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Improving Your Splunk Skills

You're reading from   Improving Your Splunk Skills Leverage the operational intelligence capabilities of Splunk to unlock new hidden business insights

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Product type Course
Published in Aug 2019
Publisher Packt
ISBN-13 9781838981747
Length 680 pages
Edition 1st Edition
Languages
Tools
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Authors (4):
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James D. Miller James D. Miller
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James D. Miller
Josh Diakun Josh Diakun
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Josh Diakun
Paul R. Johnson Paul R. Johnson
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Paul R. Johnson
Derek Mock Derek Mock
Author Profile Icon Derek Mock
Derek Mock
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Table of Contents (21) Chapters Close

Title Page
Copyright and Credits About Packt Contributors 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. Extending Search 7. Working with Apps 8. Building Advanced Dashboards 9. Summary Indexes and CSV Files 10. Configuring Splunk 11. Play Time – Getting Data In 12. Building an Operational Intelligence Application 13. Diving Deeper – Advanced Searching, Machine Learning and Predictive Analytics 14. Speeding Up Intelligence – Data Summarization 15. Above and Beyond – Customization, Web Framework, HTTP Event Collector, REST API, and SDKs 1. Other Books You May Enjoy

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: This 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 very 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...
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