All events I have look like the JSON I posted below. For more information about working with dates and time, see. Additionally, you can use the relativetime () and now () time functions as arguments. You can also use these variables to describe timestamps in event data. The reason you are losing events, if splunk encounters items that do not follow the transaction start and end conditions, the event is 'evicted' from the stream. duration, 1245, Timespan (in milliseconds) of the series of events included in this series. VacuumTask | 03-04-2020 08:00 am | 03-05-2020 08:00 am. This topic lists the variables that you can use to define time formats in the evaluation functions, strftime () and strptime (). (actionId, timestamp) A given transaction should flow from actionId 1 to 6 with the timestamp in the body and not the timestamp of the event. If your Timestamp field is the same as the time field in each event, the work is already done for you. VacuumTask | 03-04-2020 08:00 am| 03-05-2020 08:00 am| 24 hours | 10 | 55īut also I have more functions like this for other features so my end table would like this: Function | Startime | Endtime | TimeProcessing | ServerCount. Transaction automatically creates a field called duration that is the difference between the earliest and latest events in the transaction. That consistent state cannot be lost, even in the event of a. I am looking for a result like this: Function | Startime | Endtime | TimeProcessing | ServerCount | DB Count When a transaction is completed, then the database reaches a state known as the consistent state. I have multiple events in a server that I would like to get the timestamp from the very first transaction and the timestamp from the very last transaction for each feature, then get the timestamp difference between them in hours, in a table format.
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