Below is my data
2019-12-03 14:20:55,679 ------------------ Begin Request -----------------
How do I extract begin time 14:20:55 from the above log data?
Hi
Try this
| makeresults
| eval temp="2019-12-03 14:20:55,679 ------------------ Begin Request -----------------"
| rex field=temp "\d{4}-\d{2}-\d{2}\s(?P<beginTime>\d{2}:\d{2}:\d{2})"
Hi
Try this
| makeresults
| eval temp="2019-12-03 14:20:55,679 ------------------ Begin Request -----------------"
| rex field=temp "\d{4}-\d{2}-\d{2}\s(?P<beginTime>\d{2}:\d{2}:\d{2})"
Thank you this one worked.
Also I don't want to hardcode the time in the search, as it is not for one transaction, how to I do that ?
Like this:
... | eval begin=strptime(_raw, "%Y-%m-%d %H:%M:%S,%3N")
is _raw field that hold values of time ? if so then it returns raw data it doesn't return the time
If you're sure that is the raw format for all of your logs, you can write a simple regex leveraging the rex
command https://docs.splunk.com/Documentation/Splunk/8.0.0/SearchReference/Rex#Syntax. Rough example syntax below:
{code}
| makeresults count=1
| eval _raw="2019-12-03 14:20:55,679 ------------------ Begin Request -----------------"
| rex field=_raw ".\s(?.),.*"
{code}
If you run this code, you can see that I generate a similar event to the line you posted above, and then run the rex
command with a capturing group around "timeStamp", which is anything after the first whitespace up until the first comma. For your case you don't need to generate the _raw field as that is just a representation of the log you already have on your machine.
Why I call this "rough" syntax is you want to make sure the regex works for all of your log formats, so this means either running it against multiple logs and making sure that the timeStamp field is always populated or iterating on the regex (I like regex101.com for that, it has a workspace and good tips on the side) since you will have access to more log information than me. In general, using the rex
command is a great way to extract information from a string in Splunk though!
Hope this helps!
I don't want to hardcode the time, as I am searching for multiple transactions