![]() ![]() This helps to keep the association among the field values. The mvzip function is used to tie corresponding values in the different fields of an event together. To expand the event into three separate events, one for each item and show the exact payment for each grocery item, we will need a combination of commands and functions. The report shows the method of payment for all three grocery items but it does not specify the actual payment method used for each item. The values in the “payment” field remain the same. The values in the “groceries” field have been split within the same event based on the comma delimiter. A delimiter specifies the boundary between characters. This command is used to split the values of a field that appear like a single value into multiple values within an event based on the delimiter. Please note that in all the results, I have deliberately excluded the default field, “_time” which is a default field generated when the makeresults command is used. The values for each multivalue field are separated by the comma delimiter. We can assume that this purchase transaction is equivalent to a log event. She paid for the eggs with cash and covered the remaining items using her credit card. Within one purchase transaction, Mary bought eggs, milk and bread. In my illustrations, I employed the “makeresults” command to generate hypothetical data for my searches so that anyone can recreate them without the need to onboard data. Note that multivalue functions can be used with eval, where or fieldformat search commands. I will cover some common search commands and functions that work with multivalue fields. In this article, I have applied a simple scenario to illustrate how different multivalue commands and functions can be used individually or combined to meet different use cases. If you ignore multivalue fields in your data, you may end up with missing and inaccurate data, sometimes reporting only the first value of the multivalue field(s) in your results. To properly evaluate and modify multivalue fields, Splunk has some multivalue search commands and functions. Multivalue fields can also result from data augmentation using lookups. What you would have to do is something like this.Have you ever come across fields with multiple values in your event data in Splunk and wondered how to modify them to get the results you need? Each field in an event typically has a single value, but for events such as email logs you can often find multiple values in the “To” and “Cc” fields. The issue is there is no clean way to specify "None" for one location/region without adding some specialized filtering. It is possible to split up, but things will get much more complicated. Index=index $host_filter$ |timechart min(Value) by Host limit=0 Īnd then using it in the search like this The result would look like the following. I would suggest consolidating all of the options into one input, and you could prepend the values with the location prefix. ![]() One work around would be using a multiselect input. There is no workaround to your problem (the token value for a checkbox group is always undefined if you have no values selected) without using a different type of input and/or using a complicated JavaScript filtering mechanism. ![]() Index=index $field2$ OR $field3$ OR $field4$ |timechart min(Value) by Host limit=0 How can I either ignore the NULL field, or merge the results cleanly to search? Hosts If any of the inputs are null, the search is malformed, and doesn't work. However - I may only have values in one of the checkbox lists. In my dashboard, I have a set of values I am trying to select via checkboxes. ![]()
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