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    Integration of a non-relational query language with a relational data store
    1.
    发明授权
    Integration of a non-relational query language with a relational data store 失效
    将非关系查询语言与关系数据存储集成

    公开(公告)号：US07567968B2

    公开(公告)日：2009-07-28

    申请号：US11046693

    申请日：2005-01-31

    Applicant: Arpan A Desai ,  Daniel Dedu-Constantin ,  Ion Vasilian ,  Todd F Pfleiger

    Inventor： Arpan A Desai ,  Daniel Dedu-Constantin ,  Ion Vasilian ,  Todd F Pfleiger

    IPC: G06F17/30

    CPC classification number: G06F17/30427 ,  G06F17/30415 ,  G06F17/30917 ,  Y10S707/99945

    Abstract: A system and/or methodology that employs a non-relational (e.g., XML (extensible markup language)) query language to access stored procedures employed in connection with relational (e.g., SQL (structured query language)) database management systems is provided. Stored procedures in SQL enable the predetermination of queries that can be executed against the relational database. The invention bridges the gap between non-relational query languages and relational data stores. In other words, the invention enables the integration of non-relational query languages with relational data stores. The invention can define a view of the relational data in the current data model, convert data from relational to non-relational format and provide a mechanism in which a stored procedure can be referenced from the non-relational query language, using, for example, a function.

    Abstract translation: 提供了采用非关系（例如，XML（可扩展标记语言））查询语言来访问与关系（例如，SQL（结构化查询语言））数据库管理系统结合使用的存储过程的系统和/或方法。 SQL中的存储过程使得可以对关系数据库执行的查询进行预先确定。 本发明弥合了非关系查询语言和关系数据存储之间的差距。 换句话说，本发明使非关系查询语言与关系数据存储集成。 本发明可以定义当前数据模型中关系数据的视图，将数据从关系转换为非关系格式，并提供一种可以使用例如非关系查询语言从非关系查询语言引用存储过程的机制， 一个功能。

    System and method facilitating unified framework for structured/unstructured data
    6.
    发明授权
    System and method facilitating unified framework for structured/unstructured data 有权
    有助于结构化/非结构化数据统一框架的系统和方法

    公开(公告)号：US07895173B1

    公开(公告)日：2011-02-22

    申请号：US11190678

    申请日：2005-07-27

    Applicant: Daniel Dedu-Constantin ,  Omri Gazitt ,  Michael J. Pizzo

    Inventor： Daniel Dedu-Constantin ,  Omri Gazitt ,  Michael J. Pizzo

    IPC: G06F7/00 ,  G06F17/00 ,  G06F17/30

    CPC classification number: G06F17/30917

    Abstract: A system and method facilitating a unified framework for accessing structured and unstructured data is provided. The invention includes a source document having data that is parsed into a data document component providing a hierarchical representation of data associated with the source document and a data set component providing a relational representation of at least a portion of the data associated with the source document. The invention further provides for a schema defining a structure of the relational representation to be associated with the source document and/or inferred by the data set component. Data stored in the data document component and the data set component are synchronized, thus a change made to data stored in the data set component is reflected in data stored in the data document component. Further, a change made to data stored in the data document component is reflected in data stored in the data set component if utilized according to the schema. The invention further provides for a service to access the hierarchical representation of data associated with the source document and/or a designer to access the relational representation of data associated with the source document.

    Abstract translation: 提供了一种便于统一框架访问结构化和非结构化数据的系统和方法。 本发明包括具有被解析成数据文档组件的数据的源文档，该数据文档组件提供与源文档相关联的数据的分层表示，以及提供与源文档相关联的数据的至少一部分的关系表示的数据集组件。 本发明还提供了定义与源文档相关联和/或由数据集组件推断的关系表示的结构的模式。 存储在数据文档组件和数据集组件中的数据被同步，因此对存储在数据集组件中的数据所做的改变反映在数据文档组件中存储的数据中。 此外，如果根据模式使用，对存储在数据文档组件中的数据的变化反映在存储在数据集组件中的数据中。 本发明还提供一种服务，用于访问与源文档相关联的数据的分层表示和/或设计者以访问与源文档相关联的数据的关系表示。

    SCOPE: A STRUCTURED COMPUTATIONS OPTIMIZED FOR PARALLEL EXECUTION SCRIPT LANGUAGE
    7.
    发明申请
    SCOPE: A STRUCTURED COMPUTATIONS OPTIMIZED FOR PARALLEL EXECUTION SCRIPT LANGUAGE 审中-公开
    范围：平行执行脚本语言优化的结构化计算

    公开(公告)号：US20100175049A1

    公开(公告)日：2010-07-08

    申请号：US12349830

    申请日：2009-01-07

    Applicant: WILLIAM D. RAMSEY ,  RONNIE IRA CHAIKEN ,  DARREN A. SHAKIB ,  ROBERT JOHN JENKINS, JR. ,  SIMON J. WEAVER ,  JINGREN ZHOU ,  DANIEL DEDU-CONSTANTIN ,  ACHINT SRIVASTAVA

    Inventor： WILLIAM D. RAMSEY ,  RONNIE IRA CHAIKEN ,  DARREN A. SHAKIB ,  ROBERT JOHN JENKINS, JR. ,  SIMON J. WEAVER ,  JINGREN ZHOU ,  DANIEL DEDU-CONSTANTIN ,  ACHINT SRIVASTAVA

    IPC: G06F9/44 ,  G06F9/45 ,  G06F7/00

    CPC classification number: G06F9/45512

    Abstract: Embodiments of the present invention relate to systems, methods and computer storage media for providing Structured Computations Optimized for Parallel Execution (SCOPE) that facilitate analysis of a large-scale dataset utilizing row data of those data sets. SCOPE includes, among other features, an extract command for extracting data bytes from a data stream and structuring the data bytes as data rows having strictly defined columns. SCOPE also includes a process command and a reduce command that identify data rows as inputs. The reduce command also identifies a reduce key that facilitates the reduction based on the reduce key. SCOPE additionally includes a combine command that identifies two data row sets that are to be combined based on an identified joint condition. Additionally, SCOPE includes a select command that leverages SQL and C# languages to create an expressive script that is capable of analyzing large-scale data sets in a parallel computing environment.

    Abstract translation: 本发明的实施例涉及用于提供用于并行执行优化的结构化计算（SCOPE）的系统，方法和计算机存储介质，其利用这些数据集的行数据便于对大规模数据集进行分析。 SCOPE以及其他特征包括从数据流提取数据字节并且将数据字节构造为具有严格定义的列的数据行的提取命令。 SCOPE还包括一个进程命令和一个将数据行标识为输入的reduce命令。 reduce命令还标识一个减号键，该减号键有助于减少键的减少。 SCOPE另外包括组合命令，其基于识别的联合条件标识要组合的两个数据行集。 另外，SCOPE还包括一个select命令，利用SQL和C＃语言来创建一个能够在并行计算环境中分析大规模数据集的表达式脚本。

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