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    • 1. 发明申请
    • METHODS AND APPARATUS FOR MAINTAINING CONSISTENCY DURING ANALYSIS OF LARGE DATA SETS
    • 在大数据集分析中保持一致性的方法和装置
    • WO2006138044A2
    • 2006-12-28
    • PCT/US2006/020494
    • 2006-05-24
    • INTERLACE SYSTEMS, INC.GUPTA, AnuragRAMAIYER, KumarSHORE, MatthewXIAO, John
    • GUPTA, AnuragRAMAIYER, KumarSHORE, MatthewXIAO, John
    • G06F17/30
    • G06F17/30592Y10S707/99943Y10S707/99945Y10S707/99953
    • Methods and apparatus for updating a database using a multi-dimensional data model in which data corresponding to the database are organized in multi-dimensional data blocks. Each data block has summary information associated therewith corresponding to a current state of evolution of the associated data block. Dependency information is maintained in the data model which identifies data dependencies within and among the data blocks. A list of change entries identifies changes made to the data blocks and times at which the changes were made. A request to apply a change entry to a data block is received. The change entry is applied to the data block, including generating a dependency list of data blocks whose data depends directly or indirectly from the updated data block. The data blocks in the dependency list are processed in accordance with a dependency update algorithm to update the data blocks in the dependency list.
    • 使用多维数据模型更新数据库的方法和装置,其中与数据库相对应的数据被组织在多维数据块中。 每个数据块具有与其相关联的与其相关联的数据块的演进的当前状态相关联的摘要信息。 在数据模型中维护依赖关系信息,该模型识别数据块内和数据块之间的数据依赖性。 更改条目列表标识对数据块所做的更改以及进行更改的时间。 接收到将更改条目应用于数据块的请求。 更改条目被应用于数据块,包括生成其数据从其更新的数据块直接或间接地依赖于其的数据块的依赖性列表。 依赖关系列表中的数据块根据依赖更新算法进行处理,以更新依赖关系列表中的数据块。