![]() To try this example on your own Splunk instance, you must download the sample data and follow the instructions to get the tutorial data into Splunk. Use eval expressions to count the different types of requests against each Web server This example uses the sample data from the Search Tutorial but should work with any format of Apache web access log. Status=* | stats dc(eval(if(status=404, clientip, NULL()))) AS dc_ip_errors Status=* | eval dc_ip_errors=if(status=404,clientip,NULL()) | stats dc(dc_ip_errors)Īs an alternative, you can embed an eval expression using eval functions in a stats function directly to return the same results. Then the stats function is used to count the distinct IP addresses. This is a shorthand method for creating a search without using the eval command separately from the stats command.įor example, the following search uses the eval command to filter for a specific error code. You can embed eval expressions and functions within any of the stats functions. also think should a partial success be counted differently or not.Use stats with eval expressions and functions If time is actually _time and a Unix time stamp value instead of a discrete string, the above will change as you'll need to solve bucketing issues (for example do I have 1 or multiple runs of my overall job in my bucket,if multiple pass is that 1 or potentially 2?). So if we do base search to retrieve data | rex field=stepName "^(?+)_" | stats count(eval(stepStatus="PASS")) as nPass by time,parentId | eval nPass=if(nPass>0,1,0) | chart max(nPass) by parentId over time this begins to get us an approximation of what you are looking for. For this, I'm assuming that everything before the first underscore is a parent job identifier and that time is discrete strings as is in your question. ![]() Now with the basics out of the way let's look at your data. As bucketed time windows is often the preferred x-axis when it comes to data in Splunk, the timechart command is the chart command where the x-axis is simply the _time field, divided into buckets (every day, hour, minute, etc). The reason for this is to help you setup a visual chart with multiple series of statistics over a field containing the x-axis values. chart is the same as stats but it let's you group by only two fields instead of arbitrarily many. You can calculate these statistics across the record set as a whole (the default) or you can add a by clause to group over a set of other fields with the same corresponding value set for those fields allowing you to answer questions that require such division. Stats (and other functions) on the other hand lets you apply statistical functions across all records in your record set, including but not limited to count(eval(testLogic="ADD_PASS")) as Add_Count for example. If you want to set multiple values you need multiple eval statements Additionally, eval only sets the value of a single field at a time. Because eval works on a row by row basis, attempting to count the number of times a field is a certain value across all records isn't possible with the eval function. eval lets you assign a value to a new field on each result (row / record) based on values of other fields in each result and functions applied to the same. The issue at hand I think is an understanding of the differences between eval and chart. So I am wondering what I am all doing wrong ? (here I expect to get over the time chart if at least one stepName additional_sub_? or wrong_sub_? was having stepStatus PASS or not)īut it produce a lot of errors starting with:Įrror in 'eval' command: The operator at ', Wrg_Count = count(testLogic="WRG_PASS")' is invalid. (here I check if count is more then zero or not) (here I count number of "PASS"es, max is 2 min is 0 ) (here I get into field testLogic all events which are PASS and belongs to one of two stepName) LIKE(stepName,"wrong_sub_%") AND stepStatus="PASS", "WRG_PASS") To describe step by step what I am doing: LIKE(stepName,"wrong_sub_%") AND stepStatus="PASS", "WRG_PASS") |Įval Add_Count = count(testLogic="ADD_PASS"), Wrg_Count = count(testLogic="WRG_PASS") |Įval Add_Status=if(Add_Count>0,"PASS","FAIL"), Wrg_Status=if(Add_Count>0,"PASS","FAIL") | LIKE(stepName,"additional_sub_%") AND stepStatus="PASS", "ADD_PASS", ![]() The same holds for the chart of values Wrg_Status over the time. So, Add_Status would have value PASS is at least one stepName(additional_sub_4 or additional_sub_3) is PASS, otherwise FAIL. I need to draw a chart with two lines Add_Status, Wrg_Status which would have values of PASS or FAIL over the time. ![]()
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