US 12,001,426 B1
Supporting graph data structure transformations in graphs generated from a query to event data
Chandrashekar Basavaiah, San Ramon, CA (US); Elizabeth Li, Oakland, CA (US); Eric Tschetter, Redwood City, CA (US); and Joshua Walters, San Francisco, CA (US)
Assigned to Splunk Inc., San Francisco, CA (US)
Filed by Splunk Inc., San Francisco, CA (US)
Filed on Apr. 4, 2023, as Appl. No. 18/295,567.
Application 18/295,567 is a continuation of application No. 17/653,626, filed on Mar. 4, 2022, granted, now 11,625,394.
Application 17/653,626 is a continuation of application No. 16/864,029, filed on Apr. 30, 2020, granted, now 11,269,876, issued on Mar. 8, 2022.
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 9/44 (2018.01); G06F 8/77 (2018.01); G06F 16/21 (2019.01); G06F 16/2452 (2019.01)
CPC G06F 16/24526 (2019.01) [G06F 8/77 (2013.01); G06F 16/212 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
executing a query against a data store storing event data obtained from a computing environment, wherein the data store stores the event data as unstructured data, wherein the query obtains from the data store events describing one or more sequences of related steps performed in the computing environment, and wherein results from execution of the query represent the one or more sequences of related steps as structured data;
modifying the structured data according to a transformation to produce modified structured data, the modified structured data representing a modified version of the one or more sequences of related steps, wherein modifying the structured data includes modifying events making up the one or more sequences of related steps; and
outputting a graphical representation of the modified version of the one or more sequences of related steps.