SHARING MATERIALIZED VIEWS IN MULTIPLE TENANT DATABASE SYSTEMS

    公开(公告)号:US20230418818A1

    公开(公告)日:2023-12-28

    申请号:US18463904

    申请日:2023-09-08

    Applicant: Snowflake Inc.

    CPC classification number: G06F16/24539

    Abstract: Systems, methods, and devices for sharing materialized views in multiple tenant database systems. A method includes defining a materialized view over a source table that is associated with a first account of a multiple tenant database. The method includes defining cross-account access rights to the materialized view to a second account such that that second account can read the materialized view without copying the materialized view. The method includes modifying the source table for the materialized view. The method includes identifying whether the materialized view is stale with respect to the source table by merging the materialized view and the source table.

    SCALABLE QUERY PROCESSING
    2.
    发明申请

    公开(公告)号:US20220414097A1

    公开(公告)日:2022-12-29

    申请号:US17823572

    申请日:2022-08-31

    Applicant: Snowflake Inc.

    Abstract: Embodiments of the present disclosure may provide a dynamic query execution model. This query execution model may provide acceleration by scaling out parallel parts of a query (also referred to as a fragment) to additional computing resources, for example computing resources leased from a pool of computing resources. Execution of the parts of the query may be coordinated by a parent query coordinator, where the query originated, and a fragment query coordinator.

    SCALABLE QUERY PROCESSING
    3.
    发明申请

    公开(公告)号:US20220222255A1

    公开(公告)日:2022-07-14

    申请号:US17657257

    申请日:2022-03-30

    Applicant: Snowflake Inc.

    Abstract: Embodiments of the present disclosure may provide a dynamic query execution model. This query execution model may provide acceleration by scaling out parallel parts of a query (also referred to as a fragment) to additional computing resources, for example computing resources leased from a pool of computing resources. Execution of the parts of the query may be coordinated by a parent query coordinator, where the query originated, and a fragment query coordinator.

    Flexible computing
    4.
    发明授权

    公开(公告)号:US10860381B1

    公开(公告)日:2020-12-08

    申请号:US16874388

    申请日:2020-05-14

    Applicant: Snowflake Inc.

    Abstract: Embodiments of the present disclosure may provide dynamic and fair assignment techniques for allocating resources on a demand basis. Assignment control may be separated into at least two components: a local component and a global component. Each component may have an active dialog with each other; the dialog may include two aspects: 1) a demand for computing resources, and 2) a total allowed number of computing resources. The global component may allocate resources from a pool of resources to different local components, and the local components in turn may assign their allocated resources to local competing requests. The allocation may also be throttled or limited at various levels.

    Scalable query processing
    6.
    发明授权

    公开(公告)号:US11347735B2

    公开(公告)日:2022-05-31

    申请号:US16889033

    申请日:2020-06-01

    Applicant: Snowflake Inc.

    Abstract: Embodiments of the present disclosure may provide a dynamic query execution model. This query execution model may provide acceleration by scaling out parallel parts of a query (also referred to as a fragment) to additional computing resources, for example computing resources leased from a pool of computing resources. Execution of the parts of the query may be coordinated by a parent query coordinator, where the query originated, and a fragment query coordinator.

    SCALABLE QUERY PROCESSING
    7.
    发明申请

    公开(公告)号:US20210374135A1

    公开(公告)日:2021-12-02

    申请号:US16889033

    申请日:2020-06-01

    Applicant: Snowflake Inc.

    Abstract: Embodiments of the present disclosure may provide a dynamic query execution model. This query execution model may provide acceleration by scaling out parallel parts of a query (also referred to as a fragment) to additional computing resources, for example computing resources leased from a pool of computing resources. Execution of the parts of the query may be coordinated by a parent query coordinator, where the query originated, and a fragment query coordinator.

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