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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 subsearches to find loosely related events


The number of use cases for subsearches in the real world might be small, but for those situations where they can be applied, subsearches can be a magic bullet. Let's look at an example and then talk about some rules.

Subsearch

Let's start with these events:

2012-04-20 13:07:03 msgid=123456 from=mary@companyx.com
2012-04-20 13:07:04 msgid=654321 from=bobby@companyx.com
2012-04-20 13:07:05 msgid=123456 to=bob@vendor1.co.uk
2012-04-20 13:07:06 msgid=234567 from=mary@companyx.com
2012-04-20 13:07:07 msgid=234567 to=larry@vender3.org
2012-04-20 13:07:08 msgid=654321 to=bob@vendor2.co.uk

From these events, let's find out who mary has sent messages to. In these events, we see that the from and to values are in different entries. We could use stats to pull these events together, and then filter the resulting rows, like this:

sourcetype=mail to OR from
  | stats values(from) as from values(to) as to by msgid 
  | search from=mary@companyx.com

The problem...

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