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ElasticSearch Blueprints

You're reading from   ElasticSearch Blueprints A practical project-based guide to generating compelling search solutions using the dynamic and powerful features of Elasticsearch

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Product type Paperback
Published in Jul 2015
Publisher Packt
ISBN-13 9781783984923
Length 192 pages
Edition 1st Edition
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Toc

Table of Contents (10) Chapters Close

Preface 1. Google-like Web Search 2. Building Your Own E-Commerce Solution FREE CHAPTER 3. Relevancy and Scoring 4. Managing Relational Content 5. Analytics Using Elasticsearch 6. Improving the Search Experience 7. Spicing Up a Search Using Geo 8. Handling Time-based Data Index

Overriding default mapping and settings in Elasticsearch


In time-based data, we noticed that we create a new index per time frame. Assuming that the index per time frame needs custom settings other than the default ones, it's not possible to create all future indices manually. As Elasticsearch automatically creates missing indices while indexing, with default settings and mappings, we need some mechanism to override the defaults.

Elasticsearch allows us to override index settings, type settings, and even field-level settings based on patterns.

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