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    STORAGE ENGINE FOR HYBRID DATA PROCESSING
    2.
    发明申请
    STORAGE ENGINE FOR HYBRID DATA PROCESSING 有权

    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.

    Inventor： Jianjun Chen ,  Yonghua Ding ,  Ye Liu ,  Fangshi Li ,  Li Zhang ,  Mingyi Zhang ,  Kui Wei ,  Wei Ding ,  Kai Wu ,  Jason Yang Sun

    IPC: G06F16/23 ,  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.

    Hybrid data processing system and method
    4.
    发明授权
    Hybrid data processing system and method 有权

    公开(公告)号：US12147432B2

    公开(公告)日：2024-11-19

    申请号：US17462998

    申请日：2021-08-31

    Applicant: LEMON INC.

    Inventor： Jianjun Chen ,  Yonghua Ding ,  Ye Liu ,  Fangshi Li ,  Lixun Cao ,  Yang Liu ,  Li Zhang ,  Mingyi Zhang ,  Lei Zhang ,  Rui Shi

    IPC: G06F16/2457 ,  G06F16/178 ,  G06F16/242 ,  G06F16/25 ,  G06F16/27

    Abstract: The present disclosure describes hybrid transactional and analytical processing (HTAP) techniques. A HTAP system comprises a first processing engine configured to perform online transactional processing, a second processing engine configured to perform online analytical processing, and a storage in communication with the first processing engine and the second processing engine. The first processing engine, the second processing engine, and the storage may be modularized and configured to be decoupled from each other. The system may be configured to capture data by the first processing engine in real time, organize the data in a first format in a first part of the storage for use by the first processing engine, propagate the data to a second part of the storage subsystem, and organize the data in a second format in the second part of the storage for use by the second processing engine.

    Storage engine for hybrid data processing
    5.
    发明授权
    Storage engine for hybrid data processing 有权

    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.

    Inventor： Jianjun Chen ,  Yonghua Ding ,  Ye Liu ,  Fangshi Li ,  Li Zhang ,  Mingyi Zhang ,  Kui Wei ,  Wei Ding ,  Kai Wu ,  Jason Yang Sun

    IPC: G06F16/00 ,  G06F16/23 ,  G06F16/28

    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.

    MODEL-AWARE METHOD AND SYSTEM FOR TRAINING AND/OR FINE-TUNING A MACHINE LEARNING MODEL
    6.
    发明公开
    MODEL-AWARE METHOD AND SYSTEM FOR TRAINING AND/OR FINE-TUNING A MACHINE LEARNING MODEL 审中-公开

    公开(公告)号：US20230289616A1

    公开(公告)日：2023-09-14

    申请号：US18319636

    申请日：2023-05-18

    Applicant: Lemon Inc.

    Inventor： Tongping Liu ,  Wei Xu ,  Jianjun Chen

    IPC: G06N3/098

    CPC classification number: G06N3/098

    Abstract: System and method of training a machine learning model on a plurality of devices in parallel are provided. The method includes performing a model profiling execution before a model normal execution, allocating tensors of the model into a plurality of chunks based on profiling results from the model profiling execution, and performing the model normal execution on the plurality of devices in parallel to train or fine-tune the model.

    ADAPTIVE DISK SPILL BASED ON MEMORY USAGE OF SHARED STORAGE
    7.
    发明申请
    ADAPTIVE DISK SPILL BASED ON MEMORY USAGE OF SHARED STORAGE 有权

    公开(公告)号：US20240403292A1

    公开(公告)日：2024-12-05

    申请号：US18798502

    申请日：2024-08-08

    Applicant: Lemon Inc. ,  Beijing Zitiao Network Technology Co., Ltd.

    Inventor： Wei Ding ,  Li Zhang ,  Yuanjin Lin ,  Kui Wei ,  Yuxiang Chen ,  Jianjun Chen

    IPC: G06F16/2453 ,  G06F11/30 ,  G06F11/34

    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.

    HYBRID DATA PROCESSING SYSTEM AND METHOD
    8.
    发明申请
    HYBRID DATA PROCESSING SYSTEM AND METHOD 有权

    公开(公告)号：US20230066540A1

    公开(公告)日：2023-03-02

    申请号：US17462998

    申请日：2021-08-31

    Applicant: LEMON INC.

    Inventor： Jianjun Chen ,  Yonghua Ding ,  Ye Liu ,  Fangshi Li ,  Lixun Cao ,  Yang Liu ,  Li Zhang ,  Mingyi Zhang ,  Lei Zhang ,  Rui Shi

    IPC: G06F16/2457 ,  G06F16/25 ,  G06F16/242 ,  G06F16/27

    Abstract: The present disclosure describes hybrid transactional and analytical processing (HTAP) techniques. A HTAP system comprises a first processing engine configured to perform online transactional processing, a second processing engine configured to perform online analytical processing, and a storage in communication with the first processing engine and the second processing engine. The first processing engine, the second processing engine, and the storage may be modularized and configured to be decoupled from each other. The system may be configured to capture data by the first processing engine in real time, organize the data in a first format in a first part of the storage for use by the first processing engine, propagate the data to a second part of the storage subsystem, and organize the data in a second format in the second part of the storage for use by the second processing engine.

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