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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

Product type Book
Published in Jan 2013
Publisher Packt
ISBN-13 9781849693288
Pages 448 pages
Edition 1st Edition
Languages
Concepts
Author (1):
VINCENT BUMGARNER VINCENT BUMGARNER
Profile icon VINCENT BUMGARNER

Table of Contents (19) Chapters

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 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

Writing commands


To augment the built-in commands, Splunk provides the ability to write commands in Python and Perl. You can write the commands to modify events, replace events, or even dynamically produce events.

When not to write a command

While external commands can be very useful, if the number of events to be processed is large, or if performance is a concern, it should be considered a last resort. You should make every effort to accomplish the task at hand using the search language built into Splunk, or other built-in features. For instance, if you need:

  • Regular expressions—learn to use rex, regex, and extracted fields

  • To calculate a new field, or modify an existing field—look into eval (search for splunk eval functions with your favorite search engine)

  • To augment your results with external data—learn to use lookups , which can also be a script, if need be

  • To read external data that changes periodically—consider using inputcsv

The performance issues introduced by external commands come from...

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