The fields sidebar is a panel that shows all available fields for your data and their values. Fields sidebar > Extract New Field: This is the easiest way to access the field extractor.The field extractor can be accessed by using various methods, such as: The field extractor can generate a regex for you based on your selection of sample values or you can enter your own regex in the field extractor. The field extractor is a tool that helps you extract fields from your data using delimiters or regular expressions. The option that automatically identifies data type, source type, and sample event is Fields sidebar > Extract New Field. There are several ways to access the field extractor. Index=main | search sourcetype=web | stats count by host This will expand the macro and run the following SPL code: Index=main | my_macro(web) | stats count by host This will replace the macro name and argument with the SPL code contained in the macro definition. For example, if you have a macro named my_macro` that takes one argument, you can reference it in a search by using the following syntax: To reference a macro in a search, you need to enclose the macro name in backtick characters (). A macro can also contain another macro within it, which is called a nested macro1. A macro can take arguments, which are variables that can be replaced by different values when the macro is called. By enclosing the macro name in backtick characters (`).Ī macro is a way to reuse a piece of SPL code in different searches. Maybe a function? But I'm super unfamiliar with those.Reference: Dynamically determine the expected interval (perhaps through a variable or other mechanism?)Īnd as far as I know, transaction limits us from having arguments to the maxpause, maxspan, startsWith, and endsWith come from an eval or other sort of variable.End the transaction if the expected interval is exceeded.Show the succession of events as a single event when happening at the expected interval.| append Įxcept that I need to be able to do this dynamically, without having to explicitly tell it the class names or the maxpause (though they could come from a lookup if needed). This is basically the results of the following search: index=foo sourcetype=bar "RunningNumber" | transaction maxpause=11m Here's a mockup based on the originally provided log events: +-+-+-+ Unfortunately, startswith is going to result in getting each record as a new 'event', whereas I want to group them as long as they didn't miss one of their 'scheduled' log write times. Ultimately, it comes down to the question: can anyone think of a clever approach to grouping transactions with variable time ranges for their maxpause values, assuming we know these durations ahead of making the transaction function call? I can easily apply a lookup to determine for each record what their next general event should be: Classname Duration If we use transaction to group these and specify a 11m max pause (11 gives us wiggle room instead of the exact 10), we'll see gaps in the RunningTimer if that has a skipped record, but not in the CheckTimer, since there should be 3 records in 10 minutes instead of 2. Still running.Īs you can see, we've now got a gap in the CheckTimer entries, since no "Checking" record showed up at that point. When searching for only the "Checking" inclusive records, we get back: index=foo sourcetype=bar "Checking" (I included the "no new files found" record, but really, it wouldn't come up in our searched data set, as you'll see shortly.) Sometimes, though, one of these might be skipped, say if a condition isn't met. So, for example, our overall log contains the following: 16:00:33 CDT Checking. My goal here is to create a timeline view that shows off the various durations of events as a block, with a skip in between, using the 'timeline' visualization plugin. But they don't all have the same frequency, so there may be several of one type between another. Let's say I've got a slew of transactions that tend to either consistently happen over and over, or will have specific gaps in them.
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