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    SYSTEMS, APPARATUSES, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR OPTIMIZING SEARCH LATENCY
    2.
    发明公开
    SYSTEMS, APPARATUSES, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR OPTIMIZING SEARCH LATENCY 审中-公开

    公开(公告)号：US20240362221A1

    公开(公告)日：2024-10-31

    申请号：US18308153

    申请日：2023-04-27

    申请人： HONEYWELL INTERNATIONAL INC.

    发明人： Ankit SINGH ,  Lakshminarayana PAILA

    IPC分类号： G06F16/2453 ,  G06F16/2455

    CPC分类号： G06F16/24542 ,  G06F16/2455

    摘要： Systems, apparatuses, methods, and computer program products are provided. For example, a computer-implemented method may include receiving one or more datasets from a user. In some embodiments, computer-implemented method may include storing at least a portion of the one or more datasets in a first shard during a first time period. In some embodiments, the first shard comprises shard data. In some embodiments, the shard data is associated with a data size. In some embodiments, computer-implemented method may include determining that the data size of the shard data in the first shard is greater than a first data size threshold. In some embodiments, computer-implemented method may include in response to the determination that the data size of the shard data in the first shard is greater than the first data size threshold, transferring at least a portion of the shard data in the first shard to a second shard.

    METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR QUERYING STORAGE SYSTEM
    3.
    发明公开
    METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR QUERYING STORAGE SYSTEM 审中-公开

    公开(公告)号：US20240362218A1

    公开(公告)日：2024-10-31

    申请号：US18498296

    申请日：2023-10-31

    申请人： Dell Products L.P.

    发明人： Shuqin Liu ,  Menglei Liang ,  Hao Sun

    IPC分类号： G06F16/2453 ,  G06F16/242 ,  G06F16/25

    CPC分类号： G06F16/24534 ,  G06F16/2448 ,  G06F16/25

    摘要： Techniques for querying a storage system involve receiving a query request for querying a resource in the storage system, determining a query type of the query request according to configuration information, generating a corresponding query statement according to the query type, and querying the resource from the storage system through the query statement. Accordingly, a query result can be obtained by generating a query statement (or referred to as “query expression”) corresponding to a query request to query the corresponding database directly, thereby improving the query efficiency in making queries to the storage system and enhancing the user experience. Such techniques can be easily integrated into any product having query needs (e.g. a storage system product), thus improving the product development efficiency and the ease of use and maintainability of the product.

    DISPERSING ROWS ACROSS A PLURALITY OF PARALLELIZED PROCESSES IN PERFORMING A NONLINEAR OPTIMIZATION PROCESS BASED ON POWER
    4.
    发明公开
    DISPERSING ROWS ACROSS A PLURALITY OF PARALLELIZED PROCESSES IN PERFORMING A NONLINEAR OPTIMIZATION PROCESS BASED ON POWER 审中-公开

    公开(公告)号：US20240362217A1

    公开(公告)日：2024-10-31

    申请号：US18766241

    申请日：2024-07-08

    申请人： Ocient Holdings LLC

    发明人： Jason Arnold

    IPC分类号： G06F16/2453 ,  G06N20/00

    CPC分类号： G06F16/24532 ,  G06F16/24537 ,  G06F16/24542 ,  G06N20/00

    摘要： A database system is operable to read a plurality of rows from memory of a relational database stored in memory resources. Each of the plurality of rows are assigned to a corresponding one of a plurality of training data subsets of the plurality of rows based on performing a row dispersal process. A plurality of sets of candidate model coefficients are generated based on executing a plurality of parallelized optimization processes. Each set of candidate model coefficients is generated based on executing a corresponding parallelized optimization process upon a corresponding training data subset independently from executing other ones of the plurality of parallelized optimization processes upon other ones of the plurality of training data subsets. A most favorable set of candidate model coefficients is selected from the plurality of sets of candidate model coefficients generated via the plurality of parallelized optimization processes.

    Late materialization of queried data in database cache
    6.
    发明授权
    Late materialization of queried data in database cache 有权

    公开(公告)号：US12130814B2

    公开(公告)日：2024-10-29

    申请号：US17522504

    申请日：2021-11-09

    申请人： Google LLC

    发明人： Xiaobin Ma ,  Xun Cheng ,  Viral Shah ,  Anjan Kumar Amirishetty

    IPC分类号： G06F16/2453 ,  G06F16/2455

    CPC分类号： G06F16/24544 ,  G06F16/24539 ,  G06F16/24557 ,  G06F16/2456

    摘要： Aspects of the disclosure are directed to late materialization of attributes in response to queries to a database implementing a database cache. Queried data is materialized in temporary memory before the data is projected as part of generating a result to the query. Instead of materializing all of the attributes referenced in a query before executing the query, a database management system materializes attributes as “late” as possible—when the operation needing the attributes is executed. The operation needing the attributes can be performed sooner, as opposed to materializing all referenced attributes are materialized before executing the query.

    Method for data extraction, terminal device and computer-readable storage medium
    9.
    发明授权
    Method for data extraction, terminal device and computer-readable storage medium 有权

    公开(公告)号：US12124517B2

    公开(公告)日：2024-10-22

    申请号：US17436921

    申请日：2019-03-05

    申请人： SHENZHEN TINYSOFT CO., LTD.

    发明人： Ermou Liu

    IPC分类号： G06F16/2453 ,  G06F16/906

    CPC分类号： G06F16/906 ,  G06F16/24537

    摘要： The present application relates to the technical field of data extraction, and provides a method for data extraction, a terminal device, and a computer-readable storage medium. The method for data extraction determines the target cursor from the ordered cursor group based on the quoted keywords contained in the target instruction when the target instruction for extracting target data from the data set is detected and the cursor group in the data set is the ordered cursor group, and then extracts the target data from the data set based on the target instruction and the target cursor, which provides a basis for the movement extraction or movement processing of sequence data, without considering the limitations of query rules or structured query logic in the data, and improving the efficiency of data extraction.