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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

Query rewrite explained

We have already talked about scoring, which is valuable knowledge, especially when trying to improve the relevance of our queries. We also think that when debugging your queries, it is valuable to know how all the queries are executed; therefore, it is because of this that we decided to include this section on how query rewrite works in Elasticsearch, why it is used, and how to control it.

If you have ever used queries, such as the prefix query and the wildcard query, basically any query that is said to be multiterm, you've probably heard about query rewriting. Elasticsearch does that because of performance reasons. The rewrite process is about changing the original, expensive query to a set of queries that are far less expensive from Lucene's point of view, and thus speed up the query execution. The rewrite process is not visible to the client, but it is good to know that we can alter the rewrite process behavior. For example, let's look at what Elasticsearch...

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