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    Language interoperable runtime adaptable data collections
    1.
    发明授权
    Language interoperable runtime adaptable data collections 有权

    公开(公告)号：US11593398B2

    公开(公告)日：2023-02-28

    申请号：US17067479

    申请日：2020-10-09

    Applicant: Oracle International Corporation

    Inventor： Iraklis Psaroudakis ,  Stefan Kaestle ,  Daniel J. Goodman ,  Jean-Pierre Lozi ,  Matthias Grimmer ,  Timothy L. Harris

    IPC: G06F9/455 ,  G06F16/27 ,  G06F9/54

    Abstract: Adaptive data collections may include various type of data arrays, sets, bags, maps, and other data structures. A simple interface for each adaptive collection may provide access via a unified API to adaptive implementations of the collection. A single adaptive data collection may include multiple, different adaptive implementations. A system configured to implement adaptive data collections may include the ability to adaptively select between various implementations, either manually or automatically, and to map a given workload to differing hardware configurations. Additionally, hardware resource needs of different configurations may be predicted from a small number of workload measurements. Adaptive data collections may provide language interoperability, such as by leveraging runtime compilation to build adaptive data collections and to compile and optimize implementation code and user code together. Adaptive data collections may also provide language-independent such that implementation code may be written once and subsequently used from multiple programming languages.

    Optimizing graph queries by performing early pruning
    4.
    发明授权
    Optimizing graph queries by performing early pruning 有权

    公开(公告)号：US11250059B2

    公开(公告)日：2022-02-15

    申请号：US16738972

    申请日：2020-01-09

    Applicant: ORACLE INTERNATIONAL CORPORATION

    Inventor： Arnaud Delamare ,  Vasileios Trigonakis ,  Jean-Pierre Lozi ,  Vlad Ioan Haprian ,  Petr Koupy ,  Hassan Chafi ,  Sungpack Hong

    IPC: G06F16/00 ,  G06F16/901 ,  G06F16/2453 ,  G06F16/903 ,  G06F16/9032

    Abstract: Techniques are described herein for early pruning of potential graph query results. Specifically, based on determining that property values of a path through graph data cannot affect results of a query, the path is pruned from a set of potential query solutions prior to fully exploring the path. Early solution pruning is performed on prunable queries that project prunable functions including MIN, MAX, SUM, and DISTINCT, the results of which are not tied to a number of paths explored for query execution. A database system implements early solution pruning for a prunable query based on intermediate results maintained for the query during query execution. Specifically, when a system determines that property values of a given potential solution path cannot affect the query results reflected in intermediate results maintained for the query, the path is discarded from the set of possible query solutions without further exploration of the path.

    LANGUAGE INTEROPERABLE RUNTIME ADAPTABLE DATA COLLECTIONS
    5.
    发明公开
    LANGUAGE INTEROPERABLE RUNTIME ADAPTABLE DATA COLLECTIONS 审中-公开

    公开(公告)号：US20230214407A1

    公开(公告)日：2023-07-06

    申请号：US18174535

    申请日：2023-02-24

    Applicant: Oracle International Corporation

    Inventor： Iraklis Psaroudakis ,  Stefan Kaestle ,  Daniel J. Goodman ,  Jean-Pierre Lozi ,  Matthias Grimmer ,  Timothy L. Harris

    IPC: G06F16/27 ,  G06F9/54 ,  G06F9/455

    CPC classification number: G06F16/27 ,  G06F9/54 ,  G06F9/45558 ,  G06F9/45516 ,  G06F2009/45583 ,  G06F2009/4557 ,  G06F2009/45595

    Abstract: Adaptive data collections may include various type of data arrays, sets, bags, maps, and other data structures. A simple interface for each adaptive collection may provide access via a unified API to adaptive implementations of the collection. A single adaptive data collection may include multiple, different adaptive implementations. A system configured to implement adaptive data collections may include the ability to adaptively select between various implementations, either manually or automatically, and to map a given workload to differing hardware configurations. Additionally, hardware resource needs of different configurations may be predicted from a small number of workload measurements. Adaptive data collections may provide language interoperability, such as by leveraging runtime compilation to build adaptive data collections and to compile and optimize implementation code and user code together. Adaptive data collections may also provide language-independent such that implementation code may be written once and subsequently used from multiple programming languages.

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