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Improving Your Splunk Skills

You're reading from   Improving Your Splunk Skills Leverage the operational intelligence capabilities of Splunk to unlock new hidden business insights

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Product type Course
Published in Aug 2019
Publisher Packt
ISBN-13 9781838981747
Length 680 pages
Edition 1st Edition
Languages
Tools
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Authors (4):
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James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
Josh Diakun Josh Diakun
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Josh Diakun
Paul R. Johnson Paul R. Johnson
Author Profile Icon Paul R. Johnson
Paul R. Johnson
Derek Mock Derek Mock
Author Profile Icon Derek Mock
Derek Mock
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Toc

Table of Contents (21) Chapters Close

Title Page
Copyright and Credits About Packt Contributors Preface 1. The Splunk Interface 2. Understanding Search FREE CHAPTER 3. Tables, Charts, and Fields 4. Data Models and Pivots 5. Simple XML Dashboards 6. Extending Search 7. Working with Apps 8. Building Advanced Dashboards 9. Summary Indexes and CSV Files 10. Configuring Splunk 11. Play Time – Getting Data In 12. Building an Operational Intelligence Application 13. Diving Deeper – Advanced Searching, Machine Learning and Predictive Analytics 14. Speeding Up Intelligence – Data Summarization 15. Above and Beyond – Customization, Web Framework, HTTP Event Collector, REST API, and SDKs 1. Other Books You May Enjoy

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 too. 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=tm1* error | stats count

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

sourcetype=tm1* error | stats count by date_month date_wday

It will produce a table like this:

There are a few things to note about these results:

  • The results are sorted against the values of the by fields, in this case, date_month followed by date_wday....
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