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Implementing Splunk (Update)

You're reading from   Implementing Splunk (Update) A comprehensive guide to help you transform Big Data into valuable business insights with Splunk 6.2

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Product type Paperback
Published in Jul 2015
Publisher
ISBN-13 9781784391607
Length 506 pages
Edition 1st Edition
Tools
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Authors (2):
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VINCENT BUMGARNER VINCENT BUMGARNER
Author Profile Icon VINCENT BUMGARNER
VINCENT BUMGARNER
James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Table of Contents (15) Chapters Close

Preface 1. The Splunk Interface FREE CHAPTER 2. Understanding Search 3. Tables, Charts, and Fields 4. Data Models and Pivots 5. Simple XML Dashboards 6. Advanced Search Examples 7. Extending Search 8. Working with Apps 9. Building Advanced Dashboards 10. Summary Indexes and CSV Files 11. Configuring Splunk 12. Advanced Deployments 13. Extending Splunk Index

Using sistats, sitop, and sitimechart


First, let's define some new functions:

  • Sistats: sistats is the summary indexing version of the stats command, which calculates the aggregate statistics over the dataset.

  • Sitop: sitop is the summary indexing version of the top command, which returns the most frequent value of a field or a combination of fields.

  • Sitimechart: sitimechart is the summary indexing version of the timechart command, which creates a time-series chart visualization with the corresponding table of statistics.

So far, we have used the stats command to populate our summary index. While this works perfectly well, the si* variants have a couple of advantages:

  • The remaining portion of the query does not have to be rewritten. For instance, stats count still works as if you were counting the raw events.

  • The stats functions that require more data than what happened in that slice of time, will still work. For example, if your time slices each represent an hour, it is not possible to calculate...

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