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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

Mapping base types

Using explicit mapping makes it possible to be faster in starting to ingest the data using a schema-less approach without being concerned about field types. Thus, to achieve better results and performance in indexing, it's required to manually define a mapping.

Fine-tuning mapping brings some advantages, such as the following:

  • Reducing the index size on the disk (disabling functionalities for custom fields)
  • Indexing only interesting fields (general speed up)
  • Precooking data for fast search or real-time analytics (such as facets)
  • Correctly defining whether a field must be analyzed in multiple tokens or considered as a single token

Elasticsearch allows you to use base fields with a wide range of configurations.

Getting ready

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