![]() This ensures that the random number returned is not greater than 100000. This example takes a random number and uses the modulo mathematical operator ( % ) to divide the random number by 100000. In this example the random number is between 1 and 100,000. The following example returns a random number within a specified range. The following example returns a random integer, such as 0.2147483647. This function returns a pseudo-random integer ranging from 0 to 2 31-1. | makeresults | eval n = "3 5 6 4 7 2" | makemv n Another new field called minn is created which takes the values in n and returns the minimum value, 2. The makemv command is used to make the single value into multiple values, each of which appears on it's own row in the results. This search creates a field called n with a single value, which is a series of numbers. The following example returns the minimum value in a multivalue field. If the value in the size field is 1, then 1 is returned. ![]() If the value in the size field is 9, then 3 is returned. Splunk searches use lexicographical order, where numbers are sorted before letters. The following example returns either 3 or the value in the size field. This function one or more numeric or string values and returns the minimum value. | makeresults | eval n = "1 3 5 6 4 2" | makemv n Another new field called maxn is created which takes the values in n and returns the maximum value, 6. The following search creates a field called n with a single value, which is a series of numbers. This example returns the maximum value in a multivalue field. If the value in the name field is "zaz", then "zaz" is returned. If the value in the name field is "baz", then "foo" is returned. The following example returns either "foo" or the value in the name field. You can use this function with the eval and where commands, in the WHERE clause of the from command, and as part of evaluation expressions with other commands. This function takes one or more numeric or string values and returns the maximum value. In addition to these functions, there is a comprehensive set of Quick Reference for SPL2 Stats and Charting Functions that you can use with the stats, timechart, and related commands. The following list contains the evaluation functions that you can use to calculate statistics.įor information about using string and numeric fields in functions, and nesting functions, see Overview of SPL2 eval functions.
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