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Implementing Splunk (Update)

You're reading from   Implementing Splunk (Update) A comprehensive guide to help you transform Big Data into valuable business insights with Splunk 6.2

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Product type Paperback
Published in Jul 2015
Publisher
ISBN-13 9781784391607
Length 506 pages
Edition 1st Edition
Tools
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Authors (2):
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VINCENT BUMGARNER VINCENT BUMGARNER
Author Profile Icon VINCENT BUMGARNER
VINCENT BUMGARNER
James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Toc

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 Index

Writing a scripted input to gather data

Scripted inputs allow you to run a piece of code on a scheduled basis and capture the output as if it were simply being written to a file. It does not matter what language the script is written in or where it lives, as long it is executable.

We touched on this topic in the Using scripts to gather data section in Chapter 12, Advanced Deployments. Let's write a few more examples.

Capturing script output with no date

One common problem with script output is the lack of a predictable date or date format. In this situation, the easiest thing to do is to tell Splunk not to try to parse a date at all and instead use the current date. Let's make a script that lists open network connections:

from subprocess import Popen
from subprocess import PIPE
from collections import defaultdict
import re
def add_to_key(fieldname, fields):
  return " " + fieldname + "+" + fields[fieldname]
output = Popen("netstat -n -p tcp", stdout...
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Programming languages
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