FACILITATING DATA MODEL ACCELERATION IN ASSOCIATION WITH AN EXTERNAL DATA SYSTEM

    公开(公告)号:US20170220685A1

    公开(公告)日:2017-08-03

    申请号:US15011361

    申请日:2016-01-29

    Applicant: Splunk Inc.

    Abstract: Embodiments of the present invention are directed to facilitating data model acceleration in association with an external data system. In accordance with aspects of the present disclosure, at a core engine, a search request associated with a data model is received. The data model generally designates one or more fields, from among a plurality of fields, that are of interest for subsequent searches. Thereafter, it is determined that an accelerated data model summary associated with the data model is stored at an external data system remote from the core engine that received the search request. The accelerated data model summary includes field values associated with the one or more fields designated in the data model. A search for the received search request is initiated using the accelerated data model summary at the external data. A set of search results relevant to the search request is obtained and provided to a user device for display to a user.

    ENHANCED SEARCH PERFORMANCE USING DATA MODEL SUMMARIES STORED IN A REMOTE DATA STORE

    公开(公告)号:US20220245093A1

    公开(公告)日:2022-08-04

    申请号:US17163047

    申请日:2021-01-29

    Applicant: SPLUNK INC.

    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, obtaining a search query from a user device. A determination may be made to execute a search, in association with the search query, via an external computing service. As such, the search query, or a variant thereof, can be provided to the external computing service, wherein the external computing service executes the search using data model summaries stored in a remote data store that is separate from a set of events from which the data model summaries were generated. A set of search results are received from the external computing service, and such search results are provided to the user device.

    TRIGGERING GENERATION OF AN ACCELERATED DATA MODEL SUMMARY FOR A DATA MODEL

    公开(公告)号:US20200334309A1

    公开(公告)日:2020-10-22

    申请号:US16900628

    申请日:2020-06-12

    Applicant: SPLUNK INC.

    Abstract: Embodiments of the present invention are directed to facilitating data model acceleration in association with an external data system. In accordance with aspects of the present disclosure, at a core engine, a search request associated with a data model is received. The data model generally designates one or more fields, from among a plurality of fields, that are of interest for subsequent searches. Thereafter, it is determined that an accelerated data model summary associated with the data model is stored at an external data system remote from the core engine that received the search request. The accelerated data model summary includes field values associated with the one or more fields designated in the data model. A search for the received search request is initiated using the accelerated data model summary at the external data. A set of search results relevant to the search request is obtained and provided to a user device for display to a user.

    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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