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Implementing Splunk: Big Data Reporting and Development for Operational Intelligence

You're reading from   Implementing Splunk: Big Data Reporting and Development for Operational Intelligence Learn to transform your machine data into valuable IT and business insights with this comprehensive and practical tutorial

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Product type Paperback
Published in Jan 2013
Publisher Packt
ISBN-13 9781849693288
Length 448 pages
Edition 1st Edition
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Author (1):
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VINCENT BUMGARNER VINCENT BUMGARNER
Author Profile Icon VINCENT BUMGARNER
VINCENT BUMGARNER
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Table of Contents (19) Chapters Close

Implementing Splunk: Big Data Reporting and Development for Operational Intelligence
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. The Splunk Interface FREE CHAPTER 2. Understanding Search 3. Tables, Charts, and Fields 4. Simple XML Dashboards 5. Advanced Search Examples 6. Extending Search 7. Working with Apps 8. Building Advanced Dashboards 9. Summary Indexes and CSV Files 10. Configuring Splunk 11. Advanced Deployments 12. Extending Splunk Index

Using search terms effectively


The key to creating an effective search is to take advantage of the index. Splunk's index is effectively a huge word index, sliced by time. The single most important factor for the performance of your searches is how many events are pulled from disk. The following few key points should be committed to memory:

  • Search terms are case insensitive: Searches for error, Error, ERROR, and ErRoR are all the same thing.

  • Search terms are additive: Given the search item mary error, only events that contain both words will be found. There are Boolean and grouping operators to change this behavior; we will discuss these later.

  • Only the time frame specified is queried: This may seem obvious, but it's a big difference from a database, which would always have a single index across all events in a table. Since each index is sliced into new buckets over time, only the buckets that contain events for the time frame in question need to be queried.

  • Search terms are words, not parts...

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