Splunk Search

creating Line chart with two custom fields

juancarlos_pola
Explorer

Hello, I am quite new using Splunk and I have a question, that might be already be solved before, but I just want to make sure.

I have two fields (numerical) extracted from a several log files from a server: load_avg & date_time. These log files are printed in 3 columns and I have taken the last 2 columns as each field (both numerical).
What I would like to do is to create a Line chart that has as the X axis (abscissa) the date_time and in the Y axis (ordinate) the load_avg (load average) in a way that each date_time coincides with each corresponding load_avg.

Please, let me know if you need any further information.

Thanks in advance.

Tags (2)
0 Karma
1 Solution

sk314
Builder

Have you tried using the chart command? http://docs.splunk.com/Documentation/Splunk/6.1.3/SearchReference/chart

like so: ... | chart avg(load_time) over date_time

You could look at the bucket options and use timechart command too.

View solution in original post

sk314
Builder

Have you tried using the chart command? http://docs.splunk.com/Documentation/Splunk/6.1.3/SearchReference/chart

like so: ... | chart avg(load_time) over date_time

You could look at the bucket options and use timechart command too.

sk314
Builder

It will return average of your load average....

on second thoughts (and further reading of the documentation!), May be what you need is the xyseries.
http://docs.splunk.com/Documentation/Splunk/latest/SearchReference/Xyseries

You may have to create a dummy field with the Y-axis label like so:

... | eval y_field = "load_times" | xyseries date_time y_field, load_time

I haven't used this but I have a feeling this will suit your case.

0 Karma

juancarlos_pola
Explorer

Thank you for your response sk314.
And, pardon my ignorance but, when I define avg() does it return the real value? or the average comparing with all the other values? I would like to get the numerical value as it is.

Please let me know if I am right or wrong.

Thank you

0 Karma
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