IP Library Granted Patent US 11,928,118
Granted Patent B2
US 11,928,118 · App. 17/833,816 · Granted Mar 12, 2024

Generating a correlation search

Inventors: Lucas Murphey (Wadsworth, IL); David Hazekamp (Tinley Park, IL)
Assignee: Splunk Inc.
G06F16/24578G06F16/215G06F16/22G06F16/2358G06F16/24565G06F16/2477G06F16/951
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Quick Facts
Patent No.
US 11,928,118
App. No.
17/833,816
Granted
Mar 12, 2024
Kind
B2
Abstract

Systems and methods for assigning scores to objects based on evaluating triggering conditions applied to datasets produced by search queries in data aggregation and analysis systems. An example method includes causing display of a user interface for generating a correlation search, the correlation search comprising a search query, a triggering condition to be applied to a dataset produced by the search query, and one or more actions to be performed when the dataset produced by the search query satisfies the triggering condition, wherein the one or more actions comprise at least modifying a score assigned to an object to which the dataset produced by the search query pertains. The example method also includes receiving, via the user interface, user input identifying the one or more actions to be performed when the dataset produced by the search query satisfies the triggering condition, the one or more actions comprising modifying the score assigned to the object, and causing generation of the correlation search based on the user input, the correlation search reflecting an association between the one or more actions and the triggering condition.

Claims (46)

1. A computer-implemented method comprising:

causing display of a user interface for generating a correlation search, the correlation search comprising a search query, a triggering condition to be applied to a dataset produced by the search query, and one or more actions to be performed when the dataset produced by the search query satisfies the triggering condition, wherein the one or more actions comprise at least modifying a score assigned to an object to which the dataset produced by the search query pertains;

receiving, via the user interface for generating the correlation search, user input identifying the one or more actions to be performed when the dataset produced by the search query satisfies the triggering condition, the one or more actions comprising modifying the score assigned to the object; and

causing generation of the correlation search based on the user input, the correlation search reflecting an association between the one or more actions and the triggering condition.

2. The computer-implemented method of claim 1 , wherein the user input further indicates one or more search criteria for the search query, and the triggering condition to be applied to the dataset produced by the search query.

3. The computer-implemented method of claim 1 , further comprising:

causing display in the user interface of a plurality of statistics types to be used for producing an aggregate on data;

receiving, through the user interface, input identifying a statistics type of the plurality of statistics types;

receiving input identifying an evaluation of the aggregate produced by the statistics type; and

wherein causing generation of the correlation search comprises including the evaluation of the aggregate produced by the statistics type in at least one of the search query or the triggering condition of the correlation search.

4. The computer-implemented method of claim 1 , wherein causing generation of the correlation search comprises:

displaying, in the user interface, options for the one or more actions to be performed when the dataset produced by the search query satisfies the triggering condition;

receiving input identifying the one or more actions to be performed; and

associating the one or more actions with the triggering condition.

5. The computer-implemented method of claim 1 , wherein the one or more actions further comprise one or more of updating a display with an entry corresponding to satisfaction of the triggering condition, or sending a notification indicating satisfaction of the triggering condition.

6. The computer-implemented method of claim 1 , wherein the user interface comprises one or more graphical user interface (GUI) elements to receive input identifying a time range, the time range defining a scope of data to be searched using the search query.

7. The computer-implemented method of claim 1 , wherein the search query corresponds to a search language that uses a late binding schema.

8. The computer-implemented method of claim 1 , further comprising causing execution of the search query against raw machine data.

9. The computer-implemented method of claim 1 , further comprising causing execution of the search query against time-stamped events that each include a portion of raw machine data.

10. The computer-implemented method of claim 1 , wherein a calculation of a statistics type is included in the search query.

11. The computer-implemented method of claim 1 , wherein an evaluation of a calculation of a statistics type is included in the search query.

12. The computer-implemented method of claim 1 , wherein the dataset satisfies the triggering condition each time the dataset includes an indicator that search criteria of the search query are satisfied.

13. The computer-implemented method of claim 1 , wherein the dataset includes a number of times search criteria of the search query are satisfied, and the dataset satisfies the triggering condition when the number of times exceeds a threshold.

14. The computer-implemented method of claim 1 , wherein the dataset satisfies the triggering condition when an aggregated statistic pertaining to the dataset exceeds a threshold, is under a threshold, or is within a specified range.

15. A system comprising:

a memory; and

a processing device coupled with the memory to:

cause display of a user interface for generating a correlation search, the correlation search comprising a search query, a triggering condition to be applied to a dataset produced by the search query, and one or more actions to be performed when the dataset produced by the search query satisfies the triggering condition, wherein the one or more actions comprise at least modifying a score assigned to an object to which the dataset produced by the search query pertains;

receive, via the user interface for generating the correlation search, user input identifying the one or more actions to be performed when the dataset produced by the search query satisfies the triggering condition, the one or more actions comprising modifying the score assigned to the object; and

cause generation of the correlation search based on the user input, the correlation search reflecting an association between the one or more actions and the triggering condition.

16. The system of claim 15 , wherein the user input further indicates one or more search criteria for the search query, and the triggering condition to be applied to the dataset produced by the search query.

17. The system of claim 15 , wherein the processing device is further to:

cause display in the user interface of a plurality of statistics types to be used for producing an aggregate on data;

receive, through the user interface, input identifying a statistics type of the plurality of statistics types;

receive input identifying an evaluation of the aggregate produced by the statistics type; and

wherein to cause generation of the correlation search, the processing device is further to include the evaluation of the aggregate produced by the statistics type in at least

one of the search query or the triggering condition of the correlation search.

18. A non-transitory computer readable storage medium encoding instructions thereon that, in response to execution by one or more processing devices, cause the one or more processing device to perform operations comprising:

causing display of a user interface for generating a correlation search, the correlation search comprising a search query, a triggering condition to be applied to a dataset produced by the search query, and one or more actions to be performed when the dataset produced by the search query satisfies the triggering condition, wherein the one or more actions comprise at least modifying a score assigned to an object to which the dataset produced by the search query pertains;

receiving, via the user interface for generating the correlation search, user input identifying the one or more actions to be performed when the dataset produced by the search query satisfies the triggering condition, the one or more actions comprising modifying the score assigned to the object; and

causing generation of the correlation search based on the user input, the correlation search reflecting an association between the one or more actions and the triggering condition.

19. The non-transitory computer-readable storage medium of claim 18 , wherein causing generation of the correlation search comprises:

displaying, in the user interface, options for the one or more actions to be performed when the dataset produced by the search query satisfies the triggering condition;

receiving input identifying the one or more actions to be performed; and

associating the one or more actions with the triggering condition.

20. The non-transitory computer-readable storage medium of claim 18 , wherein the one or more actions further comprise one or more of updating a display with an entry corresponding to satisfaction of the triggering condition, or sending a notification indicating satisfaction of the triggering condition.

Assignments (4)
CHANGE OF NAME Recorded Jul 22, 2025
From: SPLUNK INC.
To: SPLUNK LLC
Reel/Frame 072170/0599 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 22, 2025
From: SPLUNK LLC
To: CISCO TECHNOLOGY, INC.
Reel/Frame 072173/0058 →
CHANGE OF NAME Recorded Jan 6, 2025
From: SPLUNK INC.
To: SPLUNK LLC
Reel/Frame 069825/0782 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 1, 2022
From: MURPHEY, LUCAS; HAZEKAMP, DAVID
To: SPLUNK INC.
Reel/Frame 060689/0936 →
Continuity (5)
Continuation 16715015 · Dec 16, 2019
Continuation 14977432 · Dec 21, 2015
Continuation 14447995 · Jul 31, 2014
Provisional Application 62027239 · Jul 21, 2014
Related Publication 20220300522A1 · Sep 22, 2022