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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

Using external commands


The Splunk search language is extremely powerful, but at times, it may be either difficult or impossible to accomplish some piece of logic by using nothing but the search language. To deal with this, Splunk allows external commands to be written in Python. A number of commands ship with the product, and a number of commands are available in apps at http://splunk-base.splunk.com/.

Let's try out a few of the included commands. The documentation for the commands is included with other search commands at http://docs.splunk.com/. You can find a list of all included commands, both internal and external, by searching for All search commands. We will write our own commands in Chapter 12, Extending Splunk.

Extracting values from XML

Fairly often, machine data is written in XML format. Splunk will index this data without any issue, but it has no native support for XML. Though XML is not an ideal logging format, it can usually be parsed simply enough. Two commands are included...

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