Data Storage Method And Coordinator Node
    1.
    发明申请

    公开(公告)号:US20180276252A1

    公开(公告)日:2018-09-27

    申请号:US15989315

    申请日:2018-05-25

    Inventor: Jinyu ZHANG

    Abstract: The present disclosure relates to a data storage method. In one example method, a coordinator node (CN) determines, according to a data table identifier corresponding to one piece of obtained data, multiple distribution keys corresponding to the data table identifier. The CN sends the data and at least one storage area identifier to at least one data node. Each data node of the at least one data node corresponds to at least one distribution key of the multiple distribution keys. Each storage area identifier of the at least one storage area identifier represents the at least one distribution key of the multiple distribution keys corresponding to the particular data node. Each storage area identifier is used by a corresponding data node to save the data in a storage area of the corresponding data node.

    MICROSERVICE COMPONENT-BASED DATABASE SYSTEM AND RELATED METHOD

    公开(公告)号:US20220067044A1

    公开(公告)日:2022-03-03

    申请号:US17525400

    申请日:2021-11-12

    Abstract: Some embodiments provide a microservice component-based database system, to split a database kernel into microservice components that can be enabled and run independently and whose functions are decoupled, and implement flexible database assembly and management. The microservice component can be deployed based on a system resource and a service form. The components can collaborate with each other by using a lightweight communication mechanism. A component manager provides capabilities such as registration and deregistration of a service component, component resource management, component fault tolerance, and component upgrade, to implement dynamic management of the component in a running environment. A job scheduler selects, based on a job submitted by a user, an optimal execution path including a plurality of components, and performs resource management and scheduling in a job execution process, to implement load balancing and high availability.

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