首页> 外国专利> DEEP FILTER PROPAGATION USING EXPLICIT DEPENDENCY AND EQUIVALENCY DECLARATIONS IN A DATA MODEL

DEEP FILTER PROPAGATION USING EXPLICIT DEPENDENCY AND EQUIVALENCY DECLARATIONS IN A DATA MODEL

机译:在数据模型中使用显式依赖和等价声明进行深层过滤传播

摘要

The disclosure generally describes methods, software, and systems, including a method for defining and using dependencies and equivalences for data elements in the data model in order to improve query efficiency. At design time of a data model, dependencies and equivalences for data elements in the data model are received over a computer network. The dependencies and equivalences are stored in persistent storage with the data model. A request is received over the computer network, the request to be executed to obtain results from a database associated with the data model. An optimized query is generated using the received request and the dependencies and equivalences. The optimized query is optimized relative to the received request.
机译:本公开总体上描述了方法,软件和系统,包括用于定义和使用对数据模型中的数据元素的依赖性和等效性以提高查询效率的方法。在数据模型的设计时,通过计算机网络接收数据模型中数据元素的依存关系和等效项。依赖项和等效项与数据模型一起存储在持久性存储中。通过计算机网络接收请求,该请求将被执行以从与数据模型相关联的数据库中获得结果。使用接收到的请求以及相关性和等效性生成优化查询。相对于所接收的请求来优化查询。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号