Comprehensive and Detailed Step by Step Explanation:
Thestreamstatscommand calculates statistics on search resultsas each event is processed, maintaining a running total or other cumulative calculations. Unlikeeventstats, which calculates statistics for the entire dataset at once,streamstatsprocesses events sequentially.
Here’s why this works:
Purpose of streamstats: This command is ideal for calculating cumulative statistics, such as running totals, averages, or counts, as events are returned by the search.
Sequential Processing:streamstatsapplies statistical functions (e.g.,count,sum,avg) incrementally to each event based on the order of the results.
| makeresults count=5
| streamstats count as running_count
This will produce:
_time running_count
------------------- -------------
1
2
3
4
5
Other options explained:
Option B: Incorrect becausefieldsummarygenerates summary statistics for all fields in the dataset, not cumulative statistics.
Option C: Incorrect becauseeventstatscalculates statistics for the entire dataset at once, not incrementally.
Option D: Incorrect becauseappendpipeis used to append additional transformations or calculations to existing results, not for cumulative statistics.
[References:, Splunk Documentation onstreamstats:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference/Streamstats, Splunk Documentation on Statistical Commands:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference/StatisticalAggregatingCommands, , ]
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