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Mastering Kibana 6.x

You're reading from   Mastering Kibana 6.x Visualize your Elastic Stack data with histograms, maps, charts, and graphs

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781788831031
Length 376 pages
Edition 1st Edition
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Author (1):
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Anurag Srivastava Anurag Srivastava
Author Profile Icon Anurag Srivastava
Anurag Srivastava
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Table of Contents (16) Chapters Close

Preface 1. Revising the ELK Stack FREE CHAPTER 2. Setting Up and Customizing the Kibana Dashboard 3. Exploring Your Data 4. Visualizing the Data 5. Dashboarding to Showcase Key Performance Indicators 6. Handling Time Series Data with Timelion 7. Interact with Your Data Using Dev Tools 8. Tweaking Your Configuration with Kibana Management 9. Understanding X-Pack Features 10. Machine Learning with Kibana 11. Create Super Cool Dashboard from a Web Application 12. Different Use Cases of Kibana 13. Creating Monitoring Dashboards Using Beats 14. Best Practices 15. Other Books You May Enjoy

Avoiding large document indexing

We should avoid indexing large documents since Elasticsearch has a default maximum content size, and if we try to index a document that crosses this limit, Elasticsearch will refuse to index the document. Elasticsearch's default maximum length for any document is 100 MB, and it is defined using the following configuration:

http.max_content_length

Although we can increase the default max_content_length in Elasticsearch, it is not recommended to increase the limit. Large document sizes increase network load, and we will lose the benefit of Elasticsearch because the main advantage of Elasticsearch lies in the search capabilities and speed that it provides. If we index a large document, it puts stress on memory usage, disks, and also on the network.


We have the Lucene maximum content limit, which is about 2 GB.

 

It is required to understand...

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