Query translation for an external data system

    公开(公告)号:US12141137B1

    公开(公告)日:2024-11-12

    申请号:US17816132

    申请日:2022-07-29

    Applicant: Splunk Inc.

    Abstract: A computing device can receive a query in a first query language that identifies a set of data to be processed and determine that at least a portion of the set of data resides in an external data system that uses a different query language. The query system can translate the query in the first query language in to a second query language for the external data system. In translating the query, the computing device may translate one or more time-based query commands into the second query language.

    FACILITATING GENERATION OF DATA MODEL SUMMARIES

    公开(公告)号:US20220245091A1

    公开(公告)日:2022-08-04

    申请号:US17163039

    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, 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.

    Triggering generation of an accelerated data model summary for a data model

    公开(公告)号:US11144608B2

    公开(公告)日:2021-10-12

    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 data model acceleration in association with an external data system

    公开(公告)号:US10713314B2

    公开(公告)日:2020-07-14

    申请号:US15011361

    申请日:2016-01-29

    Applicant: Splunk Inc.

    Abstract: Embodiments are directed to facilitating data model acceleration in association with an external data system. In some embodiments, 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 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.

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