Generating visualizations for search results data containing multiple data dimensions

    公开(公告)号:US10565220B2

    公开(公告)日:2020-02-18

    申请号:US15421408

    申请日:2017-01-31

    Applicant: Splunk Inc.

    Abstract: Techniques and mechanisms are disclosed for generating and causing display of graphical interfaces which enable an interactive and flexible search results visualization process. Based on results data identified in response to execution of a search query, an interface element is displayed which enables users to select a field contained in the results data, also referred to herein as a “dimension” or “facet,” and for which a “faceted” visualization of the results data can be dynamically generated and displayed. As used herein, a faceted visualization refers to a graphical interface including display of at least two separate data visualizations generated based on a selected facet data dimension, where each separate data visualization corresponds to a distinct value of the selected facet dimension.

    REASSIGNING PROCESSING TASKS TO AN EXTERNAL STORAGE SYSTEM

    公开(公告)号:US20200050607A1

    公开(公告)日:2020-02-13

    申请号:US16657894

    申请日:2019-10-18

    Applicant: Splunk Inc.

    Abstract: Systems and methods are described for reducing execution time of a query that references external data systems. The system can determine an external data system is capable of processing one or more map or reduce phases of a map-reduce operation. When it is determined that the external data system can process a map or reduce phase, associated operations may be reassigned from the system to the external data system reducing the processing resources used by the system to response to the query and, in some cases, speeding up performance of the query.

    PRECISE SCALING OF VIRTUAL OBJECTS IN AN EXTENDED REALITY ENVIRONMENT

    公开(公告)号:US20200043244A1

    公开(公告)日:2020-02-06

    申请号:US16051340

    申请日:2018-07-31

    Applicant: Splunk Inc.

    Abstract: A mobile device is fitted with a camera and an extended reality (XR) software application program executing on a processor within an XR system. Via the XR software application program, various techniques are performed for manipulating virtual objects in an XR environment. In a first technique, the XR software application program facilitates the movement of a virtual object from a first location to a second location. In a second technique, the XR software application program facilitates the rotation of a virtual object. In a third technique, the XR software application program facilitates the scaling of a virtual object along one or more axes.

    DETERMINING AN EXTRACTION RULE FROM POSITIVE AND NEGATIVE EXAMPLES

    公开(公告)号:US20200034414A1

    公开(公告)日:2020-01-30

    申请号:US16589445

    申请日:2019-10-01

    Applicant: SPLUNK INC.

    Abstract: The technology disclosed relates to formulating and refining field extraction rules that are used at query time on raw data with a late-binding schema. The field extraction rules identify portions of the raw data, as well as their data types and hierarchical relationships. These extraction rules are executed against very large data sets not organized into relational structures that have not been processed by standard extraction or transformation methods. By using sample events, a focus on primary and secondary example events help formulate either a single extraction rule spanning multiple data formats, or multiple rules directed to distinct formats. Selection tools mark up the example events to indicate positive examples for the extraction rules, and to identify negative examples to avoid mistaken value selection. The extraction rules can be saved for query-time use, and can be incorporated into a data model for sets and subsets of event data.

    Multi-phased data execution in a data processing system

    公开(公告)号:US10545964B2

    公开(公告)日:2020-01-28

    申请号:US15419883

    申请日:2017-01-30

    Applicant: Splunk Inc.

    Abstract: The disclosed embodiments include a method performed by a data intake and query system. The method includes receiving a search query by a search head, defining a search process for applying the search query to indexers, delegating a first portion of the search process to indexers and a second portion of the search process to intermediary node(s) communicatively coupled to the search head and the indexers. The first portion can define a search scope for obtaining partial search results of the indexers and the second portion can define operations for combining the partial search results by the intermediary node(s) to produce a combination of the partial search results. The search head then receives the combination of the partial search results, and outputs final search results for the search query, where the final search results are based on the combination of the partial search results.

    Data recovery in a multi-pipeline data forwarder

    公开(公告)号:US10545838B2

    公开(公告)日:2020-01-28

    申请号:US16038683

    申请日:2018-07-18

    Applicant: SPLUNK INC.

    Abstract: In accordance with implementations of the present disclosure, a backup of live data received by a data forwarder is generated at the data forwarder while the live data is provided to a real-time data pipeline for forwarding from the data forwarder. A first portion of the live data is recovered from the backup to a stale data pipeline of the data forwarder. A request to forward the live data to a destination node is received by the data forwarder. In response to the request data is forwarded to the destination node, where the first portion of the live data from the stale data pipeline is added to a second portion of the live data from the real-time data pipeline in the response based on determining headroom remains to reach an amount of the data identified to include in the response.

    WIZARD FOR CONFIGURING A FIELD EXTRACTION RULE
    330.
    发明申请

    公开(公告)号:US20200012715A1

    公开(公告)日:2020-01-09

    申请号:US16541637

    申请日:2019-08-15

    Applicant: SPLUNK INC.

    Abstract: The technology disclosed relates to formulating and refining field extraction rules that are used at query time on raw data with a late-binding schema. The field extraction rules identify portions of the raw data, as well as their data types and hierarchical relationships. These extraction rules are executed against very large data sets not organized into relational structures that have not been processed by standard extraction or transformation methods. By using sample events, a focus on primary and secondary example events help formulate either a single extraction rule spanning multiple data formats, or multiple rules directed to distinct formats. Selection tools mark up the example events to indicate positive examples for the extraction rules, and to identify negative examples to avoid mistaken value selection. The extraction rules can be saved for query-time use, and can be incorporated into a data model for sets and subsets of event data.

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