I am looking to create a simple pie chart that contrasts the total number of users during any give timeframe vs how many logged into a specific app. I am probably over thinking this, but what I did is a search for distinct_count of users during a period and then joined another search that calculates the distinct_count of users that logged into a specific app over that same period. For example:  index="okta" "outcome.result"=SUCCESS displayMessage="User single sign on to app" | stats dc(actor.alternateId) as "Total Logins" | join [ | search index="okta" "target{}.displayName"="Palo Alto Networks - Prisma Access" "outcome.result"=SUCCESS displayMessage="User single sign on to app" | stats dc(actor.alternateId) as "Total Palo Logins"] | table "Total Palo Logins" "Total Logins" Only issue is I can't get a proper pie graph of the percentage of Palo Logins vs Total Logins. Any help would be appreciated. I am sure I am missing something simple here.  ... View more

I have a list of chrome extensions that are installed that is returned in a multivalue field. One of the results looks like this:  All I really care about is the extension name so I was able to run this query to use rex to extract the names of all the extensions:  index=jamf source=jss_inventory "extensionAttribute.name"="Installed Chrome Extensions & Versions" | fields extensionAttribute.name, computer_meta.assignedUser | rex field=extensionAttribute.value max_match=0 "Name: (?<extensions>.*)\n" | table extensions This returns:  How can I further extract these extensions in this multi-value field.  I can't get mvexpand to work because it says that the new extensions field I created doesn't exist in the data. I can't figure out how to extract each line as a separate result so that I can dedup and get a full list of all installed extensions.  ... View more