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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

Using dynamic templates in document mapping


In the Using explicit mapping creation recipe, we have seen how Elasticsearch is able to guess the field type using reflection. In this recipe, we'll see how to help it to improve its guessing capabilities via dynamic templates.

Dynamic template feature is very useful, for example, if you need to create several indices, with similar types, because it allows moving the need to define mappings from coded initial routines to automatic index-document creation. A typical usage is to define types for Logstash log indices.

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.

How to do it...

We can extend the previous mapping adding document-related settings:

 { 
    "order" : { 
    "dynamic_date_formats":["yyyy-MM-dd", "dd-MM-yyyy"],
...
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