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    MONITORING OF RESOURCE CONSUMPTION PER TENANT
    1.
    发明公开
    MONITORING OF RESOURCE CONSUMPTION PER TENANT 审中-公开

    公开(公告)号：US20240193006A1

    公开(公告)日：2024-06-13

    申请号：US18063451

    申请日：2022-12-08

    Applicant: SAP SE

    Inventor： Robin JOY ,  Ruediger KARL ,  Norman MAY ,  Tobias SCHEUER ,  Patrick VOELKER ,  Jaeyoung CHOI ,  Hyogi JUNG

    IPC: G06F9/50

    CPC classification number: G06F9/5077 ,  G06F9/505 ,  G06F2209/5011 ,  G06F2209/5016

    Abstract: Systems and methods include reception, at a database instance hosting a plurality of database tenants, of a statement for execution in a first database session associated with a first tenant, determination of first tenant-level resource limits associated with the database session, determination, for one or more resources, of a total amount consumed by the first database session, determination, based on the first tenant-level resource limits and the total amount of the one or more resources consumed by the first database session, of whether the statement can be executed by the database instance in compliance with the first tenant-level resource limits, and execution of the statement if it is determined that the statement can be executed by the database instance in compliance with the first tenant-level resource limits.

    TENANT-LEVEL DATABASE RECOVERY
    2.
    发明公开
    TENANT-LEVEL DATABASE RECOVERY 审中-公开

    公开(公告)号：US20240281344A1

    公开(公告)日：2024-08-22

    申请号：US18185872

    申请日：2023-03-17

    Applicant: SAP SE

    Inventor： Uwe HAHN ,  Eunsang KIM ,  Mihnea ANDREI ,  Werner THESING ,  Patrick VOELKER ,  Ruediger KARL ,  Yong Sik KWON ,  Jaeyoung CHOI ,  Jian LUO ,  Hyunjun KIM ,  Andre SCHEFE ,  Urs KLINGSPORN ,  Norman MAY

    IPC: G06F11/14

    CPC classification number: G06F11/1469 ,  G06F11/1451 ,  G06F11/1464

    Abstract: Systems and methods include reception of an instruction to recover a first database tenant of a first database instance to a first point in time, the first database tenant associated with first database artifacts of the first database instance, and the first database instance including two or more database tenants and, in response to the instruction, creation of a second database instance, selection of backup data of the first database instance based on the first point in time, execution of a recovery of the backup data on the second database instance, export of second database artifacts of the first database tenant from the second database instance to a storage, truncation of the first database artifacts from the first database instance, import of the second database artifacts from the storage to the first database instance, and deletion of the second database instance.

    FRAMEWORK FOR WORKLOAD PREDICTION AND PHYSICAL DATABASE DESIGN
    4.
    发明公开
    FRAMEWORK FOR WORKLOAD PREDICTION AND PHYSICAL DATABASE DESIGN 审中-公开

    公开(公告)号：US20240004855A1

    公开(公告)日：2024-01-04

    申请号：US18462513

    申请日：2023-09-07

    Applicant: SAP SE

    Inventor： Michael BRENDLE ,  Norman MAY ,  Robert SCHULZE ,  Alexander BOEHM ,  Michael GROSSNIKLAUS ,  Guido MOERKOTTE

    IPC: G06F16/22 ,  G06F16/25 ,  G06F16/21 ,  G06F11/34

    CPC classification number: G06F16/2282 ,  G06F11/3414 ,  G06F16/213 ,  G06F16/256

    Abstract: According to some embodiments, methods and systems may be associated with a cloud computing environment. A workload prediction framework may receive observed workload information associated with a database in the cloud computing environment (e.g., a DataBase as a Service (“DBaaS”)). Based on the observed workload information, a Statement Arrival Rate (“SAR”) prediction may be generated. In addition, a host variable assignment prediction may be generated based on the observed workload information. The workload prediction framework may then use the SAR prediction and the host variable assignment prediction to automatically create a workload prediction for the database. A physical database design advisor (e.g., a table partitioning advisor) may receive the workload prediction and, responsive to the workload prediction, automatically generate a recommended physical layout for the database (e.g., using a cost model, the current physical layout, and an objective function).

    FRAMEWORK FOR WORKLOAD PREDICTION AND PHYSICAL DATABASE DESIGN
    6.
    发明公开
    FRAMEWORK FOR WORKLOAD PREDICTION AND PHYSICAL DATABASE DESIGN 审中-公开

    公开(公告)号：US20230306009A1

    公开(公告)日：2023-09-28

    申请号：US17705728

    申请日：2022-03-28

    Applicant: SAP SE

    Inventor： Michael BRENDLE ,  Norman MAY ,  Robert SCHULZE ,  Alexander BOEHM ,  Michael GROSSNIKLAUS ,  Guido MOERKOTTE

    IPC: G06F16/22 ,  G06F16/21 ,  G06F16/25 ,  G06F11/34

    CPC classification number: G06F16/2282 ,  G06F16/213 ,  G06F16/256 ,  G06F11/3414

    Abstract: According to some embodiments, methods and systems may be associated with a cloud computing environment. A workload prediction framework may receive observed workload information associated with a database in the cloud computing environment (e.g., a DataBase as a Service (“DBaaS”)). Based on the observed workload information, a Statement Arrival Rate (“SAR”) prediction may be generated. In addition, a host variable assignment prediction may be generated based on the observed workload information. The workload prediction framework may then use the SAR prediction and the host variable assignment prediction to automatically create a workload prediction for the database. A physical database design advisor (e.g., a table partitioning advisor) may receive the workload prediction and, responsive to the workload prediction, automatically generate a recommended physical layout for the database (e.g., using a cost model, the current physical layout, and an objective function).

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