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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

Understanding summary indexes

A summary index is a place to store events calculated by Splunk. Usually, these events are aggregates of raw events broken up over time, for instance, the number of errors that occurred per hour. By calculating this information on an hourly basis, it is cheap and fast to run a query over a longer period of time, for instance, days, weeks, or months.

A summary index is usually populated from a saved search with summary indexing enabled as an action. This is not the only way, but it is certainly the most common one.

On disk, a summary index is identical to any other Splunk index. The difference is solely the source of data. We create the index through configuration or through the GUI like any other index, and we manage the index size in the same way.

Think of an index like a table, or possibly a tablespace, in a typical SQL database. Indexes are capped...

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