Automatic rule modification
    5.
    发明授权

    公开(公告)号:US11030229B2

    公开(公告)日:2021-06-08

    申请号:US15582670

    申请日:2017-04-29

    Applicant: SPLUNK INC.

    Abstract: Embodiments are directed towards real time display of event records and extracted values based on at least one extraction rule, such as a regular expression. A user interface may be employed to enable a user to have an extraction rule automatically generate and/or to manually enter an extraction rule. The user may be enabled to manually edit a previously provided extraction rule, which may result in real time display of updated extracted values. The extraction rule may be utilized to extract values from each of a plurality of records, including event records of unstructured machine data. Statistics may be determined for each unique extracted value, and may be displayed to the user in real time. The user interface may also enable the user to select at least one unique extracted value to display those event records that include an extracted value that matches the selected value.

    DISPLAYING EVENT RECORDS WITH EMPHASIZED FIELDS

    公开(公告)号:US20210004205A1

    公开(公告)日:2021-01-07

    申请号:US17028755

    申请日:2020-09-22

    Applicant: SPLUNK INC.

    Abstract: Embodiments are directed towards real time display of event records with an indication of previously provided extraction rules. A plurality of extraction rules may be provided to the system, such as automatically generated and/or user created extraction rules. These extraction rules may include regular expressions. A plurality of event records may be displayed to the user, such that text in a field defined by an extraction rule is emphasized in the display of the event record. The same emphasis may be provided for text in overlapping fields, or the emphasis may be somewhat different for different fields. The user interface may enable a user to select a portion of text of an event record, such as by rolling-over or clicking on an emphasized part of the event record. By selecting the portion of the event record, the interface may display each extraction rule associated with the selected portion.

    Determining rules based on text
    8.
    发明授权

    公开(公告)号:US10831804B2

    公开(公告)日:2020-11-10

    申请号:US15582671

    申请日:2017-04-29

    Applicant: SPLUNK, Inc.

    Abstract: Embodiments are directed towards real time display of event records and extracted values based on at least one extraction rule, such as a regular expression. A user interface may be employed to enable a user to have an extraction rule automatically generate and/or to manually enter an extraction rule. The user may be enabled to manually edit a previously provided extraction rule, which may result in real time display of updated extracted values. The extraction rule may be utilized to extract values from each of a plurality of records, including event records of unstructured machine data. Statistics may be determined for each unique extracted value, and may be displayed to the user in real time. The user interface may also enable the user to select at least one unique extracted value to display those event records that include an extracted value that matches the selected value.

    SELECTION OF A REPRESENTATIVE DATA SUBSET OF A SET OF UNSTRUCTURED DATA

    公开(公告)号:US20200159741A1

    公开(公告)日:2020-05-21

    申请号:US16751063

    申请日:2020-01-23

    Applicant: SPLUNK INC.

    Abstract: Embodiments are directed towards generating a representative sampling as a subset from a larger dataset that includes unstructured data. A graphical user interface enables a user to provide various data selection parameters, including specifying a data source and one or more subset types desired, including one or more of latest records, earliest records, diverse records, outlier records, and/or random records. Diverse and/or outlier subset types may be obtained by generating clusters from an initial selection of records obtained from the larger dataset. An iteration analysis is performed to determine whether a sufficient number of clusters and/or cluster types have been generated that exceed at least one threshold and when not exceeded, additional clustering is performed on additional records. From the resultant clusters, and/or other subtype results, a subset of records is obtained as the representative sampling subset.

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