BugSense provides "a mobile analytics platform used by developers to improve app performance and improve quality". In September 2013 the company acquired BugSense, a mobile-device data-analytics company. In 2012 Splunk had its initial public offering, trading under NASDAQ symbol SPLK. Venture firms August Capital, Sevin Rosen, Ignition Partners and JK&B Capital backed the company.īy 2007 Splunk had raised US$40 million. Michael Baum, Rob Das and Erik Swan co-founded Splunk Inc in 2003. More about this is in “Finding Specific Transactions” later in this chapter.History Founding & early years This search retrieves only the events it needs to and is much more efficient. If all your events have the same ip value, this search should be: sourcetype=x ip=1.2.3.4 | transaction field=ip maxpause=15s Here we are retrieving all events of sourcetype=x, building up transactions, and then throwing away any that don’t have an ip=1.2.3.4. Consider this search: sourcetype=x | transaction field=ip maxpause=15s No matter what search commands you use, it’s imperative for performance that you make the base search as specific as possible. | transaction trade_id maxpause=10mįinally, a brief word about performance. If, instead of an end condition, trade_id values are not reused within 10 minutes, the most viable solution is. However, if trade_id values are reused but the last event of each trade is indicated by the text “END”, the only viable solution is. | stats range(_time) as duration by trade_id Often there is a unique identifier, and stats can be used.įor example, to compute statistics on the duration of trades identified by the unique identifier trade_id, the following searches yield the same answer. When it is desirable to see the raw text of the events rather than an analysis on the constituent fields of the events.Īgain, when neither of these cases is applicable, it is a better practice to use stats, as search performance for stats is generally better than transaction.In other cases, when an identifier is reused, for example in DHCP logs, a particular message may identify the beginning or end of a transaction.
In this case, timespans or pauses should be used to segment the data into transactions.
This is theĬase when an identifier might be reused, for example in web sessions identified by cookie/client IP. When unique field values (also known as identifiers) are not sufficient to discriminate between discrete transactions.The transaction command is most useful in two specific cases: Unlike stats, trans- action retains the raw event text and field values from the original events, but it does not compute any statistics over the grouped events, other than the duration (the delta of the _time field between oldest and newest events in the transaction) and the eventcount (the total number of events in the transaction). Like stats, the transaction command can group events based on common field values, but it can also use more complex constraints such as total time span of the transaction, delays between events within the trans- action, and required beginning and ending events. Typically, the raw event text is discarded. You can only group events with stats if they have at least one common field value and if you require no other constraints. With that speed, however, comes some limitations. It’s faster than transaction, especially in a distributed environment.
The rule of thumb: If you can use stats, use stats. But when should you use transaction and when should you use stats? The most common approach uses either the transaction or stats command.
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