top and rare. Returns 10 results by default; limit: number of results default: 10 =0: returns unlimited results; countfield : number of events default: "count" ="string": rename column; showperc: percentage of events default: t =f to disable; by: split result user by game: top users for each game; game by user: top games for each user; stats. top and rare. Returns 10 results by default; limit: number of results default: 10 =0: returns unlimited results; countfield : number of events default: "count" ="string": rename column; showperc: percentage of events default: t =f to disable; by: split result user by game: top users for each game; game by user: top games for each user; stats. There are also a number of statistical functions at your disposal, avg () , count () , distinct_count () , median () , perc<int> () , stdev () , sum () , sumsq () , etc. just to name a few. So let's look at a simple search command that sums up the number of bytes per IP address from some web logs. To begin, do a simple search of the web logs. Syntax: max_match=<int> NOTE: You need to specify any integer (<int>). Here “n” is for matching “n” number of times and is for matching infinite times. (where n=1,2,3,. ..). Suppose we have data like this, Where we want to extract all counts, highlighted in the red box in the above figure. If you see carefully then you can notice that all the events are in same pattern i.e.

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