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Implementing Splunk: Big Data Reporting and Development for Operational Intelligence

You're reading from  Implementing Splunk: Big Data Reporting and Development for Operational Intelligence

Product type Book
Published in Jan 2013
Publisher Packt
ISBN-13 9781849693288
Pages 448 pages
Edition 1st Edition
Languages
Concepts
Author (1):
VINCENT BUMGARNER VINCENT BUMGARNER
Profile icon VINCENT BUMGARNER

Table of Contents (19) Chapters

Implementing Splunk: Big Data Reporting and Development for Operational Intelligence
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. The Splunk Interface 2. Understanding Search 3. Tables, Charts, and Fields 4. Simple XML Dashboards 5. Advanced Search Examples 6. Extending Search 7. Working with Apps 8. Building Advanced Dashboards 9. Summary Indexes and CSV Files 10. Configuring Splunk 11. Advanced Deployments 12. Extending Splunk Index

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 step 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.

To start a query, the command is as follows:

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

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

To run the query earliest=-1h index="_internal" warn | stats count by host, we need to URL encode the query. The command then is as follows:

...
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