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  • Language
    Java
  • License
    Apache License 2.0
  • Created almost 8 years ago
  • Updated 5 months ago

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Repository Details

Spring Data Relational. Home of Spring Data JDBC and Spring Data R2DBC.

Spring Data JDBC Spring Data JDBC

Spring Data JDBC icon?job=spring data jdbc%2Fmain&subject=Build Gitter

The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud based data services.

Spring Data JDBC, part of the larger Spring Data family, makes it easy to implement JDBC based repositories. This module deals with enhanced support for JDBC based data access layers. It makes it easier to build Spring powered applications that use data access technologies.

It aims at being conceptually easy. In order to achieve this it does NOT offer caching, lazy loading, write behind or many other features of JPA. This makes Spring Data JDBC a simple, limited, opinionated ORM.

Features

  • Implementation of CRUD methods for Aggregates.

  • @Query annotation

  • Support for transparent auditing (created, last changed)

  • Events for persistence events

  • Possibility to integrate custom repository code

  • JavaConfig based repository configuration by introducing EnableJdbcRepository

  • Integration with MyBatis

Code of Conduct

This project is governed by the Spring Code of Conduct. By participating, you are expected to uphold this code of conduct. Please report unacceptable behavior to [email protected].

Getting Started

Here is a quick teaser of an application using Spring Data Repositories in Java:

public interface PersonRepository extends CrudRepository<Person, Long> {

  @Query("SELECT * FROM person WHERE lastname = :lastname")
  List<Person> findByLastname(String lastname);

  @Query("SELECT * FROM person WHERE firstname LIKE :firstname")
  List<Person> findByFirstnameLike(String firstname);
}

@Service
public class MyService {

  private final PersonRepository repository;

  public MyService(PersonRepository repository) {
    this.repository = repository;
  }

  public void doWork() {

    repository.deleteAll();

    Person person = new Person();
    person.setFirstname("Jens");
    person.setLastname("Schauder");
    repository.save(person);

    List<Person> lastNameResults = repository.findByLastname("Schauder");
    List<Person> firstNameResults = repository.findByFirstnameLike("Je%");
 }
}

@Configuration
@EnableJdbcRepositories
class ApplicationConfig extends AbstractJdbcConfiguration {

  @Bean
  public DataSource dataSource() {
    return …;
  }

  @Bean
  public NamedParameterJdbcTemplate namedParameterJdbcTemplate(DataSource dataSource) {
    return new NamedParameterJdbcTemplate(dataSource);
  }
}

Maven configuration

Add the Maven dependency:

<dependency>
  <groupId>org.springframework.data</groupId>
  <artifactId>spring-data-jdbc</artifactId>
  <version>${version}.RELEASE</version>
</dependency>

If you’d rather like the latest snapshots of the upcoming major version, use our Maven snapshot repository and declare the appropriate dependency version.

<dependency>
  <groupId>org.springframework.data</groupId>
  <artifactId>spring-data-jdbc</artifactId>
  <version>${version}.BUILD-SNAPSHOT</version>
</dependency>

<repository>
  <id>spring-libs-snapshot</id>
  <name>Spring Snapshot Repository</name>
  <url>https://repo.spring.io/snapshot</url>
</repository>

Getting Help

Having trouble with Spring Data? We’d love to help!

Reporting Issues

Spring Data uses GitHub as issue tracking system to record bugs and feature requests. If you want to raise an issue, please follow the recommendations below:

  • Before you log a bug, please search the Spring Data JDBCs issue tracker to see if someone has already reported the problem.

  • If the issue doesn’t already exist, create a new issue.

  • Please provide as much information as possible with the issue report, we like to know the version of Spring Data that you are using and JVM version. Please include full stack traces when applicable.

  • If you need to paste code, or include a stack trace use triple backticks before and after your text.

  • If possible try to create a test-case or project that replicates the issue. Attach a link to your code or a compressed file containing your code. Use an in-memory database when possible. If you need a different database include the setup using Testcontainers in your test.

Building from Source

You don’t need to build from source to use Spring Data (binaries in repo.spring.io), but if you want to try out the latest and greatest, Spring Data can be easily built with the maven wrapper. You also need JDK 1.8.

 $ ./mvnw clean install

If you want to build with the regular mvn command, you will need Maven v3.5.0 or above.

Also see CONTRIBUTING.adoc if you wish to submit pull requests, and in particular please sign the Contributor’s Agreement before your first non-trivial change.

Running Integration Tests

 $ ./mvnw clean install

Runs integration test against a single in memory database.

To run integration tests against all supported databases specify the Maven Profile all-dbs.

./mvnw clean install -Pall-dbs

This requires an appropriate container-license-acceptance.txt to be on the classpath, signaling that you accept the license of the databases used.

If you don’t want to accept these licences you may add the Maven Profile ignore-missing-license. This will ignore the tests that require an explicit license acceptance.

./mvnw clean install -Pall-dbs,ignore-missing-license

If you want to run an integration tests against a different database you can do so by activating an apropriate Spring Profile. Available are the following Spring Profiles:

db2, h2, hsql (default), mariadb, mssql, mysql, oracle, postgres

Building reference documentation

Building the documentation builds also the project without running tests.

 $ ./mvnw clean install -Pdistribute

The generated documentation is available from target/site/reference/html/index.html.

Modules

There are a number of modules in this project, here is a quick overview:

  • Spring Data Relational: Common infrastructure abstracting general aspects of relational database access.

  • Spring Data JDBC: Repository support for JDBC-based datasources.

Examples

License

Spring Data JDBC is Open Source software released under the Apache 2.0 license.

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