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Methods and apparatus for maintaining consistency during analysis of large data sets

机译:在大数据集分析期间保持一致性的方法和设备

摘要

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.
机译:用于使用多维数据模型更新数据库的方法和设备,其中,与数据库相对应的数据被组织在多维数据块中。每个数据块具有与之关联的摘要信息,该摘要信息与关联的数据块的当前演进状态相对应。依赖性信息在数据模型中维护,该信息标识数据块之内和之中的数据依赖性。更改条目列表标识了对数据块进行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。更改条目应用于数据块,包括生成数据块的依赖项列表,其数据直接或间接依赖于更新后的数据块。依存关系列表中的数据块根据依存关系更新算法进行处理,以更新依存关系列表中的数据块。

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