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Mastering Elasticsearch 5.x

You're reading from   Mastering Elasticsearch 5.x Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781786460189
Length 428 pages
Edition 3rd Edition
Languages
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Author (1):
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Bharvi Dixit Bharvi Dixit
Author Profile Icon Bharvi Dixit
Bharvi Dixit
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Table of Contents (13) Chapters Close

Preface 1. Revisiting Elasticsearch and the Changes FREE CHAPTER 2. The Improved Query DSL 3. Beyond Full Text Search 4. Data Modeling and Analytics 5. Improving the User Search Experience 6. The Index Distribution Architecture 7. Low-Level Index Control 8. Elasticsearch Administration 9. Data Transformation and Federated Search 10. Improving Performance 11. Developing Elasticsearch Plugins 12. Introducing Elastic Stack 5.0

Very hot threads

When you are in trouble and your cluster works slower than usual and uses large amounts of CPU power, you know you need to do something to make it work again. This is when the hot threads API can give you the information necessary to find the root cause of your problems. A hot thread in this case is a Java thread that uses a high CPU volume and executes for longer periods of time. Such a thread doesn't mean that there is something wrong with Elasticsearch itself; it gives you information on what can be a possible hotspot and allows you to see which part of your deployment you need to look more deeply at, such as query execution or Lucene segments merging. The hot threads API returns information about which parts of the Elasticsearch code are hot spots from the CPU side or where Elasticsearch is stuck for some reason.

When using the hot threads API, you can examine all nodes, a selected few of them, or a particular node using the /_nodes/hot_threads or /_nodes/{node...

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