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Elasticsearch 7.0 Cookbook

You're reading from   Elasticsearch 7.0 Cookbook Over 100 recipes for fast, scalable, and reliable search for your enterprise

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789956504
Length 724 pages
Edition 4th Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Table of Contents (19) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Managing Mapping 3. Basic Operations 4. Exploring Search Capabilities 5. Text and Numeric Queries 6. Relationship and Geo Queries 7. Aggregations 8. Scripting in Elasticsearch 9. Managing Clusters 10. Backups and Restoring Data 11. User Interfaces 12. Using the Ingest Module 13. Java Integration 14. Scala Integration 15. Python Integration 16. Plugin Development 17. Big Data Integration 18. Another Book You May Enjoy

Using span queries


The big difference between standard databases (SQL, and also many NoSQL databases, such as MongoDB, Riak, or CouchDB) and Elasticsearch is the number of facilities to express text queries. The span query family is a group of queries that control a sequence of text tokens using their positions: the standard queries don't take care of the positional presence of text tokens.

 

Span queries allow the defining of several kinds of queries:

  • The exact phrase query
  • The exact fragment query (that is, take off and give up)
  • Partial exact phrase with a slop (other tokens between the searched terms, that is, the man with slop 2 can also match the strong man, the old wise man, and so on).

Getting ready

You need an up-and-running Elasticsearch installation as we described in the Downloading and installing Elasticsearch recipe in Chapter 1, Getting Started.

To execute the commands, any HTTP client can be used, such as curl (https://curl.haxx.se/), postman (https://www.getpostman.com/), or similar...

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