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Implementing Splunk 7, Third Edition

You're reading from   Implementing Splunk 7, Third Edition Effective operational intelligence to transform machine-generated data into valuable business insight

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788836289
Length 576 pages
Edition 3rd Edition
Languages
Tools
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Toc

Table of Contents (19) Chapters Close

Title Page
Packt Upsell
Contributors
Preface
1. The Splunk Interface FREE CHAPTER 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 14. Machine Learning Toolkit Index

A quick example


Let's try a quick example. Once we have selected a data model (in our case, Aviation Games), from the Select a Dataset page, we can choose Processing Errors, which will land us on the New Pivot (Pivot Editor):

To build a simple pivot, we can do the following quick steps:

  1. Add/Verify the filters:

Remember, All time is the default; this will include all results found over all time. You can click on the pencil and amend this filter to be based upon any of Splunk's Presets or a specific Date Range:

For this example, we'll just leave the default selection.

  1. Configure the Split Rows.

Directly under Filters is Split Rows. For Split Rows, I've selecteddate_month:

  1. After making the selection, you are able to provide additional settings for the selected row:

I've provided a new name (Label) for the row (my_Month) and left the defaults for Sort, Max Rows (to display), and Totals.

  1. Configure the Split Columns.

Moving to the upper-right side of the Pivot page, we have Split Columns. For Split Columns...

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