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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
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Author (1):
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James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Table of Contents (15) Chapters Close

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

Querying Splunk via REST

Splunk provides an extensive HTTP REST interface, which allows searching, adding data, adding inputs, managing users, and more. Documentation and SDKs are provided by Splunk at http://dev.splunk.com/.

To get an idea of how this REST interaction happens, let's walk through a sample conversation to run a query and retrieve the results. The steps are essentially as follows:

  1. Start the query (POST)
  2. Poll for status (GET)
  3. Retrieve results (GET)

We will use the command-line program curl to illustrate these steps. The SDKs make this interaction much simpler.

The command to start a query is as follows:

curl -u user:pass -k https://yourserver:8089/services/search/jobs -
d"search=search query"

This essentially says to use POST on the search=search query. If you are familiar with HTTP, you might notice that this is a standard POST from an HTML...

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