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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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Toc

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

Managing nested objects

There is a special type of embedded object: the nested one. This resolves a problem related to Lucene indexing architecture, in which all the fields of embedded objects are viewed as a single object. During search, in Lucene, it is not possible to distinguish between values and different embedded objects in the same multi-valued array.

If we consider the previous order example, it's not possible to distinguish an item name and its quantity with the same query, as Lucene puts them in the same Lucene document object. We need to index them in different documents and then join them. This entire trip is managed by nested objects and nested queries.

Getting ready

You need an up-and-running Elasticsearch installation...

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