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Distributed hash group-by cooperative processing

机译:分布式哈希分组协作处理

摘要

A kind of system of parallel and collaborative process data is provided, wherein mediators handle and one or more agent processes and data processing function, which partially leaves loading. The agent process reads and handles data and added up partial results. Each broker program is handled in response to the content of the data of statistical collection, the process of the processing coordinator of returning part result. These steps are iteratively repeated, are completed until processing has. In specific applications, the performance of data processing system is improved, by accelerating database group-by inquiries. Host Central Processing Unit (CPU) (CPU) and input/(I/O) processor (IOPs) are distributed between the group-by operation processings. Substantially, IOPs group-by requests are sent to the selection inquiry for executing one group of disk block (range) and predicate tuple. The entry that the IOPs establishes Hash table has group-by elements and operation and aggregation capability (for example). The IOPs search domains extract record, and selection record is specified using the predicate, into the element in Hash table, if it has existed, and executes corresponding set function.
机译:提供了一种并行和协作过程数据的系统,其中,调解员处理和一个或多个代理过程和数据处理功能,从而部分地减轻了负载。代理进程读取和处理数据并添加部分结果。响应于统计收集数据的内容,返回零件结果的处理协调器的过程来处理每个代理程序。重复这些步骤,直到完成处理为止。在特定的应用程序中,通过加速数据库按组查询,可以提高数据处理系统的性能。主机中央处理器(CPU)(CPU)和输入/(I / O)处理器(IOP)在按组操作处理之间分布。实质上,将IOP分组请求发送到选择查询,以执行一组磁盘块(范围)和谓词元组。 IOP建立哈希表的条目具有分组元素以及操作和聚合功能(例如)。 IOP搜索域提取记录,并使用谓词将选择记录指定到哈希表中的元素(如果已存在)中,并执行相应的set函数。

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