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Elasticsearch Server - Third Edition

You're reading from   Elasticsearch Server - Third Edition Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease

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Product type Paperback
Published in Feb 2016
Publisher
ISBN-13 9781785888816
Length 556 pages
Edition 3rd Edition
Languages
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Authors (2):
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Marek Rogozinski Marek Rogozinski
Author Profile Icon Marek Rogozinski
Marek Rogozinski
Rafal Kuc Rafal Kuc
Author Profile Icon Rafal Kuc
Rafal Kuc
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Table of Contents (18) Chapters Close

Elasticsearch Server Third Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
1. Getting Started with Elasticsearch Cluster FREE CHAPTER 2. Indexing Your Data 3. Searching Your Data 4. Extending Your Querying Knowledge 5. Extending Your Index Structure 6. Make Your Search Better 7. Aggregations for Data Analysis 8. Beyond Full-text Searching 9. Elasticsearch Cluster in Detail 10. Administrating Your Cluster 11. Scaling by Example Index

Using span queries


Elasticsearch leverages Lucene span queries, which allow us to make queries when some tokens or phrases are near other tokens or phrases. Basically, we can call them position aware queries. When using the standard non span queries, we are not able to make queries that are position aware; to some extent, the phrase queries allow that, but only to some extent. So, for Elasticsearch and the underlying Lucene, it doesn't matter if the term is in the beginning of the sentence or at the end or near another term. When using span queries, it does matter.

The following span queries are exposed in Elasticsearch:

  • span term query

  • span first query

  • span near query

  • span or query

  • span not query

  • span within query

  • span containing query

  • span multi query

Before we continue with the description, let's index a document to a completely new index that we will use to show how span queries work. To do this, we use the following command:

curl -XPUT 'localhost:9200/spans/book/1' -d '{
 "title" : "Test...
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