Block aggregation for shared streams

    公开(公告)号:US11874821B2

    公开(公告)日:2024-01-16

    申请号:US17559783

    申请日:2021-12-22

    Applicant: eBay Inc.

    CPC classification number: G06F16/2365

    Abstract: The approaches presented herein may include loading a plurality of metadata instances for a plurality of data blocks stored in a database, each metadata instance of the plurality of metadata instances indicating a respective data block structure applied to aggregate a set of data messages. The approaches may include processing a first metadata instance corresponding to a first set of one or more data blocks of the plurality of data blocks and a second metadata instance corresponding to a second set of one or more data blocks of the plurality of data blocks to perform an anomaly storage check between the first set of one or more data blocks of the plurality of data blocks and the second set of one or more data blocks of the plurality of data blocks. The approaches may include generating an output based at least in part on the anomaly storage check.

    BLOCK AGGREGATION FOR SHARED STREAMS
    2.
    发明公开

    公开(公告)号:US20230195714A1

    公开(公告)日:2023-06-22

    申请号:US17559783

    申请日:2021-12-22

    Applicant: eBay Inc.

    CPC classification number: G06F16/2365

    Abstract: The approaches presented herein may include loading a plurality of metadata instances for a plurality of data blocks stored in a database, each metadata instance of the plurality of metadata instances indicating a respective data block structure applied to aggregate a set of data messages. The approaches may include processing a first metadata instance corresponding to a first set of one or more data blocks of the plurality of data blocks and a second metadata instance corresponding to a second set of one or more data blocks of the plurality of data blocks to perform an anomaly storage check between the first set of one or more data blocks of the plurality of data blocks and the second set of one or more data blocks of the plurality of data blocks. The approaches may include generating an output based at least in part on the anomaly storage check.

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