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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 lookups to enrich data


Sometimes, information that would be useful for reporting and searching is not located in the logs themselves, but is available elsewhere. Lookups allow us to enrich data, and even search against the fields in the lookup as if they were part of the original events.

The source of data for a lookup can be either a Comma Separated Values (CSV) file or a script. We will cover the most common use of a CSV lookup in the next section. We will cover scripted lookups in Chapter 12, Extending Splunk.

There are three steps for fully defining a lookup: creating the file, defining the lookup definition, and optionally wiring the lookup to run automatically.

Defining a lookup table file

A lookup table file is simply a CSV file. The first line is treated as a list of field names for all other lines.

Lookup table files are managed at Manager | Lookups | Lookup table files. Simply upload a new file and give it a filename, preferably ending in .csv.

The lookup file users.csv is included...

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