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Elasticsearch 5.x Cookbook - Third Edition

You're reading from  Elasticsearch 5.x Cookbook - Third Edition

Product type Book
Published in Feb 2017
Publisher
ISBN-13 9781786465580
Pages 696 pages
Edition 3rd Edition
Languages
Author (1):
Alberto Paro Alberto Paro
Profile icon Alberto Paro

Table of Contents (25) Chapters

Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Getting Started 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

Mapping base types


Using explicit mapping allows to be faster in starting to insert the data using a schema less approach without being concerned of the field types, so as to achieve better results and performance in indexing, it's required to manually define a mapping.

Fine-tuning mapping brings some advantages such as:

  • 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 using base fields with a wide range of configurations.

Getting ready

You need an up-and-running Elasticsearch installation as we described in the Downloading and installing Elasticsearch recipe in Chapter 2, Downloading and Setup.

To execute curl via the command line, you need to install curl for your operative system.

To execute this recipe's examples, you...

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