© 2008-2018 The original author(s).
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- Preface
- 1. Knowing Spring
- 2. Knowing NoSQL and Cassandra
- 3. Requirements
- 4. Additional Help Resources
- 5. New & Noteworthy
- 6. Dependencies
- 7. Working with Spring Data Repositories
- Reference Documentation
- 8. Introduction
- 9. Cassandra support
- 9.1. Getting Started
- 9.2. Examples Repository
- 9.3. Connecting to Cassandra with Spring
- 9.4. Schema Management
- 9.5. CqlTemplate
- 9.6. Exception Translation
- 9.7. Controlling Cassandra connections
- 9.8. Introduction to
CassandraTemplate
- 9.9. Saving, Updating, and Removing Rows
- 9.10. Querying Rows
- 9.11. Overriding default mapping with custom converters
- 10. Reactive Cassandra support
- 11. Cassandra Repositories
- 12. Reactive Cassandra Repositories
- 13. Mapping
- Appendix
- Appendix A: Namespace reference
- Appendix B: Populators namespace reference
- Appendix C: Repository query keywords
- Appendix D: Repository query return types
- Appendix E: Migration Guides
- Migration Guide from Spring Data Cassandra 1.x to 2.x
- Deprecations
- Merged Spring CQL and Spring Data Cassandra modules
- Revised
CqlTemplate
/CassandraTemplate
- Removed CassandraOperations.selectBySimpleIds
- Better names for CassandraRepository
- Removed SD Cassandra
ConsistencyLevel
andRetryPolicy
types in favor of DataStaxConsistencyLevel
andRetryPolicy
types - Refactored CQL specifications to value objects/configurators
- Refactored
QueryOptions
to be immutable objects - Refactored
CassandraPersistentProperty
to single-column
- Migration Guide from Spring Data Cassandra 1.x to 2.x
Preface
The Spring Data for Apache Cassandra project applies core Spring concepts to the development of solutions using the Cassandra Columnar data store. A "template" is provided as a high-level abstraction for storing and querying documents. You will notice similarities to the JDBC support in the core Spring Framework.
This document is the reference guide for Spring Data support for Cassandra. It explains Cassandra module concepts, semantics and the syntax for various stores namespaces.
This section provides a basic introduction to Spring, Spring Data and the Cassandra database. The rest of the document refers only to Spring Data for Apache Cassandra features and assumes the user is familiar with Cassandra as well as core Spring concepts.
1. Knowing Spring
Spring Data uses the Spring Framework’s core functionality, such as the IoC container, validation, type conversion and data binding, expression language, AOP, JMX integration, DAO support, and specifically the DAO Exception Hierarchy.
While it is not important to know the Spring APIs, understanding the concepts behind them is. At a minimum, the idea behind IoC should be familiar no matter what IoC container you choose to use.
The core functionality of the Cassandra support can be used directly, with no need to invoke the IoC services
of the Spring container. This is much like JdbcTemplate
, which can be used 'standalone' without any other services
of the Spring container. To leverage all the features of Spring Data for Apache Cassandra, such as the repository support,
you will need to configure some parts of the library using Spring.
To learn more about Spring, you can refer to the comprehensive (and sometimes disarming) documentation that explains in detail the Spring Framework. There are a lot of articles, blog entries and books on the matter. Take a look at the Spring Framework home page for more information.
2. Knowing NoSQL and Cassandra
NoSQL stores have taken the storage world by storm. It is a vast domain with a plethora of solutions, terms and patterns (to make things worse, even the term itself has multiple meanings). While some of the principles are common, it is crucial that the user is familiar to some degree with the Cassandra Columnar NoSQL Datastore supported by Spring Data for Apache Cassandra. The best way to get acquainted with Cassandra is to read the documentation and follow the examples. It usually doesn’t take more then 5-10 minutes to go through them and if you are coming from a RDBMS background, many times these exercises can be an eye opener.
The starting ground for learning about Cassandra is cassandra.apache.org. Also, here is a list of other useful resources:
-
Planet Cassandra site has many valuable resources for Cassandra best practices.
-
The DataStax site offers commercial support and many resources, including, but not limited to, documentation, DataStax Academy, a Tech Blog and so on.
-
The Cassandra Quick Start provides a convenient way to interact with a Apache Cassandra instance in combination with the online shell.
3. Requirements
Spring Data for Apache Cassandra 1.x binaries require JDK level 6.0 and above, and Spring Framework 5.0.3.RELEASE and above.
In terms of Cassandra at least 2.0.
4. Additional Help Resources
Learning a new framework is not always straight forward. In this section, we try to provide what we think is an easy to follow guide for starting with Spring Data for Apache Cassandra module. However, if you encounter issues or you are just looking for an advice, feel free to use one of the links below:
4.1. Support
There are a few support options available:
4.1.1. Community Forum
Spring Data on Stackoverflow is a tag for all Spring Data (not just Cassandra) users to share information and help each other. Note that registration is needed only for posting.
Developers post questions and answers on . The two key tags to search for related answers to this project are:
4.1.2. Professional Support
Professional, from-the-source support, with guaranteed response time, is available from Pivotal Sofware, Inc., the company behind Spring Data and Spring.
4.2. Following Development
For information on the Spring Data for Apache Cassandra source code repository, nightly builds and snapshot artifacts please see the Spring Data for Apache Cassandra homepage. You can help make Spring Data best serve the needs of the Spring community by interacting with developers through the Community on Stackoverflow. To follow developer activity look for the mailing list information on the Spring Data for Apache Cassandra homepage. If you encounter a bug or want to suggest an improvement, please create a ticket on the Spring Data issue tracker. To stay up to date with the latest news and announcements in the Spring eco system, subscribe to the Spring Community Portal. Lastly, you can follow the Spring blog or the project team on Twitter (SpringData).
4.3. Project Metadata
-
Version Control - https://github.com/spring-projects/spring-data-cassandra
-
Bugtracker - https://jira.spring.io/browse/DATACASS
-
Release repository - https://repo.spring.io/libs-release
-
Milestone repository - https://repo.spring.io/libs-milestone
-
Snapshot repository - https://repo.spring.io/libs-snapshot
5. New & Noteworthy
This chapter summarizes changes and new features for each release.
5.1. What’s new in Spring Data for Apache Cassandra 2.1
-
New annotations for
@CountQuery
and@ExistsQuery
. -
Template API extended with
count(…)
andexists(…)
methods acceptingQuery
. -
Fluent API for CRUD operations.
-
Cassandra Tuple support via
TupleValue
. -
Support for
map
columns using User-defined/converted types.
5.2. What’s new in Spring Data for Apache Cassandra 2.0
-
Upgraded to Java 8.
-
Merged
spring-cql
andspring-data-cassandra
modules into a single module and re-packagedorg.springframework.cql
toorg.springframework.data.cassandra
. -
Revised
CqlTemplate
,AsyncCqlTemplate
,CassandraTemplate
andAsyncCassandraTemplate
implementations. -
Added routing capabilities via
SessionFactory
andAbstractRoutingSessionFactory
. -
Introduced
Update
andQuery
objects. -
Renamed CRUD Repository interface:
CassandraRepository
usingMapId
is now renamed toMapIdCassandraRepository
.TypedIdCassandraRepository
is renamed toCassandraRepository
. -
Pagination via
PagingState
andCassandraPageRequest
. -
Interface and DTO projections in Repository query methods.
-
Lightweight transaction support via
InsertOptions
andUpdateOptions
using the Template API. -
Query options for Repository query methods.
-
Introduced new annotation for
@AllowFiltering
. -
Index creation on application startup via
@Indexed
and@SASI
. -
Tooling support for null-safety via Spring’s
@NonNullApi
and@Nullable
annotations.
5.3. What’s new in Spring Data for Apache Cassandra 1.5
-
Assert compatibility with Cassandra 3.0 and Cassandra Java Driver 3.0.
-
Added configurable
ProtocolVersion
andQueryOptions
onCluster
level. -
Support for
Optional
as query method result and argument. -
Declarative query methods using query derivation
-
Support for User-Defined types and mapped User-Defined types using
@UserDefinedType
. -
The following annotations enable building custom, composed annotations:
@Table
,@UserDefinedType
,@PrimaryKey
,@PrimaryKeyClass
,@PrimaryKeyColumn
,@Column
,@Query
,@CassandraType
.
6. Dependencies
Due to different inception dates of individual Spring Data modules, most of them carry different major and minor version numbers. The easiest way to find compatible ones is by relying on the Spring Data Release Train BOM we ship with the compatible versions defined. In a Maven project you’d declare this dependency in the <dependencyManagement />
section of your POM:
<dependencyManagement>
<dependencies>
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-releasetrain</artifactId>
<version>${release-train}</version>
<scope>import</scope>
<type>pom</type>
</dependency>
</dependencies>
</dependencyManagement>
The current release train version is Lovelace-M1
. The train names are ascending alphabetically and currently available ones are listed here. The version name follows the following pattern: ${name}-${release}
where release can be one of the following:
-
BUILD-SNAPSHOT
- current snapshots -
M1
,M2
etc. - milestones -
RC1
,RC2
etc. - release candidates -
RELEASE
- GA release -
SR1
,SR2
etc. - service releases
A working example of using the BOMs can be found in our Spring Data examples repository. If that’s in place declare the Spring Data modules you’d like to use without a version in the <dependencies />
block.
<dependencies>
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-jpa</artifactId>
</dependency>
<dependencies>
6.1. Dependency management with Spring Boot
Spring Boot already selects a very recent version of Spring Data modules for you. In case you want to upgrade to a newer version nonetheless, simply configure the property spring-data-releasetrain.version
to the train name and iteration you’d like to use.
7. Working with Spring Data Repositories
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.
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. Namespace reference covers XML configuration which is supported across all Spring Data modules supporting the repository API, Repository query keywords covers the query method keywords supported by the repository abstraction in general. For detailed information on the specific features of your module, consult the chapter on that module of this document. |
7.1. Core concepts
The central interface in Spring Data repository abstraction is Repository
(probably not that much of a surprise). It takes the domain class to manage as well as the id type of the domain class as type arguments. This interface acts primarily as a marker interface to capture the types to work with and to help you to discover interfaces that extend this one. The CrudRepository
provides sophisticated CRUD functionality for the entity class that is being managed.
public interface CrudRepository<T, ID extends Serializable>
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 | Saves the given entity. |
2 | Returns the entity identified by the given id. |
3 | Returns all entities. |
4 | Returns the number of entities. |
5 | Deletes the given entity. |
6 | Indicates whether an entity with the given id exists. |
We also provide persistence technology-specific abstractions like e.g. JpaRepository or MongoRepository . Those interfaces extend CrudRepository and expose the capabilities of the underlying persistence technology in addition to the rather generic persistence technology-agnostic interfaces like e.g. CrudRepository.
|
On top of the CrudRepository
there is a PagingAndSortingRepository
abstraction that adds additional methods to ease paginated access to entities:
public interface PagingAndSortingRepository<T, ID extends Serializable>
extends CrudRepository<T, ID> {
Iterable<T> findAll(Sort sort);
Page<T> findAll(Pageable pageable);
}
Accessing the second page of User
by a page size of 20 you could simply do something like this:
PagingAndSortingRepository<User, Long> repository = // … get access to a bean
Page<User> users = repository.findAll(new PageRequest(1, 20));
In addition to query methods, query derivation for both count and delete queries, is available.
interface UserRepository extends CrudRepository<User, Long> {
long countByLastname(String lastname);
}
interface UserRepository extends CrudRepository<User, Long> {
long deleteByLastname(String lastname);
List<User> removeByLastname(String lastname);
}
7.2. Query methods
Standard CRUD functionality repositories usually have queries on the underlying datastore. With Spring Data, declaring those queries becomes a four-step process:
-
Declare an interface extending Repository or one of its subinterfaces and type it to the domain class and ID type that it will handle.
interface PersonRepository extends Repository<Person, Long> { … }
-
Declare query methods on the interface.
interface PersonRepository extends Repository<Person, Long> { List<Person> findByLastname(String lastname); }
-
Set up Spring to create proxy instances for those interfaces. Either via JavaConfig:
import org.springframework.data.jpa.repository.config.EnableJpaRepositories; @EnableJpaRepositories class Config {}
or via XML configuration:
<?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:jpa="http://www.springframework.org/schema/data/jpa" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/data/jpa http://www.springframework.org/schema/data/jpa/spring-jpa.xsd"> <jpa:repositories base-package="com.acme.repositories"/> </beans>
The JPA namespace is used in this example. If you are using the repository abstraction for any other store, you need to change this to the appropriate namespace declaration of your store module which should be exchanging
jpa
in favor of, for example,mongodb
.Also, note that the JavaConfig variant doesn’t configure a package explictly as the package of the annotated class is used by default. To customize the package to scan use one of the
basePackage…
attribute of the data-store specific repository@Enable…
-annotation. -
Get the repository instance injected and use it.
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.
7.3. Defining repository interfaces
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
.
7.3.1. Fine-tuning repository definition
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.
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> {
Optional<T> findById(ID id);
<S extends T> S save(S 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 findById(…)
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, 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.
|
7.3.2. 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 to return other wrapper types on query methods:
-
com.google.common.base.Optional
-
scala.Option
-
io.vavr.control.Option
-
javaslang.control.Option
(deprecated as Javaslang is deprecated)
Alternatively query methods can choose not to use a wrapper type at all.
The absence of a query result will then be 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 using Spring Framework’s nullability annotations.
They provide a tooling-friendly approach and opt-in null
checks during runtime:
-
@NonNullApi
– to be used on the package level to declare that the default behavior for parameters and return values is to not accept or producenull
values. -
@NonNull
– to be used on a parameter or return value that must not benull
(not needed on parameter and return value where@NonNullApi
applies). -
@Nullable
– to be used on a parameter or return value that can benull
.
Spring annotations are meta-annotated with JSR 305 annotations (a dormant but widely spread JSR). JSR 305 meta-annotations allow tooling vendors like IDEA, Eclipse, or Kotlin to 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 package level using Spring’s @NonNullApi
in package-info.java
:
package-info.java
@org.springframework.lang.NonNullApi
package com.acme;
Once non-null defaulting is in place, repository query method invocations will get validated at runtime for nullability constraints.
Exceptions will be thrown in case a query execution result violates the defined constraint, i.e. the method would return null
for some reason but is declared as non-nullable (the default with the annotation defined on the package the repository resides in).
If you want to opt-in to nullable results again, selectively use @Nullable
that a method.
Using the aforementioned result wrapper types will continue to work as expected, i.e. an empty result will be translated into the value representing absence.
package com.acme; (1)
import org.springframework.lang.Nullable;
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’ve defined non-null behavior (see above). |
2 | Will throw an EmptyResultDataAccessException in case the query executed does not produce a result. Will throw an IllegalArgumentException in case the emailAddress handed to the method is null . |
3 | Will return null in case the query executed does not produce a result. Also accepts null as value for emailAddress . |
4 | Will return Optional.empty() in case the query executed does not produce a result. Will throw an IllegalArgumentException in case 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 using method signatures but rather 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:
interface UserRepository : Repository<User, String> {
fun findByUsername(username: String): User (1)
fun findByFirstname(firstname: String?): User? (2)
}
1 | The method defines both, the parameter as non-nullable (the Kotlin default) as well as the result. The Kotlin compiler will already reject method invocations trying to hand null into the method. In case the query execution yields an empty result, an EmptyResultDataAccessException will be thrown. |
2 | This method accepts null as parameter for firstname and returns null in case the query execution does not produce a result. |
7.3.3. Using Repositories with multiple Spring Data modules
Using a unique Spring Data module in your application makes things simple hence, 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 case, it’s required for a repository definition to distinguish between persistence technologies. Spring Data enters strict repository configuration mode because it detects multiple repository factories on the class path. Strict configuration requires 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, then it’s a valid candidate for the particular Spring Data module.
-
If the domain class is annotated with the module-specific type annotation, then it’s a valid candidate for the particular Spring Data module. Spring Data modules accept either 3rd party annotations (such as JPA’s
@Entity
) or provide own annotations such as@Document
for Spring Data MongoDB/Spring Data Elasticsearch.
interface MyRepository extends JpaRepository<User, Long> { }
@NoRepositoryBean
interface MyBaseRepository<T, ID extends Serializable> 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.
interface AmbiguousRepository extends Repository<User, Long> {
…
}
@NoRepositoryBean
interface MyBaseRepository<T, ID extends Serializable> 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 perfectly fine using a unique Spring Data module, multiple modules cannot distinguish to which particular Spring Data these repositories should be bound.
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 annotation @Entity
so this repository clearly belongs to Spring Data JPA. UserRepository
uses User
annotated with Spring Data MongoDB’s @Document
annotation.
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 identifying domain class annotations are used for strict repository configuration identify repository candidates for a particular Spring Data module. Using multiple persistence technology-specific annotations on the same domain type is possible to reuse domain types across multiple persistence technologies, but then Spring Data is no longer able to determine a unique module to bind the repository.
The last way to distinguish repositories is scoping repository base packages. Base packages define the starting points for scanning for repository interface definitions which implies to have 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.
@EnableJpaRepositories(basePackages = "com.acme.repositories.jpa")
@EnableMongoRepositories(basePackages = "com.acme.repositories.mongo")
interface Configuration { }
7.4. Defining query methods
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 a manually defined query. Available options depend on the actual store. However, there’s got to be a strategy that decides what actual query is created. Let’s have a look at the available options.
7.4.1. Query lookup strategies
The following strategies are available for the repository infrastructure to resolve the query. You can configure the strategy at the namespace through the query-lookup-strategy
attribute in case of XML configuration or via the queryLookupStrategy
attribute of the Enable${store}Repositories annotation in case of Java config. Some strategies may not be supported for particular datastores.
-
CREATE
attempts to construct a store-specific query from the query method name. The general approach is to remove a given set of well-known prefixes from the method name and parse the rest of the method. Read more about query construction in Query creation. -
USE_DECLARED_QUERY
tries to find a declared query and will throw an exception in case it can’t find one. The query can be defined by an annotation somewhere or declared by other means. Consult the documentation of the specific store to find available options for that store. If the repository infrastructure does not find a declared query for the method at bootstrap time, it fails. -
CREATE_IF_NOT_FOUND
(default) combinesCREATE
andUSE_DECLARED_QUERY
. It looks up a declared query first, and if no declared query is found, it creates a custom method name-based query. This is the default lookup strategy and thus will be used if you do not configure anything explicitly. It allows quick query definition by method names but also custom-tuning of these queries by introducing declared queries as needed.
7.4.2. Query creation
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
.
interface PersonRepository extends Repository<User, Long> {
List<Person> findByEmailAddressAndLastname(EmailAddress emailAddress, String lastname);
// Enables the distinct flag for the query
List<Person> findDistinctPeopleByLastnameOrFirstname(String lastname, String firstname);
List<Person> findPeopleDistinctByLastnameOrFirstname(String lastname, String firstname);
// Enabling ignoring case for an individual property
List<Person> findByLastnameIgnoreCase(String lastname);
// Enabling ignoring case for all suitable properties
List<Person> findByLastnameAndFirstnameAllIgnoreCase(String lastname, String firstname);
// Enabling static ORDER BY for a query
List<Person> findByLastnameOrderByFirstnameAsc(String lastname);
List<Person> findByLastnameOrderByFirstnameDesc(String lastname);
}
The actual result of parsing the method depends on the persistence store for which you create the query. However, there are some general things to notice.
-
The expressions are usually property traversals combined with operators that can be concatenated. You can combine property expressions with
AND
andOR
. You also get support for operators such asBetween
,LessThan
,GreaterThan
,Like
for the property expressions. The supported operators can vary by datastore, so consult the appropriate part of your reference documentation. -
The method parser supports setting an
IgnoreCase
flag for individual properties (for example,findByLastnameIgnoreCase(…)
) or for all properties of a type that support ignoring case (usuallyString
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
orDesc
). To create a query method that supports dynamic sorting, see Special parameter handling.
7.4.3. 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. Assume a Person
has an Address
with a ZipCode
. 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);
As we treat underscore as a reserved character we strongly advise to follow standard Java naming conventions (i.e. not using underscores in property names but camel case instead).
7.4.4. Special parameter handling
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);
Slice<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. 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, Slice
can be used as return instead. A Slice
only knows about whether there’s a next Slice
available which might be just sufficient when walking through a larger result set.
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.
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. |
7.4.5. Limiting query results
The results of query methods can be limited via the keywords first
or top
, which can be used interchangeably. An optional numeric value can be appended to top/first to specify the maximum result size to be returned.
If the number is left out, a result size of 1 is assumed.
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. Also, for the queries limiting the result set to one instance, wrapping the result into an Optional
is supported.
If pagination or slicing is applied to a limiting query pagination (and the calculation of the number of pages available) then it is applied within the limited result.
Note that limiting the results in combination with dynamic sorting via a Sort parameter allows to express query methods for the 'K' smallest as well as for the 'K' biggest elements.
|
7.4.6. Streaming query results
The results of query methods can be processed incrementally by using a Java 8 Stream<T>
as return type. Instead of simply wrapping the query results in a Stream
data store specific methods are used to perform the streaming.
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 using the close() method or by using a Java 7 try-with-resources block.
|
Stream<T>
result in a try-with-resources blocktry (Stream<User> stream = repository.findAllByCustomQueryAndStream()) {
stream.forEach(…);
}
Not all Spring Data modules currently support Stream<T> as a return type.
|
7.4.7. Async query results
Repository queries can be executed asynchronously using Spring’s asynchronous method execution capability. This means the method will return immediately upon invocation and the actual query execution will occur in a task that has been submitted to a Spring TaskExecutor.
@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 return type. |
2 | Use a Java 8 java.util.concurrent.CompletableFuture as return type. |
3 | Use a org.springframework.util.concurrent.ListenableFuture as return type. |
7.5. Creating repository instances
In this section you create instances and bean definitions for the repository interfaces defined. One way to do so is using the Spring namespace that is shipped with each Spring Data module that supports the repository mechanism although we generally recommend to use the Java-Config style configuration.
7.5.1. XML configuration
Each Spring Data module includes a repositories element that allows you to simply define a base package that Spring scans for you.
<?xml version="1.0" encoding="UTF-8"?>
<beans:beans xmlns:beans="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns="http://www.springframework.org/schema/data/jpa"
xsi:schemaLocation="http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans.xsd
http://www.springframework.org/schema/data/jpa
http://www.springframework.org/schema/data/jpa/spring-jpa.xsd">
<repositories base-package="com.acme.repositories" />
</beans:beans>
In the preceding example, Spring is instructed to scan com.acme.repositories
and all its 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
. 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 extending 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 bean instances get created for. To do this you use <include-filter />
and <exclude-filter />
elements inside <repositories />
. The semantics are exactly equivalent to the elements in Spring’s context namespace. For details, see Spring reference documentation on these elements.
For example, to exclude certain interfaces from instantiation as repository, you could use the following configuration:
<repositories base-package="com.acme.repositories">
<context:exclude-filter type="regex" expression=".*SomeRepository" />
</repositories>
This example excludes all interfaces ending in SomeRepository
from being instantiated.
7.5.2. JavaConfig
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
EntityManagerFactory entityManagerFactory() {
// …
}
}
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.
|
7.5.3. Standalone usage
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);
7.6. Custom implementations for Spring Data repositories
In this section you will learn about repository customization and how fragments form a composite repository.
When query method require a different behavior or can’t be implemented by query derivation than it’s necessary to provide a custom implementation. Spring Data repositories easily allow you to provide custom repository code and integrate it with generic CRUD abstraction and query method functionality.
7.6.1. Customizing individual repositories
To enrich a repository with custom functionality, you first define a fragment interface and an implementation for the custom functionality. Then let your repository interface additionally extend from the fragment interface.
interface CustomizedUserRepository {
void someCustomMethod(User user);
}
class CustomizedUserRepositoryImpl implements CustomizedUserRepository {
public void someCustomMethod(User user) {
// Your custom implementation
}
}
The most important bit for the class to be found is the Impl postfix of the name on it compared to the fragment interface.
|
The implementation itself does not depend on Spring Data and can be a regular Spring bean. So you can use standard dependency injection behavior to inject references to other beans like a JdbcTemplate
, take part in aspects, and so on.
interface UserRepository extends CrudRepository<User, Long>, CustomizedUserRepository {
// Declare query methods here
}
Let your repository interface extend the fragment one. Doing so 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 implementation. 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.
interface HumanRepository {
void someHumanMethod(User user);
}
class HumanRepositoryImpl implements HumanRepository {
public void someHumanMethod(User user) {
// Your custom implementation
}
}
interface EmployeeRepository {
void someEmployeeMethod(User user);
User anotherEmployeeMethod(User user);
}
class ContactRepositoryImpl implements ContactRepository {
public void someContactMethod(User user) {
// Your custom implementation
}
public User anotherContactMethod(User user) {
// Your custom implementation
}
}
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 allows you to override base repository and aspect methods and resolves ambiguity if two fragments contribute the same method signature. Repository fragments are not limited to be used in a single repository interface. Multiple repositories may use a fragment interface to reuse customizations across different repositories.
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
}
}
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 we found a repository in. These classes need to follow the naming convention of appending the namespace element’s attribute repository-impl-postfix
to the found fragment interface name. This postfix defaults to Impl
.
<repositories base-package="com.acme.repository" />
<repositories base-package="com.acme.repository" repository-impl-postfix="FooBar" />
The first configuration example will try to look up a class com.acme.repository.CustomizedUserRepositoryImpl
to act as custom repository implementation, whereas the second example will try to lookup com.acme.repository.CustomizedUserRepositoryFooBar
.
Resolution of ambiguity
If multiple implementations with matching class names get found in different packages, Spring Data uses the bean names to identify the correct one to use.
Given the following two custom implementations for the CustomizedUserRepository
introduced above the first implementation will get picked.
Its bean name is customizedUserRepositoryImpl
matches that of the fragment interface (CustomizedUserRepository
) plus the postfix Impl
.
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
matches the one defined for the repository implementation in com.acme.impl.two
and it will be picked instead of the first one.
Manual wiring
The approach just shown works well if your custom implementation uses annotation-based configuration and autowiring only, as it will be treated as any other Spring bean. If your implementation fragment bean needs special wiring, you simply declare the bean and name it after the conventions just described. The infrastructure will then refer to the manually defined bean definition by name instead of creating one itself.
<repositories base-package="com.acme.repository" />
<beans:bean id="userRepositoryImpl" class="…">
<!-- further configuration -->
</beans:bean>
7.6.2. Customize the base repository
The preceding approach requires customization of all repository interfaces when you want to customize the base repository behavior, so all repositories are affected. To change behavior for all repositories, you need to create an implementation that extends the persistence technology-specific repository base class. This class will then act as a custom base class for the repository proxies.
class MyRepositoryImpl<T, ID extends Serializable>
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 is using. In case the repository base class has multiple constructors, override the one taking an EntityInformation plus a store specific infrastructure object (e.g. an EntityManager or a template class).
|
The final step is to make the Spring Data infrastructure aware of the customized repository base class. In JavaConfig this is achieved by using the repositoryBaseClass
attribute of the @Enable…Repositories
annotation:
@Configuration
@EnableJpaRepositories(repositoryBaseClass = MyRepositoryImpl.class)
class ApplicationConfiguration { … }
A corresponding attribute is available in the XML namespace.
<repositories base-package="com.acme.repository"
base-class="….MyRepositoryImpl" />
7.7. 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 @DomainEvents
you can use on a method of your aggregate root to make that publication as easy as possible.
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 using @DomainEvents can either return a single event instance or a collection of events. It must not take any arguments. |
2 | After all events have been published, a method annotated with @AfterDomainEventPublication . It e.g. can be used to potentially clean the list of events to be published. |
The methods will be called every time one of a Spring Data repository’s save(…)
methods is called.
7.8. 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.
7.8.1. Querydsl Extension
Querydsl is a framework which enables the construction of statically typed SQL-like queries via its fluent API.
Several Spring Data modules offer integration with Querydsl via QueryDslPredicateExecutor
.
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 if an entity that matches the Predicate exists. |
To make use of Querydsl support simply extend QueryDslPredicateExecutor
on your repository interface.
interface UserRepository extends CrudRepository<User, Long>, QueryDslPredicateExecutor<User> {
}
The above enables to write typesafe queries using Querydsl Predicate
s.
Predicate predicate = user.firstname.equalsIgnoreCase("dave")
.and(user.lastname.startsWithIgnoreCase("mathews"));
userRepository.findAll(predicate);
7.8.2. Web support
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 Legacy web support. |
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.
@Configuration
@EnableWebMvc
@EnableSpringDataWebSupport
class WebConfiguration {}
The @EnableSpringDataWebSupport
annotation registers a few components we will discuss in a bit. It will also detect Spring HATEOAS on the classpath and register integration components for it as well if present.
Alternatively, if you are using XML configuration, register either SpringDataWebSupport
or HateoasAwareSpringDataWebSupport
as Spring beans:
<bean class="org.springframework.data.web.config.SpringDataWebConfiguration" />
<!-- If you're using Spring HATEOAS as well register this one *instead* of the former -->
<bean class="org.springframework.data.web.config.HateoasAwareSpringDataWebConfiguration" />
Basic web support
The configuration setup shown above will register a few basic components:
-
A
DomainClassConverter
to enable Spring MVC to resolve instances of repository managed domain classes from request parameters or path variables. -
HandlerMethodArgumentResolver
implementations to let Spring MVC resolvePageable
andSort
instances from request parameters.
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:
@Controller
@RequestMapping("/users")
class UserController {
@RequestMapping("/{id}")
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 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 above also registers a PageableHandlerMethodArgumentResolver
as well as an instance of SortHandlerMethodArgumentResolver
. The registration enables Pageable
and Sort
being valid controller method arguments
@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";
}
}
This method signature will cause Spring MVC try to derive a Pageable instance from the request parameters using the following default configuration:
|
Page you want to retrieve, 0 indexed and defaults to 0. |
|
Size of the page you want to retrieve, defaults to 20. |
|
Properties that should be sorted by in the format |
To customize this behavior register a bean implementing the interface PageableHandlerMethodArgumentResolverCustomizer
or SortHandlerMethodArgumentResolverCustomizer
respectively. It’s customize()
method will get called allowing you to change settings. Like in the following example.
@Bean SortHandlerMethodArgumentResolverCustomizer sortCustomizer() {
return s -> s.setPropertyDelimiter("<-->");
}
If setting the properties of an existing MethodArgumentResolver
isn’t sufficient for your purpose 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
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}_
. So for a method signature like this:
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 @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, 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:
-
The content of the
Page
will become the content of thePagedResources
instance. -
The
PagedResources
will get aPageMetadata
instance attached populated with information form thePage
and the underlyingPageRequest
. -
The
PagedResources
getsprev
andnext
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 thePageableHandlerMethodArgumentResolver
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.
Web databinding support
Spring Data projections – generally described in Projections – can be used to bind incoming request payloads by either using JSONPath expressions (requires Jayway JasonPath or XPath expressions (requires XmlBeam).
@ProjectedPayload
public interface UserPayload {
@XBRead("//firstname")
@JsonPath("$..firstname")
String getFirstname();
@XBRead("/lastname")
@JsonPath({ "$.lastname", "$.user.lastname" })
String getLastname();
}
The type above can be used as Spring MVC handler method argument or via ParameterizedTypeReference
on one of RestTemplate
's methods.
The method declarations above would try to find firstname
anywhere in the given document.
The lastname
XML looup 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 in case the former doesn’t return a value.
That way changes if the structure of the source document can be mitigated easily without having to touch 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 having QueryDSL integration it is possible to derive queries from the attributes contained in a Request
query string.
This means that given the User
object from previous samples a query string
?firstname=Dave&lastname=Matthews
can be resolved to
QUser.user.firstname.eq("Dave").and(QUser.user.lastname.eq("Matthews"))
using the QuerydslPredicateArgumentResolver
.
The feature will be automatically enabled along @EnableSpringDataWebSupport when Querydsl is found on the classpath.
|
Adding a @QuerydslPredicate
to the method signature will provide a ready to use Predicate
which can be executed via the QueryDslPredicateExecutor
.
Type information is typically resolved from the methods return type. Since those information does not necessarily match the domain type it might be a good idea to use the root attribute of QuerydslPredicate .
|
@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 aseq
. -
Object
on collection like properties ascontains
. -
Collection
on simple properties asin
.
Those bindings can be customized via the bindings
attribute of @QuerydslPredicate
or by making use of Java 8 default methods
adding the QuerydslBinderCustomizer
to the repository interface.
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 will be 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. |
7.8.3. Repository populators
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:
[ { "_class" : "com.acme.Person",
"firstname" : "Dave",
"lastname" : "Matthews" },
{ "_class" : "com.acme.Person",
"firstname" : "Carter",
"lastname" : "Beauford" } ]
You can easily populate your repositories by using the populator elements of the repository namespace provided in Spring Data Commons. To populate the preceding data to your PersonRepository , do the following:
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:repository="http://www.springframework.org/schema/data/repository"
xsi:schemaLocation="http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans.xsd
http://www.springframework.org/schema/data/repository
http://www.springframework.org/schema/data/repository/spring-repository.xsd">
<repository:jackson2-populator locations="classpath:data.json" />
</beans>
This declaration causes the data.json
file to
be read and deserialized via a Jackson ObjectMapper
.
The type to which the JSON object will be unmarshalled to will be determined by inspecting the \_class
attribute of the JSON document. The infrastructure will eventually select the appropriate repository to handle the object just deserialized.
To rather use XML to define the data the repositories shall be populated with, you can use the unmarshaller-populator
element. You configure it to use one of the XML marshaller options Spring OXM provides you with. See the Spring reference documentation for details.
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:repository="http://www.springframework.org/schema/data/repository"
xmlns:oxm="http://www.springframework.org/schema/oxm"
xsi:schemaLocation="http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans.xsd
http://www.springframework.org/schema/data/repository
http://www.springframework.org/schema/data/repository/spring-repository.xsd
http://www.springframework.org/schema/oxm
http://www.springframework.org/schema/oxm/spring-oxm.xsd">
<repository:unmarshaller-populator locations="classpath:data.json"
unmarshaller-ref="unmarshaller" />
<oxm:jaxb2-marshaller contextPath="com.acme" />
</beans>
7.8.4. Legacy web support
Domain class web binding for Spring MVC
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")
class UserController {
private final UserRepository userRepository;
UserController(UserRepository userRepository) {
Assert.notNull(repository, "Repository must not be null!");
this.userRepository = userRepository;
}
@RequestMapping("/{id}")
String showUserForm(@PathVariable("id") Long id, Model model) {
// Do null check for id
User user = userRepository.findById(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 findById(…)
call. Fortunately Spring provides means to register custom components that allow conversion between a String
value to an arbitrary type.
PropertyEditors
For Spring versions before 3.0 simple Java PropertyEditors
had to be used. To integrate with that, Spring Data offers a DomainClassPropertyEditorRegistrar
, which looks up all Spring Data repositories registered in the ApplicationContext
and registers a custom PropertyEditor
for the managed domain class.
<bean class="….web.servlet.mvc.annotation.AnnotationMethodHandlerAdapter">
<property name="webBindingInitializer">
<bean class="….web.bind.support.ConfigurableWebBindingInitializer">
<property name="propertyEditorRegistrars">
<bean class="org.springframework.data.repository.support.DomainClassPropertyEditorRegistrar" />
</property>
</bean>
</property>
</bean>
If you have configured Spring MVC as in the preceding example, you can configure your controller as follows, which reduces a lot of the clutter and boilerplate.
@Controller
@RequestMapping("/users")
class UserController {
@RequestMapping("/{id}")
String showUserForm(@PathVariable("id") User user, Model model) {
model.addAttribute("user", user);
return "userForm";
}
}
Reference Documentation
8. Introduction
This part of the reference documentation explains the core functionality offered by Spring Data for Apache Cassandra.
Cassandra support introduces the Cassandra module feature set.
Reactive Cassandra support explains reactive Cassandra specifics.
Cassandra Repositories introduces Repository support for Cassandra.
8.1. Spring CQL and Spring Data for Apache Cassandra modules
Spring Data for Apache Cassandra allows interaction on both the CQL as well as the entity-level.
The value-add provided by the Spring Data for Apache Cassandra abstraction is perhaps best shown by the sequence of actions outlined in the table below. The table shows what actions Spring will take care of and which actions are the responsibility of you, the application developer.
Action | Spring | You |
---|---|---|
Define connection parameters. |
X |
|
Open the connection. |
X |
|
Specify the CQL statement. |
X |
|
Declare parameters and provide parameter values |
X |
|
Prepare and execute the statement. |
X |
|
Set up the loop to iterate through the results (if any). |
X |
|
Do the work for each iteration. |
X |
|
Process any exception. |
X |
|
Close the Session. |
X |
The core CQL support takes care of all the low-level details that can make Cassandra and CQL such a tedious API to develop with. Using mapped entity objects allows schema generation, object mapping and Repository support.
8.1.1. Choosing an approach for Cassandra database access
You can choose among several approaches to use as a basis for your Cassandra database access. Spring’s support for Apache Cassandra comes in different flavors. Once you start using one of these approaches, you can still mix and match to include a feature from a different approach.
-
CqlTemplate and ReactiveCqlTemplate are the classic Spring CQL approach and the most popular. This is the "lowest level" approach and components like
CassandraTemplate
useCqlTemplate
under-the-hood. -
CassandraTemplate wraps a
CqlTemplate
to provide query result to object mapping and the use ofSELECT
,INSERT
,UPDATE
andDELETE
methods instead of writing CQL statements. This approach provides better documentation and ease of use. -
ReactiveCassandraTemplate wraps a
ReactiveCqlTemplate
to provide query result to object mapping and the use ofSELECT
,INSERT
,UPDATE
andDELETE
methods instead of writing CQL statements. This approach provides better documentation and ease of use. -
Repository Abstraction allows you to create Repository declarations in your data access layer. The goal of Spring Data’s Repository abstraction is to significantly reduce the amount of boilerplate code required to implement data access layers for various persistence stores.
9. Cassandra support
Spring Data support for Apache Cassandra contains a wide range of features which are summarized below.
-
Spring configuration support using Java-based
@Configuration
classes or the XML namespace. -
CqlTemplate
helper class that increases productivity by handling common Cassandra data access operations properly. -
CassandraTemplate
helper class providing object mapping between CQL Tables and POJOs. -
Exception translation into Spring’s portable Data Access Exception Hierarchy.
-
Feature rich object mapping integrated with Spring’s Conversion Service.
-
Annotation-based mapping metadata that is extensible to support other metadata formats.
-
Java-based Query, Criteria, and Update DSLs.
-
Automatic implementation of
Repository
interfaces including support for custom finder methods.
For most data-oriented tasks you will use the CassandraTemplate
or the Repository
support, which leverage the
rich object mapping functionality. CqlTemplate
is commonly used to increment counters or perform ad-hoc CRUD
operations. CqlTemplate
also provides callback methods making it easy to get a hold of low-level API objects
such as com.datastax.driver.core.Session
allowing you to communicate directly with Cassandra.
Spring Data for Apache Cassandra uses consistent naming conventions on objects in various APIs to those found in
the DataStax Java Driver so that they are familiar and so you can map your existing knowledge onto the Spring APIs.
9.1. Getting Started
Spring Data for Apache Cassandra requires Apache Cassandra 2.1 or higher, Datastax Java Driver 3.0 or higher and Java SE 8 or higher. An easy way to quickly setup and bootstrap a working environment is to create a Spring-based project in STS or use Spring Initializer.
First, you need to setup a running Apache Cassandra server. Refer to the
Apache Cassandra Quick Start Guide
for an explanation on how to startup Apache Cassandra. Once installed, starting Cassandra is typically a matter of
executing the following command: CASSANDRA_HOME/bin/cassandra -f
To create a Spring project in STS go to File → New → Spring Template Project → Simple Spring Utility Project
and press Yes when prompted. Then enter a project and a package name such as org.spring.data.cassandra.example
.
Then, add the following dependency declaration to your pom.xml dependencies
section.
<dependencies>
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-cassandra</artifactId>
<version>2.1.0.M1</version>
</dependency>
</dependencies>
Also, change the version of Spring in the pom.xml to be
<spring.framework.version>5.0.3.RELEASE</spring.framework.version>
If using a milestone release instead of a GA release, you will also need to add the location of the Spring Milestone
repository for Maven to your pom.xml, which is at the same level of your <dependencies/>
element.
<repositories>
<repository>
<id>spring-milestone</id>
<name>Spring Maven MILESTONE Repository</name>
<url>http://repo.spring.io/libs-milestone</url>
</repository>
</repositories>
The repository is also browseable here.
You can also browse all Spring repositories here.
Now, we will create a simple Java application that stores and reads a domain object to/from Cassandra.
First, create a simple domain object class to persist.
package org.spring.data.cassandra.example;
import org.springframework.data.cassandra.core.mapping.PrimaryKey;
import org.springframework.data.cassandra.core.mapping.Table;
@Table
public class Person {
@PrimaryKey
private final String id;
private final String name;
private final int age;
public Person(String id, String name, int age) {
this.id = id;
this.name = name;
this.age = age;
}
public String getId() {
return id;
}
public String getName() {
return name;
}
public int getAge() {
return age;
}
@Override
public String toString() {
return String.format("{ @type = %1$s, id = %2$s, name = %3$s, age = %4$d }",
getClass().getName(), getId(), getName(), getAge());
}
}
Next, create the main application to run.
package org.spring.data.cassandra.example;
import java.util.UUID;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.data.cassandra.core.CassandraOperations;
import org.springframework.data.cassandra.core.CassandraTemplate;
import org.springframework.data.cassandra.core.query.Criteria;
import org.springframework.data.cassandra.core.query.Query;
import com.datastax.driver.core.Cluster;
import com.datastax.driver.core.Session;
public class CassandraApplication {
private static final Logger LOGGER = LoggerFactory.getLogger(CassandraApplication.class);
protected static Person newPerson(String name, int age) {
return newPerson(UUID.randomUUID().toString(), name, age);
}
protected static Person newPerson(String id, String name, int age) {
return new Person(id, name, age);
}
public static void main(String[] args) {
Cluster cluster = Cluster.builder().addContactPoints("localhost").build();
Session session = cluster.connect("mykeyspace");
CassandraOperations template = new CassandraTemplate(session);
Person jonDoe = template.insert(newPerson("Jon Doe", 40));
LOGGER.info(template.selectOne(Query.query(Criteria.where("id").is(jonDoe.getId())), Person.class).getId());
template.truncate(Person.class);
session.close();
cluster.close();
}
}
Even in this simple example, there are a few things to observe.
-
You can create an instance of
CassandraTemplate
with a CassandraSession
, obtained fromCluster
. -
You must annotate your POJO as a Cassandra
@Table
entity and also annotate the@PrimaryKey
. Optionally, you can override these mapping names to match your Cassandra database table and column names. -
You can either use raw CQL or the DataStax
QueryBuilder
API to construct your queries.
9.2. Examples Repository
There is a Github repository with several examples that you can download and play around with to get a feel for how the library works.
9.3. Connecting to Cassandra with Spring
One of the first tasks when using Apache Cassandra with Spring is to create a com.datastax.driver.core.Session
object
using the Spring IoC container. There are two main ways to do this, either using Java-based bean metadata or XML-based
bean metadata. These are discussed in the following sections.
For those not familiar with how to configure the Spring container using Java-based bean metadata instead of XML-based metadata, see the high-level introduction in the reference docs here as well as the detailed documentation here. |
9.3.1. Registering a Session instance using Java-based metadata
An example of using Java-based bean metadata to register an instance of a com.datastax.driver.core.Session
is shown below.
@Configuration
public class AppConfig {
/*
* Use the standard Cassandra driver API to create a com.datastax.driver.core.Session instance.
*/
public @Bean Session session() {
Cluster cluster = Cluster.builder().addContactPoints("localhost").build();
return cluster.connect("mykeyspace");
}
}
This approach allows you to use the standard com.datastax.driver.core.Session
API that you may already be used
to using.
An alternative is to register an instance of com.datastax.driver.core.Session
instance with the container
using Spring’s CassandraCqlSessionFactoryBean
and CassandraCqlClusterFactoryBean
. As compared to instantiating
a com.datastax.driver.core.Session
instance directly, the FactoryBean
approach has the added advantage of also
providing the container with an ExceptionTranslator
implementation that translates Cassandra exceptions to exceptions
in Spring’s portable DataAccessException
hierarchy for data access classes annotated. This hierarchy and use of
@Repository
is described in Spring’s DAO support features.
An example of a Java-based bean metadata that supports exception translation on @Repository
annotated classes
is shown below:
@Configuration
public class AppConfig {
/*
* Factory bean that creates the com.datastax.driver.core.Session instance
*/
@Bean
public CassandraCqlClusterFactoryBean cluster() {
CassandraCqlClusterFactoryBean cluster = new CassandraCqlClusterFactoryBean();
cluster.setContactPoints("localhost");
return cluster;
}
/*
* Factory bean that creates the com.datastax.driver.core.Session instance
*/
@Bean
public CassandraCqlSessionFactoryBean session() {
CassandraCqlSessionFactoryBean session = new CassandraCqlSessionFactoryBean();
session.setCluster(cluster().getObject());
session.setKeyspaceName("mykeyspace");
return session;
}
}
Using CassandraTemplate
with object mapping and Repository support requires a CassandraTemplate
,
CassandraMappingContext
, CassandraConverter
and enabling Repository support.
@Configuration
@EnableCassandraRepositories(basePackages = { "org.spring.cassandra.example.repo" })
public class CassandraConfig {
@Bean
public CassandraClusterFactoryBean cluster() {
CassandraClusterFactoryBean cluster = new CassandraClusterFactoryBean();
cluster.setContactPoints("localhost");
return cluster;
}
@Bean
public CassandraMappingContext mappingContext() {
BasicCassandraMappingContext mappingContext = new BasicCassandraMappingContext();
mappingContext.setUserTypeResolver(new SimpleUserTypeResolver(cluster().getObject(), "mykeyspace"));
return mappingContext;
}
@Bean
public CassandraConverter converter() {
return new MappingCassandraConverter(mappingContext());
}
@Bean
public CassandraSessionFactoryBean session() throws Exception {
CassandraSessionFactoryBean session = new CassandraSessionFactoryBean();
session.setCluster(cluster().getObject());
session.setKeyspaceName("mykeyspace");
session.setConverter(converter());
session.setSchemaAction(SchemaAction.NONE);
return session;
}
@Bean
public CassandraOperations cassandraTemplate() throws Exception {
return new CassandraTemplate(session().getObject());
}
}
Creating configuration classes registering Spring Data for Apache Cassandra components can be an exhausting challenge
so Spring Data for Apache Cassandra comes with a prebuilt configuration support class. Classes extending from
AbstractCassandraConfiguration
will register beans for Spring Data for Apache Cassandra use.
AbstractCassandraConfiguration
lets you provide various configuration options such as initial entities,
default query options, pooling options, socket options and much more. AbstractCassandraConfiguration
will support
you also with schema generation based on initial entities, if any are provided. Extending from
AbstractCassandraConfiguration
requires you to at least provide the Keyspace name by implementing
the getKeyspaceName
method.
AbstractCassandraConfiguration
@Configuration
public class AppConfig extends AbstractCassandraConfiguration {
/*
* Provide a contact point to the configuration.
*/
public String getContactPoints() {
return "localhost";
}
/*
* Provide a keyspace name to the configuration.
*/
public String getKeyspaceName() {
return "mykeyspace";
}
}
9.3.2. XML Configuration
Externalize Connection Properties
Create a properties file containing the information needed to connect to Cassandra. contactpoints
and keyspace
are required fields; port
has been added for clarity.
We will call this properties file, cassandra.properties
.
cassandra.contactpoints=10.1.55.80,10.1.55.81
cassandra.port=9042
cassandra.keyspace=showcase
We will use Spring to load these properties into the Spring context in the next two examples.
Registering a Session instance using XML-based metadata
While you can use Spring’s traditional <beans/>
XML namespace to register an instance of
com.datastax.driver.core.Session
with the container, the XML can be quite verbose as it is general purpose.
XML namespaces are a better alternative to configuring commonly used objects such as the Session
instance.
The cql
and cassandra
namespaces allow you to create a Session
instance.
To use the Cassandra namespace elements you will need to reference the Cassandra schema:
cql
namespace<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:cql="http://www.springframework.org/schema/data/cql"
xsi:schemaLocation="
http://www.springframework.org/schema/cql
http://www.springframework.org/schema/cql/spring-cql.xsd
http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans.xsd">
<!-- Default bean name is 'cassandraCluster' -->
<cql:cluster contact-points="localhost" port="9042">
<cql:keyspace action="CREATE_DROP" name="mykeyspace" />
</cql:cluster>
<!-- Default bean name is 'cassandraSession' -->
<cql:session keyspace-name="mykeyspace" />
</beans>
cassandra
namespace<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:cassandra="http://www.springframework.org/schema/data/cassandra"
xsi:schemaLocation="
http://www.springframework.org/schema/data/cassandra
http://www.springframework.org/schema/data/cassandra/spring-cassandra.xsd
http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans.xsd">
<!-- Default bean name is 'cassandraCluster' -->
<cassandra:cluster contact-points="localhost" port="9042">
<cassandra:keyspace action="CREATE_DROP" name="mykeyspace" />
</cassandra:cluster>
<!-- Default bean name is 'cassandraSession' -->
<cassandra:session keyspace-name="${cassandra.keyspace}" schema-action="NONE" />
</beans>
You may have noticed the slight difference between namespaces: cql and cassandra . Using the cql namespace
is limited to low-level CQL support while cassandra extends the cql namespace with object mapping
and schema generation support.
|
The XML configuration elements for more advanced Cassandra configuration are shown below. These elements all use default bean names to keep the configuration code clean and readable.
While this example shows how easy it is to configure Spring to connect to Cassandra, there are many other options. Basically, any option available with the DataStax Java Driver is also available in the Spring Data for Apache Cassandra configuration. This is including, but not limited to Authentication, Load Balancing Policies, Retry Policies and Pooling Options. All of the Spring Data for Apache Cassandra method names and XML elements are named exactly (or as close as possible) like the configuration options on the driver so mapping any existing driver configuration should be straight forward.
<!-- Loads the properties into the Spring Context and uses them to fill
in placeholders in the bean definitions -->
<context:property-placeholder location="classpath:cassandra.properties" />
<!-- REQUIRED: The Cassandra Cluster -->
<cassandra:cluster contact-points="${cassandra.contactpoints}"
port="${cassandra.port}" />
<!-- REQUIRED: The Cassandra Session, built from the Cluster, and attaching
to a keyspace -->
<cassandra:session keyspace-name="${cassandra.keyspace}" />
<!-- REQUIRED: The Default Cassandra Mapping Context used by CassandraConverter -->
<cassandra:mapping>
<cassandra:user-type-resolver keyspace-name="${cassandra.keyspace}" />
</cassandra:mapping>
<!-- REQUIRED: The Default Cassandra Converter used by CassandraTemplate -->
<cassandra:converter />
<!-- REQUIRED: The Cassandra Template is the building block of all Spring
Data Cassandra -->
<cassandra:template id="cassandraTemplate" />
<!-- OPTIONAL: If you are using Spring Data for Apache Cassandra Repositories, add
your base packages to scan here -->
<cassandra:repositories base-package="org.spring.cassandra.example.repo" />
9.4. Schema Management
Apache Cassandra is a data store that requires a schema definition prior to any data interaction. Spring Data for Apache Cassandra can support you with schema creation.
9.4.1. Keyspaces and Lifecycle scripts
The very first thing to start with is a Cassandra Keyspace. A Keyspace is a logical grouping of tables that share
the same replication factor and replication strategy. Keyspace management is located in the Cluster
configuration,
which has the notion of KeyspaceSpecification
and startup/shutdown CQL script execution.
Declaring a Keyspace with a specification allows creating/dropping of the Keyspace. It will derive CQL from the specification so you’re not required to write CQL yourself.
<cql:cluster>
<cql:keyspace action="CREATE_DROP" durable-writes="true" name="my_keyspace">
<cql:replication class="NETWORK_TOPOLOGY_STRATEGY">
<cql:data-center name="foo" replication-factor="1" />
<cql:data-center name="bar" replication-factor="2" />
</cql:replication>
</cql:keyspace>
</cql:cluster>
@Configuration
public abstract class AbstractCassandraConfiguration extends AbstractClusterConfiguration
implements BeanClassLoaderAware {
@Override
protected List<CreateKeyspaceSpecification> getKeyspaceCreations() {
CreateKeyspaceSpecification specification = CreateKeyspaceSpecification.createKeyspace("my_keyspace")
.with(KeyspaceOption.DURABLE_WRITES, true)
.withNetworkReplication(DataCenterReplication.dcr("foo", 1), DataCenterReplication.dcr("bar", 2));
return Arrays.asList(specification);
}
@Override
protected List<DropKeyspaceSpecification> getKeyspaceDrops() {
return Arrays.asList(DropKeyspaceSpecification.dropKeyspace("my_keyspace"));
}
// ...
}
Startup/shutdown CQL execution follows a slightly different approach that is bound to the Cluster
lifecycle.
You can provide arbitrary CQL that is executed on Cluster
initialization and shutdown in the SYSTEM
keyspace.
<cql:cluster>
<cql:startup-cql><![CDATA[
CREATE KEYSPACE IF NOT EXISTS my_other_keyspace WITH durable_writes = true AND replication = { 'replication_factor' : 1, 'class' : 'SimpleStrategy' };
]]></cql:startup-cql>
<cql:shutdown-cql><![CDATA[
DROP KEYSPACE my_other_keyspace;
]]></cql:shutdown-cql>
</cql:cluster>
@Configuration
public class CassandraConfiguration extends AbstractCassandraConfiguration {
@Override
protected List<String> getStartupScripts() {
String script = "CREATE KEYSPACE IF NOT EXISTS my_other_keyspace "
+ "WITH durable_writes = true "
+ "AND replication = { 'replication_factor' : 1, 'class' : 'SimpleStrategy' };";
return Arrays.asList(script);
}
@Override
protected List<String> getShutdownScripts() {
return Arrays.asList("DROP KEYSPACE my_other_keyspace;");
}
// ...
}
KeyspaceSpecifications and lifecycle CQL scripts are available with the cql and cassandra namespaces.
|
Keyspace creation allows rapid bootstrapping without the need of external Keyspace management. This can be useful for certain scenarios but should be used with care. Dropping a Keyspace on application shutdown will remove the Keyspace and all data from the tables in the Keyspace. |
9.4.2. Tables and User-defined types
Spring Data for Apache Cassandra’s approaches data access with mapped entity classes that fit your data model. These entity classes can be used to create Cassandra table specifications and user type definitions.
Schema creation is tied to Session
initialization with SchemaAction
. The following actions are supported:
-
SchemaAction.NONE
: No tables/types will be created or dropped. This is the default setting. -
SchemaAction.CREATE
: Create tables, indexes and user-defined types from entities annotated with@Table
and types annotated with@UserDefinedType
. Existing tables/types will cause an error if the type is attempted to be created. -
SchemaAction.CREATE_IF_NOT_EXISTS
: LikeSchemaAction.CREATE
but withIF NOT EXISTS
applied. Existing tables/types won’t cause any errors but may remain stale. -
SchemaAction.RECREATE
: Drops and recreate existing tables and types that are known to be used. Tables and types that are not configured in the application are not dropped. -
SchemaAction.RECREATE_DROP_UNUSED
: Drop all tables and types and recreate only known tables and types.
SchemaAction.RECREATE /SchemaAction.RECREATE_DROP_UNUSED will drop your tables and you will lose all data.
RECREATE_DROP_UNUSED also drops tables and types that are not known to the application.
|
Enabling Tables and User-Defined Types for Schema Management
Metadata-based Mapping explains object mapping using conventions and annotations. Schema management is only active
for entities annotated with @Table
and user-defined types annotated with @UserDefinedType
to prevent
unwanted classes from being created as table/type. Entities are discovered by scanning the classpath.
Entity scanning requires one or more base packages. Tuple typed columns using TupleValue
do not provide
any typing details hences you must annotate such column properties with @CassandraType(type = TUPLE, typeArguments = …)
to specify the desired column type.
<cassandra:mapping entity-base-packages="com.foo,com.bar"/>
@Configuration
public class CassandraConfiguration extends AbstractCassandraConfiguration {
@Override
public String[] getEntityBasePackages() {
return new String[] { "com.foo", "com.bar" };
}
// ...
}
9.5. CqlTemplate
The CqlTemplate
class is the central class in the core CQL package. It handles the creation and release of resources.
It performs the basic tasks of the core CQL workflow such as statement creation and execution, leaving application code
to provide CQL and extract results. The CqlTemplate
class executes CQL queries and update statements, performs
iteration over ResultSet
s and extraction of returned parameter values. It also catches CQL exceptions and translates
them to the generic, more informative, exception hierarchy defined in the org.springframework.dao
package.
When you use the CqlTemplate
for your code, you only need to implement callback interfaces, which have a very clearly
defined contract. Given a Connection
the PreparedStatementCreator
callback interface creates a prepared statement
with the provided CQL and any necessary parameter arguments. The RowCallbackHandler
interface extracts values
from each row of a ResultSet
.
The CqlTemplate
can be used within a DAO implementation through direct instantiation with a SessionFactory
reference,
or be configured in the Spring container and given to DAOs as a bean reference. CqlTemplate
is a foundational building
block for CassandraTemplate
.
All CQL issued by this class is logged at the DEBUG
level under the category corresponding to the fully-qualified class
name of the template instance (typically CqlTemplate
, but it may be different if you are using a custom subclass
of the CqlTemplate
class).
You can control fetch size, consistency level and retry policy defaults by configuring these parameters
on the CQL API instances CqlTemplate
, AsyncCqlTemplate
, and ReactiveCqlTemplate
. Defaults apply if the particular
query option is not set.
CqlTemplate comes in different execution model flavors. The basic CqlTemplate uses a blocking execution model.
You can use AsyncCqlTemplate for asynchronous execution and synchronization with ListenableFuture s or
ReactiveCqlTemplate for reactive execution.
|
9.5.1. Examples of CqlTemplate
class usage
This section provides some examples of the CqlTemplate
class in action. These examples are not an exhaustive list
of all of the functionality exposed by the CqlTemplate
; see the attendant Javadocs for that.
Querying (SELECT) with CqlTemplate
Here is a simple query for getting the number of rows in a relation:
int rowCount = cqlTemplate.queryForObject("select count(*) from t_actor", Integer.class);
A simple query using a bind variable:
int countOfActorsNamedJoe = cqlTemplate.queryForObject(
"select count(*) from t_actor where first_name = ?", Integer.class, "Joe");
Querying for a String
:
String lastName = cqlTemplate.queryForObject(
"select last_name from t_actor where id = ?",
String.class, 1212L);
Querying and populating a single domain object:
Actor actor = cqlTemplate.queryForObject(
"select first_name, last_name from t_actor where id = ?",
new RowMapper<Actor>() {
public Actor mapRow(Row row, int rowNum) {
Actor actor = new Actor();
actor.setFirstName(row.getString("first_name"));
actor.setLastName(row.getString("last_name"));
return actor;
},
new Object[]{1212L},
});
Querying and populating a number of domain objects:
List<Actor> actors = cqlTemplate.query(
"select first_name, last_name from t_actor",
new RowMapper<Actor>() {
public Actor mapRow(Row row int rowNum) {
Actor actor = new Actor();
actor.setFirstName(row.getString("first_name"));
actor.setLastName(row.getString("last_name"));
return actor;
}
});
If the last two snippets of code actually existed in the same application, it would make sense to remove the
duplication present in the two RowMapper
anonymous inner classes, and extract them out into a single class
(typically a static
nested class) that can then be referenced by DAO methods as needed.
For example, it may be better to write the last code snippet as follows:
public List<Actor> findAllActors() {
return cqlTemplate.query("select first_name, last_name from t_actor", ActorMapper.INSTANCE);
}
enum ActorMapper implements RowMapper<Actor> {
INSTANCE;
public Actor mapRow(Row row, int rowNum) {
Actor actor = new Actor();
actor.setFirstName(row.getString("first_name"));
actor.setLastName(row.getString("last_name"));
return actor;
}
}
Updating (INSERT/UPDATE/DELETE) with CqlTemplate
You use the execute(…)
method to perform INSERT, UPDATE and DELETE operations. Parameter values are usually provided
as var args or alternatively as an object array.
cqlTemplate.execute(
"INSERT INTO t_actor (first_name, last_name) VALUES (?, ?)",
"Leonor", "Watling");
cqlTemplate.execute(
"UPDATE t_actor SET last_name = ? WHERE id = ?",
"Banjo", 5276L);
cqlTemplate.execute(
"DELETE FROM actor WHERE id = ?",
Long.valueOf(actorId));
Other CqlTemplate
operations
You can use the execute(..)
method to execute any arbitrary CQL. As such, the method is often used for DDL statements.
It is heavily overloaded with variants taking callback interfaces, binding variable arrays, and so on.
This example shows how to create and drop a table, using different API objects, all passed to the execute()
methods.
cqlOperations.execute("CREATE TABLE test_table (id uuid primary key, event text)");
DropTableSpecification dropper = DropTableSpecification.dropTable("test_table");
String cql = DropTableCqlGenerator.toCql(dropper);
cqlTemplate.execute(cql);
9.6. Exception Translation
The Spring Framework provides exception translation for a wide variety of database and mapping technologies.
This has traditionally been for JDBC and JPA. Spring Data for Apache Cassandra extends this feature to Apache Cassandra
by providing an implementation of the org.springframework.dao.support.PersistenceExceptionTranslator
interface.
The motivation behind mapping to Spring’s consistent data access exception hierarchy
is that you are then able to write portable and descriptive exception handling code without resorting to coding against
and handling specific Cassandra Exceptions. All of Spring’s data access exceptions are inherited from the root,
DataAccessException
class so you can be sure that you will be able to catch all database related exceptions
within a single try-catch block.
9.7. Controlling Cassandra connections
Applications connect to Apache Cassandra using Cluster
and Session
objects. A Cassandra Session
keeps track of
multiple connections to the individual nodes and is designed to be a Thread-safe, long-lived object.
Usually, it’s sufficient to use a single Session
for the whole application.
Spring acquires a Cassandra Session
through a SessionFactory
. SessionFactory
is part of
Spring Data for Apache Cassandra and is a generalized connection factory.
It allows the container or framework to hide connection handling and routing issues from the application code.
Here is an example of how to configure a default SessionFactory
in Java code:
Session session = … // get hold of a Cassandra Session
CqlTemplate template = new CqlTemplate();
template.setSessionFactory(new DefaultSessionFactory(session));
CqlTemplate
and other Template API implementations obtain a Session
for each operation. Due to their
long-lived nature, Sessions are not closed after invoking the desired operation. Responsibility for proper
resource disposal lies with the container or framework using the Session.
You can find various SessionFactory
implementations within the org.springframework.data.cassandra.core.cql.session
package.
9.8. Introduction to CassandraTemplate
The CassandraTemplate
class, located in the package org.springframework.data.cassandra
, is the central class
in Spring’s Cassandra support providing a rich feature set to interact with the database. The template offers
convenience operations to create, update, delete and query Cassandra, and provides a mapping between your domain objects
and rows in Cassandra tables.
Once configured, CassandraTemplate is Thread-safe and can be reused across multiple instances.
|
The mapping between rows in Cassandra and application domain classes is done by delegating to an implementation
of the CassandraConverter
interface. Spring provides a default implementation, MappingCassandraConverter
,
but you can also write your own custom converter. Please refer to the section on
Cassandra conversion for more detailed information.
The CassandraTemplate
class implements the CassandraOperations
interface. In as much as possible, the methods
on CassandraOperations
are named after methods available in Cassandra to make the API familiar to existing
Cassandra developers who are already familiar with Cassandra.
For example, you will find methods such as "select", "insert", "delete", and "update". The design goal was to make it
as easy as possible to transition between the use of the base Cassandra driver and CassandraOperations
.
A major difference in between the two APIs is that CassandraOperations
can be passed domain objects instead of CQL
and query objects.
The preferred way to reference operations on a CassandraTemplate instance is via its interface,
CassandraOperations .
|
The default converter implementation used by CassandraTemplate
is MappingCassandraConverter
.
While the MappingCassandraConverter
can make use of additional metadata to specify the mapping of objects
to rows it is also capable of converting objects that contain no additional metadata by using some conventions
for the mapping of fields and table names. These conventions as well as the use of mapping annotations is explained
in the Mapping chapter.
Another central feature of CassandraTemplate
is exception translation of exceptions thrown in the Cassandra
Java driver into Spring’s portable Data Access Exception hierarchy. Refer to the section on
exception translation for more information.
CassandraTemplate comes in different execution model flavors. The basic CassandraTemplate uses a
blocking execution model. You can use AsyncCassandraTemplate for asynchronous execution and synchronization
with ListenableFuture s or ReactiveCassandraTemplate for reactive execution.
|
Now let’s look at examples of how to work with the CassandraTemplate
in the context of the Spring container.
9.8.1. Instantiating CassandraTemplate
CassandraTemplate
should always be configured as a Spring bean, although we show an example above where
you can instantiate it directly. But, for the purposes of this being a Spring module, lets assume we are using
the Spring container.
There are 2 easy ways to get a CassandraTemplate
, depending on how you load you Spring ApplicationContext
.
Autowiring
@Autowired
private CassandraOperations cassandraOperations;
Like all Spring Autowiring, this assumes there is only one bean of type CassandraOperations
in the ApplicationContext
.
If you have multiple CassandraTemplate
beans (which will be the case if you are working with multiple Keyspaces
in the same project), then use the `@Qualifier`annotation to designate which bean you want to Autowire.
@Autowired
@Qualifier("keyspaceOneTemplateBeanId")
private CassandraOperations cassandraOperations;
Bean Lookup with ApplicationContext
You can also just lookup the CassandraTemplate
bean from the ApplicationContext
.
CassandraOperations cassandraOperations = applicationContext.getBean("cassandraTemplate", CassandraOperations.class);
9.9. Saving, Updating, and Removing Rows
CassandraTemplate
provides a simple way for you to save, update, and delete your domain objects, and map those objects
to tables managed in Cassandra.
9.9.1. Type mapping
Spring Data for Apache Cassandra relies on the DataStax Java Driver’s CodecRegistry
to ensure type support. As types
are added or changed, the Spring Data for Apache Cassandra module will continue to function without requiring changes.
See CQL data types
and Data Mapping and Type Conversion for the current type mapping matrix.
9.9.2. Methods for inserting and updating rows
There are several convenient methods on CassandraTemplate
for saving and inserting your objects. To have more
fine-grained control over the conversion process you can register Spring Converters
with the MappingCassandraConverter
.
For example, Converter<Row, Person>
.
The difference between insert and update operations is that an INSERT operation will not insert null values.
|
The simple case of using the insert operation is to save a POJO. In this case, the table name will be determined by the simple name of the class (not fully-qualified). The table to store the object can be overridden using mapping metadata.
When inserting or updating, the id
property must be set. There is no means to generate an ID with Apache Cassandra.
Here is a basic example of using the save operation and retrieving its contents.
CassandraTemplate
import static org.springframework.data.cassandra.core.query.Criteria.where;
import static org.springframework.data.cassandra.core.query.Query.query;
…
Person bob = new Person("Bob", 33);
cassandraTemplate.insert(bob);
Person queriedBob = cassandraTemplate.selectOneById(query(where("age").is(33)), Person.class);
The insert/save operations available to you are listed below.
-
void
insert(Object objectToSave)
Insert the object in an Apache Cassandra table. -
WriteResult
insert(Object objectToSave, InsertOptions options)
Insert the object in an Apache Cassandra table applyingInsertOptions
.
A similar set of update operations is listed below
-
void
update(Object objectToSave)
Update the object in an Apache Cassandra table. -
WriteResult
update(Object objectToSave, UpdateOptions options)
Update the object in an Apache Cassandra table applyingUpdateOptions
.
Then, there is always the old fashioned way; you can write your own CQL statements.
String cql = "INSERT INTO person (age, name) VALUES (39, 'Bob')";
cassandraTemplate().getCqlOperations().execute(cql);
You can also configure additional options such as TTL, consistency level and lightweight transactions
using InsertOptions
and UpdateOptions
.
Which table will my rows be inserted into?
There are two ways to manage the collection name that is used for operating on the tables. The default table name
that is used is the simple class name changed to start with a lower-case letter. So, an instance of
the com.example.Person
class would be stored in the "person" table.
You can customize this by providing a different collection name using the @Table
annotation.
Inserting, updating and deleting individual objects in a batch
The Cassandra protocol supports inserting a collection of rows in one operation using a batch.
The methods in the CassandraTemplate
interface supporting this functionality are listed below.
-
batchOps Creates a new
CassandraBatchOperations
to populate the batch
CassandraBatchOperations
-
insert Takes a single object, an array (var-args) or an
Iterable
of objects to insert. -
update Takes a single object, an array (var-args) or an
Iterable
of objects to update. -
delete Takes a single object, an array (var-args) or an
Iterable
of objects to delete. -
withTimestamp Applies a TTL to the batch.
-
execute Executes the batch.
9.9.3. Updating rows in a table
For updates, we can select to update a number of rows.
Here is an example of updating a single account object where we are adding a one-time $50.00 bonus to the balance
using the +
assignment.
CasandraTemplate
import static org.springframework.data.cassandra.core.query.Criteria.where;
import org.springframework.data.cassandra.core.query.Query;
import org.springframework.data.cassandra.core.query.Update;
...
boolean applied = cassandraTemplate.update(Query.query(where("id").is("foo")),
Update.create().increment("balance", 50.00), Account.class);
In addition to the Query
discussed above, we provide the update definition using an Update
object.
The Update
class has methods that match the update assignments available for Apache Cassandra.
As you can see most methods return the Update
object to provide a fluent API for code styling purposes.
Methods for executing updates for rows
-
boolean
update(Query query, Update update, Class<?> entityClass)
Update a selection of objects in the Apache Cassandra table.
Methods for the Update class
The Update
class can be used with a little 'syntax sugar' as its methods are meant to be chained together
and you can kick-start the creation of a new Update
instance via the static method
public static Update update(String key, Object value)
and using static imports.
Here is a listing of methods on the Update
class.
-
AddToBuilder
addTo(String columnName)
AddToBuilder
entry-point:-
Update
prepend(Object value)
Prepend a collection value to the existing collection using the+
update assignment. -
Update
prependAll(Object… values)
Prepend all collection value to the existing collection using the+
update assignment. -
Update
append(Object value)
Append a collection value to the existing collection using the+
update assignment. -
Update
append(Object… values)
Append all collection value to the existing collection using the+
update assignment. -
Update
entry(Object key, Object value)
Add a map entry using the+
update assignment. -
Update
addAll(Map<? extends Object, ? extends Object> map)
Add all map entries to the map using the+
update assignment.
-
-
Update
remove(String columnName, Object value)
Remove the value from the collection using the-
update assignment. -
Update
clear(String columnName)
Clear the collection -
Update
increment(String columnName, Number delta)
Update using the+
update assignment -
Update
decrement(String columnName, Number delta)
Update using the-
update assignment -
Update
set(String columnName, Object value)
Update using the=
update assignment -
SetBuilder
set(String columnName)
SetBuilder
entry-point:-
Update
atIndex(int index).to(Object value)
Set a collection at the given index to a value using the=
update assignment. -
Update
atKey(String object).to(Object value)
Set a map entry at the given key to a value the=
update assignment.
-
// UPDATE … SET key = 'Spring Data';
Update.update("key", "Spring Data")
// UPDATE … SET key[5] = 'Spring Data';
Update.empty().set("key").atIndex(5).to("Spring Data");
// UPDATE … SET key = key + ['Spring', 'DATA'];
Update.empty().addTo("key").appendAll("Spring", "Data");
Update
is immutable once created. Invoking methods will create new immutable (intermediate) Update
objects.
9.9.4. Methods for removing rows
You can use several overloaded methods to remove an object from the database.
-
boolean
delete(Query query, Class<?> entityClass)
Delete the objects selected byQuery
. -
T
delete(T entity)
Delete the given object. -
T
delete(T entity, QueryOptions queryOptions)
Delete the given object applyingQueryOptions
. -
boolean
deleteById(Object id, Class<?> entityClass)
Delete the object using the given Id.
9.10. Querying Rows
You can express your queries using the Query
and Criteria
classes, which have method names that reflect
the native Cassandra predicate operator names such as lt
, lte
, is
, and others.
The Query
and Criteria
classes follow a fluent API style so you can easily chain together multiple method criteria
and queries while having easy to understand the code. Static imports are used in Java when creating Query
and Criteria
instances to improve readability.
9.10.1. Querying rows in a table
We saw how to retrieve a single object using the selectOneById
method on CassandraTemplate
in previous sections,
which return a single domain object. We can also query for a collection of rows to be returned as a
list of domain objects. Assuming we have a number of Person objects with name and age stored as rows in a table
and that each person has an account balance, we can now run a query using the following code.
CassandraTemplate
import static org.springframework.data.cassandra.core.query.Criteria.where;
import static org.springframework.data.cassandra.core.query.Query.query;
…
List<Person> result = cassandraTemplate.select(query(where("age").is(50))
.and(where("balance").gt(1000.00d)).withAllowFiltering(), Person.class);
select
, selectOneById
and stream
methods take a Query
object as a parameter. This object defines the criteria
and options used to perform the query. The criteria is specified using a Criteria
object that has
a static factory method named where
used to instantiate a new Criteria
object. We recommend using a static import
for org.springframework.data.cassandra.core.query.Criteria.where
and Query.query
to make the query more readable.
This query should return a list of Person
objects that meet the specified criteria. The Criteria
class has
the following methods that correspond to the operators provided in Apache Cassandra.
Methods for the Criteria class
-
CriteriaDefinition
gt(Object value)
Creates a criterion using the>
operator. -
CriteriaDefinition
gte(Object value)
Creates a criterion using the>=
operator. -
CriteriaDefinition
in(Object… values)
Creates a criterion using theIN
operator for a varargs argument. -
CriteriaDefinition
in(Collection<?> collection)
Creates a criterion using theIN
operator using a collection. -
CriteriaDefinition
is(Object value)
Creates a criterion using field matching (column = value
). -
CriteriaDefinition
lt(Object value)
Creates a criterion using the<
operator. -
CriteriaDefinition
lte(Object value)
Creates a criterion using the⇐
operator. -
CriteriaDefinition
like(Object value)
Creates a criterion using theLIKE
operator. -
CriteriaDefinition
contains(Object value)
Creates a criterion using theCONTAINS
operator. -
CriteriaDefinition
containsKey(Object key)
Creates a criterion using theCONTAINS KEY
operator.
Criteria
is immutable once created.
The Query
class has some additional methods used to provide options for the query.
Methods for the Query class
-
Query
by(CriteriaDefinition… criteria)
used to create aQuery
object. -
Query
and(CriteriaDefinition criteria)
used to add additional criteria to the query. -
Query
columns(Columns columns)
used to define columns to be included in the query results. -
Query
limit(long limit)
used to limit the size of the returned results to the provided limit (used for paging). -
Query
pageRequest(Pageable pageRequest)
used to associateSort
,PagingState
andfetchSize
with the query (used for paging). -
Query
pagingState(PagingState pagingState)
used to associate aPagingState
with the query (used for paging). -
Query
queryOptions(QueryOptions queryOptions)
used to associateQueryOptions
with the query. -
Query
sort(Sort sort)
used to provide sort definition for the results. -
Query
withAllowFiltering()
used renderALLOW FILTERING
queries.
Query
is immutable once created. Invoking methods will create new immutable (intermediate) Query
objects.
9.10.2. Methods for querying for rows
The query methods need to specify the target type T that will be returned.
-
List<T>
select(Query query, Class<T> entityClass)
Query for a list of objects of type T from the table. -
T
selectOneById(Query query, Class<T> entityClass)
Query for a single object of type T from the table. -
Slice<T>
slice(Query query, Class<T> entityClass)
Start or continue paging by querying for aSlice
of objects of type T from the table. -
T
selectOne(Query query, Class<T> entityClass)
Query for a single object of type T from the table. -
Stream<T>
stream(Query query, Class<T> entityClass)
Query for a stream of objects of type T from the table. -
List<T>
select(String cql, Class<T> entityClass)
Ad-hoc query for a list of objects of type T from the table providing a CQL statement. -
T
selectOneById(String cql, Class<T> entityClass)
Ad-hoc query for a single object of type T from the table providing a CQL statement. -
Stream<T>
stream(String cql, Class<T> entityClass)
Ad-hoc query for a stream of objects of type T from the table providing a CQL statement.
9.10.3. Fluent Template API
The CassandraOperations
interface is one of the central components when it comes to more low-level interaction
with Apache Cassandra. It offers a wide range of methods. One can find multiple overloads for each and every method.
Most of them just cover optional (nullable) parts of the API.
FluentCassandraOperations
provide a more narrow interface for common methods of CassandraOperations
providing a more readable, fluent API. The entry points query(…)
, insert(…)
, update(…)
, and delete(…)
follow a natural naming scheme based on the operation to execute. Moving on from the entry point, the API
is designed to only offer context dependent methods guiding the developer towards a terminating method
that invokes the actual CassandraOperation
.
List<SWCharacter> all = ops.query(SWCharacter.class)
.inTable("star_wars") (1)
.all();
1 | Skip this step if SWCharacter defines the table name via @Table or if using the class name as table name is just fine. |
If a table in Cassandra holds entities of different types, like a Jedi
within a Table of SWCharacters
, you can use
different types to map the query result. Use as(Class<?> targetType)
to map results to a different target type
while query(Class<?> entityType)
still applies to the query and table name.
List<Jedi> all = ops.query(SWCharacter.class) (1)
.as(Jedi.class) (2)
.matching(query(where("jedi").is(true)))
.all();
1 | The query fields are mapped against the SWCharacter type. |
2 | Resulting rows are mapped into Jedi . |
It is possible to directly apply Projections to resulting documents by providing just the interface type
via as(Class<?>) .
|
Switching between retrieving a single entity, multiple entities as List
or Stream
, and the like is done
via the terminating methods first()
, one()
, all()
or stream()
.
The new fluent template API methods (i.e. query(..) , insert(..) , update(..) and delete(..) )
makes use of effectively Thread-safe supporting objects to compose the CQL statement. However, it comes
at the added cost of additional young-gen JVM heap overhead since the design is based on final fields
for the various CQL statement components and construction on mutation. You should be careful when possibly
inserting or deleting a large number of object, such as inside a loop, for instance.
|
9.11. Overriding default mapping with custom converters
In order to have more fine-grained control over the mapping process, you can register Spring Converters
with
CassandraConverter
implementations, such as the MappingCassandraConverter
.
The MappingCassandraConverter
first checks to see whether there are any Spring Converters
that can handle
a specific class before attempting to map the object itself. To 'hijack' the normal mapping strategies
of the MappingCassandraConverter
, perhaps for increased performance or other custom mapping needs, you first
need to create an implementation of the Spring Converter
interface and then register it with
the MappingCassandraConverter
.
For more information on Spring’s type conversion service, see the reference docs here. |
9.11.1. Saving using a registered Spring Converter
An example implementation of a Converter
that converts a Person
object to a java.lang.String
using Jackson 2 is shown below:
import org.springframework.core.convert.converter.Converter;
import org.springframework.util.StringUtils;
import com.fasterxml.jackson.databind.ObjectMapper;
static class PersonWriteConverter implements Converter<Person, String> {
public String convert(Person source) {
try {
return new ObjectMapper().writeValueAsString(source);
} catch (IOException e) {
throw new IllegalStateException(e);
}
}
}
9.11.2. Reading using a Spring Converter
An example implementation of a Converter
that converts a java.lang.String
into a Person
object
using Jackson 2 is shown below:
import org.springframework.core.convert.converter.Converter;
import org.springframework.util.StringUtils;
import com.fasterxml.jackson.databind.ObjectMapper;
static class PersonReadConverter implements Converter<String, Person> {
public Person convert(String source) {
if (StringUtils.hasText(source)) {
try {
return new ObjectMapper().readValue(source, Person.class);
} catch (IOException e) {
throw new IllegalStateException(e);
}
}
return null;
}
}
9.11.3. Registering Spring Converters with the CassandraConverter
Spring Data for Apache Cassandra Java Config provides a convenient way to register Spring Converter`s
with the `MappingCassandraConverter
. The configuration snippet below shows how to manually register converters
as well as configure CustomConversions
.
@Configuration
public static class Config extends AbstractCassandraConfiguration {
@Override
public CustomConversions customConversions() {
List<Converter<?, ?>> converters = new ArrayList<Converter<?, ?>>();
converters.add(new PersonReadConverter());
converters.add(new PersonWriteConverter());
return new CustomConversions(converters);
}
// other methods omitted...
}
9.11.4. Converter disambiguation
Generally, we inspect the Converter
implementations for both the source and target types they convert from and to.
Depending on whether one of those is a type Cassandra can handle natively, Spring Data will register the Converter
instance as a reading or writing one.
Have a look at the following samples:
// Write converter as only the target type is one cassandra can handle natively
class MyConverter implements Converter<Person, String> { … }
// Read converter as only the source type is one cassandra can handle natively
class MyConverter implements Converter<String, Person> { … }
In case you implement a Converter
whose source and target types are native Cassandra types, there’s no way
for Spring Data to determine whether we should consider it as a reading or writing Converter
.
Registering the Converter
instance as both might lead to unwanted results.
E.g. a Converter<String, Long>
is ambiguous although it probably does not make sense to try to convert all String
instances into Long
instances when writing. To generally be able to force the infrastructure to register a Converter
for one way only we provide @ReadingConverter
as well as @WritingConverter
to be used as the appropriate
Converter
implementation.
10. Reactive Cassandra support
The reactive Cassandra support contains a wide range of features which are summarized below.
-
Spring configuration support using Java-based
@Configuration
classes. -
ReactiveCqlTemplate
helper class that increases productivity by handling common Cassandra data access operations properly. -
ReactiveCassandraTemplate
helper class that increases productivity using `ReactiveCassandraOperations in a reactive manner. Includes integrated object mapping between tables and POJOs. -
Exception translation into Spring’s portable Data Access Exception Hierarchy.
-
Feature rich object mapping integrated with Spring’s Conversion Service.
-
Java-based Query, Criteria, and Update DSLs.
-
Automatic implementation of
Repository
interfaces including support for custom finder methods.
For most data-oriented tasks you will use the ReactiveCassandraTemplate
or the Repository support, which leverage
the rich object mapping functionality. ReactiveCqlTemplate
is commonly used to increment counters or perform ad-hoc
CRUD operations. ReactiveCqlTemplate
also provides callback methods making it easy to get a hold of low-level
API objects, such as com.datastax.driver.core.Session
, allowing you to communicate directly with Cassandra.
Spring Data for Apache Cassandra uses consistent naming conventions on objects in various APIs to those found
in the DataStax Java Driver so that they are immediately familiar and so you can map your existing knowledge
onto the Spring APIs.
10.1. Getting Started
Spring Data for Apache Cassandra support requires Apache Cassandra 2.1 or higher, Datastax Java Driver 3.0 or higher and Java SE 8 or higher. An easy way to setup and bootstrap a working environment is to create a Spring-based project in STS or use Spring Initializer.
First you need to set up a running Apache Cassandra server. Refer to the
Apache Cassandra Quick Start Guide
for an explanation on how to startup Apache Cassandra. Once installed, starting Cassandra is typically a matter of
executing the following command: CASSANDRA_HOME/bin/cassandra -f
To create a Spring project in STS go to File → New → Spring Template Project → Simple Spring Utility Project
and press Yes when prompted. Then enter a project and a package name such as org.spring.data.cassandra.example
.
Then add dependency or your _pom.xml dependencies
section.
<dependencies>
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-cassandra</artifactId>
<version>2.1.0.M1</version>
</dependency>
</dependencies>
Also change the version of Spring in the pom.xml to be
<spring.framework.version>5.0.3.RELEASE</spring.framework.version>
If using a milestone release instead of a GA release, you will also need to add the location of the Spring Milestone
repository for Maven to your pom.xml, which is at the same level of your <dependencies/>
element.
<repositories>
<repository>
<id>spring-milestone</id>
<name>Spring Maven MILESTONE Repository</name>
<url>http://repo.spring.io/libs-milestone</url>
</repository>
</repositories>
The repository is also browseable here.
You can browse all Spring repositories here.
Now, we will create a simple Java application that stores and reads a domain object to/from Cassandra.
First, create a simple domain object class to persist.
package org.spring.data.cassandra.example;
import org.springframework.data.cassandra.core.mapping.PrimaryKey;
import org.springframework.data.cassandra.core.mapping.Table;
@Table
public class Person {
@PrimaryKey
private final String id;
private final String name;
private final int age;
public Person(String id, String name, int age) {
this.id = id;
this.name = name;
this.age = age;
}
public String getId() {
return id;
}
public String getName() {
return name;
}
public int getAge() {
return age;
}
@Override
public String toString() {
return String.format("{ @type = %1$s, id = %2$s, name = %3$s, age = %4$d }",
getClass().getName(), getId(), getName(), getAge());
}
}
Next, create the main application to run.
package org.spring.data.cassandra.example;
import java.util.UUID;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.data.cassandra.core.ReactiveCassandraOperations;
import org.springframework.data.cassandra.core.ReactiveCassandraTemplate;
import org.springframework.data.cassandra.core.query.Criteria;
import org.springframework.data.cassandra.core.query.Query;
import com.datastax.driver.core.Cluster;
import com.datastax.driver.core.Session;
import reactor.core.publisher.Mono;
public class CassandraApplication {
private static final Logger LOGGER = LoggerFactory.getLogger(CassandraApplication.class);
protected static Person newPerson(String name, int age) {
return newPerson(UUID.randomUUID().toString(), name, age);
}
protected static Person newPerson(String id, String name, int age) {
return new Person(id, name, age);
}
public static void main(String[] args) {
Cluster cluster = Cluster.builder().addContactPoints("localhost").build();
Session session = cluster.connect("mykeyspace");
ReactiveCassandraOperations template = new ReactiveCassandraTemplate(session);
Mono<Person> jonDoe = template.insert(newPerson("Jon Doe", 40));
jonDoe.flatMap(it -> template.selectOne(Query.query(Criteria.where("id").is(it.getId())), Person.class))
.doOnNext(it -> LOGGER.info(it.toString()))
.then(template.truncate(Person.class))
.block();
session.close();
cluster.close();
}
}
Even in this simple example, there are a few things to observe.
-
A fully synchronous flow does not benefit from a reactive infrastructure as a reactive programming model requires synchronization.
-
You can create an instance of
ReactiveCassandraTemplate
with a CassandraSession
, obtained fromCluster
. -
You must annotate your POJO as a Cassandra
@Table
and also annotate the@PrimaryKey
. Optionally, you can override these mapping names to match your Cassandra database table and column names. -
You can either use raw CQL or the DataStax
QueryBuilder
API to construct your queries.
10.2. Examples Repository
There is a Github repository with several examples that you can download and play around with to get a feel for how the library works.
10.3. Connecting to Cassandra with Spring
One of the first tasks when using Apache Cassandra and Spring is to create a com.datastax.driver.core.Session
object
using the Spring container. There are two main ways to do this, either using Java-based bean metadata or XML-based
bean metadata. These are discussed in the following sections.
For those not familiar with how to configure the Spring container using Java-based bean metadata instead of XML-based metadata, see the high-level introduction in the reference docs here as well as the detailed documentation here. |
10.3.1. Registering a Session instance using Java-based metadata
You can configure Reactive Cassandra support via Java Configuration classes.
Reactive Cassandra support adapts a Session
to provide a reactive execution model on top of an asynchronous driver.
A reactive Session
is configured similar to an imperative Session
. We provide supporting configuration classes
that come with predefined defaults and require only environment-specific information to configure Spring Data for
Apache Cassandra. The base class for reactive support is AbstractReactiveCassandraConfiguration
. This configuration
class extends the imperative AbstractCassandraConfiguration
and so the reactive support will also configure
the imperative API support as well.
AbstractReactiveCassandraConfiguration
@Configuration
public class AppConfig extends AbstractReactiveCassandraConfiguration {
/*
* Provide a contact point to the configuration.
*/
public String getContactPoints() {
return "localhost";
}
/*
* Provide a keyspace name to the configuration.
*/
public String getKeyspaceName() {
return "mykeyspace";
}
}
This configuration class is schema-management-enabled to create CQL objects during startup. See Schema Management for further details.
10.4. ReactiveCqlTemplate
The ReactiveCqlTemplate
class is the central class in the core CQL package. It handles the creation and release
of resources. It performs the basic tasks of the core CQL workflow such as statement creation and execution,
leaving application code to provide CQL and extract results. The ReactiveCqlTemplate
class executes CQL queries
and update statements, performs iteration over ResultSet
s and extraction of returned parameter values.
It also catches CQL exceptions and translates them into the generic, more informative, exception hierarchy defined in
the org.springframework.dao
package.
When you use the ReactiveCqlTemplate
in your code, you only need to implement callback interfaces, which have a
very clearly defined contract. Given a Connection
, the ReactivePreparedStatementCreator
callback interface
creates a prepared statement with the provided CQL and any necessary parameter argumnents. The RowCallbackHandler
interface extracts values from each row of a ReactiveResultSet
.
The ReactiveCqlTemplate
can be used within a DAO implementation through direct instantiation with a ReactiveSessionFactory
reference, or be configured in the Spring container and given to DAOs as a bean reference. ReactiveCqlTemplate
is
a foundational building block for ReactiveCassandraTemplate
.
All CQL issued by this class is logged at the DEBUG
level under the category corresponding to the fully-qualified
class name of the template instance (typically ReactiveCqlTemplate
, but it may be different if you are using
a custom subclass of the ReactiveCqlTemplate
class).
10.4.1. Examples of ReactiveCqlTemplate
class usage
This section provides some examples of ReactiveCqlTemplate
class usage. These examples are not an exhaustive list
of all of the functionality exposed by the ReactiveCqlTemplate
; see the attendant Javadocs for that.
Querying (SELECT) with ReactiveCqlTemplate
Here is a simple query for getting the number of rows in a relation:
Mono<Integer> rowCount = reactiveCqlTemplate.queryForObject("select count(*) from t_actor", Integer.class);
A simple query using a bind variable:
Mono<Integer> countOfActorsNamedJoe = reactiveCqlTemplate.queryForObject(
"select count(*) from t_actor where first_name = ?", Integer.class, "Joe");
Querying for a String
:
Mono<String> lastName = reactiveCqlTemplate.queryForObject(
"select last_name from t_actor where id = ?",
String.class, 1212L);
Querying and populating a single domain object:
Mono<Actor> actor = reactiveCqlTemplate.queryForObject(
"select first_name, last_name from t_actor where id = ?",
new RowMapper<Actor>() {
public Actor mapRow(Row row, int rowNum) {
Actor actor = new Actor();
actor.setFirstName(row.getString("first_name"));
actor.setLastName(row.getString("last_name"));
return actor;
},
new Object[]{1212L},
});
Querying and populating a number of domain objects:
Flux<Actor> actors = reactiveCqlTemplate.query(
"select first_name, last_name from t_actor",
new RowMapper<Actor>() {
public Actor mapRow(Row row int rowNum) {
Actor actor = new Actor();
actor.setFirstName(row.getString("first_name"));
actor.setLastName(row.getString("last_name"));
return actor;
}
});
If the last two snippets of code actually existed in the same application, it would make sense to remove the
duplication present in the two RowMapper
anonymous inner classes, and extract them out into a single class
(typically a static
nested class) that can then be referenced by DAO methods as needed.
For example, it may be better to write the last code snippet as follows:
public Flux<Actor> findAllActors() {
return reactiveCqlTemplate.query("select first_name, last_name from t_actor", ActorMapper.INSTANCE);
}
enum ActorMapper implements RowMapper<Actor> {
INSTANCE;
public Actor mapRow(Row row, int rowNum) {
Actor actor = new Actor();
actor.setFirstName(row.getString("first_name"));
actor.setLastName(row.getString("last_name"));
return actor;
}
}
Updating (INSERT/UPDATE/DELETE) with ReactiveCqlTemplate
You use the execute(…)
method to perform insert, update and delete operations. Parameter values are usually
provided as var args or alternatively as an Object array.
Mono<Boolean> applied = reactiveCqlTemplate.execute(
"insert into t_actor (first_name, last_name) values (?, ?)",
"Leonor", "Watling");
Mono<Boolean> applied = reactiveCqlTemplate.execute(
"update t_actor set last_name = ? where id = ?",
"Banjo", 5276L);
Mono<Boolean> applied = reactiveCqlTemplate.execute(
"delete from actor where id = ?",
Long.valueOf(actorId));
10.5. Exception Translation
The Spring Framework provides exception translation for a wide variety of database and mapping technologies.
This has traditionally been for JDBC and JPA. Spring Data for Apache Cassandra extends this feature to Apache Cassandra
by providing an implementation of the org.springframework.dao.support.PersistenceExceptionTranslator
interface.
The motivation behind mapping to Spring’s consistent data access exception hierarchy
is that you are then able to write portable and descriptive exception handling code without resorting to coding against
and handling specific Cassandra Exceptions. All of Spring’s data access exceptions are inherited from the root,
DataAccessException
class so you can be sure that you will be able to catch all database related exceptions
within a single try-catch block.
ReactiveCqlTemplate
and ReactiveCassandraTemplate
propagate exceptions as early as possible. Exceptions that occur
during execution of the reactive sequence are emitted as error signals.
10.6. Introduction to ReactiveCassandraTemplate
The ReactiveCassandraTemplate
class, located in the package org.springframework.data.cassandra
, is the central class
in Spring Data’s Cassandra support providing a rich feature set to interact with the database. The template offers
convenience data access operations to create, update, delete and query Cassandra, and provides a mapping between
your domain objects and Cassandra table rows.
Once configured, ReactiveCassandraTemplate is Thread-safe and can be reused across multiple instances.
|
The mapping between rows in a Cassandra table and domain classes is done by delegating to an implementation of
the CassandraConverter
interface. Spring provides a default implementation, MappingCassandraConverter
,
but you can also write your own custom converter. Please refer to the section on Cassandra conversion
for more detailed information.
The ReactiveCassandraTemplate
class implements the ReactiveCassandraOperations
interface. In as much as possible,
the methods in ReactiveCassandraOperations
are named after methods available with Cassandra to make the API familiar
to existing Cassandra developers who are familiar with Cassandra.
For example, you will find methods such as "select", "insert", "delete", and "update". The design goal was to make it
as easy as possible to transition between the use of the base Cassandra driver and ReactiveCassandraOperations
.
A major difference between the two APIs is that ReactiveCassandraOperations
can be passed domain objects instead of
CQL and query objects.
The preferred way to reference operations on a ReactiveCassandraTemplate instance is via its interface,
ReactiveCassandraOperations .
|
The default converter implementation used by ReactiveCassandraTemplate
is MappingCassandraConverter
.
While the MappingCassandraConverter
can make use of additional metadata to specify the mapping of objects to rows
it is also capable of converting objects that contain no additional metadata by using conventions for the mapping of
fields and table names. These conventions as well as the use of mapping annotations is explained in the
Mapping chapter.
Another central feature of CassandraTemplate
is exception translation of exceptions thrown by the Cassandra
Java driver into Spring’s portable Data Access Exception hierarchy. Refer to the section on
exception translation for more information.
Now, let’s look at examples of how to work with the CassandraTemplate
in the context of the Spring container.
10.6.1. Instantiating ReactiveCassandraTemplate
ReactiveCassandraTemplate
should always be configured as a Spring bean, although we show an example above
where you can instantiate it directly. But, for the purposes of this being a Spring module, lets assume
we are using the Spring container.
There are 2 easy ways to get a ReactiveCassandraTemplate
, depending on how you load you Spring ApplicationContext
.
Autowiring
@Autowired
private ReactiveCassandraOperations reactiveCassandraOperations;
Like all Spring Autowiring, this assumes there is only one bean of type ReactiveCassandraOperations
in the ApplicationContext
.
If you have multiple ReactiveCassandraTemplate
beans (which will be the case if you are working with multiple Keyspaces
in the same project), then use the `@Qualifier`annotation to designate which bean you want to Autowire.
@Autowired
@Qualifier("keyspaceTwoTemplateBeanId")
private ReactiveCassandraOperations reactiveCassandraOperations;
Bean Lookup with ApplicationContext
You can also just lookup the CassandraTemplate
bean from the ApplicationContext
.
ReactiveCassandraOperations reactiveCassandraOperations = applicationContext.getBean("reactiveCassandraOperations", ReactiveCassandraOperations.class);
10.7. Saving, Updating, and Removing Rows
ReactiveCassandraTemplate
provides a simple way for you to save, update, and delete your domain objects,
and map those objects to tables managed in Cassandra.
10.7.1. Methods for inserting and updating rows
There are several convenient methods on CassandraTemplate
for saving and inserting your objects. To have more
fine-grained control over the conversion process you can register Spring Converter`s with the `MappingCassandraConverter
.
For example, Converter<Row, Person>
.
The difference between insert and update operations is that an INSERT operation will not insert null values.
|
The simple case of using the INSERT operation is to save a POJO. In this case the table name will be determined by the simple class name (not fully-qualified class name). The table to store the object can be overridden using mapping metadata.
When inserting or updating, the id
property must be set. There is no means to generate an ID in Apache Cassandra.
Here is a basic example of using the save operation and retrieving its contents.
CassandraTemplate
import static org.springframework.data.cassandra.core.query.Criteria.where;
import static org.springframework.data.cassandra.core.query.Query.query;
…
Person bob = new Person("Bob", 33);
cassandraTemplate.insert(bob);
Mono<Person> queriedBob = reactiveCassandraTemplate.selectOneById(query(where("age").is(33)), Person.class);
The insert/save operations available to you are listed below.
-
void
insert(Object objectToSave)
Insert the object in an Apache Cassandra table. -
WriteResult
insert(Object objectToSave, InsertOptions options)
Insert the object in an Apache Cassandra table applyingInsertOptions
.
A similar set of update operations is listed below
-
void
update(Object objectToSave)
Update the object in an Apache Cassandra table. -
WriteResult
update(Object objectToSave, UpdateOptions options)
Update the object in an Apache Cassandra table applyingUpdateOptions
.
Then, there is always the old fashioned way. You can write your own CQL statements.
String cql = "insert into person (age, name) values (39, 'Bob')";
Mono<Boolean> applied = reactiveCassandraTemplate.getReactiveCqlOperations().execute(cql);
You can also configure additional options such as TTL, consistency level and lightweight transactions
using InsertOptions
and UpdateOptions
.
Which table will my rows be inserted into?
There are two ways to manage the collection name that is used for operating on the tables. The default table name
used is based on the simple class name changed to start with a lower-case letter. So an instance of
the com.example.Person
class would be stored in in a table called "person". You can customize this by providing
a different collection name using the @Table
annotation.
10.7.2. Updating rows in a table
For updates, we can select to update a number of rows.
Here is an example of updating a single account object where we are adding a one-time $50.00 bonus to the balance
using the +
assignment.
CasandraTemplate
import static org.springframework.data.cassandra.core.query.Criteria.where;
import org.springframework.data.cassandra.core.query.Query;
import org.springframework.data.cassandra.core.query.Update;
...
Mono<Boolean> wasApplied = reactiveCassandraTemplate.update(Query.query(where("id").is("foo")),
Update.create().increment("balance", 50.00), Account.class);
In addition to the Query
discussed above we provide the update definition using an Update
object.
The Update
class has methods that match the update assignments available for Apache Cassandra.
As you can see most methods return the Update
object to provide a fluent API for code styling purposes.
Read more about Query
and Update
.
11. Cassandra Repositories
11.1. Introduction
This chapter covers the details of the Spring Data Repository support for Apache Cassandra. Cassandra’s Repository support builds on the core Repository support explained in Working with Spring Data Repositories. So make sure you understand of the basic concepts explained there before proceeding.
11.2. Usage
To access domain entities stored in Apache Cassandra, you can leverage Spring Data’s sophisticated Repository support that eases implementing DAOs quite significantly. To do so, simply create an interface for your Repository:
@Table
public class Person {
@Id
private String id;
private String firstname;
private String lastname;
// … getters and setters omitted
}
We have a simple domain object here. Note that the entity has a property named id
of type String
.
The default serialization mechanism used in CassandraTemplate
(which is backing the Repository support)
regards properties named id as row id.
public interface PersonRepository extends CrudRepository<Person, String> {
// additional custom finder methods go here
}
Right now this interface simply serves typing purposes, but we will add additional methods to it later. In your Spring configuration simply add:
<?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:cassandra="http://www.springframework.org/schema/data/cassandra"
xsi:schemaLocation="
http://www.springframework.org/schema/data/cassandra
http://www.springframework.org/schema/data/cassandra/spring-cassandra.xsd
http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans.xsd">
<cassandra:cluster port="9042"/>
<cassandra:session keyspace-name="keyspaceName"/>
<cassandra:mapping
entity-base-packages="com.acme.*.entities">
</cassandra:mapping>
<cassandra:converter/>
<cassandra:template/>
<cassandra:repositories base-package="com.acme.*.entities"/>
</beans>
The cassandra:repositories
namespace element will cause the base packages to be scanned for interfaces
extending CrudRepository
and create Spring beans for each one found. By default, the Repositories will be
wired with a CassandraTemplate
Spring bean called cassandraTemplate
, so you only need to configure
cassandra-template-ref
explicitly if you deviate from this convention.
If you’d rather like to go with JavaConfig use the @EnableCassandraRepositories
annotation. The annotation carries
the same attributes as the namespace element. If no base package is configured the infrastructure will scan
the package of the annotated configuration class.
@Configuration
@EnableCassandraRepositories
class ApplicationConfig extends AbstractCassandraConfiguration {
@Override
protected String getKeyspaceName() {
return "keyspace";
}
public String[] getEntityBasePackages() {
return new String[] { "com.oreilly.springdata.cassandra" };
}
}
As our domain Repository extends CrudRepository
it provides you with basic CRUD operations.
Working with the Repository instance is just a matter of injecting the Repository as a dependency into a client.
@RunWith(SpringJUnit4ClassRunner.class)
@ContextConfiguration
public class PersonRepositoryTests {
@Autowired PersonRepository repository;
@Test
public void readsPersonTableCorrectly() {
List<Person> persons = repository.findAll();
assertThat(persons.isEmpty()).isFalse();
}
}
Cassandra repositories support paging and sorting for paginated and sorted access to the entities. Cassandra paging requires a paging state to forward-only navigate through pages. A Slice
keeps track of the current paging state and allows creation of a Pageable
to request the next page.
@RunWith(SpringJUnit4ClassRunner.class)
@ContextConfiguration
public class PersonRepositoryTests {
@Autowired PersonRepository repository;
@Test
public void readsPagesCorrectly() {
Slice<Person> firstBatch = repository.findAll(CassandraPageRequest.first(10));
assertThat(firstBatch).hasSize(10);
Page<Person> nextBatch = repository.findAll(firstBatch.nextPageable());
// …
}
}
Cassandra repositories do not extend PagingAndSortingRepository because classic paging patterns using limit/offset are not applicable to Cassandra.
|
The sample creates an application context with Spring’s unit test support, which will perform annotation-based
dependency injection into the test class. Inside the test cases (test methods) we simply use the Repository to query
the data store. We invoke the Repository query method that requests the all Person
instances.
11.3. Query methods
Most of the data access operations you usually trigger on a Repository result in a query being executed against the Apache Cassandra database. Defining such a query is just a matter of declaring a method on the Repository interface.
public interface PersonRepository extends CrudRepository<Person, String> {
List<Person> findByLastname(String lastname); (1)
Slice<Person> findByFirstname(String firstname, Pageable pageRequest); (2)
List<Person> findByFirstname(String firstname, QueryOptions opts); (3)
List<Person> findByFirstname(String firstname, Sort sort); (4)
Person findByShippingAddress(Address address); (5)
Stream<Person> findAllBy(); (6)
}
1 | The method shows a query for all people with the given lastname . The query will be derived from parsing
the method name for constraints which can be concatenated with And . Thus the method name will result in
a query expression of SELECT * from person WHERE lastname = 'lastname' . |
2 | Applies pagination to a query. Just equip your method signature with a Pageable parameter and let the method return a Slice instance and we will automatically page the query accordingly. |
3 | Passing a QueryOptions object will apply the query options to the resulting query before it’s execution. |
4 | Applies dynamic sorting to a query. Just add a Sort parameter to your method signature and Spring Data
will automatically apply ordering to the query accordingly. |
5 | Shows that you can query based on properties which are not a primitive type using registered Converter’s
in `CustomConversions . |
6 | Uses a Java 8 Stream which reads and converts individual elements while iterating the stream. |
Querying non-primary key properties requires secondary indexes. |
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11.3.1. Projections
Spring Data query methods usually return one or multiple instances of the aggregate root managed by the repository. However, it might sometimes be desirable to rather project on certain attributes of those types. Spring Data allows to model dedicated return types to more selectively retrieve partial views onto the managed aggregates.
Imagine a sample repository and aggregate root type like this:
class Person {
@Id UUID id;
String firstname, lastname;
Address address;
static class Address {
String zipCode, city, street;
}
}
interface PersonRepository extends Repository<Person, UUID> {
Collection<Person> findByLastname(String lastname);
}
Now imagine we’d want to retrieve the person’s name attributes only. What means does Spring Data offer to achieve this?
Interface-based projections
The easiest way to limit the result of the queries to expose the name attributes only is by declaring an interface that will expose accessor methods for the properties to be read:
interface NamesOnly {
String getFirstname();
String getLastname();
}
The important bit here is that the properties defined here exactly match properties in the aggregate root. This allows a query method to be added like this:
interface PersonRepository extends Repository<Person, UUID> {
Collection<NamesOnly> findByLastname(String lastname);
}
The query execution engine will create proxy instances of that interface at runtime for each element returned and forward calls to the exposed methods to the target object.
Projections can be used recursively. If you wanted to include some of the Address
information as well, create a projection interface for that and return that interface from the declaration of getAddress()
.
interface PersonSummary {
String getFirstname();
String getLastname();
AddressSummary getAddress();
interface AddressSummary {
String getCity();
}
}
On method invocation, the address
property of the target instance will be obtained and wrapped into a projecting proxy in turn.
Closed projections
A projection interface whose accessor methods all match properties of the target aggregate are considered closed projections.
interface NamesOnly {
String getFirstname();
String getLastname();
}
If a closed projection is used, Spring Data modules can even optimize the query execution as we exactly know about all attributes that are needed to back the projection proxy. For more details on that, please refer to the module specific part of the reference documentation.
Open projections
Accessor methods in projection interfaces can also be used to compute new values by using the @Value
annotation on it:
interface NamesOnly {
@Value("#{target.firstname + ' ' + target.lastname}")
String getFullName();
…
}
The aggregate root backing the projection is available via the target
variable.
A projection interface using @Value
an open projection.
Spring Data won’t be able to apply query execution optimizations in this case as the SpEL expression could use any attributes of the aggregate root.
The expressions used in @Value
shouldn’t become too complex as you’d want to avoid programming in String
s.
For very simple expressions, one option might be to resort to default methods:
interface NamesOnly {
String getFirstname();
String getLastname();
default String getFullName() {
return getFirstname.concat(" ").concat(getLastname());
}
}
This approach requires you to be able to implement logic purely based on the other accessor methods exposed on the projection interface. A second, more flexible option is to implement the custom logic in a Spring bean and then simply invoke that from the SpEL expression:
@Component
class MyBean {
String getFullName(Person person) {
…
}
}
interface NamesOnly {
@Value("#{@myBean.getFullName(target)}")
String getFullName();
…
}
Note, how the SpEL expression refers to myBean
and invokes the getFullName(…)
method forwarding the projection target as method parameter.
Methods backed by SpEL expression evaluation can also use method parameters which can then be referred to from the expression.
The method parameters are available via an Object
array named args
.
interface NamesOnly {
@Value("#{args[0] + ' ' + target.firstname + '!'}")
String getSalutation(String prefix);
}
Again, for more complex expressions rather use a Spring bean and let the expression just invoke a method as described above.
Class-based projections (DTOs)
Another way of defining projections is using value type DTOs that hold properties for the fields that are supposed to be retrieved. These DTO types can be used exactly the same way projection interfaces are used, except that no proxying is going on here and no nested projections can be applied.
In case the store optimizes the query execution by limiting the fields to be loaded, the ones to be loaded are determined from the parameter names of the constructor that is exposed.
class NamesOnly {
private final String firstname, lastname;
NamesOnly(String firstname, String lastname) {
this.firstname = firstname;
this.lastname = lastname;
}
String getFirstname() {
return this.firstname;
}
String getLastname() {
return this.lastname;
}
// equals(…) and hashCode() implementations
}
Avoiding boilerplate code for projection DTOs
The code that needs to be written for a DTO can be dramatically simplified using Project Lombok, which provides an
Fields are private final by default, the class exposes a constructor taking all fields and automatically gets |
Dynamic projections
So far we have used the projection type as the return type or element type of a collection. However, it might be desirable to rather select the type to be used at invocation time. To apply dynamic projections, use a query method like this:
interface PersonRepository extends Repository<Person, UUID> {
Collection<T> findByLastname(String lastname, Class<T> type);
}
This way the method can be used to obtain the aggregates as is, or with a projection applied:
void someMethod(PersonRepository people) {
Collection<Person> aggregates =
people.findByLastname("Matthews", Person.class);
Collection<NamesOnly> aggregates =
people.findByLastname("Matthews", NamesOnly.class);
}
11.3.2. Query options
You can specify query options for query methods by passing a QueryOptions
object
to apply options to the query before the actual query execution.
QueryOptions
is treated as non-query parameter and isn’t considered as query parameter value.
For static declaration of a consistency level, use the @Consistency
annotation on query methods.
The declared consistency level is applied to the query each time it is executed.
Query options are applicable to derived and string @Query
repository methods.
public interface PersonRepository extends CrudRepository<Person, String> { @Consistency(ConsistencyLevel.LOCAL_ONE) List<Person> findByLastname(String lastname); List<Person> findByFirstname(String firstname, QueryOptions options); }
You can control fetch size, consistency level and retry policy defaults by configuring these parameters
on the CQL API instances CqlTemplate , AsyncCqlTemplate , and ReactiveCqlTemplate . Defaults apply if the particular
query option is not set.
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11.4. Miscellaneous
11.4.1. CDI Integration
Instances of the Repository interfaces are usually created by a container, and the Spring container is
the most natural choice when working with Spring Data. Spring Data for Apache Cassandra ships with
a custom CDI extension that allows using the repository abstraction in CDI environments. The extension
is part of the JAR so all you need to do to activate it is dropping the Spring Data for Apache Cassandra JAR
into your classpath. You can now set up the infrastructure by implementing a CDI Producer for the CassandraTemplate
:
class CassandraTemplateProducer {
@Produces
@Singleton
public Cluster createCluster() throws Exception {
CassandraConnectionProperties properties = new CassandraConnectionProperties();
Cluster cluster = Cluster.builder().addContactPoint(properties.getCassandraHost())
.withPort(properties.getCassandraPort()).build();
return cluster;
}
@Produces
@Singleton
public Session createSession(Cluster cluster) throws Exception {
return cluster.connect();
}
@Produces
@ApplicationScoped
public CassandraOperations createCassandraOperations(Session session) throws Exception {
MappingCassandraConverter cassandraConverter = new MappingCassandraConverter();
cassandraConverter.setUserTypeResolver(new SimpleUserTypeResolver(session.getCluster(), session.getLoggedKeyspace()));
CassandraAdminTemplate cassandraTemplate = new CassandraAdminTemplate(session, cassandraConverter);
return cassandraTemplate;
}
public void close(@Disposes Session session) {
session.close();
}
public void close(@Disposes Cluster cluster) {
cluster.close();
}
}
The Spring Data for Apache Cassandra CDI extension will pick up CassandraOperations
available as CDI bean
and create a proxy for a Spring Data Repository whenever an bean of a Repository type is requested by the container.
Thus obtaining an instance of a Spring Data Repository is a matter of declaring an @Inject
-ed property:
class RepositoryClient {
@Inject
PersonRepository repository;
public void businessMethod() {
List<Person> people = repository.findAll();
}
}
12. Reactive Cassandra Repositories
12.1. Introduction
This chapter will outline the specialties handled by the reactive Repository support for Apache Cassandra. This builds on the core Repository infrastructure explained in Cassandra Repositories, so make sure you have a good understanding of the basic concepts explained there.
Reactive usage is broken up into two phases: Composition and Execution.
Calling Repository methods lets you compose a reactive sequence by obtaining Publisher
s and applying operators.
No I/O happens until now. Passing the reactive sequence to a reactive execution infrastructure,
such as Spring WebFlux
or Vert.x), will subscribe to the publisher and initiate
the actual execution.
12.2. Reactive Composition Libraries
The reactive space offers various reactive composition libraries. The most common libraries are RxJava and Project Reactor.
Spring Data for Apache Cassandra is built on top of the DataStax Cassandra Driver.
The driver is not reactive but the asynchronous capabilities allow us to adopt and expose the Publisher
APIs
in order to provide maximum interoperability by relying on the Reactive Streams initiative.
Static APIs, such as ReactiveCassandraOperations
, are provided by using Project Reactor’s Flux
and Mono
types.
Project Reactor offers various adapters to convert reactive wrapper types (Flux
to Observable
and vice versa)
but conversion can easily clutter your code.
Spring Data’s Repository abstraction is a dynamic API, mostly defined by you and your requirements, as you are declaring query methods. Reactive Cassandra Repositories can be either implemented using RxJava or Project Reactor wrapper types by simply extending from one of the library-specific repository interfaces:
-
ReactiveCrudRepository
-
ReactiveSortingRepository
-
RxJava2CrudRepository
-
RxJava2SortingRepository
Spring Data converts reactive wrapper types behind the scenes so that you can stick to your favorite composition library.
12.3. Usage
To access entities stored in Apache Cassandra, you can leverage Spring Data’s sophisticated Repository support, which eases implementing DAOs quite significantly. To do so, simply create an interface for your Repository:
@Table
public class Person {
@Id
private String id;
private String firstname;
private String lastname;
// … getters and setters omitted
}
We have a simple domain object here. Note that the entity has a property named “id” of type String
.
The default serialization mechanism used in CassandraTemplate
(which is backing the Repository support)
regards properties named "id" as the row id.
public interface ReactivePersonRepository extends ReactiveSortingRepository<Person, Long> {
@AllowFiltering
Flux<Person> findByFirstname(String firstname);
@AllowFiltering
Flux<Person> findByFirstname(Publisher<String> firstname);
@AllowFiltering
Mono<Person> findByFirstnameAndLastname(String firstname, String lastname);
}
For JavaConfig, use the @EnableReactiveCassandraRepositories
annotation. The annotation carries the very same attributes
like the corresponding XML namespace element. If no base package is configured the infrastructure will scan the package
of the annotated configuration class.
@Configuration
@EnableReactiveCassandraRepositories
class ApplicationConfig extends AbstractReactiveCassandraConfiguration {
@Override
protected String getKeyspaceName() {
return "keyspace";
}
public String[] getEntityBasePackages() {
return new String[] { "com.oreilly.springdata.cassandra" };
}
}
Since our domain Repository extends ReactiveSortingRepository
, it provides you with CRUD operations
as well as methods for sorted access to the entities. Working with the Repository instance is just a matter of
dependency injecting it into a client.
public class PersonRepositoryTests {
@Autowired ReactivePersonRepository repository;
@Test
public void sortsElementsCorrectly() {
Flux<Person> people = repository.findAll(Sort.by(new Order(ASC, "lastname")));
}
}
12.4. Features
Spring Data’s Reactive Cassandra support comes with the same set of features as imperative repositories.
The following features are supported:
-
Query Methods using String queries and Query Derivation
Query methods must return a reactive type. Resolved types (User vs. Mono<User> ) are not supported.
|
13. Mapping
Rich object mapping support is provided by the MappingCassandraConverter
. MappingCassandraConverter
has a
rich metadata model that provides a complete feature set of functionality to map domain objects to CQL tables.
The mapping metadata model is populated using annotations on your domain objects. However, the infrastructure
is not limited to using annotations as the only source of metadata. The MappingCassandraConverter
also allows you
to map domain objects to tables without providing any additional metadata, by following a set of conventions.
In this section we will describe the features of the MappingCassandraConverter
, how to use conventions for
mapping domain objects to tables and how to override those conventions with annotation-based mapping metadata.
13.1. Data Mapping and Type Conversion
This section explains how types are mapped to an Apache Cassandra representation and vice versa.
Spring Data for Apache Cassandra supports several types that are provided by Apache Cassandra. In addition to these types, Spring Data for Apache Cassandra provides a set of built-in converters to map additional types. You can provide your own custom converters to adjust type conversion, see Overriding Mapping with explicit Converters for further details.
Type | Cassandra types |
---|---|
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user type |
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Each supported type maps to a default
Cassandra data type.
Java types can be mapped to other Cassandra types by using @CassandraType
.
@Table
public class EnumToOrdinalMapping {
@PrimaryKey String id;
@CassandraType(type = Name.INT) Condition asOrdinal;
}
public enum Condition {
NEW, USED
}
Enum mapping using ordinal values requires at least Spring 4.3.0. Using earlier Spring versions requires
custom converters for each Enum type.
|
13.2. Convention-based Mapping
MappingCassandraConverter
uses a few conventions for mapping domain objects to CQL tables when no additional
mapping metadata is provided. The conventions are:
-
The simple (short) Java class name is mapped to the table name in the following manner. The class
com.bigbank.SavingsAccount
maps to a table named, “savingsaccount”. -
The converter will use any registered Spring `Converter`s to override the default mapping of object properties to tables fields.
-
The properties of an object are used to convert to and from properties in the table.
13.2.1. Mapping Configuration
Unless explicitly configured, an instance of MappingCassandraConverter
is created by default when creating
a CassandraTemplate
. You can create your own instance of the MappingCassandraConverter
so as to tell it
where to scan the classpath at startup for your domain classes in order to extract metadata and construct indexes.
Also, by creating your own instance you can register Spring `Converter`s to use for mapping specific classes to and from the database.
@Configuration
public static class Config extends AbstractCassandraConfiguration {
@Override
protected String getKeyspaceName() {
return "bigbank";
}
// the following are optional
@Override
public CustomConversions customConversions() {
List<Converter<?, ?>> converters = new ArrayList<Converter<?, ?>>();
converters.add(new PersonReadConverter());
converters.add(new PersonWriteConverter());
return new CustomConversions(converters);
}
@Override
public SchemaAction getSchemaAction() {
return SchemaAction.RECREATE;
}
// other methods omitted...
}
AbstractCassandraConfiguration
requires you to implement methods that define a Keyspace.
AbstractCassandraConfiguration
also has a method you can override named getEntityBasePackages(…)
which tells the converter where to scan for classes annotated with the @Table
annotation.
You can add additional converters to the MappingCassandraConverter
by overriding the method customConversions
.
AbstractCassandraConfiguration will create a CassandraTemplate instance and register it with the container
under the name cassandraTemplate .
|
13.3. Metadata-based Mapping
To take full advantage of the object mapping functionality inside the Spring Data for Apache Cassandra support,
you should annotate your mapped domain objects with the @Table
annotation. It allows the classpath scanner to find
and pre-process your domain objects to extract the necessary metadata. Only annotated entities will be used
to perform schema actions. In the worst case, a SchemaAction.RECREATE_DROP_UNUSED
will drop your tables
and you will lose your data.
package com.mycompany.domain;
@Table
public class Person {
@Id
private String id;
@CassandraType(type = Name.VARINT)
private Integer ssn;
private String firstName;
private String lastName;
}
The @Id annotation tells the mapper which property you want to use for the Cassandra primary key.
Composite primary keys can require a slightly different data model.
|
13.3.1. Working with Primary Keys
Cassandra requires at least one partition key field for a CQL table. A table can additionally declare one or more
clustering key fields. When your CQL table has a composite primary key, you must create a @PrimaryKeyClass
to define
the structure of the composite primary key. In this context, composite primary key means one or more partition columns
optionally combined with one or more clustering columns.
Primary keys can make use of any singular simple Cassandra type or mapped User-Defined Type. Collection-typed primary keys are not supported.
Simple Primary Key
A simple primary key consists of one partition key field within an entity class. Since it’s one field only, we safely can assume it’s a partition key.
CREATE TABLE user (
user_id text,
firstname text,
lastname text,
PRIMARY KEY (user_id))
;
@Table(value = "login_event")
public class LoginEvent {
@PrimaryKey("user_id")
private String userId;
private String firstname;
private String lastname;
// getters and setters omitted
}
Composite Key
Composite primary keys (or compound keys) consist of more than one primary key field. That said, a composite primary key can consist of multiple partition keys, a partition key and a clustering key, or a multitude of primary key fields.
Composite keys can be represented in two ways with Spring Data for Apache Cassandra:
-
Embedded in an entity.
-
By using
@PrimaryKeyClass
.
The simplest form 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.
CREATE TABLE login_event(
person_id text,
event_code int,
event_time timestamp,
ip_address text,
PRIMARY KEY (person_id, event_code, event_time))
WITH CLUSTERING ORDER BY (event_time DESC)
;
Flat Composite Primary Key
Flat composite primary keys are embedded inside the entity as flat fields. Primary key fields are annotated with
@PrimaryKeyColumn
along with other fields in the entity. Selection requires either a query to contain predicates
for the individual fields or the use of MapId
.
@Table(value = "login_event")
public class LoginEvent {
@PrimaryKeyColumn(name = "person_id", ordinal = 0, type = PrimaryKeyType.PARTITIONED)
private String personId;
@PrimaryKeyColumn(name = "event_code", ordinal = 1, type = PrimaryKeyType.PARTITIONED)
private int eventCode;
@PrimaryKeyColumn(name = "event_time", ordinal = 2, type = PrimaryKeyType.CLUSTERED, ordering = Ordering.DESCENDING)
private Date eventTime;
@Column("ip_address)
private String ipAddress;
// getters and setters omitted
}
Primary Key Class
A primary key class is a composite primary key class that is mapped to multiple fields or properties of the entity.
It’s annotated with @PrimaryKeyClass
and defines equals
and hashCode
methods. The semantics of value equality
for these methods should be consistent with the database equality for the database types to which the key is mapped.
Primary key classes can be used with Repositories (as the Id type) and to represent an entities' identity
in a single complex object.
@PrimaryKeyClass
public class LoginEventKey implements Serializable {
@PrimaryKeyColumn(name = "person_id", ordinal = 0, type = PrimaryKeyType.PARTITIONED)
private String personId;
@PrimaryKeyColumn(name = "event_code", ordinal = 1, type = PrimaryKeyType.PARTITIONED)
private int eventCode;
@PrimaryKeyColumn(name = "event_time", ordinal = 2, type = PrimaryKeyType.CLUSTERED, ordering = Ordering.DESCENDING)
private Date eventTime;
// other methods omitted
}
@Table(value = "login_event")
public class LoginEvent {
@PrimaryKey
private LoginEventKey key;
@Column("ip_address)
private String ipAddress;
// getters and setters omitted
}
PrimaryKeyClass must implement Serializable and should provide implementations of equals() and hashCode() .
|
13.3.2. Mapping annotation overview
The MappingCassandraConverter
can use metadata to drive the mapping of objects to rows in a Cassandra table.
An overview of the annotations is provided below:
-
@Id
- applied at the field or property level to mark the property used for identity purpose. -
@Table
- applied at the class level to indicate this class is a candidate for mapping to the database. You can specify the name of the table where the object will be stored. -
@PrimaryKey
- Similar to@Id
but allows you to specify the column name. -
@PrimaryKeyColumn
- Cassandra-specific annotation for primary key columns that allows you to specify primary key column attributes such as for clustered/partitioned. Can be used on single and multiple attributes to indicate either a single or a composite (compound) primary key. -
@PrimaryKeyClass
- applied at the class level to indicate this class is a compound primary key class. Requires to be referenced with@PrimaryKey
in the entity class. -
@Transient
- by default all private fields are mapped to the row, this annotation excludes the field where it is applied from being stored in the database. -
@Column
- applied at the field level. Describes the column name as it will be represented in the Cassandra table thus allowing the name to be different than the field name of the class. -
@Indexed
- applied at the field level. Describes the index to be created at session initialization. -
@SASI
- applied at the field level. Allows SASI index creation during session initialization. -
@CassandraType
- applied at the field level to specify a Cassandra data type. Types are derived from the declaration by default. -
@UserDefinedType
- applied at the type level to specify a Cassandra User-defined Data Type (UDT). Types are derived from the declaration by default.
The mapping metadata infrastructure is defined in the separate, spring-data-commons project that is both technology and data store agnostic.
Here is an example of a more complex mapping.
Person
class@Table("my_person")
public class Person {
@PrimaryKeyClass
public static class Key implements Serializable {
@PrimaryKeyColumn(ordinal = 0, type = PrimaryKeyType.PARTITIONED)
private String type;
@PrimaryKeyColumn(ordinal = 1, type = PrimaryKeyType.PARTITIONED)
private String value;
@PrimaryKeyColumn(name = "correlated_type", ordinal = 2, type = PrimaryKeyType.CLUSTERED)
private String correlatedType;
// other getters/setters ommitted
}
@PrimaryKey
private Person.Key key;
@CassandraType(type = Name.VARINT)
private Integer ssn;
@Column("f_name")
private String firstName;
@Column(forceQuote = true)
@Indexed
private String lastName;
private Address address;
@CassandraType(type = Name.UDT, userTypeName = "myusertype")
private UDTValue usertype;
@Transient
private Integer accountTotal;
@CassandraType(type = Name.SET, typeArguments = Name.BIGINT)
private Set<Long> timestamps;
private Map<@Indexed String, InetAddress> sessions;
public Person(Integer ssn) {
this.ssn = ssn;
}
public String getId() {
return id;
}
// no setter for Id. (getter is only exposed for some unit testing)
public Integer getSsn() {
return ssn;
}
// other getters/setters ommitted
}
Address
@UserDefinedType("address")
public class Address {
@CassandraType(type = Name.VARCHAR)
private String street;
private String city;
private Set<String> zipcodes;
@CassandraType(type = Name.SET, typeArguments = Name.BIGINT)
private List<Long> timestamps;
// other getters/setters ommitted
}
Working with User-Defined Types requires a UserTypeResolver configured with the mapping context.
See the configuration chapter for how to configure a UserTypeResolver .
|
Index creation
You can annotate particular entity properties with @Indexed
or @SASI
if you wish to create Secondary Indexes
on application startup. Index creation will create simple Secondary Indexes for scalar types, user-defined,
and collection types.
You can configure a SASI Index to apply an analyzer such as StandardAnalyzer
or NonTokenizingAnalyzer
via
@StandardAnalyzed
respective @NonTokenizingAnalyzed
.
Map types distinguish between ENTRY
, KEYS
and VALUES
Indexes. Index creation derives the Index type
from the annotated element:
@Table
public class Person {
@Id
private String key;
@SASI @StandardAnalyzed
private String names;
@Indexed("indexed_map")
private Map<String, String> entries;
private Map<@Indexed String, String> keys;
private Map<String, @Indexed String> values;
// …
}
Index creation on session initialization may have a severe performance impact on application startup. |
13.3.3. Overriding Mapping with explicit Converters
When storing and querying your objects it is convenient to have a CassandraConverter
instance handle the mapping
of all Java types to Rows. However, sometimes you may want the CassandraConverter
to do most of the work
but still allow you to selectively handle the conversion for a particular type, or to optimize performance.
To selectively handle the conversion yourself, register one or more org.springframework.core.convert.converter.Converter
instances with the CassandraConverter
.
Spring 3.0 introduced a o.s.core.convert package that provides a general type conversion system.
This is described in detail in the Spring reference documentation section entitled
Spring Type Conversion.
|
Below is an example of a Spring Converter
implementation that converts from a Row to a Person POJO.
@ReadingConverter
public class PersonReadConverter implements Converter<Row, Person> {
public Person convert(Row source) {
Person person = new Person(row.getString("id"));
person.setAge(source.getInt("age");
return person;
}
}
Appendix
Appendix A: Namespace reference
The <repositories /> element
The <repositories />
element triggers the setup of the Spring Data repository infrastructure. The most important attribute is base-package
which defines the package to scan for Spring Data repository interfaces.[3]
Name | Description |
---|---|
|
Defines the package to be used to be scanned for repository interfaces extending *Repository (actual interface is determined by specific Spring Data module) in auto detection mode. All packages below the configured package will be scanned, too. Wildcards are allowed. |
|
Defines the postfix to autodetect custom repository implementations. Classes whose names end with the configured postfix will be considered as candidates. Defaults to |
|
Determines the strategy to be used to create finder queries. See Query lookup strategies for details. Defaults to |
|
Defines the location to look for a Properties file containing externally defined queries. |
|
Controls whether nested repository interface definitions should be considered. Defaults to |
Appendix B: Populators namespace reference
The <populator /> element
The <populator />
element allows to populate the a data store via the Spring Data repository infrastructure.[4]
Name | Description |
---|---|
|
Where to find the files to read the objects from the repository shall be populated with. |
Appendix C: Repository query keywords
Supported query keywords
The following table lists the keywords generally supported by the Spring Data repository query derivation mechanism. However, consult the store-specific documentation for the exact list of supported keywords, because some listed here might not be supported in a particular store.
Logical keyword | Keyword expressions |
---|---|
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Appendix D: Repository query return types
Supported query return types
The following table lists the return types generally supported by Spring Data repositories. However, consult the store-specific documentation for the exact list of supported return types, because some listed here might not be supported in a particular store.
Geospatial types like (GeoResult , GeoResults , GeoPage ) are only available for data stores that support geospatial queries.
|
Return type | Description |
---|---|
|
Denotes no return value. |
Primitives |
Java primitives. |
Wrapper types |
Java wrapper types. |
|
An unique entity. Expects the query method to return one result at most. In case no result is found |
|
An |
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A |
|
A |
|
A Java 8 or Guava |
|
An either Scala or JavaSlang |
|
A Java 8 |
|
A |
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A Java 8 |
|
A |
|
A sized chunk of data with information whether there is more data available. Requires a |
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A |
|
A result entry with additional information, e.g. distance to a reference location. |
|
A list of |
|
A |
Appendix E: Migration Guides
Migration Guide from Spring Data Cassandra 1.x to 2.x
Spring Data for Apache Cassandra 2.0 introduces a set of breaking changes when upgrading from earlier versions:
-
Merged the
spring-cql
andspring-data-cassandra
modules into a single module. -
Separated asynchronous and synchronous operations in
CqlOperations
andCassandraOperations
into dedicated interfaces and templates. -
Revised the
CqlTemplate
API to align withJdbcTemplate
. -
Removed the
CassandraOperations.selectBySimpleIds
method. -
Used better names for
CassandraRepository
. -
Removed SD Cassandra
ConsistencyLevel
andRetryPolicy
types in favor of DataStaxConsistencyLevel
andRetryPolicy
types. -
Refactored CQL specifications to value objects/configurators.
-
Refactored
QueryOptions
to be immutable objects. -
Refactored
CassandraPersistentProperty
to single-column.
Deprecations
-
Deprecated
QueryOptionsBuilder.readTimeout(long, TimeUnit)
in favor ofQueryOptionsBuilder.readTimeout(Duration)
. -
Deprecated
CustomConversions
in favor ofCassandraCustomConversions
. -
Deprecated
BasicCassandraMappingContext
in favor ofCassandraMappingContext
. -
Deprecated
o.s.d.c.core.cql.CachedPreparedStatementCreator
in favor ofo.s.d.c.core.cql.support.CachedPreparedStatementCreator
. -
Deprecated
CqlTemplate.getSession()
in favor ofgetSessionFactory()
. -
Deprecated
CqlIdentifier.cqlId(…)
andKeyspaceIdentifier.ksId(…)
in favor of.of(…)
methods. -
Deprecated constructors of
QueryOptions
in favor of their builders. -
Deprecated
TypedIdCassandraRepository
in favor ofCassandraRepository
Merged Spring CQL and Spring Data Cassandra modules
Spring CQL and Spring Data Cassandra are now merged into a single module. The standalone spring-cql
module
is no longer available. Find all types merged into spring-data-cassandra
.
<dependencies>
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-cassandra</artifactId>
<version>2.1.0.M1</version>
</dependency>
</dependencies>
With the merge, we merged all CQL packages into Spring Data Cassandra:
-
Moved
o.s.d.cql
intoo.s.d.cassandra.core.cql
. -
Merged
o.s.d.cql
witho.s.d.cassandra.config
and flattened XML and Java subpackages. -
Moved
CassandraExceptionTranslator
andCqlExceptionTranslator
too.s.d.c.core.cql
. -
Moved Cassandra exceptions
o.s.d.c.support.exception
too.s.d.cassandra
-
Moved
o.s.d.c.convert
too.s.d.c.core.convert
(affects converters) -
Moved
o.s.d.c.mapping
too.s.d.c.core.mapping
(affects mapping annotations) -
Moved
MapId
fromo.s.d.c.repository
too.s.d.c.core.mapping
.
Revised CqlTemplate
/CassandraTemplate
We split CqlTemplate
and CassandraTemplate
in two ways:
-
CassandraTemplate
no longer is aCqlTemplate
but uses an instance which allows reuse and fine-grained control over fetch size, consistency levels and retry policies. You can obtain theCqlOperations
viaCassandraTemplate.getCqlOperations()
. Because of the change, dependency injection ofCqlTemplate
requires additional bean setup. -
CqlTemplate
now reflects basic CQL operations instead of mixing high-level and low-level API (such ascount(…)
vs.execute(…)
) and the reduced method set is aligned with Spring Frameworks’sJdbcTemplate
with its convenient callback interfaces. -
Asynchronous methods are re-implemented on
AsyncCqlTemplate
andAsyncCassandraTemplate
by usingListenableFuture
. We removedCancellable
and the various async callback listeners.ListenableFuture
is a flexible approach and allows transition into aCompletableFuture
.
Removed CassandraOperations.selectBySimpleIds
The method was removed because it did not support complex Ids. The newly introduced query DSL allows mapped and complex id’s for single column Id’s:
cassandraTemplate.select(Query.query(Criteria.where("id").in(…)), Person.class)
Better names for CassandraRepository
We renamed CassandraRepository
and TypedIdCassandraRepository
to align SD Cassandra naming with other
Spring Data modules:
-
Renamed
CassandraRepository
toMapIdCassandraRepository
-
Renamed
TypedIdCassandraRepository
toCassandraRepository
-
Introduced
TypedIdCassandraRepository
extendingCassandraRepository
as deprecated type to ease migration
Removed SD Cassandra ConsistencyLevel
and RetryPolicy
types in favor of DataStax ConsistencyLevel
and RetryPolicy
types
SD Cassandra ConsistencyLevel
and RetryPolicy
have been removed. Please use the types provided by
the DataStax driver directly.
The SD Cassandra types restricted usage of available features provided in and allowed by the Cassandra native driver. As a result, the SD Cassandra’s types required an update each time newer functionality was introduced by the driver.
Refactored CQL specifications to value objects/configurators
CQL specification types are now value types as much as possible (such as FieldSpecification
, AlterColumnSpecification
)
and objects are constructed via static factory methods. This allows immutability for simple value objects.
Configurator objects (such as AlterTableSpecification
) that operate on mandatory properties like a table name,
keyspace name, are initially constructed through a a static factory method and allow further configuration until
the desired state is created.
Refactored QueryOptions
to be immutable objects
QueryOptions
and WriteOptions
are now immutable and can be created through builders. Methods accepting
QueryOptions
enforce non-null objects which are available from static empty()
factory methods.
QueryOptions queryOptions = QueryOptions.builder()
.consistencyLevel(ConsistencyLevel.ANY)
.retryPolicy(FallthroughRetryPolicy.INSTANCE)
.readTimeout(Duration.ofSeconds(10))
.fetchSize(10)
.tracing(true)
.build();
Refactored CassandraPersistentProperty
to single-column
You are only affected by this change if you operate on the mapping model directly.
CassandraPersistentProperty
allowed previously multiple column names to be bound for composite primary key use.
Columns of a CassandraPersistentProperty
are now reduced to a single column. Resolved composite primary keys
mapped to a class via MappingContext.getRequiredPersistentEntity(…)
.