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ElasticSearch Cookbook - Second Edition

You're reading from   ElasticSearch Cookbook - Second Edition Over 130 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with ElasticSearch

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783554836
Length 472 pages
Edition 2nd 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 (14) Chapters Close

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

Introduction

Mapping is an 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 it in an index
  • Searching: This is the action to retrieve data from the index

These two operations are closely connected; an error in the indexing step can lead 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 mapping is created by guessing the structure from the data fields that compose the document. Then, this new mapping is automatically propagated to all the cluster nodes.

The default type mapping has sensible default values, but when you want to change their behavior or 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...

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