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公开(公告)号:US20190102450A1
公开(公告)日:2019-04-04
申请号:US15807336
申请日:2017-11-08
Applicant: Oracle International Corporation
Inventor: Zhen Hua LIU , Geeta Arora , Hui Joe Chang
IPC: G06F17/30
Abstract: An approach for improving LOB query performance via automatic inference of locator-less LOB by value semantics in a relational database system is provided. A relational database management system (RDBMS) is implemented to perform operations on LOBs based on the semantics of a statement. During statement compilation, the RDBMS identifies inline LOB column(s) that are not required to be returned to a client. During execution, the identified column(s) are accessed via a shared buffer cache and fed to an operator for evaluation. For inline LOB column(s) that must be returned to the client, during execution, the inline LOB data is copied from the shared buffer cache to a temporary buffer area. Data in the temporary buffer area is fed to an operator for evaluation and is used to create a LOB locator for the inline LOB column(s) that must be returned to the client.
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公开(公告)号:US12287777B2
公开(公告)日:2025-04-29
申请号:US17966730
申请日:2022-10-14
Applicant: Oracle International Corporation
Inventor: Zhen Hua Liu , Juan R. Loaiza , Sundeep Abraham , Shubha Bose , Hui Joe Chang , Shashank Gugnani , Beda Christoph Hammerschmidt , Tirthankar Lahiri , Ying Lu , Douglas James McMahon , Aurosish Mishra , Ajit Mylavarapu , Sukhada Pendse , Ananth Raghavan
IPC: G06F16/00 , G06F16/23 , G06F16/2455
Abstract: JSON Duality Views are object views that return JDV objects. JDV objects are virtual because they are not stored in a database as JSON objects. Rather, JDV objects are stored in shredded form across tables and table attributes (e.g. columns) and returned by a DBMS in response to database commands that request a JDV object from a JSON Duality View. Through JSON Duality Views, changes to the state of a JDV object may be specified at the level of a JDV object. JDV objects are updated in a database using optimistic lock.
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公开(公告)号:US20220342865A1
公开(公告)日:2022-10-27
申请号:US17860192
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
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.
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公开(公告)号:US20220342864A1
公开(公告)日:2022-10-27
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
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.
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公开(公告)号:US11481439B2
公开(公告)日:2022-10-25
申请号:US17129085
申请日:2020-12-21
Applicant: oracle international corporation
Inventor: Zhen Hua Liu , Ying Lu , Hui Joe Chang
IPC: G06F16/835
Abstract: Techniques are described to improve query evaluation in computer systems. In an embodiment, a system receives a full text query for evaluation against a collection of hierarchically marked data object sets. The query specifies token(s) and context(s) which indicate hierarchical location(s) to match within a queried hierarchical data structure. To evaluate the query, the system determines a) data object set(s) that contain the query specified token(s) using token list(s), and/or b) data object set(s) that contain the query specified context(s) using label list(s).
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公开(公告)号:US20140280249A1
公开(公告)日:2014-09-18
申请号:US13831137
申请日:2013-03-14
Applicant: ORACLE INTERNATIONAL CORPORATION
Inventor: Vineet Marwah , Amit Ganesh , Teck Hua Lee , Hui Joe Chang
IPC: G06F17/30
CPC classification number: G06F16/2219
Abstract: In an approach, the database server generates a request for data representing rows of a table, the request identifying one or more data blocks stored on a storage system. The database server then generates metadata describing one or more filtering conditions to be applied to the rows and sends the metadata along with the request to the storage system. The storage system, when applying filtering conditions to a column containing a LOB, determines whether the LOB is stored in-line or out-of-line. If the column contains an out-of-line LOB, the storage system skips the filtering conditions on the column. If the column contains an in-line LOB, the storage system applies the filtering conditions to the column. Upon obtaining the filtered data from the storage system, the database server retrieves the data blocks for out-of-line LOBs and applies the skipped filtering conditions to create a final result set.
Abstract translation: 在一种方法中,数据库服务器产生表示表的行的数据的请求,该请求标识存储在存储系统上的一个或多个数据块。 数据库服务器然后生成描述要应用于行的一个或多个过滤条件的元数据,并将该元数据与请求一起发送到存储系统。 当对包含LOB的列应用过滤条件时,存储系统确定LOB是在线还是外线存储。 如果列包含行外LOB,则存储系统将跳过列上的过滤条件。 如果列包含行内LOB,存储系统将过滤条件应用于列。 在从存储系统获得经过过滤的数据后,数据库服务器检索用于外行LOB的数据块,并应用跳过的过滤条件以创建最终结果集。
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公开(公告)号:US12298946B2
公开(公告)日:2025-05-13
申请号:US17966736
申请日:2022-10-14
Applicant: Oracle International Corporation
Inventor: Zhen Hua Liu , Juan R. Loaiza , Sundeep Abraham , Shubha Bose , Hui Joe Chang , Shashank Gugnani , Beda Christoph Hammerschmidt , Tirthankar Lahiri , Ying Lu , Douglas James McMahon , Aurosish Mishra , Ajit Mylavarapu , Sukhada Pendse , Ananth Raghavan
IPC: G06F16/20 , G06F16/21 , G06F16/2453 , G06F16/84
Abstract: JSON Duality Views are object views that return JDV objects. JDV objects are virtual because they are not stored in a database as JSON objects. Rather, JDV objects are stored in shredded form across tables and table attributes (e.g. columns) and returned by a DBMS in response to database commands that request a JDV object from a JSON Duality View. Through JSON Duality Views, changes to the state of a JDV object may be specified at the level of a JDV object. JDV objects are updated in a database using optimistic lock.
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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.
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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.
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20.
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.
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