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Elasticsearch Server: Second Edition

You're reading from   Elasticsearch Server: Second Edition From creating your own index structure through to cluster monitoring and troubleshooting, this is the complete guide to implementing the ElasticSearch search engine on your own websites. Packed with real-life examples.

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Product type Paperback
Published in Apr 2014
Publisher
ISBN-13 9781783980529
Length 428 pages
Edition Edition
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Toc

Table of Contents (18) Chapters Close

Elasticsearch Server Second Edition
Credits
About the Author
Acknowledgments
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with the Elasticsearch Cluster 2. Indexing Your Data FREE CHAPTER 3. Searching Your Data 4. Extending Your Index Structure 5. Make Your Search Better 6. Beyond Full-text Searching 7. Elasticsearch Cluster in Detail 8. Administrating Your Cluster Index

Using the parent-child relationship


In the previous section, we discussed the ability to index nested documents along with the parent one. However, even though the nested documents are indexed as separate documents in the index, we can't change a single nested document (unless we use the update API). However, Elasticsearch allows us to have a real parent-child relationship and we will look at it in the following section.

Index structure and data indexing

Let's use the same example that we used when discussing the nested documents—the hypothetical cloth store. However, what we would like to have is the ability to update sizes and colors without the need to index the whole document after each change.

Parent mappings

The only field we need to have in our parent document is name. We don't need anything more than that. So, in order to create our cloth type in the shop index, we will run the following commands:

curl -XPOST 'localhost:9200/shop'
curl -XPUT 'localhost:9200/shop/cloth/_mapping' -d '...
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