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For the latest stable version, please use Spring Data Neo4j 7.4.1! |
Dependencies
Due to the 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 to rely on the Spring Data Release Train BOM that we ship with the compatible versions defined. In a Maven project, you would declare this dependency in the <dependencyManagement /> section of your POM as follows:
<dependencyManagement>
<dependencies>
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-bom</artifactId>
<version>2023.1.12</version>
<scope>import</scope>
<type>pom</type>
</dependency>
</dependencies>
</dependencyManagement>The current release train version is 2023.1.12. The train version uses calver with the pattern YYYY.MINOR.MICRO.
The version name follows ${calver} for GA releases and service releases and the following pattern for all other versions: ${calver}-${modifier}, where modifier can be one of the following:
-
SNAPSHOT: Current snapshots -
M1,M2, and so on: Milestones -
RC1,RC2, and so on: Release candidates
You can find a working example of using the BOMs in our Spring Data examples repository. With that in place, you can declare the Spring Data modules you would like to use without a version in the <dependencies /> block, as follows:
<dependencies>
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-jpa</artifactId>
</dependency>
<dependencies>Dependency Management with Spring Boot
Spring Boot selects a recent version of the Spring Data modules for you. If you still want to upgrade to a newer version,
set the spring-data-bom.version property to the train version and iteration
you would like to use.
See Spring Boot’s documentation (search for "Spring Data Bom") for more details.
