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Implementing Splunk 7, Third Edition

Implementing Splunk 7, Third Edition

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Implementing Splunk 7, Third Edition

Implementing Splunk 7, Third Edition

5 (4)

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 (15 chapters)
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Using summary index events in a query

After the query to populate the summary index has run for some time, we can use the results in other queries.

If you're in a hurry or need to report against slices of time before the query was created, you will need to backfill your summary index. See the How and when to backfill summary data section for details about calculating the summary values for past events.

First, let's look at what actually goes into the summary index:

08/15/2012 10:00:00, search_name="summary - count by user", 
search_now=1345046520.000, info_min_time=1345042800.000, info_max_ 
time=1345046400.000, info_search_time=1345050512.340, count=17, 
user=mary 

Breaking this event down, we have the following:

  • 08/15/2012 10:00:00: This is the time at the beginning of this block of data. This is consistent with how timechart and bucket work.
  • search_name...
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