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公开(公告)号:US11567932B2
公开(公告)日:2023-01-31
申请号:US17080698
申请日:2020-10-26
Applicant: ORACLE INTERNATIONAL CORPORATION
Inventor: Vlad Haprian , Laurent Daynes , Zhen Hua Liu , Lei Sheng , Hugo Kapp , Marco Arnaboldi , Jean-Pierre Lozi , Andrew Witkowski , Hassan Chafi , Sungpack Hong
IPC: G06F16/242 , G06F16/2455 , G06F16/2452 , G06F16/25 , G06F16/22
Abstract: Techniques support graph pattern matching queries inside a relational database management system (RDBMS) that supports SQL execution. The techniques compile a graph pattern matching query into a SQL query that can then be executed by the relational engine. As a result, techniques enable execution of graph pattern matching queries on top of the relational engine by avoiding any change in the existing SQL engine.
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公开(公告)号:US20230008658A1
公开(公告)日:2023-01-12
申请号:US17368840
申请日:2021-07-07
Applicant: Oracle International Corporation
Inventor: Richard P. Sonderegger , Kenneth P. Baclawski , Guang C. Wang , Anna Chystiakova , Dieter Gawlick , Zhen Hua Liu , Kenny C. Gross
Abstract: The disclosed embodiments relate to a system that automatically adapts a prognostic-surveillance system to account for aging phenomena in a monitored system. During operation, the prognostic-surveillance system is operated in a surveillance mode, wherein a trained inferential model is used to analyze time-series signals from the monitored system to detect incipient anomalies. During the surveillance mode, the system periodically calculates a reward/cost metric associated with updating the trained inferential model. When the reward/cost metric exceeds a threshold, the system swaps the trained inferential model with an updated inferential model, which is trained to account for aging phenomena in the monitored system.
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公开(公告)号:US11500868B2
公开(公告)日:2022-11-15
申请号:US17162527
申请日:2021-01-29
Applicant: Oracle International Corporation
Inventor: Andrea Segalini , Jean-Pierre Lozi , Laurent Daynes , Marco Arnaboldi , Vlad Ioan Haprian , Hugo Kapp , Shasank Kisan Chavan , Zhen Hua Liu , Danica Porobic
IPC: G06F16/245 , G06F16/22 , G06F16/2453 , G06F16/2452 , G06F16/2455
Abstract: Vertex/edge table rows are mapped to unique integer identifiers, to enable construction of in-memory representation of a graph from existing, unmodified RDBMS tables. The unique integer identifiers are based on an encoding of primary key values of the table rows. The unique integer identifiers are used as graph indexes of the in-memory representation.
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公开(公告)号:US20220245147A1
公开(公告)日:2022-08-04
申请号:US17162527
申请日:2021-01-29
Applicant: Oracle International Corporation
Inventor: Andrea Segalini , Jean-Pierre Lozi , Laurent Daynes , Marco Arnaboldi , Vlad Ioan Haprian , Hugo Kapp , Shasank Kisan Chavan , Zhen Hua Liu , Danica Porobic
IPC: G06F16/2453 , G06F16/2452 , G06F16/2455 , G06F16/22
Abstract: Techniques are provided for mapping vertex/edge table rows to unique integer identifiers, to enable construction of in-memory representation of a graph from existing, unmodified RDBMS tables. The unique integer identifiers are based on an encoding of primary key values of the table rows. The unique integer identifiers are used as graph indexes of the in-memory representation.
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公开(公告)号:US20220129465A1
公开(公告)日:2022-04-28
申请号:US17080719
申请日:2020-10-26
Applicant: Oracle International Corporation
Inventor: Vlad Haprian , Laurent Daynes , Zhen Hua Liu , Lei Sheng , Hugo Kapp , Marco Arnaboldi , Jean-Pierre Lozi , Andrew Witkowski , Hassan Chafi , Sungpack Hong
IPC: G06F16/2455 , G06F16/2453
Abstract: Techniques support graph pattern matching queries inside a relational database management system (RDBMS) that supports SQL execution. The techniques compile a graph pattern matching query into a SQL query that can then be executed by the relational engine. As a result, techniques enable execution of graph pattern matching queries on top of the relational engine by avoiding any change in the existing SQL engine.
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公开(公告)号:US20220129461A1
公开(公告)日:2022-04-28
申请号:US17080700
申请日:2020-10-26
Applicant: Oracle International Corporation
Inventor: Vlad Haprian , Laurent Daynes , Zhen Hua Liu , Lei Sheng , Hugo Kapp , Marco Arnaboldi , Jean-Pierre Lozi , Andrew Witkowski , Hassan Chafi , Sungpack Hong
IPC: G06F16/2453 , G06F16/901 , G06F16/2455
Abstract: Techniques support graph pattern matching queries inside a relational database management system (RDBMS) that supports SQL execution. The techniques compile a graph pattern matching query into a SQL query that can then be executed by the relational engine. As a result, techniques enable execution of graph pattern matching queries on top of the relational engine by avoiding any change in the existing SQL engine.
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公开(公告)号:US20210109967A1
公开(公告)日:2021-04-15
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:US10740358B2
公开(公告)日:2020-08-11
申请号:US14665171
申请日:2015-03-23
Applicant: Oracle International Corporation
Inventor: Eric S. Chan , Dieter Gawlick , Adel Ghoneimy , Zhen Hua Liu
Abstract: Embodiments of the invention provide systems and methods for managing and processing large amounts of complex and high-velocity data by capturing and extracting high-value data from low value data using big data and related technologies. Illustrative database systems described herein may collect and process data while extracting or generating high-value data. The high-value data may be handled by databases providing functions such as multi-temporality, provenance, flashback, and registered queries. In some examples, computing models and system may be implemented to combine knowledge and process management aspects with the near real-time data processing frameworks in a data-driven situation aware computing system.
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公开(公告)号:US20200242156A1
公开(公告)日:2020-07-30
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
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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10.
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.
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