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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 macros to reuse logic


A macro serves the purpose of replacing bits of search language with expanded phrases. Using macros can help you reuse logic and greatly reduce the length of queries.

Let's use one of our examples from Chapter 5, Advanced Search Examples, as our example case:

sourcetype="impl_splunk_web" 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 Manager | Advanced search | Advanced search | Search macros and click on New.

Walking through our fields, we have:

  • 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 raw text. We'll use this option later.

  • The remaining fields are used if arguments are specified. We will...

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