COMPUTING AND REPLICATING EVENT DELTAS FOR MUTABLE EVENTS IN A DISTRIBUTED SYSTEM

    公开(公告)号:US20180314726A1

    公开(公告)日:2018-11-01

    申请号:US15582458

    申请日:2017-04-28

    Applicant: SPLUNK INC.

    Abstract: The present disclosure provides solutions for determining the divergence (delta) between the current and previous reference data structures for mutable data in a search head. A method is provided that includes updating a pre-existing lookup table in a search head, generating a delta file that identifies the divergence between the updated and previous lookup table, and distributing the delta file to other components in the search environment. The compatibility of the delta file is checked with the local instance of the lookup table in each search component, and the lookup table is applied if compatibility is determined. However, if the delta file is determined to not be compatible with the current version of a local lookup table in an indexer, the entire lookup table sent to the requesting indexer instead.

    Facilitating generation of data model summaries

    公开(公告)号:US11841827B2

    公开(公告)日:2023-12-12

    申请号:US17163039

    申请日:2021-01-29

    Applicant: SPLUNK INC.

    CPC classification number: G06F16/13 G06F16/1824

    Abstract: Embodiments described herein facilitate enhancement of data model acceleration, including generating data model summaries and performing searches in an accelerated manner. In one implementation, a set of events are indexed, each of the events having a corresponding index time representing a time at which the event was indexed in an indexer. Index time parameters including an index earliest time indicating a first index time at which to begin generating a data model summary and an index latest time indicating a second index time at which to complete generating the data model summary are obtained. Thereafter, a data model summary is generated. Such a data model summary summarizes events having corresponding index times between the index earliest time and the index latest time. The data model summary is provided to a remote data store that is separate from the indexer at which at least a portion of the events were indexed.

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