Enhanced data extraction via efficient extraction rule matching

    公开(公告)号:US11977523B1

    公开(公告)日:2024-05-07

    申请号:US16859203

    申请日:2020-04-27

    Applicant: SPLUNK INC.

    CPC classification number: G06F16/211

    Abstract: Embodiments of the present invention are directed to facilitating performing data extraction via efficient extraction rule matching. Generally, an extraction rule can be determined to match an event based on a two-step process. In particular, initially, a determination that a set of fixed substrings associated with the extraction rule matches fixed substrings of the event can be made. Based on fixed substring match, a determination can be made that a set of fields associated with the extraction rule matches fields of the event. In such a case, the extraction rule can be deemed to match the event and used to extract values from the event.

    System and method for storage of data utilizing a persistent queue

    公开(公告)号:US11755531B1

    公开(公告)日:2023-09-12

    申请号:US17584114

    申请日:2022-01-25

    Applicant: Splunk Inc.

    Abstract: A computerized method is disclosed for storing data using a persistent queue. The computerized method includes operations of obtaining machine data from a remote electronic device, providing the machine data to a persistent queue component, wherein the persistent queue component organizes the machine data for storage on a first data store and storing a copy of the organized machine data in the first data store, and responsive to completion of the storing of the copy of the organized machine data. Further operations include transmitting an acknowledgement communication to the remote electronic device indicating storage of the copy of the machine data in the first data store, processing the machine data for storage, and responsive to completion of the storing of the processed machine data in a second data store, deleting the copy of the machine data from the first data store. The persistent queue component may include a socket server.

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