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Implementing Splunk 7, Third Edition - Third Edition

You're reading from  Implementing Splunk 7, Third Edition - Third Edition

Product type Book
Published in Mar 2018
Publisher Packt
ISBN-13 9781788836289
Pages 576 pages
Edition 3rd Edition
Languages

Table of Contents (19) Chapters

Title Page
Packt Upsell
Contributors
Preface
The Splunk Interface Understanding Search Tables, Charts, and Fields Data Models and Pivots Simple XML Dashboards Advanced Search Examples Extending Search Working with Apps Building Advanced Dashboards Summary Indexes and CSV Files Configuring Splunk Advanced Deployments Extending Splunk Machine Learning Toolkit 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 as 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=PIPE, 
  shell=True).stdout.read...
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