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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

Using CSV files to store transient data

Sometimes it is useful to store small amounts of data outside a Splunk index. Using the inputcsv and outputcsv commands, we can store tabular data in CSV files on the filesystem.

Pre-populating a dropdown

If a dashboard contains a dynamic dropdown, you must use a search to populate the dropdown. As the amount of data increases, the query to populate the dropdown will run more and more slowly, even from a summary index. We can use a CSV file to store just the information needed, simply adding new values when they occur.

First, we build a query to generate the CSV file. This query should be run over as much data as possible:

source="impl_splunk_gen"
| stats count by user
| outputcsv user_list.csv

Next, we need a query to run periodically and append any new entries to the file. Schedule this query to run periodically as a saved search:

source="impl_splunk_gen"
| stats count by user
| append [inputcsv user_list.csv]
| stats sum(count) as...
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