公开(公告)号：US11899644B2

公开(公告)日：2024-02-13

申请号：US17860187

申请日：2022-07-08

Applicant: Oracle International Corporation

Inventor： Zhen Hua Liu ,  Sriram Krishnamurthy ,  Beda C. Hammerschmidt ,  Douglas J. McMahon ,  Hui Joe Chang ,  Ying Lu ,  Joshua Spiegel ,  Srikrishnan Suresh ,  Vikas Arora ,  Geeta Arora ,  Sundeep Abraham ,  Hui Zhang ,  Alfonso Colunga Sosa

IPC: G06F16/22 ,  G06F16/2455 ,  G06F16/248 ,  G06F11/34 ,  G06F16/242

CPC classification number: G06F16/2282 ,  G06F11/3409 ,  G06F16/221 ,  G06F16/244 ,  G06F16/248 ,  G06F16/24552 ,  G06F16/24556

Abstract: Herein is a self-tuning database management system (DBMS) storing JavaScript object notation (JSON) documents and operating a JSON datatype as native to the DBMS. In an embodiment, a computer hosts a DBMS that executes a data definition language (DDL) statement that defines, in a database dictionary of the DBMS, a JSON document column of a database table that stores JSON documents as instances of the JSON datatype that is native in the DBMS. The DBMS may autonomously set or adjust configuration settings that control behaviors such as a default width of a JSON document column, in lining or not of the JSON document column, kind and scope and duration of indexing of the JSON document column, and/or caching of the JSON document column such as in an in memory columnar unit (IMCU). The DBMS may use the various configuration settings to control how JSON documents and the native JSON datatype are stored and/or processed.

公开(公告)号：US11423001B2

公开(公告)日：2022-08-23

申请号：US16904417

申请日：2020-06-17

Applicant: Oracle International Corporation

Inventor： Zhen Hua Liu ,  Sriram Krishnamurthy ,  Beda C. Hammerschmidt ,  Douglas J. McMahon ,  Hui Joe Chang ,  Ying Lu ,  Joshua Spiegel ,  Srikrishnan Suresh ,  Vikas Arora ,  Geeta Arora ,  Sundeep Abraham ,  Hui Zhang ,  Alfonso Colunga Sosa

IPC: G06F16/22 ,  G06F16/2455 ,  G06F16/248 ,  G06F11/34 ,  G06F16/242

Abstract: Herein is a self-tuning database management system (DBMS) storing JavaScript object notation (JSON) documents and operating a JSON datatype as native to the DBMS. In an embodiment, a computer hosts a DBMS that executes a data definition language (DDL) statement that defines, in a database dictionary of the DBMS, a JSON document column of a database table that stores JSON documents as instances of the JSON datatype that is native in the DBMS. The DBMS may autonomously set or adjust configuration settings that control behaviors such as a default width of a JSON document column, in lining or not of the JSON document column, kind and scope and duration of indexing of the JSON document column, and/or caching of the JSON document column such as in an in memory columnar unit (IMCU). The DBMS may use the various configuration settings to control how JSON documents and the native JSON datatype are stored and/or processed.

公开(公告)号：US11182429B2

公开(公告)日：2021-11-23

申请号：US16852094

申请日：2020-04-17

Applicant: Oracle International Corporation

Inventor： Zhen Hua Liu ,  Beda C. Hammerschmidt ,  Sriram Krishnamurthy ,  Ying Lu ,  Douglas J. McMahon ,  Srividya Tata ,  Vikas Arora

IPC: G06F16/83 ,  G06F16/84 ,  G06F16/27 ,  G06F16/2458 ,  G06F16/81 ,  G06F16/30

Abstract: Techniques are described herein for leveraging and extending relational data sharding infrastructure to provide comprehensive support for sharding semi-structured and unstructured data, in addition to the relational data, in a single sharded database system. Specifically, techniques are described in which a catalog server pre-gathers all data it needs to answer fetches from a dynamically created temporary lob. In addition, techniques are provided in which a catalog server encodes shard identifiers in lob locators sent to the client. Techniques are provided for pushing down various operators to shard servers.

公开(公告)号：US11182428B2

公开(公告)日：2021-11-23

申请号：US16852075

申请日：2020-04-17

Applicant: Oracle International Corporation

Inventor： Zhen Hua Liu ,  Beda C. Hammerschmidt ,  Sriram Krishnamurthy ,  Ying Lu ,  Douglas J. McMahon ,  Srividya Tata ,  Vikas Arora

IPC: G06F16/22 ,  G06F16/84 ,  G06F16/27 ,  G06F16/2458 ,  G06F16/83 ,  G06F16/81 ,  G06F16/30

Abstract: Techniques are described herein for leveraging and extending relational data sharding infrastructure to provide comprehensive support for sharding semi-structured and unstructured data, in addition to the relational data, in a single sharded database system. Specifically, techniques are described in which a catalog server pre-gathers all data it needs to answer fetches from a dynamically created temporary lob. In addition, techniques are provided in which a catalog server encodes shard identifiers in lob locators sent to the client. Techniques are provided for pushing down various operators to shard servers.

公开(公告)号：US11157478B2

公开(公告)日：2021-10-26

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: G06F7/00 ,  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.

公开(公告)号：US20200242157A1

公开(公告)日：2020-07-30

申请号：US16852085

申请日：2020-04-17

Applicant: Oracle International Corporation

Inventor： Zhen Hua Liu ,  Beda C. Hammerschmidt ,  Sriram Krishnamurthy ,  Ying Lu ,  Douglas J. McMahon ,  Srividya Tata ,  Vikas Arora

IPC: G06F16/84 ,  G06F16/27 ,  G06F16/2458 ,  G06F16/83 ,  G06F16/81 ,  G06F16/30

Abstract: Techniques are described herein for leveraging and extending relational data sharding infrastructure to provide comprehensive support for sharding semi-structured and unstructured data, in addition to the relational data, in a single sharded database system. Specifically, techniques are described in which a catalog server pre-gathers all data it needs to answer fetches from a dynamically created temporary lob. In addition, techniques are provided in which a catalog server encodes shard identifiers in lob locators sent to the client. Techniques are provided for pushing down various operators to shard servers.