Processing data associated with different tenant identifiers

    公开(公告)号:US11416465B1

    公开(公告)日:2022-08-16

    申请号:US16513378

    申请日:2019-07-16

    Applicant: Splunk Inc.

    Abstract: Systems and methods are described for processing incoming data. The system can receive, from a first partition manager of a data intake and query system, first data that is associated with a first identifier, and can receive, from a second partition manager of the data intake and query system, second data that is associated with a second identifier. The system can process the first data and store first results of said processing the first data in one or more first buckets associated with the first tenant identifier. The system can process the second data and store second results of said processing the second data in one or more second buckets associated with the second tenant identifier.

    Scalable bucket merging for a data intake and query system

    公开(公告)号:US11334543B1

    公开(公告)日:2022-05-17

    申请号:US16657924

    申请日:2019-10-18

    Applicant: Splunk Inc.

    Abstract: Systems and methods are disclosed for scalable bucket merging in a data intake and query system. Various components of a bucket manager can be used to monitor recently-created buckets of data in common storage that are associated with a particular tenant and a particular index, apply a comprehensive bucket merge policy to determine groups of buckets that qualify for merging, merge those group of buckets into merged buckets to be stored in the common storage, and update any information associated with the merged buckets and pre-merged buckets. These components may be shared across multiple tenants, and some of these components may be dynamically scalable based on need. This approach may also provide many additional benefits, including improved search performance from merged buckets, efficient resource utilization associated with discriminate merging, and redundancy in case of component failure.

    Dynamically assigning a search head and search nodes for a query

    公开(公告)号:US11157497B1

    公开(公告)日:2021-10-26

    申请号:US16513555

    申请日:2019-07-16

    Applicant: Splunk Inc.

    Abstract: Systems and methods are disclosed for dynamically assigning a search head or search nodes in a data intake and query system for a query received by the data intake and query system. Existing search heads and search nodes can periodically report their status to the data intake and query system, which can use that information to help determine the need to provision additional search heads and search nodes. The data intake and query system can receive a query identifying a set of data to be processed and a manner of processing the set of data. The data intake and query system can use the status information for existing search heads and search nodes to dynamically assign a search head and search nodes for the query. Dynamically assigning the search head and search nodes in this manner may provide many benefits, including improved load balancing and resource utilization.

    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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