Incremental refresh of a materialized view

    公开(公告)号:US11461309B2

    公开(公告)日:2022-10-04

    申请号:US17238539

    申请日:2021-04-23

    Applicant: Snowflake Inc.

    Abstract: Systems, methods, and devices for incrementally refreshing a materialized view are disclosed. A method includes generating a materialized view based on a source table. The method includes merging the source table and the materialized view to generate a merged table to identify whether an update has been executed on the source table that is not reflected in the materialized view. The method includes, in response to detecting an update made to the source table that is not reflected in the materialized view, applying the update to the materialized view.

    Incremental reclustering based on local maxima of partition overlap

    公开(公告)号:US11442917B2

    公开(公告)日:2022-09-13

    申请号:US17243795

    申请日:2021-04-29

    Applicant: Snowflake Inc.

    Abstract: Disclosed herein are systems and methods for incremental reclustering of database tables based on local maxima of partition overlap. In an embodiment, a database platform makes a determination, based on one or more incremental-reclustering criteria, to incrementally recluster a database table, which has a clustering key and which is stored across a plurality of partitions. In response to making the determination, the database platform selects a subset of the partitions, and at least incrementally reclusters the selected subset. The selecting of the subset includes identifying a local maximum of a quantity of overlapping partitions in the plurality of partitions with respect to a domain of the clustering key of the table, where the overlapping partitions overlap with respect to the clustering key.

    Scalable query processing
    23.
    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.

    INCREMENTAL RECLUSTERING OF DATABASE TABLES USING RECLUSTERING-COUNT LEVELS

    公开(公告)号:US20220067016A1

    公开(公告)日:2022-03-03

    申请号:US17511064

    申请日:2021-10-26

    Applicant: Snowflake Inc.

    Abstract: The subject technology determines whether a table is sufficiently clustered. The subject technology in response to determining the table is not sufficiently clustered, selects one or more micro-partitions of the table to be reclustered. The subject technology constructs a data structure for the table. The subject technology extracts minimum and maximum endpoints for each micro-partition in the data structure. The subject technology sorts each of one or more peaks in the data structure based on height. The subject technology sorts overlapping micro-partitions based on width. The subject technology selects based on which micro-partitions are within the tallest peaks of the one or more peaks and further based on which of the overlapping micro-partitions have the widest widths.

    RESOURCE PROVISIONING IN DATABASE SYSTEMS

    公开(公告)号:US20210397615A1

    公开(公告)日:2021-12-23

    申请号:US17462699

    申请日:2021-08-31

    Applicant: Snowflake Inc.

    Abstract: Resource provisioning systems and methods are described. In an embodiment, a system includes a plurality of shared storage devices collectively storing database data, an execution platform, and a compute service manager. The compute service manager is configured to determine a task to be executed in response to a trigger event and determine a query plan for executing the task, wherein the query plan comprises a plurality of discrete subtasks. The compute service manager is further configured to assign the plurality of discrete subtasks to one or more nodes of a plurality of nodes of the execution platform, determine whether execution of the task is complete, and in response to determining the execution of the task is complete, store a record in the plurality of shared storage devices indicating the task was completed.

    SCALABLE QUERY PROCESSING
    26.
    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.

    Internal resource provisioning in database systems

    公开(公告)号:US11138214B2

    公开(公告)日:2021-10-05

    申请号:US16778954

    申请日:2020-01-31

    Applicant: Snowflake Inc.

    Abstract: Resource provisioning systems and methods are described. In an embodiment, a system includes a plurality of shared storage devices collectively storing database data, an execution platform, and a compute service manager. The compute service manager is configured to determine a task to be executed in response to a trigger event and determine a query plan for executing the task, wherein the query plan comprises a plurality of discrete subtasks. The compute service manager is further configured to assign the plurality of discrete subtasks to one or more nodes of a plurality of nodes of the execution platform, determine whether execution of the task is complete, and in response to determining the execution of the task is complete, store a record in the plurality of shared storage devices indicating the task was completed.

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