LOW-LATENCY DATABASE SYSTEM
    11.
    发明申请

    公开(公告)号:US20250013640A1

    公开(公告)日:2025-01-09

    申请号:US18891642

    申请日:2024-09-20

    Abstract: A computer system can receive one or more edits to be made to a canonical dataset and can temporarily store the one or more edits in a buffer. In response to receipt of a query of the canonical dataset, the computer system can rewrite the query to read from the canonical dataset and the buffer; combine the one or more edits from the buffer with the canonical dataset to form a combined dataset based on resolution policies to avoid conflicts between data; rewrite the query to execute on the combined dataset in lieu of the canonical dataset to optimize query performance; and execute the query on the combined dataset.

    Projections for big database systems

    公开(公告)号:US11620280B2

    公开(公告)日:2023-04-04

    申请号:US17444715

    申请日:2021-08-09

    Abstract: A database system comprised of a decoupled compute layer and storage layer is implemented to store, build, and maintain a canonical dataset, a temporary buffer, and projection datasets. The canonical dataset is a set of batch updated data. The data is appended in chunks to the canonical dataset such that the canonical dataset becomes a historical dataset over time. The buffer is a write ahead log that contains the most recent chunks of data and provides atomicity and durability for the database system. The projection datasets are indexes of the canonical dataset and/or the buffer that may have single or multiple column sort-orders and/or particular data formats. The writes to the canonical dataset, projection datasets, and buffer may be asynchronous and therefore the database system is advantageously less resource constrained.

    Low-latency database system
    14.
    发明授权

    公开(公告)号:US11556535B2

    公开(公告)日:2023-01-17

    申请号:US17443219

    申请日:2021-07-22

    Abstract: A database system comprised of a decoupled compute layer and storage layer is implemented to store, build, and maintain a canonical dataset, a temporary buffer, and an edits dataset. The canonical dataset is a set of batch updated data. The data is appended in chunks to the canonical dataset such that the canonical dataset becomes a historical dataset over time. The buffer is a write ahead log that contains the most recent chunks of data and provides atomicity and durability for the database system. The edits dataset is the set of data that contains edits such as cell mutations, row appends and/or row deletions. The database system enables users to make cell or row-level edits to tables and observe those edits in analytical systems or downstream builds with minimal latency.

    PROJECTIONS FOR BIG DATABASE SYSTEMS
    18.
    发明公开

    公开(公告)号:US20230281191A1

    公开(公告)日:2023-09-07

    申请号:US18178294

    申请日:2023-03-03

    CPC classification number: G06F16/2379 G06F16/273 G06F16/2455 G06F16/248

    Abstract: A database system comprised of a decoupled compute layer and storage layer is implemented to store, build, and maintain a canonical dataset, a temporary buffer, and projection datasets. The canonical dataset is a set of batch updated data. The data is appended in chunks to the canonical dataset such that the canonical dataset becomes a historical dataset over time. The buffer is a write ahead log that contains the most recent chunks of data and provides atomicity and durability for the database system. The projection datasets are indexes of the canonical dataset and/or the buffer that may have single or multiple column sort-orders and/or particular data formats. The writes to the canonical dataset, projection datasets, and buffer may be asynchronous and therefore the database system is advantageously less resource constrained.

    LOW-LATENCY DATABASE SYSTEM
    19.
    发明申请

    公开(公告)号:US20230121493A1

    公开(公告)日:2023-04-20

    申请号:US18083157

    申请日:2022-12-16

    Abstract: A database system comprised of a decoupled compute layer and storage layer is implemented to store, build, and maintain a canonical dataset, a temporary buffer, and an edits dataset. The canonical dataset is a set of batch updated data. The data is appended in chunks to the canonical dataset such that the canonical dataset becomes a historical dataset over time. The buffer is a write ahead log that contains the most recent chunks of data and provides atomicity and durability for the database system. The edits dataset is the set of data that contains edits such as cell mutations, row appends and/or row deletions. The database system enables users to make cell or row-level edits to tables and observe those edits in analytical systems or downstream builds with minimal latency.

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