Hello All,
I'm outputting VMware esxtop data to a csv and was wondering if splunk was the right tool to index and use the data.
I've got esxtop dumping a csv with 30 minutes of data. The csv has a header row.
Each of the columns represents a metric/stat/counter being gathered.
The "events" in this case are timestamps of resource utilization/performance data.
Is splunk the right tool for this, or should I be looking elsewhere?
Thanks,
db
You can do automatic field extraction based on the CSV headers, but it is a bit gawky. Here's the documentation on Extract fields from file headers
I hope this doesn't cause more questions than it answers, but feel free to post the questions here!
Is there a way to do this automatically - there are thousands of columns.
I have a header row in csv format - can't I just tell extraction to follow the header row as far as field classification goes? Each non-header row follows the same regex pattern.
The way I see it now I have to manually create each field.
Apologies on my splunk illiteracy.
Yes, Splunk can handle the data just fine, just build your extractions.