema/oxm/spring-oxm.xsd">
<repository:unmarshaller-populator locations="classpath:data.json"
unmarshaller-ref="unmarshaller" />
<oxm:jaxb2-marshaller contextPath="com.acme" />
</beans>