Evaluating XML full text search
    24.
    发明授权

    公开(公告)号:US11481439B2

    公开(公告)日:2022-10-25

    申请号:US17129085

    申请日:2020-12-21

    Abstract: Techniques are described to improve query evaluation in computer systems. In an embodiment, a system receives a full text query for evaluation against a collection of hierarchically marked data object sets. The query specifies token(s) and context(s) which indicate hierarchical location(s) to match within a queried hierarchical data structure. To evaluate the query, the system determines a) data object set(s) that contain the query specified token(s) using token list(s), and/or b) data object set(s) that contain the query specified context(s) using label list(s).

    PROGNOSTIC-SURVEILLANCE TECHNIQUE THAT DYNAMICALLY ADAPTS TO EVOLVING CHARACTERISTICS OF A MONITORED ASSET

    公开(公告)号:US20210158202A1

    公开(公告)日:2021-05-27

    申请号:US16691321

    申请日:2019-11-21

    Abstract: We describe a system that performs prognostic-surveillance operations based on an inferential model that dynamically adapts to evolving operational characteristics of a monitored asset. During a surveillance mode, the system receives a set of time-series signals gathered from sensors in the monitored asset. Next, the system uses an inferential model to generate estimated values for the set of time-series signals, and then performs a pairwise differencing operation between actual values and the estimated values for the set of time-series signals to produce residuals. Next, the system performs a sequential probability ratio test (SPRT) on the residuals to produce SPRT alarms. When a tripping frequency of the SPRT alarms exceeds a threshold value, which is indicative of an incipient anomaly in the monitored asset, the system triggers an alert. While the prognostic-surveillance system is operating in the surveillance mode, the system incrementally updates the inferential model based on the time-series signals.

    EFFICIENT IN-MEMORY DB QUERY PROCESSING OVER ANY SEMI-STRUCTURED DATA FORMATS
    29.
    发明申请
    EFFICIENT IN-MEMORY DB QUERY PROCESSING OVER ANY SEMI-STRUCTURED DATA FORMATS 审中-公开
    任何半结构化数据格式的高效内存数据库查询处理

    公开(公告)号:US20170060973A1

    公开(公告)日:2017-03-02

    申请号:US15162235

    申请日:2016-05-23

    Abstract: Techniques are described herein for maintaining two copies of the same semi-structured data, where each copy is organized in a different format. One copy is in a first-format that may be convenient for storage, but inefficient for query processing. For example, the first-format may be a textual format that needs to be parsed every time a query needs to access individual data items within a semi-structured object. The database system intelligently loads semi-structured first-format data into volatile memory and, while doing so, converts the semi-structured first-format data to a second-format. Because the data in volatile memory is in the second-format, processing queries against the second-format data both allows disk I/0 to be avoided, and increases the efficiency of the queries themselves. For example, the parsing that may be necessary to run a query against a cached copy of the first-format data is avoided.

    Abstract translation: 本文描述了维护相同半结构化数据的两个副本的技术,其中每个副本以不同的格式组织。 一个副本是第一格式,可能方便存储,但查询处理效率低下。 例如,第一格式可以是每次查询需要访问半结构化对象内的各个数据项时需要解析的文本格式。 数据库系统将半结构化的第一格式数据智能地加载到易失性存储器中,同时将半结构化的第一格式数据转换为第二格式。 因为易失性存储器中的数据是第二格式,所以针对第二格式数据的处理查询都允许避免磁盘I / 0,并提高查询本身的效率。 例如,可以避免对第一格式数据的缓存副本运行查询所需的解析。

    Dynamically Updating Data Guide For Hierarchical Data Objects
    30.
    发明申请
    Dynamically Updating Data Guide For Hierarchical Data Objects 有权
    动态更新分层数据对象的数据指南

    公开(公告)号:US20160321375A1

    公开(公告)日:2016-11-03

    申请号:US14699685

    申请日:2015-04-29

    CPC classification number: G06F17/30911 G06F17/30917 G06F17/3092

    Abstract: A data guide is dynamically generated. The data guide describes the structures of hierarchical data objects added to a collection of hierarchical data objects. Examples of hierarchical data objects are documents that conform to XML (Extensible Mark-up Language) or data objects that conform to JSON (JavaScript Object Notation). The data guide may be created and/or updated as hierarchical data objects are added to the collection.

    Abstract translation: 动态生成数据指南。 数据指南描述了添加到分层数据对象集合中的分层数据对象的结构。 分层数据对象的示例是符合XML(可扩展标记语言)或符合JSON(JavaScript对象符号)的数据对象的文档。 当分层数据对象被添加到集合时,可以创建和/或更新数据指南。

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