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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 nested objects


Nested objects can come in handy in certain situations. Basically, with nested objects, Elasticsearch allows us to connect multiple documents together—one main document and multiple dependent ones. The main document and the nested ones will be indexed together and they will be placed in the same segment of the index (actually, in the same block), which guarantees the best performance we can get for data structure. The same goes for changing the document; unless you are using the update API, you need to index the parent document and all the other nested documents at the same time.

Note

If you would like to read more about how nested objects work on the Lucene level, there is a very good blog post by Mike McCandless at http://blog.mikemccandless.com/2012/01/searching-relational-content-with.html.

Now, let's get to our example use case. Imagine that we have a shop with clothes and we store the size and color of each t-shirt. Our standard, nonnested mappings will look similar...

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