Dynamic combination of processes for sub-queries
    35.
    发明授权
    Dynamic combination of processes for sub-queries 有权
    动态组合子查询的进程

    公开(公告)号:US09569496B1

    公开(公告)日:2017-02-14

    申请号:US15067560

    申请日:2016-03-11

    Abstract: A tool for combining common processes shared by at least two or more sub-queries within a query is provided. The tool determines the query with the at least two or more sub-queries. The tool determines whether one or more sub set relationships are shared between the at least two or more sub-queries. Responsive to a determination that one or more sub set relationships are shared between the at least two or more sub-queries, the tool determines an order class for the at least two or more sub-queries based on the one or more sub set relationships. The tool determines an access path for the query. The tool executes the access path during run-time for data accessing.

    Abstract translation: 提供了用于组合查询内的至少两个或多个子查询共享的公共进程的工具。 该工具使用至少两个或多个子查询确定查询。 所述工具确定在所述至少两个或更多个子查询之间是否共享一个或多个子集关系。 响应于确定在所述至少两个或更多个子查询之间共享一个或多个子集合关系,所述工具基于所述一个或多个子集合关系确定所述至少两个或更多个子查询的订单类别。 该工具确定查询的访问路径。 该工具在运行时执行访问路径以进行数据访问。

    PREDICTING SYSTEM STATUS WITH TRUSTWORTHY ARTIFICIAL INTELLIGENCE

    公开(公告)号:US20240428126A1

    公开(公告)日:2024-12-26

    申请号:US18339407

    申请日:2023-06-22

    Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to training an AI model to predict status of a DBMS. The computer-implemented system can comprise a memory that can store computer executable components. The computer-implemented system can further comprise a processor that can execute the computer executable components stored in the memory, wherein the computer executable components can comprise a data ingestion component that can use testing data of an AI model to generate ingested data by randomly changing one or more records of at least one feature comprised in the testing data, wherein the ingested data can be used to compute a first ratio indicative of inequity of the at least one feature. The computer executable components can further comprise a training component that can train the AI model using at least the first ratio to predict a status of system.

    Smart test data workload generation

    公开(公告)号:US12147330B2

    公开(公告)日:2024-11-19

    申请号:US17481399

    申请日:2021-09-22

    Abstract: In an approach for smart test data workload generation, a processor receives a plurality of expected image frames for a user interface application to be tested. The plurality of expected image frames is pre-defined and represents a series of workflows and operations of the user interface application to be expected based on a design requirement. A processor calculates a first set of hash-values for each corresponding expected image frame. A processor samples the user interface application with a frequency to a plurality of testing image frames during a test run on the user interface application. A processor calculates a second set of hash-values for each sampled testing image frame. A processor compares the first set of hash-values to the second set of hash-values. A processor verifies that the second set of hash-values matches the first set of hash-values.

    Automated partitioning of a distributed database system

    公开(公告)号:US11914586B2

    公开(公告)日:2024-02-27

    申请号:US17709802

    申请日:2022-03-31

    Abstract: An embodiment includes generating a partition schema for a distributed database based on historical usage data indicative of usage of the distributed database, where the generating of the partition schema comprises determining a partition range of a partition of the partition schema. The embodiment also includes generating a node identifier for the partition using a hash function and a first weight value assigned to the partition. The embodiment also includes monitoring performance data indicative of a performance of the distributed database, the monitoring comprising detecting a failure of the performance to satisfy a performance threshold. The embodiment also includes initiating, responsive to detecting the failure, a redistribution procedure by changing the node identifier of the partition by replacing the first weight value with a second weight value.

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