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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
Languages
Tools
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Toc

Table of Contents (19) Chapters Close

Title Page
Packt Upsell
Contributors
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 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 13, 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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