Skewing of scheduled search queries

    公开(公告)号:US11755577B1

    公开(公告)日:2023-09-12

    申请号:US17857882

    申请日:2022-07-05

    Applicant: SPLUNK INC.

    Abstract: Techniques for scheduling search queries in a computing environment are disclosed. A search query scheduling system associates a first set of queries with a first skew tolerance, the first set of queries scheduled to be performed during a first period, where the first skew tolerance is based on a duration of the first period. The search query scheduling system reschedules a first subset of search queries included in the first set of queries by skewing the first subset of search queries over a first portion of the first period based on the first skew tolerance.

    Skewing of scheduled search queries

    公开(公告)号:US11379479B2

    公开(公告)日:2022-07-05

    申请号:US16904515

    申请日:2020-06-17

    Applicant: SPLUNK INC.

    Abstract: Techniques for scheduling search queries in a computing environment are disclosed. A search query scheduling system associates a first set of queries with a first skew tolerance, the first set of queries scheduled to be performed during a first period, where the first skew tolerance is based on a duration of the first period. The search query scheduling system reschedules a first subset of search queries included in the first set of queries by skewing the first subset of search queries over a first portion of the first period based on the first skew tolerance.

    INTERACTIVE DEVELOPMENT ENVIRONMENT FOR VISUALIZATION OF QUERIES AND QUERY RESULT INFORMATION

    公开(公告)号:US20190332599A1

    公开(公告)日:2019-10-31

    申请号:US16450845

    申请日:2019-06-24

    Applicant: Splunk Inc.

    Inventor: Eric Woo

    Abstract: Embodiments of the present disclosure are directed to an interactive development environment (IDE) interface that provides historical visualization of queries and query result information iteratively and intuitively. According to an embodiment of the present disclosure, a process is provided to generate visualizations of queries and processed query result information in a single, persistent, integrated display. Each query and resultant search data information is presented iteratively in chronological order, and maintain a persistent, viewable history of a search data exploration session.

    INTERACTIVE DEVELOPMENT ENVIRONMENT FOR ITERATIVE QUERY VISUALIZATION AND EXPLORATION

    公开(公告)号:US20180218046A1

    公开(公告)日:2018-08-02

    申请号:US15421172

    申请日:2017-01-31

    Applicant: Splunk Inc.

    Inventor: Eric Woo

    CPC classification number: G06F16/24564 G06F16/2477 G06F16/248

    Abstract: Embodiments of the present disclosure are directed to an interactive development environment (IDE) interface that provides historical visualization of queries and query result information iteratively and intuitively. According to an embodiment of the present disclosure, a process is provided to generate visualizations of queries and processed query result information in a single, persistent, integrated display. Each query and resultant search data information is presented iteratively in chronological order, thereby maintain a persistent, viewable history of a search data exploration session.

    CENTRAL REPOSITORY FOR STORING CONFIGURATION FILES OF A DISTRIBUTED COMPUTER SYSTEM

    公开(公告)号:US20170317882A1

    公开(公告)日:2017-11-02

    申请号:US15143472

    申请日:2016-04-29

    Applicant: Splunk Inc.

    Abstract: In a computer-implemented method for configuring a distributed computer system comprising a plurality of nodes of a plurality of node classes, configuration files for a plurality of nodes of each of the plurality of node classes are stored in a central repository. The configuration files include information representing a desired system state of the distributed computer system, and the distributed computer system operates to keep an actual system state of the distributed computer system consistent with the desired system state. The plurality of node classes includes forwarder nodes for receiving data from an input source, indexer nodes for indexing the data, and search head nodes for searching the data. Responsive to receiving changes to the configuration files, the changes are propagated to nodes of the plurality of nodes impacted by the changes based on a node class of the nodes impacted by the changes.

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