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公开(公告)号:US10747814B2
公开(公告)日:2020-08-18
申请号:US15848737
申请日:2017-12-20
Applicant: Oracle International Corporation
Inventor: Zhen Hua Liu , Beda C. Hammerschmidt , Sriram Krishnamurthy , Ying Lu , Douglas J. McMahon , Srividya Tata , Vikas Arora
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.
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公开(公告)号:US20200242158A1
公开(公告)日:2020-07-30
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
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.
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公开(公告)号:US20190102476A1
公开(公告)日:2019-04-04
申请号:US15848737
申请日:2017-12-20
Applicant: Oracle International Corporation
Inventor: Zhen Hua Liu , Beda C. Hammerschmidt , Sriram Krishnamurthy , Ying Lu , Douglas J. McMahon , Srividya Tata , Vikas Arora
IPC: G06F17/30
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.
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公开(公告)号:US11762834B2
公开(公告)日:2023-09-19
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
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:US11640380B2
公开(公告)日:2023-05-02
申请号:US17198159
申请日:2021-03-10
Applicant: Oracle International Corporation
Inventor: Hui Zhang , Zhen Hua Liu , Ying Lu , Beda Christoph Hammerschmidt , Douglas James McMahon , Denis B. Mukhin
IPC: G06F16/22
Abstract: Herein is acceleration for JavaScript object notation (JSON) documents in a relational database based on multilevel, multifield, multivalued indexing and querying. In an embodiment, into a table in a relational database, a computer stores many hierarchical data objects that respectively contain multiple levels that respectively contain one or more fields. An index is generated for indexed values in fields in at least two of the multiple levels. Based on the index, a database statement that references the table in the relational database and at least one of the indexed fields is executed. Indices herein provide matching to more fields in more levels of hierarchical data objects thereby decreasing or eliminating further filtering by brute force after index access. Matching ordinal positions within an array field needs no further filtration after index access. A single index provides increased spatial locality of index entries for acceleration. Index maintenance is minimized for acceleration.
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公开(公告)号:US20210081389A1
公开(公告)日:2021-03-18
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 , G06F16/242 , G06F11/34
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: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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10.
公开(公告)号:US20160321375A1
公开(公告)日:2016-11-03
申请号:US14699685
申请日:2015-04-29
Applicant: Oracle International Corporation
Inventor: Zhen Hua Liu , Beda Christoph Hammerschmidt , Ying Lu , Rahul Manohar Kadwe , Douglas McMahon
IPC: G06F17/30
CPC classification number: G06F17/30911 , G06F17/30917 , G06F17/3092
Abstract: A data guide is dynamically generated. The data guide describes the structures of hierarchical data objects added to a collection of hierarchical data objects. Examples of hierarchical data objects are documents that conform to XML (Extensible Mark-up Language) or data objects that conform to JSON (JavaScript Object Notation). The data guide may be created and/or updated as hierarchical data objects are added to the collection.
Abstract translation: 动态生成数据指南。 数据指南描述了添加到分层数据对象集合中的分层数据对象的结构。 分层数据对象的示例是符合XML(可扩展标记语言)或符合JSON(JavaScript对象符号)的数据对象的文档。 当分层数据对象被添加到集合时,可以创建和/或更新数据指南。
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