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Elasticsearch 5.x Cookbook

You're reading from   Elasticsearch 5.x Cookbook Distributed Search and Analytics

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786465580
Length 696 pages
Edition 3rd 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 (25) Chapters Close

Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Getting Started FREE CHAPTER 2. Downloading and Setup 3. Managing Mappings 4. Basic Operations 5. Search 6. Text and Numeric Queries 7. Relationships and Geo Queries 8. Aggregations 9. Scripting 10. Managing Clusters and Nodes 11. Backup and Restore 12. User Interfaces 13. Ingest 14. Java Integration 15. Scala Integration 16. Python Integration 17. Plugin Development 18. Big Data Integration

Introduction


Mapping is a very important concept in Elasticsearch, as it defines how the search engine should process a document.

Search engines perform two main operations:

  • Indexing: This is the action to receive a document and store/index/process in an index

  • Searching: This is the action to retrieve the data from the index

These two parts are strictly connected. An error in the indexing step leads to unwanted or missing search results.

Elasticsearch has explicit mapping on an index/type level. When indexing, if a mapping is not provided, a default one is created, guessing the structure from the data fields that compose the document; then, this new mapping is automatically propagated to all cluster nodes.

The default type mapping has sensible default values, but when you want to change their behavior or you want to customize several other aspects of indexing (storing, ignoring, completion, and so on), you need to provide a new mapping definition.

In this chapter, we'll see all the possible types...

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