Book Image

Implementing Splunk 7, Third Edition - Third Edition

Book Image

Implementing Splunk 7, Third Edition - Third Edition

Overview of this book

Splunk is the leading platform that fosters an efficient methodology and delivers ways to search, monitor, and analyze growing amounts of big data. This book will allow you to implement new services and utilize them to quickly and efficiently process machine-generated big data. We introduce you to all the new features, improvements, and offerings of Splunk 7. We cover the new modules of Splunk: Splunk Cloud and the Machine Learning Toolkit to ease data usage. Furthermore, you will learn to use search terms effectively with Boolean and grouping operators. You will learn not only how to modify your search to make your searches fast but also how to use wildcards efficiently. Later you will learn how to use stats to aggregate values, a chart to turn data, and a time chart to show values over time; you'll also work with fields and chart enhancements and learn how to create a data model with faster data model acceleration. Once this is done, you will learn about XML Dashboards, working with apps, building advanced dashboards, configuring and extending Splunk, advanced deployments, and more. Finally, we teach you how to use the Machine Learning Toolkit and best practices and tips to help you implement Splunk services effectively and efficiently. By the end of this book, you will have learned about the Splunk software as a whole and implemented Splunk services in your tasks at projects
Table of Contents (19 chapters)
Title Page
Packt Upsell
Contributors
Preface
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 13, 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 the other lines.

Lookup table files are managed at Settings | Lookups | Lookup table files. Simply upload a new file and give it a filename, preferably ending in .csv. An example lookup file (users...