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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

Using macros to reuse logic


A macro serves the purpose of replacing bits of search language with expanded phrases (additionally, macros have other uses, such as assisting in workflow creation).

Using macros can help you reuse logic and greatly reduce the length of queries.

Let's use the following as our example case:

sourcetype="impl_splunk_gen_SomeMoreLogs" user=mary 
| transaction maxpause=5m user 
| stats avg(duration) avg(eventcount) 

Creating a simple macro

Let's take the last two lines of our query and convert them to a macro. First, navigate to Settings | Advanced search | Search macros and click on New:

Walking through our fields, we have the following:

  • Destination app: This is where the macro will live.
  • Name: This is the name we will use in our searches.
  • Definition: This is the text that will be placed in our search.
  • Use eval-based definition?: If checked, the Definition string is treated as an eval statement instead of the raw text. We'll use this option later.

The remaining fields are used...

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