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Implementing Splunk: Big Data Reporting and Development for Operational Intelligence

Implementing Splunk: Big Data Reporting and Development for Operational Intelligence

By : VINCENT BUMGARNER
3.9 (11)
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Implementing Splunk: Big Data Reporting and Development for Operational Intelligence

Implementing Splunk: Big Data Reporting and Development for Operational Intelligence

3.9 (11)
By: VINCENT BUMGARNER

Overview of this book

Splunk is a data collection, indexing, and visualization engine for operational intelligence. It's a powerful and versatile search and analysis engine that lets you investigate, troubleshoot, monitor, alert, and report on everything that's happening in your entire IT infrastructure from one location in real time. Splunk collects, indexes, and harnesses all the fast moving machine data generated by our applications, servers, and devices - physical, virtual, and in the cloud.Given a mountain of machine data, this book shows you exactly how to learn to use Splunk to make something useful from it. Depending on your needs, you can learn to search, transform, and display data, or learn to administer your Splunk installation, large or small. "Implementing Splunk: Big Data Reporting and Development for Operational Intelligence" will help you get your job done faster, whether you read from the beginning or jump to what you need to know today. New and experienced users alike will find nuggets of wisdom throughout.This book provides you with valuable examples and step-by-step instructions, showing you how to take advantage of everything Splunk has to offer you, to make the most out of your machine data."Implementing Splunk: Big Data Reporting and Development for Operational Intelligence" takes you on a journey right from inception to a fully functioning implementation of Splunk. Using a real-world data walkthrough, you'll be shown how to search effectively, create fields, build dashboards, reports, and package apps, manage your indexes, integrate into the enterprise, and extend Splunk. This practical implementation guide equips you with high-level knowledge for configuring, deploying, extending, and integrating Splunk. Depending on the goal and skills of the reader, enough topics are covered to get you on your way to dashboard guru, app developer, or enterprise administrator. This book uses examples curates reference, and sage advice to help you make the most of this incredibly powerful tool.
Table of Contents (19 chapters)
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Implementing Splunk: Big Data Reporting and Development for Operational Intelligence
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1
Index

Using stats to aggregate values


While top is very convenient, stats is extremely versatile. The basic structure of a stats statement is:

stats functions by fields

Many of the functions available in stats mimic similar functions in SQL or Excel, but there are many functions unique to Splunk. The simplest stats function is count. Given the following query, the results will contain exactly one row, with a value for the field count:

sourcetype="impl_splunk_gen" error | stats count

Using the by clause, stats will produce a row per unique value for each field listed, which is similar to the behavior of top. Run the following query:

sourcetype="impl_splunk_gen" error | stats count by logger user

It will produce a table like that shown in the following screenshot:

There are a few things to notice about these results:

  1. The results are sorted against the values of the "by" fields, in this case logger followed by user. Unlike top, the largest value will not necessarily be at the top of the list. You can sort...

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