Storage engine for hybrid data processing

    公开(公告)号:US11789936B2

    公开(公告)日:2023-10-17

    申请号:US17462853

    申请日:2021-08-31

    Applicant: LEMON INC.

    CPC classification number: G06F16/2379 G06F16/28

    Abstract: The present disclosure describes storage techniques for hybrid transactional and analytical processing. Data captured by a first processing engine may be received. The first processing engine may be configured to perform online transactional processing). Multiple replicas of logical logs generated based on the data may be distributed to a Delta Store by applying a quorum protocol on the multiple replicas. Data in the Delta Store are stored in a row format and are visible to a query for online analytical processing performed by a second processing engine. Data may be flushed from the Delta Store to a Base Store based on one or more predetermined rules. Data in the Base Store are stored in a columnar format and may be accessible by the second processing engine.

    Database-based data processing method, device, medium and electronic apparatus

    公开(公告)号:US12164960B1

    公开(公告)日:2024-12-10

    申请号:US18737810

    申请日:2024-06-07

    Abstract: The present disclosure relates to a database-based data processing method, device, medium and electronic apparatus, the method including: receiving a query request task to be executed, and determining a plurality of coroutine tasks corresponding to the query request task; in each thread, determining a target coroutine task to be executed according to time information of each coroutine task in the local task queue of the thread; interrupting the target coroutine task and adding the target coroutine task to the global task queue when execution of the target coroutine task is not completed and the target coroutine task has been executed in the thread for a current time slice; according to the global task queue, and the local task queue of the thread, determining a new target coroutine task for the thread, and executing the new target coroutine task in a next time slice.

    STORAGE ENGINE FOR HYBRID DATA PROCESSING

    公开(公告)号:US20230063730A1

    公开(公告)日:2023-03-02

    申请号:US17462853

    申请日:2021-08-31

    Applicant: LEMON INC.

    Abstract: The present disclosure describes storage techniques for hybrid transactional and analytical processing. Data captured by a first processing engine may be received. The first processing engine may be configured to perform online transactional processing). Multiple replicas of logical logs generated based on the data may be distributed to a Delta Store by applying a quorum protocol on the multiple replicas. Data in the Delta Store are stored in a row format and are visible to a query for online analytical processing performed by a second processing engine. Data may be flushed from the Delta Store to a Base Store based on one or more predetermined rules. Data in the Base Store are stored in a columnar format and may be accessible by the second processing engine.

    ADAPTIVE DISK SPILL BASED ON MEMORY USAGE OF SHARED STORAGE

    公开(公告)号:US20240403292A1

    公开(公告)日:2024-12-05

    申请号:US18798502

    申请日:2024-08-08

    Abstract: A hybrid transactional/analytical processing database includes an OLTP engine, OLAP engine, and shared storage including a mass storage device holding data of multiple tenants. The shared storage includes processing circuitry configured to implement a query executor configured to continuously monitor actual memory usage of the shared storage while the shared storage is responding to one or more queries from the OLTP engine or OLAP engine. Upon determining the actual memory usage of an operator evaluating the one or more of the queries from the OLTP engine or OLAP engine at the shared storage exceeds the preventative memory usage threshold but does not exceed the system memory usage threshold, the query executor is further configured to spill one or more fragments of query memory corresponding to the one or more queries to the mass storage device, without terminating the one or more queries.

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