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    • 2. 发明授权
    • Custom grouping for dimension members
    • 维度成员的自定义分组
    • US07562086B2
    • 2009-07-14
    • US11167413
    • 2005-06-27
    • Akshai M. MirchandaniAlexander BergerThomas P. ConlonEdward Melomed
    • Akshai M. MirchandaniAlexander BergerThomas P. ConlonEdward Melomed
    • G06F7/00
    • G06F17/30592Y10S707/99942
    • Custom grouping for dimension members of an On-Line Analytical Processing (OLAP) cube is facilitated by an interface component that receives a grouping from a user. A modification component alters an attribute of a session OLAP data cube or a virtual OLAP multi-dimensional data cube so that the change becomes readily available without the time-consuming delay associated with rebuilding or reprocessing the underlying structure. A data scheme generation component produces a data definition language (DDL) definition of a user defined attribute executed by an execution component to affect the change to a data cube. Custom groupings can provide an intermediate dimension level for drill down and/or drill up or roll-up between a level with few members and a level with numerous members. A separate dimensional attribute or level can be created and a group defined comprising or mapping a set or collection of discrete members.
    • 由在线分析处理(OLAP)多维数据集的维度成员进行自定义分组,该接口组件从用户接收分组。 修改组件更改会话OLAP数据立方体或虚拟OLAP多维数据立方体的属性,以便更改变得容易获得,而不需要与重建或重新处理底层结构相关的耗时的延迟。 数据方案生成组件产生由执行组件执行的用户定义属性的数据定义语言(DDL)定义,以影响对数据立方体的更改。 自定义分组可以提供中间维度级别,用于在具有少量成员的级别和具有众多成员的级别之间进行深入和/或钻取或汇总。 可以创建单独的维度属性或级别,并且定义的组包括或映射离散成员的集合或集合。
    • 4. 发明授权
    • Multidimensional data space queries with expression evaluation
    • 具有表达式求值的多维数据空间查询
    • US08229923B2
    • 2012-07-24
    • US12239695
    • 2008-09-26
    • Akshai M. MirchandaniMarius DumitruMosha PasumanskyIrina G. Gorbach
    • Akshai M. MirchandaniMarius DumitruMosha PasumanskyIrina G. Gorbach
    • G06F7/00G06F17/30
    • G06F17/30592Y10S707/957
    • A system and techniques for executing queries of a sparse multidimensional data space in the presence of expressions. A dimension is associated with a set of data references, which reference stored data items. A query expression has dimension or a data reference as an operand. A result space with one or more result dimensions is defined based on the query. A plan is built and executed for retrieving the stored data items associated with the result dimensions, and forming “calculated data items” by evaluating the expression. Executing the plan produces a stream of data tuples, each having a set of data components storing the retrieved data items and/or the calculated data items. Data components are either empty or have data values. An iterative algorithm is employed on the stream to locate the data tuples that are empty at the intersection of each result dimension.
    • 用于在存在表达式的情况下执行稀疏多维数据空间的查询的系统和技术。 维度与一组数据引用相关联,引用存储的数据项。 查询表达式具有维或数据引用作为操作数。 基于查询定义具有一个或多个结果维度的结果空间。 构建并执行用于检索与结果维度相关联的存储数据项的计划,并通过评估表达式形成“计算的数据项”。 执行该计划产生一组数据元组,每个数据流都具有存储检索到的数据项和/或计算的数据项的一组数据组件。 数据组件为空或具有数据值。 在流上采用迭代算法来定位在每个结果维度的交集处为空的数据元组。
    • 6. 发明申请
    • MULTIDIMENSIONAL DATA SPACE QUERIES WITH EXPRESSION EVALUATION
    • 具有表达式评估的多维数据空间查询
    • US20100082577A1
    • 2010-04-01
    • US12239695
    • 2008-09-26
    • Akshai M. MirchandaniMarius DumitruMosha PasumanskyIrina G. Gorbach
    • Akshai M. MirchandaniMarius DumitruMosha PasumanskyIrina G. Gorbach
    • G06F7/06G06F17/30
    • G06F17/30592Y10S707/957
    • A system and techniques for executing queries of a sparse multidimensional data space in the presence of expressions. A dimension is associated with a set of data references, which reference stored data items. A query expression has dimension or a data reference as an operand. A result space with one or more result dimensions is defined based on the query. A plan is built and executed for retrieving the stored data items associated with the result dimensions, and forming “calculated data items” by evaluating the expression. Executing the plan produces a stream of data tuples, each having a set of data components storing the retrieved data items and/or the calculated data items. Data components are either empty or have data values. An iterative algorithm is employed on the stream to locate the data tuples that are empty at the intersection of each result dimension.
    • 用于在存在表达式的情况下执行稀疏多维数据空间的查询的系统和技术。 维度与一组数据引用相关联,引用存储的数据项。 查询表达式具有维或数据引用作为操作数。 基于查询定义具有一个或多个结果维度的结果空间。 构建并执行用于检索与结果维度相关联的存储数据项的计划,并通过评估表达式形成“计算的数据项”。 执行该计划产生一组数据元组,每个数据流都具有存储检索到的数据项和/或计算的数据项的一组数据组件。 数据组件为空或具有数据值。 在流上采用迭代算法来定位在每个结果维度的交集处为空的数据元组。