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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
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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

When not to use a summary index


There are several cases where summary indexes are either inappropriate or inefficient. Consider the following:

  • When you need to see the original events: In most cases, summary indexes are used to store aggregate values. A summary index could be used to store a separate copy of events but this is not usually the case. The more events you have in your summary index, the less advantage it has over the original index.

  • When the possible number of categories of data is huge: For example, if you want to know the top IP addresses seen per day, it may be tempting to simply capture a count of every IP address seen. This can still be a huge amount of data, and may not save you a lot of search time, if any. Likewise, simply storing the top 10 addresses per slice of time may not give an accurate picture over a long period of time. We will discuss this scenario under the Calculating top for a large time frame section.

  • When it is impractical to slice the data across sufficient...

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