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Elasticsearch Server: Second Edition

You're reading from   Elasticsearch Server: Second Edition From creating your own index structure through to cluster monitoring and troubleshooting, this is the complete guide to implementing the ElasticSearch search engine on your own websites. Packed with real-life examples.

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Product type Paperback
Published in Apr 2014
Publisher
ISBN-13 9781783980529
Length 428 pages
Edition Edition
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Toc

Table of Contents (18) Chapters Close

Elasticsearch Server Second Edition
Credits
About the Author
Acknowledgments
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with the Elasticsearch Cluster 2. Indexing Your Data FREE CHAPTER 3. Searching Your Data 4. Extending Your Index Structure 5. Make Your Search Better 6. Beyond Full-text Searching 7. Elasticsearch Cluster in Detail 8. Administrating Your Cluster Index

Query rewrite


Queries such as the prefix query and the wildcard query—basically, any query that is said to be multiterm—use query rewriting. Elasticsearch does this 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 the Lucene point of view.

An example of the rewrite process

The best way to illustrate how the rewrite process is carried out internally is to look at an example and see what terms are used instead of the original query term. Let's suppose that we have the following data in our index:

curl -XPOST 'localhost:9200/library/book/1' -d '{"title": "Solr 4 Cookbook"}'
curl -XPOST 'localhost:9200/library/book/2' -d '{"title": "Solr 3.1 Cookbook"}'
curl -XPOST 'localhost:9200/library/book/3' -d '{"title": "Mastering Elasticsearch"}'

What we want is to find all the documents that start with the letter s. It's as simple as that; we run the following query against our library index:

curl ...
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