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ElasticSearch Server

You're reading from   ElasticSearch Server Whether you're experienced in search servers or a newcomer, this book empowers you to get to grips with the speed and flexibility of ElasticSearch. A reader-friendly approach, including lots of hands-on examples, makes learning a pleasure.

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Product type Paperback
Published in Feb 2013
Publisher Packt
ISBN-13 9781849518444
Length 318 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (17) Chapters Close

ElasticSearch Server
Credits
About the Authors
Acknowledgement
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with ElasticSearch Cluster FREE CHAPTER 2. Searching Your Data 3. Extending Your Structure and Search 4. Make Your Search Better 5. Combining Indexing, Analysis, and Search 6. Beyond Searching 7. Administrating Your Cluster 8. Dealing with Problems Index

Indexing tree-like structures


Trees! Trees are everywhere. If you develop a shop application, you probably have categories. If you look at the filesystem, the files and directories are arranged in tree-like structures. This book may also be represented as a tree; chapters contain topics and subtopics. ElasticSearch has functionalities that help us handle tree-like structures. Let's check how we can navigate such data using path_analyzer.

First we'll create a simple mapping:

{
 "settings" : {
  "index" : {
   "analysis" : {
    "analyzer" : {
     "path_analyzer" : {"tokenizer" : "path_hierarchy"}
    }
   }
  }
 },
 "mappings" : {
  "category" : {
   "properties" : {
    "category" : { 
     "type" : "multi_field",
     "fields" : {
      "name" : { "type" : "string", "index" : "not_analyzed" },
      "path" : { "type" : "string", "analyzer" : "path_analyzer", "store" : true }
     }
    }
   }
  }
 }
} 

In order to put those mappings during index creation use the following command:

curl -XPOST...
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