Multidimensional data cubes with high-cardinality attributes
    1.
    发明授权
    Multidimensional data cubes with high-cardinality attributes 有权
    具有高基数属性的多维数据立方体

    公开(公告)号:US08380748B2

    公开(公告)日:2013-02-19

    申请号:US12042674

    申请日:2008-03-05

    IPC分类号: G06F7/00 G06F17/30

    CPC分类号: G06F17/30592

    摘要: Computer-readable media, systems, and methods for building a multidimensional data cube having one or more high-cardinality attributes are described. In embodiments, data is extracted from one or more databases. It is determined that one or more instances of the data are fact data and one or more instances of the data are dimension data. Each member of the fact data is one instance of a dimension and each instance of the dimension data includes an attribute for grouping the fact data. Moreover, in embodiments it is determined that one or more instances of the dimension data are high-cardinality attributes. The one or more high-cardinality attributes are processed with fact data and stored in fact tables on a computer storage medium.

    摘要翻译: 描述了用于构建具有一个或多个高基数属性的多维数据立方体的计算机可读介质,系统和方法。 在实施例中,从一个或多个数据库提取数据。 确定数据的一个或多个实例是事实数据,并且数据的一个或多个实例是尺寸数据。 事实数据的每个成员是维度的一个实例,维数据的每个实例包括用于对事实数据进行分组的属性。 此外,在实施例中,确定尺寸数据的一个或多个实例是高基数属性。 一个或多个高基数属性用事实数据处理并存储在计算机存储介质上的事实表中。

    Direct write back systems and methodologies
    6.
    发明授权
    Direct write back systems and methodologies 有权
    直接回写系统和方法

    公开(公告)号:US07873669B2

    公开(公告)日:2011-01-18

    申请号:US11137232

    申请日:2005-05-25

    IPC分类号: G06F7/00 G06F17/30

    CPC分类号: G06F17/30592

    摘要: Provided are systems and methods that facilitate direct write back in a multi-dimensional database. The system includes a delta cache component that receives a user request to change an original cell value and determines a delta value based at least in part upon the changed cell value. Also included is a write back partition component that selectively updates a data cell based at least in part upon the delta value without updating corresponding data cell values. The system and methods allow attributes to be added to any dimension of a cube without affecting the write back data. Adding, modifying or removing a hierarchy has no affect on write back data nor does deleting a dimension that is not referenced by a write back.

    摘要翻译: 提供了便于在多维数据库中直接回写的系统和方法。 该系统包括增量缓存组件,其接收用户请求以改变原始小区值,并且至少部分地基于所改变的小区值来确定增量值。 还包括写回分区组件,其至少部分地基于增量值来选择性地更新数据单元,而不更新对应的数据单元值。 系统和方法允许将属性添加到多维数据集的任何维度,而不会影响回写数据。 添加,修改或删除层次结构对回写数据没有影响,也不会删除未被回写引用的维。

    Relational reporting system and methodology
    8.
    发明申请
    Relational reporting system and methodology 审中-公开
    关系报告制度和方法论

    公开(公告)号:US20060010156A1

    公开(公告)日:2006-01-12

    申请号:US11069314

    申请日:2005-03-01

    IPC分类号: G06F17/00

    CPC分类号: G06F16/24556 G06F16/283

    摘要: A system that facilitates generating a report based upon data within a relational database comprises a mapping component that utilizes mapping functions to associate a multi-dimensional structure with the relational database. A report generator communicates with the multi-dimensional structure to obtain data relating to the relational database and generates a report that includes the obtained data. For example, the mapping component can utilize measure groups to effectuate the association between the multi-dimensional structure and the relational database.

    摘要翻译: 基于关系数据库内的数据来生成报告的系统包括利用映射函数将多维结构与关系数据库相关联的映射组件。 报告生成器与多维结构通信以获得与关系数据库相关的数据,并生成包括所获得的数据的报告。 例如,映射组件可以利用测量组来实现多维结构和关系数据库之间的关联。

    Adaptive database caching and data retrieval mechanism
    9.
    发明授权
    Adaptive database caching and data retrieval mechanism 有权
    自适应数据库缓存和数据检索机制

    公开(公告)号:US06493718B1

    公开(公告)日:2002-12-10

    申请号:US09419437

    申请日:1999-10-15

    IPC分类号: G06F1730

    摘要: Systems, clients, servers, methods, and computer-readable media of varying scope are described in which, a data retrieval module of database client implements an aggressive caching scheme that seeks to predict what data cells will be needed to satisfy future queries. The data retrieval module applies an adaptive algorithm to dynamically determine the granularity of data to retrieve from a database server. The data retrieval module adaptively balances the benefit of satisfying future queries locally with the cost of retrieving larger data set from remote database server.

    摘要翻译: 描述了不同范围的系统,客户端,服务器,方法和计算机可读介质,其中数据库客户端的数据检索模块实现了一种积极的缓存方案,其寻求预测将需要哪些数据单元来满足将来的查询。 数据检索模块应用自适应算法来动态地确定从数据库服务器检索的数据的粒度。 数据检索模块自适应地平衡本地满足未来查询的好处与从远程数据库服务器检索较大数据集的成本。