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ElasticSearch Cookbook

You're reading from   ElasticSearch Cookbook As a user of ElasticSearch in your web applications you'll already know what a powerful technology it is, and with this book you can take it to new heights with a whole range of enhanced solutions from plugins to scripting.

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Product type Paperback
Published in Dec 2013
Publisher Packt
ISBN-13 9781782166627
Length 422 pages
Edition 1st 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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Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Downloading and Setting Up ElasticSearch 3. Managing Mapping 4. Standard Operations 5. Search, Queries, and Filters 6. Facets 7. Scripting 8. Rivers 9. Cluster and Nodes Monitoring 10. Java Integration 11. Python Integration 12. Plugin Development Index

Introduction


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

Search engines are mainly composed of two parts:

  • Indexing: This action takes a document and stores/indexes/processes it in an index

  • Searching: This action retrieves 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 mapping is not provided, a default mapping 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 you need to provide a new mapping definition.

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

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