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Splunk stats by index1/1/2024 ![]() ![]() Edit the query to include a summary indexing command.Develop and test the query that you will use to populate the summary index.Create a scheduled savedsearch by following the below steps:.Identify your report requirements (what data to report on and how frequently).Identify the index that will hold the summarized data.The process to implement summary indexing is fairly straightforward: The only scenario in which licensing would be impacted is if you use commands like “collect” to change the source type to something other than “stash.” How Do You Create a Summary Index? Therefore, summary indexing does not count against your license, no matter how many summary indexes you have. How Do Summary Indexes Affect Licensing?īy default, all events in a summary index use the “stash” source type. By moving key pieces of data to a separate index, you can keep them for a longer time while saving on disk space.īy default, Splunk provides an index named “summary,” but you create additional summary indexes according to your needs. Summary indexes are no different than other indexes however, an advantage of using summary indexes is that you can modify retention times for the data.Ĭonsider, for instance, that the source of your data is in an index with a 90-day retention time. The most common use cases for summary indexes include running reports over long time ranges for large datasets as well as building rolling reports. This allows you to conduct quicker, more efficient searches. A step-by-step example of creating and running a summary indexĪ summary index is an index that summarizes a larger dataset over time by extracting and storing only the most relevant pieces of data.How do summary indexes affect licensing?.In this article, we’ll breakdown everything you need to know about summary indexes in Splunk, including: Summary indexing is a process that allows you to search large datasets more efficiently by creating smaller, customized summaries of those datasets to search instead.īecause these new summary indexes have significantly fewer events for your Splunk software to search through, searches run against them complete much faster. ![]()
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