- Patent Title: Determining timestamps to be associated with events in machine data
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Application No.: US17589818Application Date: 2022-01-31
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Publication No.: US11526482B2Publication Date: 2022-12-13
- Inventor: Michael Joseph Baum , R. David Carasso , Robin Kumar Das , Rory Greene , Bradley Hall , Nicholas Christian Mealy , Brian Philip Murphy , Stephen Phillip Sorkin , Andre David Stechert , Erik M. Swan
- Applicant: Splunk Inc.
- Applicant Address: US CA San Francisco
- Assignee: Splunk Inc.
- Current Assignee: Splunk Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Knobbe, Martens, Olson & Bear, LLP
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/22 ; G06F16/248 ; G06F16/951 ; G06F16/23 ; G06F16/2458 ; G06F16/2455 ; G06F16/2457

Abstract:
Methods and apparatus are disclosed to automatically timestamp events within streaming machine data. The streaming machine data is broken into a set of events using breaking rules. Each event can be analyzed by iterating over own time stamp format patterns from a list of known time stamp format patterns to determine whether a matching pattern exists in the event. When an individual event broken out from the streaming machine data includes time information according to at least one known time stamp format pattern of the list of known time stamp format patterns, a timestamp can be created for the event by extracting a time value from event ng the matching pattern determined to exist in the event.
Public/Granted literature
- US20220156244A1 DETERMINING TIMESTAMPS TO BE ASSOCIATED WITH EVENTS IN MACHINE DATA Public/Granted day:2022-05-19
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