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Implementing Splunk (Update)

You're reading from  Implementing Splunk (Update)

Product type Book
Published in Jul 2015
Publisher
ISBN-13 9781784391607
Pages 506 pages
Edition 1st Edition
Languages

Table of Contents (20) Chapters

Implementing Splunk Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. The Splunk Interface 2. Understanding Search 3. Tables, Charts, and Fields 4. Data Models and Pivots 5. Simple XML Dashboards 6. Advanced Search Examples 7. Extending Search 8. Working with Apps 9. Building Advanced Dashboards 10. Summary Indexes and CSV Files 11. Configuring Splunk 12. Advanced Deployments 13. Extending Splunk 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=tm1* 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=tm1* error | stats count by date_month date_wday

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

There are a few things to notice about these results:

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

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