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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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Toc

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

Summary


In this chapter, we discussed ingest nodes which help us to preprocess and enrich the data within the Elasticsearch cluster itself before the actual indexing takes place. We also covered the concept of federated search in Elasticsearch and how it can be achieved with the help of tribe nodes.

Our next chapter is dedicated to Elasticsearch performance improvements under different loads and the right way of scaling production clusters along with covering insights into garbage collection and hot thread issues and how to deal with them. We will also talk about query profiling and query benchmarking to know which part of the query is taking more time to execute. In the end, we will talk about general Elasticsearch cluster tuning advice under high query rate scenarios versus high indexing throughput scenarios.

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