Without a BY clause, it will give a single record which shows the average value of the field for all the events. This function takes the field name as input. We can find the average value of a numeric field by using the avg() function. If a BY clause is used, one row is returned for each distinct value specified in the BY clause.īelow we see the examples on some frequently used stats command. If the stats command is used without a BY clause, only one row is returned, which is the aggregation over the entire incoming result set. The stats command works on the search results as a whole and returns only the fields that you specify.Įach time you invoke the stats command, you can use one or more functions. SPLUNK TSTATS HOW TOKinney Group Splunk consultants are highly experienced and know how to get you “unstuck.” Fill out the form below to learn more about our expert Splunk solutions.The stats command is used to calculate summary statistics on the results of a search or the events retrieved from an index. This command should always be considered when creating new correlation searches to improve search efficiency and overall performance of ES. Understanding and correctly implementing the tstats command can significantly improve the performance of the searches being run. Only the fields that are in the accelerated data models can be used. To find out more about the fields contained in the data models for ES see the documentation for Splunk’s Common Information Models (CIM). This is a requirement when searching accelerated data from the data models. Notice in the example search that the dataset name “IDS_Attacks” is prepended to each field in the query. | `drop_dm_object_name(IDS_Attacks)` Figure 4 – Example tstats search for Intrusion detection data. | tstats `summariesonly` count from datamodel=Intrusion_Detection.IDS_Attacks where IDS_verity=high OR IDS_verity=critical by IDS_Attacks.src, IDS_st, IDS_Attacks.signature, IDS_verity SPLUNK TSTATS FULLThe basic usage of this command is as follows, but the full documentation of how to use this command can be found under Splunk’s Documentation for tstats. Anytime we are creating a new correlation search to trigger a notable event, we want to first consider if we can utilize the tstats command. The tstats command is most commonly used with Splunk Enterprise Security. Here we can see that the same number of events were scanned but it only took 1.342 seconds to complete! That’s an EPS of about 142 million. Figure 3 – Search job inspector for tstats command search. However, if we take a look at the job inspector, we will see an incredible difference in search efficiency. This search will provide the same output as the first search. | tstats count where index=windows by sourcetype The EPS for this search would be just above 228 thousand, a respectable number.īy converting the search to use the tstats command there will be an instant, notable difference in search performance. This can be helpful when determining search efficiency. We can calculate the Events Per Second (EPS) by dividing the event scanned by the number of seconds taken to complete. This search took almost 14 minutes to run. Figure 2 – Job inspector for first search. Figure 1 – Table produced by the first search.īy looking at the job inspector we can determine the search efficiency. This search will output the following table. For this example, the following search will be run to produce the total count of events by sourcetype in the window’s index. Let’s take a simple example to illustrate just how efficient the tstats command can be. If you’re running Splunk Enterprise Security, you’re probably already aware of the tstats command but may not know how to use it. Similar to the stats command, tstats will perform statistical queries on indexed fields in tsidx files. Significant search performance is gained when using the tstats command, however, you are limited to the fields in indexed data, tscollect data, or accelerated data models.
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