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Implementing Splunk 7, Third Edition

You're reading from   Implementing Splunk 7, Third Edition Effective operational intelligence to transform machine-generated data into valuable business insight

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788836289
Length 576 pages
Edition 3rd Edition
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Author (1):
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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 14. Machine Learning Toolkit

Summary Indexes and CSV Files

As the number of events retrieved by a query increases, the performance decreases linearly. Summary indexing allows you to calculate the statistics in advance and then run reports against these roll ups, dramatically increasing performance.

In this chapter, we will cover the following topics:

  • Understanding summary indexes
  • When to use a summary index
  • When not to use a summary index
  • Populating summary indexes with saved searches
  • Using summary index events in a query
  • Using sistats, sitop, and sitimechart
  • How latency affects summary queries
  • How and when to backfill summary data
  • Reducing summary index size
  • Calculating top for a large time frame
  • Using CSV files to store transient data
  • Speeding up queries and backfilling
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