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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
The Splunk Interface Understanding Search Tables, Charts, and Fields Simple XML Dashboards Advanced Search Examples Extending Search Working with Apps Building Advanced Dashboards Summary Indexes and CSV Files Configuring Splunk Advanced Deployments Extending Splunk Index

Writing a scripted lookup to enrich data


We covered CSV lookups fairly extensively in Chapter 6, Extending Search, then touched on them again in Chapter 9, Summary Indexes and CSV Files and Chapter 10, Configuring Splunk. The capabilities built into Splunk are usually sufficient, but sometimes it is necessary to use an external data source or dynamic logic to calculate values. Scripted lookups have the following advantages over commands or CSV lookups:

  • Scripted lookups are only run once per unique lookup value, as opposed to a command, which would run the command for every event

  • The memory requirement of a CSV lookup increases with the size of the CSV file

  • Rapidly changing values can be left in an external system and queried using the scripted lookup instead of being exported frequently

In the Using a lookup with wildcards section in Chapter 9, Summary Indexes and CSV Files, we essentially created a case statement through configuration. Let's implement that use case as a script, just to show...

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