To display the raw event data for the grouped events.įor information about when to use a join, see the flowchart in About event grouping and correlation in the Search Manual.For example, when a transaction does not explicitly end with a message and you want to specify a maximum span of time after the start of the transaction. To break up groups larger than a certain duration.To group events by using a pattern, such as a start or end time for the event.To group events by using a recycled field value, such as an ID or IP address.To group events by using the eval command with a conditional expression, such as if, case, or match.Use transaction in the following situations. To view the raw event data, use the transaction command instead.To use stats, the field must have a unique identifier.For example to determine the average duration of events by host name. To group events by a field and perform a statistical function on the events. In the most simple scenarios, you might need to search only for sources using the OR operator and then use a stats or transaction command to perform the grouping operation on the events. For example, a file from an external system such as a CSV file. Use when one of the result sets or source files remains static or rarely changes. The first subsearch result is merged with the first main result, the second subsearch result is merged with the second main result, and so on. You cannot use a transaction command after you use an append command.Īppends the fields of the subsearch results with the input search result fields. If you use append to combine the events, use a stats command to group the events in a meaningful way. The append command does not produce correct results if used in a real-time search. The events from both result sets are retained. To append the results of a subsearch to the results of your current search. These commands provide event grouping and correlations using time and geographic location, transactions, subsearches, field lookups, and joins. If you are familiar with SQL but new to SPL, see Splunk SPL for SQL users.įor flexibility and performance, consider using one of the following commands if you do not require join semantics. This maximum default is set to limit the impact of the join command on performance and resource consumption. Let me know if I need to clarify anything else.| join left=L right=R where L.pid = R.pid Ī maximum of 50,000 rows in the right-side dataset can be joined with the left-side dataset. In other words, I want to find the first time that xxname said hello in conversation and how in messages.ĭisplay a table that shows: name,TIME of the last call (corresponding to that name), TIME of the first time the word hello was said in the values of the conversation field, TIME of the first time the word how was said in the values of the messages field. These two fields contain values that look like paragraphs. When it comes to messages and conversations, I want to find the first time that each field had a value containing the specific word(hello and how correspondingly). I can see how that contradicts the purpose of 'join' but I couldn't find another way to do it.ġ. I want to find a way that it displays all the events and that if a certain time (or word) cannot be found then it will just stay blank. As I added the 'join' I could tell that the number of statistics decreased. Both first_hello and first_how, are displaying the same time.Ģ. | table name, call_time, first_hello, first_howġ. | stats earliest(_time) as first_how by name [ search index=xxx source=xxx sourcetype=xxx messages="\*how\*" | stats earliest(_time) as first_hello by name [ search index=xxx source=xxx sourcetype=xxx conversation="\*hello\*" | stats latest(name) as name, latest(call_time) as call_time Here's what I have so far: index= xxx source=xxx sourcetype=xxx However, I am running into error when I use the earliest command twice. I am a new splunk user and I want to create a stats table showing different findings of an event using fields.
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