中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

20 records (took 0.022 seconds)

    TECHNIQUE OF COMPREHENSIVELY SUPPORT AUTONOMOUS JSON DOCUMENT OBJECT (AJD) CLOUD SERVICE
    2.
    发明申请
    TECHNIQUE OF COMPREHENSIVELY SUPPORT AUTONOMOUS JSON DOCUMENT OBJECT (AJD) CLOUD SERVICE 审中-公开

    公开(公告)号：US20200210398A1

    公开(公告)日：2020-07-02

    申请号：US16690817

    申请日：2019-11-21

    Applicant: Oracle International Corporation

    Inventor： Zhen Hua Liu ,  Vikas Arora ,  Ying Lu ,  Sriram Krishnamurthy ,  Hui Joe Chang ,  Beda Christoph Hammerschmidt ,  Joshua Jeffrey Spiegel

    IPC: G06F16/22 ,  G06F16/2455 ,  G06F16/28

    Abstract: The present invention relates to autonomous tuning of a data grid of documents in a database. Herein are techniques for storage cells to autonomously maintain local indices and other optimization metadata and algorithms to accelerate selective access into a distributed collection of documents. In an embodiment, each storage cell persists a respective subset of documents. Each storage cell stores, in memory, respective index(s) that map each item to location(s), in one or more documents of the respective subset of documents, where the item occurs. One or more computers execute, based on at least a subset of the indices of the storage cells, a data access request from a database management system. In an embodiment, a cloud of JSON document services provides an easy-to-use, fully autonomous JSON document database that horizontally and elastically scales to deliver fast execution of document transactions and queries without needing tuning by a database administrator.

    Techniques for in-memory spatial object filtering
    7.
    发明授权
    Techniques for in-memory spatial object filtering 有权

    公开(公告)号：US11507590B2

    公开(公告)日：2022-11-22

    申请号：US16904392

    申请日：2020-06-17

    Applicant: Oracle International Corporation

    Inventor： Siva Ravada ,  Ying Hu ,  Zhen Hua Liu ,  Shasank Kisan Chavan ,  Aurosish Mishra ,  Vikas Arora

    IPC: G06F16/25 ,  G06F16/22 ,  G06F9/38 ,  G06F16/242 ,  G06F16/2457

    Abstract: Techniques are introduced herein for maintaining geometry-type data on persistent storage and in memory. Specifically, a DBMS that maintains a database table, which includes at least one column storing spatial data objects (SDOs), also maintains metadata for the database table that includes definition data for one or more virtual columns of the table. According to an embodiment, the definition data includes one or more expressions that calculate minimum bounding box values for SDOs stored in the geometry-type column in the table. The one or more expressions in the metadata maintained for the table are used to create one or more in-memory columns that materialize the bounding box data for the represented SDOs. When a query that uses spatial-type operators to perform spatial filtering over data in the geometry-type column is received, the DBMS replaces the spatial-type operators with operators that operate over the scalar bounding box information materialized in memory.

    TECHNIQUES FOR IN-MEMORY SPATIAL OBJECT FILTERING
    9.
    发明申请
    TECHNIQUES FOR IN-MEMORY SPATIAL OBJECT FILTERING 有权

    公开(公告)号：US20210081428A1

    公开(公告)日：2021-03-18

    申请号：US16904392

    申请日：2020-06-17

    Applicant: Oracle International Corporation

    Inventor： Siva Ravada ,  Ying Hu ,  Zhen Hua Liu ,  Shasank Kisan Chavan ,  Aurosish Mishra ,  Vikas Arora

    IPC: G06F16/25 ,  G06F16/22 ,  G06F16/2457 ,  G06F16/242 ,  G06F9/38

    Abstract: Techniques are introduced herein for maintaining geometry-type data on persistent storage and in memory. Specifically, a DBMS that maintains a database table, which includes at least one column storing spatial data objects (SDOs), also maintains metadata for the database table that includes definition data for one or more virtual columns of the table. According to an embodiment, the definition data includes one or more expressions that calculate minimum bounding box values for SDOs stored in the geometry-type column in the table. The one or more expressions in the metadata maintained for the table are used to create one or more in-memory columns that materialize the bounding box data for the represented SDOs. When a query that uses spatial-type operators to perform spatial filtering over data in the geometry-type column is received, the DBMS replaces the spatial-type operators with operators that operate over the scalar bounding box information materialized in memory.

Patent Agency Ranking