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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
Languages
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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

Indexing tree-like structures


Trees are everywhere. If you develop a shop application, you would probably have categories. If you look at the filesystem, the files and directories are arranged in tree-like structures. This book can also be represented as a tree: chapters contain topics and topics are divided into subtopics. As you can imagine, Elasticsearch is also capable of indexing tree-like structures. Let's check how we can navigate through this type of data using path_analyzer.

Data structure

First, let's create a simple index structure by using the following lines of code:

curl -XPUT 'localhost:9200/path' -d '{
  "settings" : {
    "index" : {
      "analysis" : {
        "analyzer" : {
          "path_analyzer" : { "tokenizer" : "path_hierarchy" }
        }
      }
    }
  },
  "mappings" : {
    "category" : {
      "properties" : {
        "category" : {
          "type" : "string",
          "fields" : {
            "name" : { "type" : "string","index" : "not_analyzed" },
      ...
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