IT资讯 Spring Data 2022.0.1 & 2021.2.7 发布

tyrone · 2023-01-16 10:30:12 · 热度: 28

Spring Data 2022.0.1 和 2021.2.7 已发布，更新内容包括升级依赖项和修复错误。

Spring Data 2022.0.1

Spring Data Commons3.0.1-Artifacts-Javadoc-Documentation-Changelog
Spring Data JPA3.0.1-Artifacts-Javadoc-Documentation-Changelog
Spring Data for Apache Cassandra4.0.1-Artifacts-Javadoc-Documentation-Changelog
Spring Data Neo4j7.0.1-Artifacts-Javadoc-Documentation-Changelog
Spring Data MongoDB4.0.1-Artifacts-Javadoc-Documentation-Changelog
Spring Data KeyValue3.0.1-Artifacts-Javadoc-Documentation-Changelog
Spring Data LDAP3.0.1-Artifacts-Javadoc-Documentation-Changelog
Spring Data REST4.0.1-Artifacts-Javadoc-Documentation-Changelog
Spring Data Redis3.0.1-Artifacts-Javadoc-Documentation-Changelog
Spring Data Elasticsearch5.0.1-Artifacts-Javadoc-Documentation-Changelog
Spring Data Couchbase5.0.1-Artifacts-Javadoc-Documentation-Changelog
Spring Data Relational3.0.1-Artifacts-Javadoc-Documentation-Changelog

Spring Data 2021.2.7

Spring Data Commons2.7.7-Artifacts-Javadoc-Documentation-Changelog
Spring Data JDBC2.4.7-Artifacts-Javadoc-Documentation-Changelog
Spring Data JPA2.7.7-Artifacts-Javadoc-Documentation-Changelog
Spring Data KeyValue2.7.7-Artifacts-Javadoc-Documentation-Changelog
Spring Data Neo4j6.3.7-Artifacts-Javadoc-Documentation-Changelog
Spring Data MongoDB3.4.7-Artifacts-Javadoc-Documentation-Changelog
Spring Data for Apache Cassandra3.4.7-Artifacts-Javadoc-Documentation-Changelog
Spring Data R2DBC1.5.7-Artifacts-Javadoc-Documentation-Changelog
Spring Data for Apache Geode2.7.7-Artifacts-Javadoc-Documentation-Changelog
Spring Data LDAP2.7.7-Artifacts-Javadoc-Documentation-Changelog
Spring Data Envers2.7.7-Artifacts-Javadoc-Documentation-Changelog
Spring Data REST3.7.7-Artifacts-Javadoc-Documentation-Changelog
Spring Data Redis2.7.7-Artifacts-Javadoc-Documentation-Changelog
Spring Data Elasticsearch4.4.7-Artifacts-Javadoc-Documentation-Changelog
Spring Data Couchbase4.4.7-Artifacts-Javadoc-Documentation-Changelog

Spring Data 是一个用于简化数据库访问，并支持云服务的开源框架，旨在为数据访问提供一个熟悉的、一致的、基于 Spring 的编程模型，同时仍然保留底层数据存储的特殊特性 (traits)，使得数据访问技术、关系型和非关系型数据库、map-reduce 框架和基于云的数据服务的使用变得简单。

Spring Data 属于大型工程项目，包含许多针对特定数据库的子项目。

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