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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

How and when to backfill summary data

If you are building reports against summary data, you need enough time represented in your summary index. If your report represents only a day or two, then you can probably just wait for the summary to have enough information. If you need the report to work sooner rather than later, or if the time frame is longer, then you can backfill your summary index.

Using fill_summary_index.py to backfill

The fill_summary_index.py script allows you to backfill the summary index for any time period that you like. It does this by running the saved searches which you have defined to populate your summary indexes, but only for the time periods you specify.

To use the script, follow the given procedure...

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