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    System and method for shared execution of mixed data flows
    1.
    发明授权
    System and method for shared execution of mixed data flows 有权

    公开(公告)号：US08984515B2

    公开(公告)日：2015-03-17

    申请号：US13484959

    申请日：2012-05-31

    Applicant: Rajeev Gupta ,  Padmashree Ravindra ,  Prasan Roy

    Inventor： Rajeev Gupta ,  Padmashree Ravindra ,  Prasan Roy

    IPC: G06F9/46 ,  G06F7/00 ,  G06F9/50

    CPC classification number: G06F9/50 ,  G06F9/5066

    Abstract: A method, computer program product, and computer system for shared execution of mixed data flows, performed by one or more computing devices, comprises identifying one or more resource sharing opportunities across a plurality of parallel tasks. The plurality of parallel tasks includes zero or more relational operations and at least one non-relational operation. The plurality of parallel tasks relative to the relational operations and the at least one non-relational operation are executed. In response to executing the plurality of parallel tasks, one or more resources of the identified resource sharing opportunities is shared across the relational operations and the at least one non-relational operation.

    SYSTEM AND METHOD FOR SHARED EXECUTION OF MIXED DATA FLOWS
    2.
    发明申请
    SYSTEM AND METHOD FOR SHARED EXECUTION OF MIXED DATA FLOWS 有权
    混合数据流的共同执行的系统和方法

    公开(公告)号：US20130326538A1

    公开(公告)日：2013-12-05

    申请号：US13484959

    申请日：2012-05-31

    Applicant: RAJEEV GUPTA ,  Padmashree Ravindra ,  Prasan Roy

    Inventor： RAJEEV GUPTA ,  Padmashree Ravindra ,  Prasan Roy

    IPC: G06F9/46

    CPC classification number: G06F9/50 ,  G06F9/5066

    Abstract: A method, computer program product, and computer system for shared execution of mixed data flows, performed by one or more computing devices, comprises identifying one or more resource sharing opportunities across a plurality of parallel tasks. The plurality of parallel tasks includes zero or more relational operations and at least one non-relational operation. The plurality of parallel tasks relative to the relational operations and the at least one non-relational operation are executed. In response to executing the plurality of parallel tasks, one or more resources of the identified resource sharing opportunities is shared across the relational operations and the at least one non-relational operation.

    Abstract translation: 一种由一个或多个计算设备执行的用于共享执行混合数据流的方法，计算机程序产品和计算机系统包括：识别跨多个并行任务的一个或多个资源共享机会。 多个并行任务包括零个或多个关系操作和至少一个非关系操作。 执行相对于关系操作和至少一个非关系操作的多个并行任务。 响应于执行多个并行任务，所识别的资源共享机会中的一个或多个资源跨越关系操作和至少一个非关系操作共享。

    Processing hierarchical data in a map-reduce framework
    4.
    发明授权
    Processing hierarchical data in a map-reduce framework 有权
    在map-reduce框架中处理分层数据

    公开(公告)号：US08959519B2

    公开(公告)日：2015-02-17

    申请号：US13598280

    申请日：2012-08-29

    Applicant: Manoj K. Agarwal ,  Himanshu Gupta ,  Rajeev Gupta ,  Sriram K. Padmanabhan ,  Prasan Roy

    Inventor： Manoj K. Agarwal ,  Himanshu Gupta ,  Rajeev Gupta ,  Sriram K. Padmanabhan ,  Prasan Roy

    IPC: G06F9/46

    CPC classification number: G06F9/46 ,  G06F9/5066

    Abstract: Methods and arrangements for processing hierarchical data in a map-reduce framework. Hierarchical data is accepted, and a map-reduce job is performed on the hierarchical data. This performing of a map-reduce job includes determining a cost of partitioning the data, determining a cost of redefining the job and thereupon selectively performing at least one step taken from the group consisting of: partitioning the data and redefining the job.

    Abstract translation: 在map-reduce框架中处理分层数据的方法和布置。 层次数据被接受，并且对分层数据执行映射减少作业。 这种执行地图缩减工作包括确定分割数据的成本，确定重新定义作业的成本，并随后选择性地执行从由以下组成的组中的至少一个步骤：划分数据并重新定义作业。

    PROCESSING HIERARCHICAL DATA IN A MAP-REDUCE FRAMEWORK
    7.
    发明申请
    PROCESSING HIERARCHICAL DATA IN A MAP-REDUCE FRAMEWORK 有权
    在MAP-REDUCF框架中处理分层数据

    公开(公告)号：US20120324459A1

    公开(公告)日：2012-12-20

    申请号：US13598280

    申请日：2012-08-29

    Applicant: Manoj K. Agarwal ,  Himanshu Gupta ,  Rajeev Gupta ,  Sriram K. Padmanabhan ,  Prasan Roy

    Inventor： Manoj K. Agarwal ,  Himanshu Gupta ,  Rajeev Gupta ,  Sriram K. Padmanabhan ,  Prasan Roy

    IPC: G06F9/46

    CPC classification number: G06F9/46 ,  G06F9/5066

    Abstract: Methods and arrangements for processing hierarchical data in a map-reduce framework. Hierarchical data is accepted, and a map-reduce job is performed on the hierarchical data. This performing of a map-reduce job includes determining a cost of partitioning the data, determining a cost of redefining the job and thereupon selectively performing at least one step taken from the group consisting of: partitioning the data and redefining the job.

    Abstract translation: 在map-reduce框架中处理分层数据的方法和布置。 层次数据被接受，并且对分层数据执行映射减少作业。 这种执行地图缩减工作包括确定分割数据的成本，确定重新定义作业的成本，并随后选择性地执行从由以下组成的组中的至少一个步骤：划分数据并重新定义作业。

    SYSTEMS AND METHODS FOR PROCESSING HIERARCHICAL DATA IN A MAP-REDUCE FRAMEWORK
    8.
    发明申请
    SYSTEMS AND METHODS FOR PROCESSING HIERARCHICAL DATA IN A MAP-REDUCE FRAMEWORK 有权
    在MAP-REDUCF框架中处理分层数据的系统和方法

    公开(公告)号：US20120311589A1

    公开(公告)日：2012-12-06

    申请号：US13118628

    申请日：2011-05-31

    Applicant: Manoj K. Agarwal ,  Himanshu Gupta ,  Rajeev Gupta ,  Sriram K. Padmanabhan ,  Prasan Roy

    Inventor： Manoj K. Agarwal ,  Himanshu Gupta ,  Rajeev Gupta ,  Sriram K. Padmanabhan ,  Prasan Roy

    IPC: G06F9/46

    CPC classification number: G06F9/46 ,  G06F9/5066

    Abstract: Methods and arrangements for processing hierarchical data in a map-reduce framework. Hierarchical data is accepted, and a map-reduce job is performed on the hierarchical data. This performing of a map-reduce job includes determining a cost of partitioning the data, determining a cost of redefining the job and thereupon selectively performing at least one step taken from the group consisting of: partitioning the data and redefining the job.

    Abstract translation: 在map-reduce框架中处理分层数据的方法和布置。 层次数据被接受，并且对分层数据执行映射减少作业。 这种执行地图缩减工作包括确定分割数据的成本，确定重新定义作业的成本，并随后选择性地执行从由以下组成的组中的至少一个步骤：划分数据并重新定义作业。

    Matching transactions in multi-level records
    9.
    发明授权
    Matching transactions in multi-level records 失效
    在多级记录中匹配交易

    公开(公告)号：US08788471B2

    公开(公告)日：2014-07-22

    申请号：US13483778

    申请日：2012-05-30

    Applicant: Manoj K. Agarwal ,  Curt L. Cotner ,  Amitava Kundu ,  Prasan Roy ,  Rajesh Sambandhan

    Inventor： Manoj K. Agarwal ,  Curt L. Cotner ,  Amitava Kundu ,  Prasan Roy ,  Rajesh Sambandhan

    IPC: G06F17/30

    CPC classification number: G06F17/30371 ,  G06F17/30008 ,  G06F17/303

    Abstract: A method for identifying matching transactions between two log files where each transaction includes one or more statements. Each log file record records the execution of a statement and includes a transaction identifier. Each record in turn in one log file is compared to an advancing window of records in the other log file. A first table contains associations of statements to transactions and transactions to statements for records in the window. If a match is found between a record in the one file and a record in the window, information associating partial transactions in the one file to potential transactions of the records in the window is added to a second table. If an end-of-transaction record is read from the one file, a best match is found between the ended transaction and the potential transactions based on information in the first and second tables.

    Abstract translation: 一种用于识别两个日志文件之间的匹配事务的方法，其中每个事务包括一个或多个语句。 每个日志文件记录记录语句的执行并包括事务标识符。 将一个日志文件中的每个记录依次与其他日志文件中的前进记录窗口进行比较。 第一个表包含与事务和事务的语句关联到窗口中的记录的语句。 如果在一个文件中的记录和窗口中的记录之间找到匹配，则将一个文件中的部分事务与窗口中的记录的潜在事务关联的信息被添加到第二个表。 如果从一个文件读取结束交易记录，则基于第一和第二表中的信息，在结束的交易和潜在交易之间找到最佳匹配。

    Automatically linking documents with relevant structured information
    10.
    发明授权
    Automatically linking documents with relevant structured information 有权
    自动将文档与相关结构化信息链接起来

    公开(公告)号：US07899822B2

    公开(公告)日：2011-03-01

    申请号：US11530104

    申请日：2006-09-08

    Applicant: Venkat Chakravarthy ,  Himanshu Gupta ,  Mukesh K. Mohania ,  Prasan Roy

    Inventor： Venkat Chakravarthy ,  Himanshu Gupta ,  Mukesh K. Mohania ,  Prasan Roy

    IPC: G06F17/30 ,  G06F7/00

    CPC classification number: G06F17/30722 ,  G06F17/30525 ,  G06F17/30997

    Abstract: A method of associating a given text document with relevant structured data is disclosed. The method receives as inputs a text document, and structured data in the form of a relational database. The method then identifies terms in the text document, and searches and queries the structured data using the terms to identify fragments of the structured data that are relevant to the document. Finally, the text document and the identified fragments of structured data are output to a user.

    Abstract translation: 公开了将给定文本文档与相关结构化数据相关联的方法。 该方法接收文本文档作为输入，并以关系数据库的形式接收结构化数据。 然后，该方法识别文本文档中的术语，并使用术语来搜索和查询结构化数据，以识别与文档相关的结构化数据的片段。 最后，将文本文档和所识别的结构化数据的片段输出给用户。

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