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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
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Author (1):
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James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Table of Contents (15) Chapters Close

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

Writing a scripted lookup to enrich data

We covered CSV lookups fairly extensively in Chapter 7, Extending Search, then touched on them again in Chapter 10, Summary Indexes and CSV Files, and Chapter 11, 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 and 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 10, Summary Indexes and CSV...
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