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    Quality-driven processing of out-of-order data streams
    1.
    发明授权
    Quality-driven processing of out-of-order data streams 有权

    公开(公告)号：US10311061B2

    公开(公告)日：2019-06-04

    申请号：US14935009

    申请日：2015-11-06

    Applicant: SAP SE

    Inventor： Yuanzhen Ji ,  Zbigniew Jerzak ,  Anisoara Nica ,  Gregor Hackenbroich

    IPC: G06F17/30 ,  G06F7/00 ,  G06F16/2455

    Abstract: The present disclosure involves systems, software, and computer implemented methods for providing quality-driven processing of out-of-order data streams based on a configurable quality metric. In one example, the method includes identifying a configurable quality metric defined by a user or application for executing continuous queries over a sliding window, the metric specifying a user requirement for the quality of the continuous query result. A quality threshold metric is calculated based on the configurable quality metric, the configurable quality metric associated with a size of an adaptation buffer for incoming tuples of the query. In response to receiving a signal indicating a new query result, a sliding window prior to a current time is identified. A runtime quality metric associated with the incoming tuples for the sliding window is measured, and the adaptation buffer is modified based on a difference between the quality threshold metric and the measured runtime quality metric.

    Automatic extension of a partially-editable dataset copy
    2.
    发明授权
    Automatic extension of a partially-editable dataset copy 有权

    公开(公告)号：US12282472B1

    公开(公告)日：2025-04-22

    申请号：US18598195

    申请日：2024-03-07

    Applicant: SAP SE

    Inventor： Jan Rittinger ,  Johannes Meinecke ,  Gregor Hackenbroich ,  Richard Pilz ,  Katja Pfeifer ,  Tom Spiegler ,  Franz Josef Grueneberger

    IPC: G06F16/23

    Abstract: The present disclosure involves systems, software, and computer implemented methods for automatically extending a partially-editable dataset copy. One example method includes identifying, for a data set, extension filter criteria that extends a current filter that defines an editable portion of the data set. An extended filter is automatically generated for the data set based on the extension filter criteria and the current filter. Additional data is copied into the partially-editable copy of the data set based on the extended filter and the current filter to generate an updated partially-editable copy of the data set. The current filter is replaced with the extended filter to create a new current filter. An updated exposed view is generated using the new current filter that exposes the updated partially-editable copy of the data set and an updated non-editable portion of the data set.

    QUALITY-DRIVEN PROCESSING OF OUT-OF-ORDER DATA STREAMS
    6.
    发明申请
    QUALITY-DRIVEN PROCESSING OF OUT-OF-ORDER DATA STREAMS 审中-公开

    公开(公告)号：US20170132285A1

    公开(公告)日：2017-05-11

    申请号：US14935009

    申请日：2015-11-06

    Applicant: SAP SE

    Inventor： Yuanzhen Ji ,  Zbigniew Jerzak ,  Anisoara Nica ,  Gregor Hackenbroich

    IPC: G06F17/30

    CPC classification number: G06F17/30516

    Abstract: The present disclosure involves systems, software, and computer implemented methods for providing quality-driven processing of out-of-order data streams based on a configurable quality metric. In one example, the method includes identifying a configurable quality metric defined by a user or application for executing continuous queries over a sliding window, the metric specifying a user requirement for the quality of the continuous query result. A quality threshold metric is calculated based on the configurable quality metric, the configurable quality metric associated with a size of an adaptation buffer for incoming tuples of the query. In response to receiving a signal indicating a new query result, a sliding window prior to a current time is identified. A runtime quality metric associated with the incoming tuples for the sliding window is measured, and the adaptation buffer is modified based on a difference between the quality threshold metric and the measured runtime quality metric.

    Optimization of continuous queries in hybrid database and stream processing systems
    8.
    发明授权
    Optimization of continuous queries in hybrid database and stream processing systems 有权

    公开(公告)号：US10216793B2

    公开(公告)日：2019-02-26

    申请号：US14931005

    申请日：2015-11-03

    Applicant: SAP SE

    Inventor： Yuanzhen Ji ,  Zbigniew Jerzak ,  Anisoara Nica ,  Gregor Hackenbroich

    IPC: G06F17/30

    Abstract: The present disclosure involves systems, software, and computer implemented methods for optimizing continuous queries for hybrid execution over a stream processing engine and an in-memory database. In one example, a method may include identifying a continuous query executed at a stream processing engine, the continuous query including a plurality of operators. An optimal plan for execution of the identified continuous query at the stream processing engine is determined. For each of the plurality of operators in the determined optimal plan, an optimized placement decision for executing a particular operator in the stream processing engine or at a database system is determined. An optimized continuous query is generated from the identified continuous query based on the determined optimal placement decisions for each of the plurality of operators in the determined optimal plan. The optimized continuous query is then executed at the stream processing engine and the database system.

    OPTIMIZATION OF CONTINUOUS QUERIES IN HYBRID DATABASE AND STREAM PROCESSING SYSTEMS
    9.
    发明申请
    OPTIMIZATION OF CONTINUOUS QUERIES IN HYBRID DATABASE AND STREAM PROCESSING SYSTEMS 审中-公开

    公开(公告)号：US20170124151A1

    公开(公告)日：2017-05-04

    申请号：US14931005

    申请日：2015-11-03

    Applicant: SAP SE

    Inventor： Yuanzhen Ji ,  Zbigniew Jerzak ,  Anisoara Nica ,  Gregor Hackenbroich

    IPC: G06F17/30

    CPC classification number: G06F17/30463 ,  G06F17/30516

    Abstract: The present disclosure involves systems, software, and computer implemented methods for optimizing continuous queries for hybrid execution over a stream processing engine and an in-memory database. In one example, a method may include identifying a continuous query executed at a stream processing engine, the continuous query including a plurality of operators. An optimal plan for execution of the identified continuous query at the stream processing engine is determined. For each of the plurality of operators in the determined optimal plan, an optimized placement decision for executing a particular operator in the stream processing engine or at a database system is determined. An optimized continuous query is generated from the identified continuous query based on the determined optimal placement decisions for each of the plurality of operators in the determined optimal plan. The optimized continuous query is then executed at the stream processing engine and the database system.

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