For more tips on search optimization, see Quick tips for optimization. The execution cost for a search is actually less when you explicitly specify the values that you want to include in the search results. Using the != expression or NOT operator to exclude events from your search results is not an efficient method of filtering events. Searching with != or NOT is not efficient If you use regular expressions in conjunction with != in searches, see regex. If you search for a Location that does not exist using NOT operator, all of the events are returned. Source="Ponies.csv" NOT Location="Calaveras Farms" ID This includes events that do not have a Location value. This includes events that do not have a value in the field.įor example, if you search using NOT Location="Calaveras Farms", every event is returned except the events that contain the value "Calaveras Farms". If you search with the NOT operator, every event is returned except the events that contain the value you specify. something like, ISSUE Event log alert Skipped count how do i get the NULL value (which is in between the two entries also as part of the stats count. This column also has a lot of entries which has no value in it. If you search for a Location that does not exist using the != expression, all of the events that have a Location value are returned. I am using a DB query to get stats count of some data from ISSUE column. Source="Ponies.csv" Location!="Calaveras Farms" ID It is faster and consumes less memory than stats command, since it using. The ‘tstats’ command is similar and efficient than the ‘stats’ command. Events that do not have Location value are not included in the results. The tstats command is powerful command in Splunk which uses tsidx file (index file) which is metadata to perform statistical functions in Splunk queries. Events that do not have a value in the field are not included in the results.įor example, if you search for Location!="Calaveras Farms", events that do not have Calaveras Farms as the Location are returned. If you search with the != expression, every event that has a value in the field, where that value does not match the value you specify, is returned. As you can see, some events have missing values. However there is a significant difference in the results that are returned from these two methods. When you want to exclude results from your search you can use the NOT operator or the != field expression. | eval "Last Seven Days" = sevenday_success. (Now if Splunk was written in Perl that would be a different story) Since my use case is all about filtering out the same set of values out of different reports, Im going with gkanapathys lookup solution. | stats sum(eval(success=1)) as sevenday_success, sum(eval(success=0)) as sevenday_fail by requester ] There isnt a clear winner, but there a loser in the bunch. Index=http_logs eval success=if(status_code>=200 status_code=200 status_code=200 status_code<=299, 1, 0) This is because the eval function always returns a value (0 or 1) and counting them would give the total number of results rather than the number of events that match the condition. Note the use of sum instead of count in the stats commands. To get counts for different time periods, we usually run separate searches and combine the results. To put multiple values in a cell we usually concatenate the values into a single value. Splunk tables usually have one value in each cell.
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