Spring Data for Apache Cassandra 2.2.6

The Apache Cassandra NoSQL Database offers many new capabilities for teams seeking a solution to handle high velocity, high volume and variable data flows. This new way of thinking introduces new concepts and a learning curve that can be intimidating to team members and team managers. Spring Data for Apache Cassandra offers a familiar interface to those who have used other Spring Data modules in the past.

The learning curve for developing applications with Apache Cassandra is significantly reduced when using Spring Data for Apache Cassandra. With the power to stay at a high level with annotated POJOs, or at a low level with high performance data ingestion capabilities, the Spring Data for Apache Cassandra templates are sure to meet every application need.
Features

Build repositories based on common Spring Data interfaces

Support for synchronous, reactive, and asynchronous data operations

Support for XML based Keyspace creation and CQL Table creation

JavaConfig and XML Support for all Cluster and Session Capabilities

Exception Translation to the familiar Spring DataAccessException hierarchy

Convenient QueryBuilders to eliminate the need to learn CQL

Automatic implementation of Repository interfaces including support for custom query methods

2.x versions are based on the 3.x DataStax CQL Java Driver, 3.x versions use DataStax Java Driver 4.x

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翻译:

Apache Cassandra NoSQL数据库为寻求处理高速、大容量和可变数据流的解决方案的团队提供了许多新功能。这种新的思维方式引入了新的概念和学习曲线,这可能会对团队成员和团队经理造成威胁。Apache Cassandra的Spring数据为过去使用过其他Spring数据模块的用户提供了一个熟悉的接口。
使用Apache Cassandra的Spring数据时,使用apachecassandra开发应用程序的学习曲线大大缩短。有了使用带注释的pojo保持高级别的能力,或者使用高性能数据接收功能保持低级别的能力,Apache Cassandra模板的Spring数据一定能满足每个应用程序的需要。
特征
基于通用Spring数据接口构建存储库
支持同步、响应和异步数据操作
支持基于XML的键空间创建和CQL表创建
JavaConfig和XML支持所有集群和会话功能
异常转换到熟悉的Spring DataAccessException层次结构
方便的querybuilder消除了学习CQL的需要
存储库接口的自动实现,包括对自定义查询方法的支持
2.x版本基于3.x DataStax CQL Java驱动程序,3.x版本使用DataStax Java驱动程序4.x
弹簧初始化器
快速启动项目
使用Spring初始化器引导应用程序。

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转载自blog.csdn.net/blog_programb/article/details/105242548