![]() But they want to check whether checking these additional. also in the interesting fields status and time-taken not showing. Also many fields are parsed as indextime parsed fields, so if you modify the raw events, the fields may still be indexed (to be tested), so the size saving on the indexes may be partial. So the regex should find that 4th column and check if it has a file extension of. the restuls being returned include the entire IIS Log line: 13:11:12 10.250.80.250 POST /request/request - 4301 Customer 10.250.80.11 - 200 0 0 951. Customer found out that we can manually check the fields to generate the IIS logs that Splunk needs. Got the header of fields of the logs as follow but what would the query to pull status code and order by Client wise. As the IIS are using indexedextractionsIIS in nf on the forwarder, you cannot reparse them on the indexers. I've followed this example ( ) and think I've got it all working up to the regex bit (I can null content using a "easier" regex that I understand ) I have read several of them on this site as well as Splunk's own timezone article. 16:01:09 GET /uploads/images/A3_2016_thumb.jpg - 80 - 172.17.73.1 Mozilla/4.0+(compatible +MSIE+7.0 +Windows+NT+6.1 +WOW64 +Trident/7.0 +SLCC2 +.NET+CLR+7 +.NET+CLR+9 +.NET+CLR+9 +.NET4.0C +.NET4.0E +InfoPath.3) 200 0 0 31 Log files with different timezones (UTC) Solved Jump to solution Log files with different timezones (UTC) sonomauser Explorer 11-03-2021 09:28 AM I apologize since similar questions have been asked numerous times in the past. Here's an example log Fields: date time cs-method cs-uri-stem cs-uri-query s-port cs-username c-ip cs(User-Agent) cs(Cookie) cs(Referer) cs-host sc-status sc-substatus sc-win32-status time-taken I'd like to filter out a few file extensions. The 4th column contains the cs_uri_stem, eg the asset that the user requested. ![]() I have an IIS log file, which is white space delimited. I'm sure this is easy if you know what you're doing. Using the Splunk App for Web Analytics you can get analytics on your weblogs similar to what you would find using various online services (Google Analytics, Omniture, Webtrends).
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