![]() ![]() ' 3.14159' matches ' the quick brown fox' does not match. result=STRMATCH(string, 'Ll ') result=STRMATCH(string, '^.*x$') Matches any string containing a period. result=STRMATCH(string, '^at') Matches any string containing ' L' followed by one or more occur rences of ' l': ' Get a Llama' matches ' larry the llama' does not match (first l in llama is lower case). result=STRMATCH(string, 'a') Matches any string beginning ( ^) with Cat, bat, and so on: ' Cat Woman', ' catatonic', ' Batman, the animated series' but does not match: ' cat' (begins with a space), ' cab', and so on. Matches any string containing the character ' a'. The following PV‑WAVE commands demonstrate the regular expression pattern matching used in the STRMATCH command. For example, if you need to match only the string “site”, then construct your regex so that “site” is the both the beginning and end of the string: ^site$.Assume that string is a string array defined in PV‑WAVE. If you need to make a specific match, construct you regex accordingly. For example, in a partial match, site matches mysite, yoursite, theirsite, parasite-any string that contains “site”. Regular expressions are greedy by nature: if you don’t tell them not to, they match what you specify plus any adjacent characters. For example, if you use a dot as the decimal separator in an IP address, escape it with a backslash (\.) so that it isn’t interpreted as a wildcard. Use the backslash (\) to escape regex metacharacters when you need those characters to be interpreted literally. Simple regex is easier for another user to interpret and modify. For example, the pattern "India" only matches "India." To make this regex act like a partial match, you must use metacharacters: "India.*" will return any value that begins with "India" and ends with anything (or nothing) else. In a Google Analytics 4 property, the default regex is a "full match." The data must exactly match the pattern you provide. ![]() Tips Default behavior between Universal Analytics and Google Analytics 4īy default, regular expressions in Universal Analytics properties are treated as a "partial match." The expression will be true if the pattern you provide is contained anywhere in the data.įor example, if you provide the pattern "India" the regex matches "India", "Indian", "Indiana", "Indianapolis", and so on. You don't need to use metacharacters to achieve this partial match. indicates that the adjacent dot should be interpreted as a period or decimal rather than as a wildcard. Indicates that the adjacent character should be interpreted literally rather than as a regex metacharacter Matches the enclosed characters in any order anywhere in a stringĬreates a range of characters within brackets to match anywhere in a string Matches the enclosed characters in exact order anywhere in a string Matches the adjacent characters at the end of a string Matches the adjacent characters at the beginning of a string Matches the preceding character 0 or more times Matches the preceding character 1 or more times Matches the preceding character 0 or 1 times Matches any single character (letter, number or symbol) Or if you wanted to create a view filter that included only campaign data from two different cities, you could create a regular expression like San Francisco|New York (San Francisco or New York). Rather than enter 25 different IP addresses, you could create a regular expression like 198\.51\.100\.\d* that matches the entire range of addresses. In the context of Analytics, regular expressions are specific sequences of characters that broadly or narrowly match patterns in your Analytics data.įor example, if you wanted to create a view filter to exclude site data generated by your own employees, you could use a regular expression to exclude any data from the entire range of IP addresses that serve your employees. ![]() This article covers regular expressions in both Universal Analytics and Google Analytics 4. ![]()
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