From a search I composed a table, let's call it T1, formed by two columns table name, sourcetype Now I need to create a static, code generated table, call it T2, that contains all the expected values for the above mentioned table T1, hardcoded. As a result, I need to generate a table T3 equal to: T2 - T1, basically a logical set difference of the first field, which answer the business question "I want to know which records are missing in T1 based on T2" I am a newbie of Splunk and its query language and I tried to play a bit with set diff and eval to create static data but I did not manage to create the logic I want at all. Could you point me to the correct logical implementation of this task? I do script fluently in both SQL and Python, is there any kind of concept I could reuse to become more familiar with this query language? Stupid graphical example: T1 name sourcetype service_1 acpt T2 name sourcetype service_1 acpt service_2 acpt T3 name sourcetype service_2 acpt
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