Book Image

Splunk Essentials - Second Edition

By : Betsy Page Sigman, Erickson Delgado
Book Image

Splunk Essentials - Second Edition

By: Betsy Page Sigman, Erickson Delgado

Overview of this book

Splunk is a search, analysis, and reporting platform for machine data, which has a high adoption on the market. More and more organizations want to adopt Splunk to use their data to make informed decisions. This book is for anyone who wants to manage data with Splunk. You’ll start with very basics of Splunk— installing Splunk—and then move on to searching machine data with Splunk. You will gather data from different sources, isolate them by indexes, classify them into source types, and tag them with the essential fields. After this, you will learn to create various reports, XML forms, and alerts. You will then continue using the Pivot Model to transform the data models into visualization. You will also explore visualization with D3 in Splunk. Finally you’ll be provided with some real-world best practices in using Splunk.
Table of Contents (15 chapters)
Splunk Essentials Second Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface

Search command - top/rare


A quick way to get a summarized table based on fields is by using the top and rare commands. Run this search command:

SPL> index=main | top url

Notice that the result automatically grouped the URLs by count, calculated the percentage of each row against the whole data set, and sorted them by count in descending order. You can see a sample result in the following screenshot:

You may further tweak this search command by adding command options such as limit and showperc. Say, for example, you only want to see the top five URLs but you do not want to see the percent column. This is the command to achieve that:

SPL> index=main | top url limit=5 showperc=false

Now try the same commands, but use rare instead of top. The term rare will find those events that are the most unlikely ones. This can be a useful qualifier to use for determining outliers or unusual cases that may be due to data entry errors.