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    • 1. 发明授权
    • MapReduce for distributed database processing
    • MapReduce用于分布式数据库处理
    • US08190610B2
    • 2012-05-29
    • US11539090
    • 2006-10-05
    • Ali DasdanHung-Chih YangRuey-Lung Hsiao
    • Ali DasdanHung-Chih YangRuey-Lung Hsiao
    • G06F17/30
    • G06F17/30584Y10S707/968
    • An input data set is treated as a plurality of grouped sets of key/value pairs, which enhances the utility of the MapReduce programming methodology. By utilizing such a grouping, map processing can be carried out independently on two or more related but possibly heterogeneous datasets (e.g., related by being characterized by a common primary key). The intermediate results of the map processing (key/value pairs) for a particular key can be processed together in a single reduce function by applying a different iterator to intermediate values for each group. Different iterators can be arranged inside reduce functions in ways however desired.
    • 输入数据集被视为多个分组的键/值对集合,这增强了MapReduce编程方法的实用性。 通过利用这样的分组,可以在两个或更多个相关但可能异质的数据集上独立地执行地图处理(例如,通过由公共主键表征)相关联。 通过将不同的迭代器应用于每个组的中间值,可以在单个减少函数中一起处理特定密钥的映射处理(密钥/值对)的中间结果。 减少功能内的不同迭代器可以以所需的方式排列。
    • 2. 发明申请
    • MAP-REDUCE WITH MERGE TO PROCESS MULTIPLE RELATIONAL DATASETS
    • MAP-REDUCE与MERGE处理多个关系数据
    • US20080120314A1
    • 2008-05-22
    • US11560523
    • 2006-11-16
    • Hung-Chih YangAli DasdanRuey-Lung Hsiao
    • Hung-Chih YangAli DasdanRuey-Lung Hsiao
    • G06F7/00
    • G06F17/30498Y10S707/99942Y10S707/99943Y10S707/99945
    • A method of processing relationships of at least two datasets is provided. For each of the datasets, a map-reduce subsystem is provided such that the data of that dataset is mapped to corresponding intermediate data for that dataset. The intermediate data for that dataset is reduced to a set of reduced intermediate data for that dataset. Data corresponding to the sets of reduced intermediate data are merged, in accordance with a merge condition. In some examples, data being merged may include the output of one or more other mergers. That is, generally, merge functions may be flexibly placed among various map-reduce subsystems and, as such, the basic map-reduce architecture may be advantageously modified to process multiple relational datasets using, for example, clusters of computing devices.
    • 提供了一种处理至少两个数据集的关系的方法。 对于每个数据集,提供了一个map-reduce子系统,以便将该数据集的数据映射到该数据集的相应中间数据。 该数据集的中间数据被减少为该数据集的一组减少的中间数据。 根据合并条件合并与缩减的中间数据集相对应的数据。 在一些示例中,合并的数据可以包括一个或多个其他合并的输出。 也就是说,通常,合并功能可以灵活地放置在各种map-reduce子系统之间,并且因此,可以有利地修改基本的map-reduce架构以使用例如计算设备的集群来处理多个关系数据集。
    • 4. 发明授权
    • Map-reduce with merge to process multiple relational datasets
    • 通过合并映射减少来处理多个关系数据集
    • US07523123B2
    • 2009-04-21
    • US11560523
    • 2006-11-16
    • Hung-Chih YangAli DasdanRuey-Lung Hsiao
    • Hung-Chih YangAli DasdanRuey-Lung Hsiao
    • G06F17/00
    • G06F17/30498Y10S707/99942Y10S707/99943Y10S707/99945
    • A method of processing relationships of at least two datasets is provided. For each of the datasets, a map-reduce subsystem is provided such that the data of that dataset is mapped to corresponding intermediate data for that dataset. The intermediate data for that dataset is reduced to a set of reduced intermediate data for that dataset. Data corresponding to the sets of reduced intermediate data are merged, in accordance with a merge condition. In some examples, data being merged may include the output of one or more other mergers. That is, generally, merge functions may be flexibly placed among various map-reduce subsystems and, as such, the basic map-reduce architecture may be advantageously modified to process multiple relational datasets using, for example, clusters of computing devices.
    • 提供了一种处理至少两个数据集的关系的方法。 对于每个数据集,提供了一个map-reduce子系统,以便将该数据集的数据映射到该数据集的相应中间数据。 该数据集的中间数据被减少为该数据集的一组减少的中间数据。 根据合并条件合并与缩减的中间数据集相对应的数据。 在一些示例中,合并的数据可以包括一个或多个其他合并的输出。 也就是说,通常,合并功能可以灵活地放置在各种map-reduce子系统之间,并且因此,可以有利地修改基本的map-reduce架构以使用例如计算设备的集群来处理多个关系数据集。