This search uses several statistical functions with the stats command. Sourcetype=access_* status=200 action=purchase clientip=87.194.216.51 | stats count, distinct_count(productId), values(productId) by clientip Use the stats command to count the purchases by this VIP customer. You now need to run another search to determine how many different products the VIP shopper has purchased.These are the default fields that are returned with the top command. The search also returns a count and a percent. This search returns one clientip value, 87.194.216.51, which you will use to identify the VIP shopper. The clientip argument specifies the field to return. The limit=1 argument specifies to return 1 value. Sourcetype=access_* status=200 action=purchase | top limit=1 clientip To find the shopper who accessed the online shop the most, use this search.Use the top command to return the most frequent shopper. You want to find the single most frequent shopper on the Buttercup Games online store and what that shopper has purchased. Example 2 shows how to find the most frequent shopper with a subsearch. Example 1 shows how to find the most frequent shopper without a subsearch. The following examples show why a subsearch is useful. Let's find the single most frequent shopper on the Buttercup Games online store, and what that shopper has purchased. Subsearches are enclosed in square brackets within a main search and are evaluated first. The result of the subsearch is then used as an argument to the primary, or outer, search. There are several examples of stats for transaction on Splunk Answers.In this section you will learn how to correlate events by using subsearches.Ī subsearch is a search that is used to narrow down the set of events that you search on. You should ideally try stats for your correlation instead of transaction. Please try out and which are the fields you want to stitch together after transaction command? | stats count as eventcount list(*) as list_* by component _time | fields _time, component, log_level, date_hour, date_minute, date_second | eval maxTime=mvindex(list_Time,0),minTime=mvindex(list_Time,eventcount-1), duration=maxTime-minTimeįollowing is a runanywhere example based on Splunk's _internal index just to generate some data and correlate using component (similar to session_id) index=_internal sourcetype=splunkd | stats count as eventcount list(*) as list_* by _time session_id | fields _time, session_id, field1, field2, field3 There are several examples of stats for transaction on Splunk Answers. > Memory control options -> which are the fields you want to stitch together after transaction command? The ' closed_txn' field is set to ' 1' if one of the following conditions is met: maxevents, maxpause, maxspan, startswith. adding maxevents=2 only closes some of the events.adding maxopentxn=5500 to the transaction command causes the number of returned results to go from 5000 to 5500.| stats count by closed_txn shows all the transactions returned as closed_txn=0.I need to create transactions out of 650000 entries (two or three lines each), so needless to say this search no longer functions. This leaves all transactions open and then the search ends when it hits the default of 5000. Looking into it looks like the transaction command is no longer closing connections when the maxspan (30s) value is hit. A previously working saved search is no longer returning the correct results. We recently upgraded to from 7.1.2 to 8.0.3 on on-prem Splunk Enterprise.
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